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Pfizer -BioNTech COVID -19 Vaccine
C4591022 NON -INTERVENTIONAL STUDY PROTOCOL
Version 4.0, 09 May 2022
PFIZER CONFIDENTIAL
CT24- WI-GL02 -RF02 3.0 Non-Interventional Study Protocol Template For Secondary Data Collection Study
20-May-2021
Page 1 of 50NON -INTERVENTIONAL (NI) STUDY PROTOCOL
Study information
Title Pfizer -BioNTech COVID -19 Vaccine 
Exposure during Pregnancy : A Non-
Interventional Post -Approval Safet y Study 
of Pregnancy  and Infant Outcomes in the 
Organization of Teratology  Information 
Specialists (OTI S)/MotherToBaby  
Pregnancy  Registry
Protocol number C4591022
Protocol version identifier 4.0
Date 09 May 2022
EU Post Authorization Study (PAS) 
register numberTo be registered before the start of data 
collection
Active substance COVID- 19 mRNA Vaccine is single -
stranded, 5’- capped messenger RNA 
(mRNA) produced using a cell -free in vitro 
transcription from the corresponding DNA 
templates, encoding the viral spike (S) 
protein of SARS -CoV -2
Medicinal product Pfizer -BioNTech COVID -19 Vaccine 
(BNT162b2)
Research question and objectives Is the risk of pregnancy  and infant safet y 
outcomes increased among pregnant women
in the Organization of Teratology  
Information Specialists 
(OTIS)/MotherToBab y Pregnancy  Registry
who were vaccinated with the Pfizer -
BioNTech COVID -19 vaccine during 
pregnancy  compared wit h those who did not 
receive an y COVID -19 vaccine during 
pregnancy ?
Study  Objective
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FDA-CBER-2022-5812-0236185
Pfizer -BioNTech COVID -19 Vaccine
C4591022 NON -INTERVENTIONAL STUDY PROTOCOL
Version 4.0, 09 May 2022
PFIZER CONFIDENTIAL
CT24- WI-GL02 -RF02 3 .0 Non-Interventional Study Protocol Template For Secondary Data Collection Study
20-May-2021
Page 2of 50To assess whether pregnant women 
who received the Pfizer -BioNTech 
COVID -19 vaccine during pregnancy  
experienced increased risk of 
pregnancy  and infant safety  
outcomes, inclu ding major
congenital malformations, 
spontaneous abortion, elective 
termination/abortion, stillbirth, 
preterm delivery , small for 
gestational age, and small for age 
postnatal growth atone year of age, 
relative to pregnant women who 
received no COVID -19 vaccines
during pregnancy .
Author Christina Chambers, PhD, MPH
Professor of Pediatrics
School of Medicine
University  of California San Diego
9500 Gilman Drive, MC 0828
La Jolla, CA 92093
Tel: +1 858-246-1704
Email: [email protected]
This document contains confidential information belonging to Pfizer. Except as otherw ise agreed to in w riting, 
by accepting or reviewing this document, you agree to hold this information in confidence and not copy or 
disclose it to others (except where required by applicable law) or use it for unauthorized purposes. In the event 
of any actual or suspected breach of this obligation, Pfizer must be promptly notified.
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FDA-CBER-2022-5812-0236186
Pfizer -BioNTech COVID -19 Vaccine
C4591022 NON -INTERVENTIONAL STUDY PROTOCOL
Version 4.0, 09 May 2022
PFIZER CONFIDENTIAL
CT24- WI-GL02 -RF02 3 .0 Non-Interventional Study Protocol Template For Secondary Data Collection Study
20-May-2021
Page 3of 501.TABLE OF CONTENTS
1. TABLE OF CONTENTS ................................ ................................ ................................ .......3
2. LIST OF ABBREVIAT IONS ................................ ................................ ................................ 5
3. RESPONSIBLE PARTI ES................................ ................................ ................................ ....7
4. ABSTRACT ................................ ................................ ................................ ........................... 8
5. AMENDMENTS AND UP DATES ................................ ................................ ..................... 11
6. MILESTONES ................................ ................................ ................................ ..................... 14
7. RATIONALE A ND BACKGROUND ................................ ................................ ................ 15
8. RESEARCH QUESTION AND OBJECTI VES ................................ ................................ .16
9. RESEARCH METHODS ................................ ................................ ................................ ....16
9.1. Study  Design ................................ ................................ ................................ ........... 16
9.2. Setting ................................ ................................ ................................ ...................... 17
9.2.1. I nclusion Criteria ................................ ................................ ........................ 17
9.2.2. Exclusion Criteria ................................ ................................ ....................... 17
9.2.3. Follow -Up................................ ................................ ................................ ...18
9.3. Variables ................................ ................................ ................................ .................. 18
9.3.1. I dentif ication of Exposure and Comparator ................................ ............... 18
9.3.2. Classification of Pregnancy  and Infant Outcomes ................................ ......19
9.3.2.1. Major Congenital Malformations ................................ .............. 20
9.3.2.2. Spontaneous abortion ................................ ................................ 21
9.3.2.3. Elective termination/abortion ................................ .................... 21
9.3.2.4. Stillbirth ................................ ................................ ..................... 21
9.3.2.5. Preterm delivery ................................ ................................ ........ 21
9.3.2.6. Small for gestational age at birth ................................ ............... 21
9.3.2.7. Small for age postnatal growth at one year of age .................... 21
9.3.3. Demographic and Clinical Characteristics ................................ ................. 23
9.4. Data Source ................................ ................................ ................................ ............. 26
9.4.1. Modalities of Recruitment ................................ ................................ .......... 28
9.4.2. Maternal Interviews................................ ................................ .................... 29
9.4.3. Medical Records and General Pediatric Evaluation ................................ ...30
9.4.4. Scientific Advisory Board ................................ ................................ .......... 31
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C4591022 NON -INTERVENTIONAL STUDY PROTOCOL
Version 4.0, 09 May 2022
PFIZER CONFIDENTIAL
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20-May-2021
Page 4of 509.5. Study  Size ................................ ................................ ................................ ................ 31
9.6. Data Management ................................ ................................ ................................ ...34
9.7. Data Anal ysis................................ ................................ ................................ .......... 34
9.7.1. Sta tistical Methods......................................................................................34
9.7.2. Primary  Anal yses................................ ................................ ........................ 35
9.7.3. Secondary  Anal yses................................ ................................ .................... 38
9.7.3.1. Stratified/Subgroup Analy ses................................ .................... 38
9.7.3.2. I ndividual Dose Effects ................................ ............................. 38
9.7.3.3. Evaluation for a Pattern of Major Congenital 
Malformations ................................ ................................ ................... 39
9.7.3.4. L ost to Follow -Up................................ ................................ .....39
9.7.4. Sensitivity  Analy ses................................ ................................ .................... 39
9.7.5. Missing Data ................................ ................................ ............................... 40
9.7.6. Analy sis Software ................................ ................................ ....................... 40
9.8. Quality  Control ................................ ................................ ................................ ........ 40
9.9. L imitations of the Research Methods................................ ................................ ......41
9.10. Other Aspects ................................ ................................ ................................ ........ 43
10. PROTECTI ON OF HUMAN SUBJECTS ................................ ................................ ........ 44
10.1. Patient I nformation ................................ ................................ ................................ 44
10.2. Participant Consent ................................ ................................ ............................... 44
10.3. I nstitutional Review Board (IRB)/Independent Ethics Committee (I EC)............ 44
10.4. Ethical Conduct of the Study ................................ ................................ ................ 44
11. MANAGEMENT AND R EPORTI NG OF ADVERSE EVENTS /ADVERSE 
REACTI ONS ................................ ................................ ................................ ...................... 44
12. PL ANS FOR DI SSEM INATING AND COMMUNI CATING STUDY RESUL TS........ 45
13. REFERENCES ................................ ................................ ................................ .................. 46
14. LIST OF TA BLES ................................ ................................ ................................ ............. 50
15. LIST OF FIGURES ................................ ................................ ................................ ........... 50
ANNEX 1. LIST OF STAND ALONE DOCUMENTS .........................................................50
ANNEX 2. ADDITIONAL  INFORMATION ................................ ................................ ......... 50
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C4591022 NON -INTERVENTIONAL STUDY PROTOCOL
Version 4.0, 09 May 2022
PFIZER CONFIDENTIAL
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20-May-2021
Page 5of 502. LIST OF ABBREVIATIONS
Abbreviation Definition
AE adverse event
BMI body  mass index 
CBER Center for Biologics Evaluation and Research
CDC Centers for Disease Control and Prevention  
CI confidence interval
COVID -19 Coronavirus disease 2019
EUA Emergency  Use Authorization
EU PAS European Union Post Authorization Study
FDA Food and Drug Administration
HCP health care provider
HIPAA Health Insurance Portability  and Accountability  Act
HR hazard ratio
IEC independent ethics committee
IRB Institutional Review Board
IPTW inverse probability  of treatment weighting
LMP last menstrual period
MACDP Metropolitan Atlanta Congenital Defects Program
MI multiple imputation
MICE multivariate imputation by  chained equations
mRNA messenger ribonucleic acid
NCHS National Center for Health Statistics
OTIS Organization of Teratology  Information Specialists
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C4591022 NON -INTERVENTIONAL STUDY PROTOCOL
Version 4.0, 09 May 2022
PFIZER CONFIDENTIAL
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20-May-2021
Page 6of 50Abbreviation Definition
PASS Post-Authorization Safety Study
PDA patent ductus arteriosus
PFO patent foramen ovale
PMC postmarketing commitment
RR risk ratio
SAP Statistical Analy sis Plan
SARS -CoV -2 severe acute respiratory  syndrome coronavirus 2 
SOP standard operating procedure
Tdap tetanus, diphtheria, and acellular pertussis
UCSD University  of California San Diego
US United States
VAMPSS Vaccines and Medications in Pregnancy  Surveillance 
System
WHO World Health Organization
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Pfizer -BioNTech COVID -19 Vaccine
C4591022 NON -INTERVENTIONAL STUDY PROTOCOL
Version 4.0, 09 May 2022
PFIZER CONFIDENTIAL
CT24- WI-GL02 -RF02 3 .0 Non-Interventional Study Protocol Template For Secondary Data Collection Study
20-May-2021
Page 7of 503.RESPONSIBLE PARTIES
Principal Investigator(s) of the Protocol
Nam e, degree(s) Job Title Affiliation Address
Christina 
Chambers, PhD, 
MPHPrincipal 
Investigator, OTIS 
Mother to Bab yUniversity  of 
California, San 
Diego9500 Gilman Dr. #0828
La Jolla, CA, 92093 -
0828
Kenneth Ly ons 
Jones, MDCo-Investigator, 
OTIS Mother to 
BabyUniversity  of 
California, San 
Diego9500 Gilman Dr. #0828
La Jolla, CA, 92093
Renu Garg, PhD, 
MPHNon-Interventional 
(NI) Stud y LeadPfizer, I nc. 235 East 42nd Street
New York, NY
10017
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C4591022 NON -INTERVENTIONAL STUDY PROTOCOL
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PFIZER CONFIDENTIAL
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20-May-2021
Page 8of 504.ABSTRACT
Title: Pfizer -BioNTech COVID- 19 Vaccine Exposure during Pregnancy : A Non -
Interventional Post- Approval Safet y Study of Pregnancy and Infant Outcomes in the 
Organization of Teratology  Information Specialists (OTI S)/MotherToBaby  Pregnancy  
Registry
Main author: Christina Chambers, University  of California S an Diego (UCSD) and the 
Organization of Teratology  Information Specialists (OTI S) 
Rationale and background: In December 2019, a novel coronavirus (severe acute 
respiratory  syndrome coronavirus 2 [SARS -CoV -2]) was first identified by public health 
official s in China. The World Health Organization (WHO) declared the SARS -CoV -2 
outbreak and associated disease (Coronavirus disease 2019 [COVID -19] a global pandemic 
in March 2020. Despite public health efforts, the incidence of COVID -19 has continued to 
rise, la rgely affecting middle -aged persons with worsening clinical sequelae linked to 
increasing age and comorbid conditions (e.g., cardiovascular disease, diabetes and chronic 
lung disease). As of 17 May  2021, over 32.9 million COVI D-19 cases and 586,330 deaths 
have been reported in the United States (US) alone ( The Center for S ystems Science and 
Engineering at Johns Hopkins University , 2021 ).The Food and Drug Administration ( FDA )
initially  granted Emergency  Use Authorization (EUA) for the Pfizer -BioNTech COVID -19 
vaccine two-dose primary  series on 11 December 2020 in individuals 16 y ears of age and 
older ,and approved the vaccine for this population on 23 August 2021 ( FDA, 2021a ;FDA, 
2021b ).FDA expanded the EUA on 10 May  2021 to include children 12 -15 years of age ,and 
on 29 October 2021 to include lower -dose vaccine administration for children 5- 11 years of 
age(FDA, 2021 c;FDA, 2021 d).The EUA was further amended on 12 August 2021 to 
include the administration of a third primary  series dose in certain immunocompromised 
individuals 12 y ears of age and older , and on 22 September 2021 to allow for use of a single 
booster dose at least six months after completion of the primary  series in certain populations
(FDA, 2021 e).
Available data suggest that pregnant women who become infected with COVID -19 may  be 
more likely  to be hos pitalized and may  be at increased risk of preterm delivery  (MMWR, 
2020 ).Pfizer is conducting a Phase 2/3 clinical trial of the safety  and immunogenicity  of the 
Pfizer -BioNTech COVID- 19 vaccine in pregnant women. Interim analy ses of Pfizer’s Phase 
3 clinical trial for vaccine candidate BNT162b2 were reported in December 2020 and 
showed that the two -dose regimen had 95% efficacy  in the prevention of COVID -19 among 
individuals without evidence of prior SARS -CoV -2 infection. While the current product 
labeling communicates that data are insufficient, the Pfizer -BioNTech COVID- 19 vaccine 
may be received by  pregnant women when they  and their healthcare providers believe that 
risk/benefit considerations favor its use. As of 25 October 2 021, more than 169,000 women 
reported to the Centers for Disease Control and Prevention ’s (CDC ) V-safe surveillance 
system that they  were vaccinated during pregnancy (CDC, 2021a ). Therefore, information 
regarding the real -world safet y of vaccination during pregnancy is essential from a public 
health perspective.
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Pfizer -BioNTech COVID -19 Vaccine
C4591022 NON -INTERVENTIONAL STUDY PROTOCOL
Version 4.0, 09 May 2022
PFIZER CONFIDENTIAL
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20-May-2021
Page 9of 50This non- interventional study  is designated as a Post -Authorization Safety  Study  (PASS) and 
isa postmarketing commitment (PMC) to the FDA .
Research question and objectives : Is the risk of pregnancy  and infant safety  outcomes 
increased among pregnant women in the Organization of Teratology  Information Specialists 
(OTIS)/MotherToBab y Pregnancy  Registry  (OTIS Pregnancy  Registry )who were vaccinated 
with the Pfizer -BioNTech COVID -19 vaccine during pregnancy  compared with those who 
did not receive an y COVID -19 vaccine during pregnancy ?
Study  Objective
To assess whether pregnant women who receiv edthe Pfizer -BioNTech COVID-19 
vaccine during pregnancy  experience dincrease d risk of pregnancy  and infant safet y 
outcomes, including major congenital malformations, spontaneous abortion, elective 
termination/abortion, stillbirth, preterm delivery , small for gestational age, and small 
for age postnatal growth at one year of age , relative to pregnant women who receiv ed
no COVID -19vaccine sduring pregnancy .
Study design: This proposed study is a prospective, observational cohort study  of pregnancy  
and infant safety  outcomes in pregnant women with exposure to the Pfizer -BioNTech 
COVID -19 vaccine using data from the OTIS Pregnancy  Registry . The birth 
prevalence /incidence rat esof pregnancy  outcomes and incidence proportion of the infant 
outcome for women exposed to an y dose of the Pfizer -BioNTech COVID-19 within one 
month prior to the first day  of the last menstrual period (LMP) to end of pregnancy  will be 
compared to those o bserved in a comparator cohort unexposed to any  COVID -19 vaccine 
during this period.
Population: The study  population includes pregnant women of all ages participating in the 
OTIS Pregnancy  Registry  on or after 11 December 2020 (i.e., date FDA granted EUA for the 
Pfizer -BioNTech COVID -19 vaccine ). The OTIS Pregnancy  Registry  includes women who 
resid ein the US or Canada. Women with a known pregnancy  outcome at the time of study  
enrollment (e.g., positive prenatal diagnostic test results for a major congenit al malformation 
prior to study  entry ), exposure to known human teratogens during pregnancy, or receipt of 
anyvaccine during pregnancy other than the Pfizer -BioNTech COVID- 19 vaccine, influenza 
vaccine, or Tdap vaccine are not eligible for stud y entry. 
Variables: Exposure will be defined as receipt of the Pfizer -BioNTech COVID- 19 vaccine 
obtained by  maternal report and/or medical record, with information on the gestational 
timing and date(s) of vaccination captured. A copy  of the COVID -19 vaccine record is
requested to supplement maternal report of vaccination. Pregnancy  outcomes of interest 
include major congenital malformations, spontaneous abortion, elective termination/abortion 
for an y reason, stillbirth, preterm delivery , and small for gestational age . The infant outcome 
of interest is small for age postnatal growth of live born infants at one year of age. Each 
pregnancy  and infant outcome will be anal yzed separatel y, and the following exposed cohort 
and unexposed cohort will be defined for each outcome analysis (depending on a 
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C4591022 NON -INTERVENTIONAL STUDY PROTOCOL
Version 4.0, 09 May 2022
PFIZER CONFIDENTIAL
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20-May-2021
Page 10of 50participant’s timing of vaccination/study  enrollment as it relates to the at -risk period for an 
outcome) :
Pfizer -BioNTech COVID -19 Vaccine -Exposed 
–Pregnant women with exposure to at least one dose of the Pfizer- BioNTech 
COVID -19 vaccine within one month before the first day  of LMP up to and 
including end of pregnancy
COVID -19 Vaccine -Unexposed (Comparator)
–Pregnant women with no exposure to any  COVID -19 vaccine within one month 
before the first day  of LMP up to and including end of pregnancy .
Information on study outcomes will be obtained by maternal report and /ormedical record 
review. Potential confounders or covariates to be collected include maternal age, 
race/ethnicity, socioeconomic status, pregnancy  and health history , lifest yle factors, 
comorbidities ,medication use, vaccine exposures ( including COVID -19 vaccination prior to 
and during pregnancy ),vitamin/mineral exposures, and prenatal tests .Forwomen who 
received the Pfizer -BioNTech COVID -19 vaccine, information will also be collected on the 
specific doses ( i.e., 1st, 2nd, 3rd,and booster) of the vaccine received .
Data source: This study  will use data collected as part of the OTIS Pregnancy  Registry  from 
maternal interviews, medical records (obstetric , delivery  hospital, pediatric, vaccine provider, 
and/or other specialty  provider if applicable), and pregnancy  exposure diary .
Study size: The target sample size for the study  is 2000 pregnant women: 1100 pregnant 
women in the Pfizer -BioNTech COVID- 19 vac cine exposure cohort and 9 00 pregnant 
women in the COVID -19 vaccine- unexposed comparator cohort.
Data analysis: The distributions of demographic and baseline characteristics will be 
summarized within the exposure and comparator cohort. The following measures will be 
calculated for the pregnancy  and infant outcomes: birth prevalence of major congenital 
malformations; incidence rates of spontaneous abortion, elective termination/abortion, 
stillbirth, and preterm delivery ;and incidence pr oportions of small for gestational age and
small for age postnatal growth at one y ear of age . For each outcome, risk estimates will be 
described separatel y for the Pfizer -BioNTech COVID- 19 vaccine exposure cohort and the 
comparator cohort. The outcomes wil l be compared between the Pfizer -BioNTech COVID-
19 vaccine -exposed and vaccine -unexposed cohort s.Where feasible, comparisons will also 
be made using methods to control potential confounding and to evaluate outcomes following 
receipt of specific doses ( i.e., 1st, 2nd, 3rd, booster) in pregnancy .
Milestones: Pregnant women participat ingin the OTI S Pregnancy  Registry  on or after 11 
December 2020 (date of EUA for the Pfizer -BioNTech COVID -19 vaccine )areeligible for 
study  enrollment . The start of data collection (defined as start date of data extraction for the 
first interim report) will be 01 October 2021. Four annual interim reports will be submitted. 
The final study  report and anal ysis is projected for December 202 4.
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Version 4.0, 09 May 2022
PFIZER CONFIDENTIAL
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20-May-2021
Page 11of 505.AMENDMENTS AND UPDAT ES
Amendment 
NumberDate Protocol 
Section(s) 
ChangedSummary of Amend ment(s) Reason
1 20 August 
20216 Changed the date for “Final study 
report” from 01 December 2025 to 31 
December 2025.Information Request from Center 
for Biologics Evaluation and 
Research (CBER) received on 27 
July 2021 ; CBER follow -up 
request on 19 August 2021.
6 Changed the date for “End of data 
collection” from 01 August 2025 to 30
June 2025.Allows for a 6 -month period 
after end of data collection to 
conduct analyses and prepare 
final study report.
9.3.1 ,
9.4.3 ,
Table 1Added clarification that aparticipant is 
classified as exposed if she reports in 
the maternal interviews that she 
received the Pfizer -BioNTech COVID -
19 vaccine orif there is supporting 
documentation in the medical record for 
receipt of the Pfizer -BioNTech COVID -
19 vaccine.To clarify the use of maternal 
interviews and medical records in 
the classification of Pfizer -
BioNTech COVID -19 vaccine 
exposure status.
9.3.2.1 Added information on the expert 
dysmorphologist who review sand 
classif ies major congenital 
malformations including the 
qualifications and rationale for selection 
of the revie wer.Information Request from Center 
for Biologics Evaluation and 
Researc h(CBER) received on 27 
July 2021 .
Table 2 ,
9.4.2Added clarifications on data elements 
that are collected as part of existing 
registry procedures .Information Request from CBER
received on 27 July 2021 .
9.4.1 Provided additional information on 
patient -initiated recruitment efforts and
retention plans , including recruitment 
and retention strategies for diverse 
populations.Information Request from CBER
received on 27 July 2021 .
9.5 Added rationale for the target sample 
size.Information Request from CBER
received on 27 July 2021 .
Table 4 Added sample size and pow er 
calculations for the infant outcome of 
small for age postnatal growth atone 
year of age ;Information Request from CBER
received on 27 July 2021 .
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Page 12of 50Amendment 
NumberDate Protocol 
Section(s) 
ChangedSummary of Amend ment(s) Reason
Added detail s on how the exposed and 
comparator sample sizes for each of the 
study endpoints were derived.
Corrected sample sizes for comparator 
cohort Ns in Table 4.Error w as made in transferring 
sample size estimates of 
comparator c ohort to Table 4 in 
the previously submitted 
protocol .
2 29 November 
20214,
6,
7Updated milestones. To reflect current recruitment 
timelines.
7 Updated Rationale and Background. 1) To reflect the current approval 
and authorization status of the 
Pfizer -BioNTech COVID -19 
vaccine in the United States, and 
2) to update the number of 
women who reported to the 
Centers for Disease Control and 
Prevention V -safe surveillance 
system that th ey received the 
vaccine during pregnancy.
9.1,
9.5,
9.7.3.1,
Table 2, 
Table 4, 
Table 5Increased sample size to allow for 
increased capture of women receiving a 
booster dose of the Pfizer -BioNTech 
COVID -19 vaccine during pregnancy ; 
added 3rdand booster doses to the 
variable for specific dose of Pfizer -
BioNTech COVID -19 vaccine; added 
subgroup analysis to include 3rdand 
booster doses.To add safety assessment of 3rd
and booster doses after 
authorization.
9.3.1 Added clarification based on ACOG 
guidelines how gestational weeks are 
defined if first day of LMP is unclear or 
if ultrasound dates differ from LMP -
derived dates.To clarify how gestational weeks 
are calculated.
3 09 May 2022 4,
9.2.1,
Table 2Removed inclusion criteria of maternal 
age 18 or olderTo allow  for enrollment of 
individuals who are <18 years of 
age as per CBER request given 
vaccine authorization/approval in 
younger ages.
Table 2 Change definition of g estational age at 
vaccination/study enrollment from 13, To align with the SAP and 
definitions used for the study
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Page 13of 50Amendment 
NumberDate Protocol 
Section(s) 
ChangedSummary of Amend ment(s) Reason
13-19.9, ≥20 w eeks gestation to ≤13, 
13.1-19.9, ≥20
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Page 14of 506.MILESTONES
Milestone Planned Date
Registration in the EU PAS register 29 September 2021
Start of data collection 01 October 20211
Interim Annual Reports131 January 2022
31 January 2023
31 January 2024
End of data collection 30 June 20242
Final study report 31 December 2024
1Pregnant women participa tinginthe OTIS Pregnancy Reg istry on or after 11 December 2020 after EUA 
for the Pfizer -BioNTech COVID -19 vaccine are eligible for study inclusion . The start of data collection is 
defined as the planned date for starting data extraction for the first interim report.
2The end of data co llection is defined as the planned date on which the analytic dataset will be first 
completely available ; the analytic dataset is the minimum set of data required to perform the statistical
analysis for the primary objective(s) .
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Page 15of 507.RATIONALE AND BACKGR OUND
In December 2019, a novel coronavirus (severe acute respiratory  syndrome coronavirus 2 
[SARS -CoV -2]) was first identified by  public health officials in China. The World Health 
Organization (WHO) declared the SARS -CoV -2 outbreak and associated disease 
(Coronavirus disease 2019 [ COVI D-19 ] a global pandemic in March 2020. Despite public 
health efforts, the incidence of COVID -19 has continued to rise, largel y affecting middle -
aged persons with worsening clinical sequelae linked to increasing age and comorbid 
conditions (e.g., cardiovascular d isease, diabetes and chronic lung disease). As of 17 May  
2021, over 32.9 million COVID -19 cases and 586,330 deaths have been reported in the 
United States (US) alone ( The Center for S ystems Science and Engineering at Johns Hopkins 
University , 2021 ).
Pfizer and BioNTech have partnered to develop a novel (messenger ribonucleic acid) mRNA 
vaccine against SARS- CoV -2 for the prevention of COVID-19 (Candidate BNT162b2). 
Pfizer is conducting a Phase 1/2/3, randomized, placebo -controlled, observer -blind, dose -
finding, vaccine candidate- selection, and efficacy  study  among healthy  individuals 
(NCT04368728). Interim anal yses of Pfizer’s Phase 3 clinical trial for vaccine candidate 
BNT162b2 were reported in December 2020 and showed t hat the two- dose regimen had 95% 
efficacy  in the prevention of COVID -19 among individuals without evidence of prior SARS-
CoV -2 infection. Based on the safet y and efficacy data, as well as a review of manufacturing 
information regarding product quality  and consistency , the Food and Drug Administration 
(FDA) determined that the known and potential benefits of the vaccine outweighed the 
known and potential risks for the prevention of COVID -19 in individuals 16 y ears of age and 
older ( FDA, 2021 a). The FDA initiallygranted Emergency  Use Authorization (EUA) for the 
Pfizer -BioNTech COVID- 19 vaccine two-dose primary  series on 11 December 2020 in 
individuals 16 y ears of age and older ,and approved the vaccine for this population on 23 
August 2021 (FDA, 2021a ;FDA, 2021b ).  FDA expanded the EUA on 10 May  2021 to 
include children 12 -15 years of age , and on 29 October 2021 to include lower- dose vaccine 
administration for children 5- 11 years of age (FDA, 2021 c;FDA, 2021 d).The EUA was 
further amended on 12 August 2021 to include the administrat ion of a third primary  series 
dose in certain immunocompromised individuals 12 y ears of age and older, and on 22 
September 2021 to allow for use of a single booster dose at least six months after completion 
of the primary  series in certain populations (FDA, 2021 e).
Studies in women with COVID -19 infection are limited. The available data suggest that 
pregnant women who become infected with COVID -19 may  be more likely  to be 
hospitalized and may  be at increased risk of preterm deli very (MMWR, 2020 ). The COVID -
19 vaccine is likel y to be utilized by  pregnant women when they  and their healthcare 
providers believe that risk/benefit considerations favor its use. Also, given the frequency of 
unplanned pregnancies, information regarding the safet y of the COV ID-19 vaccine in human 
pregnancy  is essential from a public health perspective. As of 25 October 2021 , more than 
169,000 women reported to the Centers for Disease Control and Prevention (CDC) V-safe 
surveillance s ystem that they  were vaccinated during pre gnancy  (CDC, 2021a ).Therefore, 
information regarding the real -world safet y of vaccination during pregnancy is essential from 
a public health perspective.
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Page 16of 50The current Pfizer- BioNTech COVID -19 vaccine product label for healthcare providers 
specifies that safet y data are insufficient or not available to assess vaccine -associated risks in 
pregnant or lactating women. However, Pfizer is conducting an ongoing Phase 2/3 clinical 
trial of the safety  and immunogenicit y of the vaccine in pregnant women. In addition, this 
protocol proposes an observational stud y to evaluate pregnancy  and infant safet y outcomes 
among pregnant women enrolled in an established North American pregnancy  registry  who 
were exposed to the Pfizer -BioNTech COVID -19 vaccine .
This non- interventional study  is designated as a Post -Authorization Safety  Study  (PASS) and 
isa postmarketing commitment (PMC) to the FDA .
8.RESEARCH QUESTION AND OBJECTIVES
Is the risk of pregnancy  and infant safet y outcomes increased among pregnan t women in the 
Organization of Teratology  Information Specialists (OTI S)/MotherToBaby  Pregnancy  
Registry  (OTI S Pregnancy  Registry )who were vaccinated with the Pfizer- BioNTech 
COVID -19 vaccine during pregnancy  compared with those who did not receive any  COVID-
19 vaccine during pregnancy ?
Study  Objective
To assess whether pregnant women who receiv edthe Pfizer -BioNTech COVID-19 
vaccine during pregnancy  experience dincreased risk of pregnancy  and infant safet y 
outcome s,including major congenital malformations, spontaneous abortion, elective 
termination/abortion, stillbirth, preterm delivery , small for gestational age, and small 
for age postnatal growth at one year of age , relative to pregnant women who receiv ed
no COVID -19vaccine sduring pregnanc y.
9. RESEARCH METHODS 
9.1.Study Design 
This proposed study  is a prospective, observational cohort study  of pregnancy  and infant 
safet y outcomes in pregnant women of all ages in the OTI S Pregnancy  Registry  who received 
the Pfizer -BioNTech COVID- 19 vaccine any  time from one month before the first day  of the 
last menstrual period (LMP) to the end of pregnancy . The comparator cohort includes 
pregnant women who received no COVID -19 vaccines within one month before the first day  
of LMP to end of pregnancy . The pregn ancy  outcomes are major congenital malformations, 
spontaneous abortion, elective termination/abortion, stillbirth, preterm delivery , and small for 
gestational age ; the infant outcome is small for age postnatal growth at one y ear of age. The 
target sample size for the study  is 2000 pregnant women: 1 100pregnant women in the
Pfizer -BioNTech COVID-19 vaccine exposure cohort and 900 pregnant women in the 
COVID -19 vaccine- unexposed comparator cohort .The main measures of effect are 
unadjusted and adjusted risk r atios (RRs) and 95% confidence intervals (CIs) comparing the 
Pfizer -BioNTech COVID- 19 vaccine exposed cohort to the comparator cohort for the 
outcomes of major congenital malformations, small for gestational age, and postnatal growth; 
and unadjusted and ad justed hazard r atios (HRs) and 95% CI scomparing the Pfizer -
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Page 17of 50BioNTech COVID -19 vaccine exposed cohort to the comparator cohort for the outcomes of 
spontaneous abortion, elective termination /abortion , stillbirth, and preterm delivery .
9.2. Setting
This study  will use data that are collected as part of the existing OTI S Pregnancy  Registry  
(described further in Section 9.4Data Source) and converted to a structured database for 
analysis. The registry  includes pregnant women who reside in the US or Canada and allows 
for direct capture of information from participants through various health interviews. To 
obtain information provided by  thetreating ph ysicians, data are collected from medical 
records for pregnant women and their infant s.
When pregnant women are in contact with the OTIS Research Center, enrollment in the 
OTIS Pregnancy  Registry  is voluntary  and requires informed consent of the pregnant woman. 
The study  encourages enrollment as earl y as possible in the pregnancy  before an y prenatal 
testing results are known. This is accomplished by  encouraging clinicians to refer patients, 
and patients who contact an OTIS service or who self -refer, to enroll upon first positive 
pregnancy  test. These efforts reduce possible bias based on prior knowledge of a normal or 
abnormal ultrasound and allow for better estimation of risk of spontaneous abortion. 
9.2.1. Inclusion Criteria
Individuals must meet all of the following inclusion criteria to be eligible for inclusion in the 
study :
Residence in the US or Canada
Enrolled in the OTIS Pregnancy  Registry  and c urrently  pregnant on or after 11 
December 2020 (i.e., date of EUA for the Pfizer -BioNTech COVID -19 va ccine)
9.2.2. Exclusion Criteria
Individuals meeting any of the following criteria will not be included in the study :
Previous entry  into th isstudy  for a prior pregnancy
Receipt of an y vaccine other than the Pfizer -BioNTech COVID -19 vaccine, influenza 
vaccine, o r Tdap vaccine (e.g., Moderna or Johnson & Johnson COVI D-19 vaccines, 
human papillomavirus vaccine, hepatitis B vaccine, etc.) from one month before the 
first day  of LMP up to and including end of pregnancy
Exposure to known human teratogens during pregnancy within one month before the 
first day  of LMP up to and including end of pregnancy
Known pregnancy  outcome at time of study  enrollment (e.g., positive prenatal 
diagnostic test results for a major congenital malformation prior to study  entry )
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Page 18of 509.2.3. Follow -Up
Pregnant women are entered in a cohort at the time of enrollment into the OTI S Pregnancy  
Registry . Information is collected on their pregnancy  to date and they  are then followed for 
the duration of their pregnancy . In addition, infants will be fo llowed for potential safet y 
events through their first y ear of life. Follow -up will end at the earliest of the following 
events:
Lost to follow -up, i.e., an enrolled individual who withdraws or who fails to complete 
the outcome interview despite a standard number of telephone attempts and attempt to 
contact b y mail as per study procedure manual within one year of the participant’s 
estimated due date.
Receipt of an y vaccine other than the Pfizer -BioNTech COVID -19 vaccine, influenza 
vaccine, or Tdap vaccine ( e.g., Moderna or Johnson & Johnson COVI D-19 vaccines, 
human papillomavirus vaccine, hepatitis B vaccine, etc.) during pregnancy
Occurrence of spontaneous abortion, elective termination/abortion, or stillbirth
End of follow -up (i.e., one -year post -partum)
End of study  period
Infant death
Maternal death during pregnancy .
9.3.Variables
Variables for the exposures, outcomes, demographics, and clinical characteristics of interest 
are included below. Data on these variables will be collected via maternal interview an d 
medical record review per standard process described in the OTIS Pregnancy Registry  
protocol. Detailed operational definitions will be provided in the Statistical Analy sis Plan 
(SAP) .
9.3.1. Identification of Exposure and Comparator
Vaccine exposure data are ob tained b y maternal report and/or medical record to classify  
Pfizer -BioNTech COVID -19 vaccine exposure status .The two sources of information are 
used in order to minimize misclassification of exposure status. Detailed information 
regarding vaccine exposure status of participants is obtained through the maternal interviews 
including at enrollment, at interim timepoints during pregnancy, and at pregnancy  outcome 
interview (0 to 6 weeks after the expected due date or end of pregnancy ).Participants are 
directl y queried about the specific vaccines they  received, including information on the 
gestational timing, dates of exposure, and brand. Vaccine exposures are coded using the 
Slone Drug Dictionary . Maternal report that a COVID -19 vaccine was received is 
complem ented b y requesting a cop y of the COVID -19 vaccine record. In addition, medical 
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Page 19of 50records from the obstetric provider, hospital of delivery , and any  specialt y provider are 
reviewed (when available) for all participants.
A participant is classified as unexpos ed if she reports that she did not receive an y COVID -19 
vaccine and her medical record (when available) shows no indication that she received an y 
COVID -19 vaccine. A participant is classified as exposed if she reports in the maternal 
interviews that she re ceived the Pfizer -BioNTech COVID-19 vaccine or if there is supporting 
documentation in the medical record for receipt of the Pfizer -BioNTech COVID-19 vaccine .
If maternal report indicates no receipt of a COVID -19 vaccine but the medical record 
indicates discordance such that the Pfizer -BioNTech COVID -19 vaccine was administered, 
the medical record would supersede maternal report and the participant would be classified 
asPfizer -BioNTech COVID -19 vaccine- exposed. Moreover , where maternal report indicates 
that the Pfizer -BioNTech COVID -19 vaccine was received but documentation in the medical 
record is discordant (i.e., no indication in medical record that COVID -19 vaccine was 
administered), the maternal repor t would supersede medical record for classification as 
exposed.
The estimated gestational weeks to qualify  participants for the study  for exposure and to 
classify  outcomes is based on weeks from the first day  of LMP which is counted as day  0. In 
circumstan ces where the date of LMP is not available or uncertain, or when a prenatal 
ultrasound estimates a gestational week that is discrepant according to obstetric guidelines, 
gestational week of pregnancy  will be assigned based on the earliest available ultrasound 
(ACOG, 2017).
Table 1below provides a description of variables for exposures to be included in this study . 
Each pregnancy  and infant outcome will be anal yzed separatel y, and the following exposure 
and comparator cohorts will be defined separately for each outcome anal ysis ( depending on a 
participant’s timing of vaccination/study  enrollment as it relates to the at -risk peri od for an 
outcome ):
Pfizer -BioNTech COVID -19 Vaccine (Exposure)
–Receipt of at least one dose of the Pfizer- BioNTech COVID -19 vaccine during 
the study  period at any  time from one month before the first day  of LMP up to 
and including end of pregnancy
COVID -19 Vaccine -Unexposed (Comparator)
–Receipt of no COVID -19 vaccines during the study  period within one month 
before the first day  of LMP up to and including end of pregnancy
9.3.2. Classification of Pregnancy and Infant Outcomes
The following pregnancy and in fant outcome variables (refer to Table 1) are obtained by  
maternal report and /ormedical record review (when available) as part of existing procedures 
for the pregnancy  registry .
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Page 20of 509.3.2.1. Major Congenital Malformations
The method for classify ing major congenital malformations for purpose of anal ysis has been 
described b y the stud y investigators and the OTIS Research Group ( CDC, 2000 ;Olsen et al., 
2010 ) and has been used in previous studies conducted b y OTIS.
A major congenital malformation is defined as a defect that has either cosmetic or functional 
significance to the child (e.g., a cleft lip). Major congenital malformations diagnosed during 
pregnancy  and up to 1 y ear of age are reported b y participants or the healthcare provider, or 
are identified through medical record review. Independent confirmation of certain defects is 
required via medical record review. For example, a heart murmur thought to represent a 
ventricular septal defect prior to 1 y ear of age will be included if it is confirmed as a heart 
defect b y cardiac ultrasound. Similarly , a midline cutaneous marker at L2- L3 noted will be 
included as occult spinal dy sraphism only  if confirmed by  appropriate imaging studies.
Classification of major defects is performed uniformly  across cohorts according to the CDC 
Metropolitan Atlanta Congenital Defects Program (MACDP) coding criteria ( CDC, 2017).
Some major congenital malformations are known consequences of pregnancy  events, 
such as preterm delivery , and are therefore not directly  due to vaccine exposure. For 
example, isolated patent ductus arteriosus or isolated inguinal hernia in an infant 
delivered before 36 weeks’ gestation are considered consequences of prematurity , and 
therefore, using CDC coding criteria, none of these defects are counted as major 
congenital malformations. Other structural defects, such as club foot or cranial 
synostosis, could be due to position of the infant in the uterus or could be primary  
defects initi ated earlier in pregnancy . In most cases, it is not possible to know the true 
onset or etiology  of the defect. Therefore, using CDC coding criteria, these anomalies 
are counted as major congenital malformations uniformly  across all cohorts.
One exception to using the CDC coding criteria is that chromosomal anomalies will 
not be counted as major congenital malformations as it is unlikely  that a vaccine 
exposure could cause a chromosomal defect.
The uniform coding reduces differences in outcome definitions be tween studies for a better 
interpretation of results in the event they  are compared. It is anticipated that the occurrence of 
defects that are unrelated to vaccine exposure in the proposed stud y population will be 
nondifferential across cohorts. Therefore, their inclusion, when indicated, represents part of 
the baseline risk for major congenital malformations in each cohort. This should not impact 
the risk estimates and measures of association. 
Major congenital malformations identified by  prenatal ultrasou nd or examination of the 
products of conception following elective termination/abortion or spontaneous abortion will 
not be included in the primary  anal ysis due to potential bias involved in non -uniform use of 
prenatal diagnosis and pathology  evaluation for all abortuses .
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Page 21of 50As per recommend ations in the FDA draft Guidance for Industry Postapproval Pregnancy 
Safety Studies (May  2019) ,an expert d ysmorphologist and co -investigator for OTIS 
Pregnancy  Registry  studies , Dr. Kenneth Ly ons Jones, reviews all the med ical records and 
reports of major congenital malformations. The review is done blinded to exposure status and 
performed in the same manner for exposed and comparator cohort s.Dr. Jones is a 
pediatrician and the leading authorit y on environmental causes of congenital anomalies . He is 
the author of the main textbook in this field titled Smith’s Recognizable Patterns of 
Malformation, 8thEdition ( Jones et al ., 2021 ).
9.3.2.2. Spontaneous abortion
Defined as non -deliberate fetal death which occurs prior to 20 weeks from the first day  of 
LMP. 
9.3.2.3. Elective termination/abortion
Defined as deliberate termination of pregnancy  at any  time in gestation. Reasons for elective 
termination/abortion are captured a nd are classified as due to medical reasons or social 
reasons. 
9.3.2.4. Stillbirth
Defined as non -deliberate fetal death any  time in gestation at or after 20 weeks from the first 
day of LMP.
9.3.2.5. Preterm delivery
Defined as live birth prior to 37 weeks ’gestation as counted from the first day  of LMP.
9.3.2.6. Small for gestational age at birth
Defined separately  for weight, length, and head circumference (binary  endpoints) asbirth 
sizeless than or equal to the 10th centile for sex and gestational age using stan dard pediatric 
CDC growth curves for full term or preterm infants ( CDC, 2000; Olsen et al., 2010). 
9.3.2.7. Small for age postnatal growth at one year of age
Defined separately  for weight, length, and head circumference (binary  endpoints) as 
postnatal size less than or equal to the 10th centile for sex and age using National Center for 
Health Statistics (NCHS) pediatric growth curves, and adjusted postnatal age for preterm 
infants if the postnatal measuremen t is obtained at less than 1 y ear of age ( CDC, 2000).
Table 1. Exposure, Comparator, Exclusion, and Outcome Variables
Variable Role Data Source(s) Operational Definition
Exposure to the 
Pfizer -
BioNTech Exposure Maternal report Maternal report of exposure to the Pfizer -
BioNTech COVID -19 vaccine of at least one dose 
any time from one month prior to the first day of 
LMP to end of pregnancy
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Page 22of 50Table 1. Exposure, Comparator, Exclusion, and Outcome Variables
Variable Role Data Source(s) Operational Definition
COVID -19 
vaccineVaccine record (e.g., 
COVID -19 vaccine 
or yellow card)
Medical record
Gestational 
timing of the 
Pfizer -
BioNTech 
COVID -19 
vaccine useExposure Maternal report
Vaccine record (e.g., 
COVID -19 vaccine 
or yellow card)
Medical recordDates of the Pfizer -BioNTech COVID -19 vaccine 
administration one month prior to the first day of 
LMP up to and including end of pregnancy
No vaccine 
exposure during 
pregnancyCom parator Maternal report
Medical recordMaternal report of no exposure to any vaccines at 
any time from one month prior to the first day of 
LMP to end of pregnancy
Exposure to 
non-study 
vaccines during 
the pregnancy 
window  up to 
study 
enrollmentExclusion 
criterionMaternal report
Vaccine record (e.g., 
COVID -19 vaccine 
or yellow card)
Medical recordMaternal report of exposure to any vaccine other 
than the Pfizer -BioNTech COVID -19 vaccine, 
influenza vaccine, or Tdap vaccine (e.g., Moderna 
or Johnson & Johnson COVID- 19 vaccines, 
human papill omavirus vaccine, hepatitis B 
vaccine, etc.)
Maternal 
pregnancy 
exposure to a 
known human 
teratogenExclusion 
criteri onMaternal report
Medical recordMaternal pregnancy exposure to a known human 
teratogen (e.g., Type I Diabetes)
Major 
congenital 
malformationPregnancy 
outcomeMaternal report
Medical record 
OTIS investigator 
reviewA major structural or chromosomal defect that has 
either cosmetic or functional significance to the 
child (e.g., a cleft lip). Classified using the CDC 
Metropolitan Atl anta Congenital Defects Program 
(MACDP) coding criteria ( CDC ,2017 )
According to the CDC MACDP guidelines, the 
following do not qualify as major congenital 
malformations:
oThose findings that are present in infants 
with outcomes at <36 weeks gestational 
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Page 23of 50Table 1. Exposure, Comparator, Exclusion, and Outcome Variables
Variable Role Data Source(s) Operational Definition
age or if gestational age is unavailable, 
weighing <2500 grams, and are attributed 
to prematurity alone, such as patent ductus 
arteriosus (PDA), patent foramen ovale 
(PFO), a nd inguinal hernias
oInfants with only transient or infectious 
conditions, or biochemical abnormalities, 
are classified as being without major 
congenital malformations unless there is a 
possibility that the condition reflects an 
unrecognized major congenita l 
malformation
Spontaneous 
abortionPregnancy 
outcomeMaternal report
Medical recordNon-deliberate embryonic or fetal death that 
occurs prior to 20 weeks’ gestation (CDC, 2021 b)
Stillbirth Pregnancy 
outcomeMaternal report
Medical recordA non-deliberate fetal death that occurs at or after 
20 w eeks’ gestation but prior to delivery (Prager S 
et al., 2021 ) 
Preterm 
deliveryPregnancy 
outcomeMaternal report
Medical record A spontaneous or induced delivery at 
<37gestational weeks (as counted from the first 
day of LMP) (CDC, 2021 c)
Small for 
gestational ageInfant 
outcomeMaternal report
Medical recordBirth size (w eight, length, or head circumf erence) 
≤10thpercentile for sex and gestational age using 
NCHS pediatric growth curves for full term 
infants. Prenatal growth curves specific to preterm 
infants are used for preterm infants ( Olsen et al., 
2010 ;Schlaudecker EP et al ., 2017 )
Small for age 
postnatal 
grow th at one 
year of ageInfant 
outcomeMedical record Postnatal size (weight, length or head 
circumference) ≤10thpercentile for sex and age 
using NCHS pediatric grow th curves and adjusted 
postnatal age for preterm infants
Abbreviations: CDC, Centers for Disease Control and Prevention; 
LMP, last menstrual period; MACDP, Metropolitan Atlanta Congenital Defects Program; NCHS, National 
Center for Health Statistics 
9.3.3. Demographic and Clinical Characteristics
Potential confounders and other covariates to be collected include maternal age, 
race/ethnicity, socioeconomic status, pregnancy  and health history , lifest yle factors, 
comorbidities, medication, vaccine and vitamin/mineral expo sures, and prenatal tests. 
Table 2provides a description of corresponding variables to be included in this study . The 
SAP will provide greater detail on covariable definitions, such as a listing of known human 
teratogens.
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Page 24of 50Table 2.Demographic and Clinical Variables
Variable Role Data Source(s) Operational Definition
Age Confounder Maternal report Maternal age (years) at due date, continuous 
and categorical (<18, 18 -25, 25- 29, 30 -34, 
>34)
Race Confounder Maternal report Maternal/Paternal race (Caucasian/White, 
Black, Asian/Pacific Islander, Native 
American, Other)
Ethnicity Confounder Maternal report Maternal/Paternal ethnicity (H ispanic, Non -
Hispanic)
Education Confounder Maternal report Maternal Educational Category (years of 
completed education <12, 12 -15, >15)
Socioeconomic 
categoryConfounder Maternal report Hollingshead Socioeconomic Category based 
on maternal and paternal occupation and 
education (1 -5)(Hollingshead A, 1975)
Geographic area of 
residenceConfounder Maternal report Geographic area of residence (e.g., US, 
Canada)
Referral source Confounder Maternal report Source options: S ponsor, OTIS service, health 
care provider ( HCP ), Internet, Other, UC Rely
Gestational age at 
vaccination/study 
enrollmentConfounder Maternal report
Medical recordWeeks of pregnancy at time of enrollment, 
continuous and categorical ( ≤13,13.1-19.9, 
≥20): gestational age is calculated from the 
first date of LMP
Trim ester of 
vaccination/study 
enrollmentConfounder Maternal report
Medical record1st, 2nd, or 3rdtrimester categorization based on 
gestational age at vaccination/study 
enrollment
Height Confounder Maternal report Maternal height (cm)
Pre-pregnancy body 
weightConfounder Maternal report
Medical recordMaternal pre- pregnancy body weight (kg)
Pre-pregnancy body 
mass index ( BMI)Confounder Maternal report Maternal pre- pregnancy BMI (<18.5, 18.5 -
24.9, 25 -29.9, ≥30)
Number of prior 
pregnanciesConfounder Maternal report
Medical recordNumber of times ever pregnant (1, 2 -3, 4-5, 
≥6)
Number of previous 
live birth or stillbirth 
deliveriesConfounder Maternal report
Medical recordNumber of previous live birth or stillbirth 
deliveries (0, 1 -2, 3-4, ≥5)
Previous pregnancies 
with a major 
congenital 
malformation Confounder Maternal report ≥1previous pregnanc ywith a major structural 
or chromosomal defect diagnosed in utero or 
post-partum –Yes/No
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Page 25of 50Table 2.Demographic and Clinical Variables
Variable Role Data Source(s) Operational Definition
Type of major 
congenital 
malformation in 
previous pregnanciesConfounder Maternal report A major structural or chromosomal defect that 
has either cosmetic or functional significance 
to the child (e.g., a cleft li p)classified using 
CDC coding criteria
Number of previous 
pregnancies ending in 
spontaneous abortionConfounder Maternal report
Medical recordNumber of previous pregnancies ending in 
spontaneous abortion (0, 1, 2, ≥3)
Number of previous 
pregnancies ending in 
elective 
termination/abortionConfounder Maternal report
Medical recordNumber of previous pregnancies ending in 
elective termination/abortion (0, 1, 2, ≥3)
Previous pregnancies 
ending in preterm 
deliveryConfounder Maternal report ≥1previous pregnanc yending in preterm 
delivery – Yes/No
Previous pregnancies 
ending in fetal growth 
restrictionConfounder Maternal report ≥1 previous pregnancy ending in fetal growth 
restriction –Yes/No
Number of previous 
ectopic pregnanciesConfounder Maternal report
Medical recordNumber of previous pregnancies ending in 
ectopic pregnancy (0, 1, 2, ≥ 3); ectopic 
pregnancy is defined as a pregnancy in which 
the fetus develops outside the uterus, typically 
in a fallopian tube .
Family history of 
genetic disorders and 
major congenital 
malformationsConfounder Maternal report Any family history of amajor structural or 
chromosomal defect that has either cosmetic 
or functional significance to the child as 
defined using the CDC coding criteria –
Yes/No
Prenatal vitam in, 
multivitamin, or folic 
acid use in pregnancyConfounder Maternal report Prenatal, Multivitamin or Folic Acid 
supplement use by timing (began prior to 
conception, post -conception only, not taken at 
all)
Alcohol use in 
pregnancyConfounder Maternal report Yes/No; dose and frequency are captured
Tobacco use in 
pregnancyConfounder Maternal report Yes/No
Prenatal diagnostic 
tests prior to 
enrollmentConfounder Maternal report
Medical recordTests performed prior to enrollment 
(Ultrasound level 1, Ul trasound level 2, 
Chorionic Villus Sampling, Amniocentesis)
Prenatal diagnostic 
tests any time during 
pregnancyConfounder Maternal report
Medical recordTests performed any time in pregnancy 
(Ultrasound level 1, Ultrasound level 2, 
Chorionic Villus Sampling, Amniocentesis)
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Page 26of 50Table 2.Demographic and Clinical Variables
Variable Role Data Source(s) Operational Definition
Pregnancy 
complicationsConfounder Maternal report
Medical recordPregnancy induced hypertension
Preeclampsia
Gestational diabetes
Com orbid m aternal 
medical historyConfounder Maternal report
Medical recordCom orbid m aternal medical history (e.g., 
chronic hypertension, asthma) 
Current medication 
useConfounder Maternal report Prescription and over -the-counter medications 
are captured for the period of time from the 
first day of LMP through the end of 
pregna ncy. Dose, frequency, duration, and 
indication including stop and start dates are 
collected
Exposure to the 
influenza or Tdap 
vaccineConfounder Maternal report
Medical recordMaternal report of exposure to an influenza or 
Tdap vaccine any time from one month prior 
to the first day of LMP up to and including 
end of pregnancy
Pfizer -BioNTech 
COVID -19 vaccine 
doseCovariate Maternal report
Medical recordMaternal report of the specific doses (1st, 2nd, 
3rd, booster) of the Pfizer -BioNTech COVID -
19 vaccine any time from one month prior to 
the first day of LMP up to and including the 
end of pregnancy
COVID -19 vaccine 
prior to pregnancyConfounder Maternal report
Medical recordMaternal report of exposure to at least one 
dose of any COVID -19 vaccine any time prior 
to one month before the first day of LMP
COVID -19 infection 
symptoms and/or 
positive test during 
pregnancyConfounder Maternal report
Medical recordSymptom inventory from maternal interviews; 
test results from maternal report and medical 
record
COVID -19 infection 
positive test prior to 
pregnancyConfounder Maternal report
Medical recordTest results from maternal report and medical 
record
Abbreviations: BMI, body mass index; CDC, Centers for Disease Control and Prevention; 
cm, centimeters; kg, kilograms; HCP, health care provider; LMP, last menstrual period; OTIS, Organization 
of Teratology Information Specialists.
9.4.Data Source
The OTIS Pregnancy  Registry  was established in 1999 for addressing questions regarding 
drug and vaccine safet y in pregnancy  among other research objectives. It is conducted by  the 
OTIS Research Group, a network of university  and health department -based telephone 
information centers serving pregnant women and healthcare providers throughout the US and 
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Page 27of 50Canada ( Leen -Mitchell et al, 2000 ). These services receive over 70,000 spontaneous 
inquiries per year from women and healthcare providers abo ut the safet y or risk associated 
with environmental exposures in pregnancy , including medications and vaccines. Trained 
Teratogen Information Specialists at each site provide appropriate risk assessment and 
referral for all patient and healthcare provider callers free of charge.
These services also provide a basis for collaborative research. Pregnant women who call are 
recruited for the OTI S Pregnancy  Registry , and the healthcare providers are requested to 
contact the OTI S Pregnancy  Registry  to provide pati ent referrals. Active recruitment 
strategies are also used, e.g., direct mailings to healthcare providers, website, and 
professional meetings. Enrollment in the OTI S Pregnancy  Registry  is voluntary  and requires 
informed consent b y the pregnant woman. The O TIS Research Center is responsible for 
verify ing the participant selection criteria, enrolling each participant and securing informed 
consent, oral and written (when available or applicable), providing all pregnancy  
(intake/enrollment and interim I  and II) and post -partum follow -up interviews and medical 
record review, recording and storage of all data, and subsequent data anal ysis and 
interpretation.
As part of the OTI S Pregnancy  Registry  protocol, data are collected using maternal 
interview(s), medical record review (obstetric, delivery  hospital, pediatric, vaccine provider, 
and/or other specialty  provider if applicable), and the pregnancy  exposure diary  (see       
Table 3).
Table 3. Timing of Cohort Enrollment, Interviews, Examinat ions, and Medical 
Records
Any Time 
In 
Pregnancy20-22 
Weeks’ 
Gestationb32-34 
Weeks’ 
Gestationc0-6 
Weeks 
Post-
Delivery0-12 
Months 
Post-
Delivery1 Year 
Post-
Delivery
Referrala√
Enrollment and 
Consenta√
Enrollment Interviewa√
Interim Interview I √
Interim Interview II √
Pregnancy Outcome 
Interview and Request 
for Medical Records√
Medical Record 
Acquisition and Review√
Pediatric 1- Year 
Medical Records 
Request and Review √
a.Participants may enroll in the study any time during pregnancy.
b.If participant is enrolled and Intake Intervie w is conducted after 18 w eeks’ gestation, only one interim 
interview is conducted during pregnancy at 32 -34 w eeks gestation.
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Page 28of 50Table 3. Timing of Cohort Enrollment, Interviews, Examinat ions, and Medical 
Records
Any Time 
In 
Pregnancy20-22 
Weeks’ 
Gestationb32-34 
Weeks’ 
Gestationc0-6 
Weeks 
Post-
Delivery0-12 
Months 
Post-
Delivery1 Year 
Post-
Delivery
c.If participant is enrolled and Intake Intervie w is conducted at 30 w eeks’ gestation or after, no Interim 
Interview is collected.
Medication or vaccine exposures entered into the database are coded using the Slone Drug 
Dictionary . Major congenital malformations are coded using the MACDP coding list. Data 
are recorded on hard copies of forms and these records are retained b y OTIS at the OTI S 
Research Center. These forms are con sidered the primary  data sources for studies and can be 
adapted to add new data elements. Data from these forms are extracted and entered into a 
customized OTI S study  database located in the Research Center.
9.4.1. Modalities of Recruitment
All exposed and compar ison individuals will be recruited through spontaneous callers to 
participating OTIS member services in locations throughout North America and through 
active recruitment strategies, e.g., direct mailings to healthcare providers, website, and 
professional m eetings, in alignment with the OTI S Pregnancy  Registry  Protocol. Each OTI S 
service will provide exposure counseling in the routine manner for all exposed and 
unexposed women who initially  make contact with the service with questions regarding a 
current pre gnancy . Subsequently , each OTI S service will request permission to refer the 
participant to the Research Center at the University of California, San Diego. Potential 
participants who agree to be referred will contact the Research Center or be contacted if they 
prefer. W omen can self -refer via the OTIS Pregnancy  Registry  website, telephone, email, 
text, or chat. Healthcare providers can also contact the OTI S Pregnancy  Registry  and refer 
patients; however, in all cases the participant is the individual who pr ovides informed 
consent for participation and completes the interview- based data collection.
To reach a broad population and raise awareness about the study , OTIS Pregnancy  Registry  
studies use direct to consumer social media . OTIS also has partnerships wi th healthcare 
provider s ystems such as Kaiser Permanente, agencies such as CDC, and professional 
societies including the Society  for Maternal Fetal Medicine, the American Academ y of 
Pediatrics, and the American Academ y of Allergy  Asthma and Immunology. Par tners 
promote the OTIS Pregnancy  Registry  network and studies on their websites and through 
presentations and exhibits at professional meetings. These strategies haveresulted in cohort 
recruitment of a diverse sample including representation of women from each of the major 
race/ethnicity  groups as well as across the range of socioeconomic status.
Once the target sample size is met for th isPfizer -BioNTech COVID -19 vaccine study  (see 
Section 9.5Study  Size), recruitment efforts for the study  will cease, and study  enrollment 
will be closed. However, the OTI S Pregnancy  Registry will remain open for enrollment for 
its other ongoing studies unrelated to the Pfizer -BioNTech COVID- 19 vaccine study .
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Page 29of 50Retention of participants in the OTI S Pregnancy  Registry is supported b y frequent contact 
with the enrolled participant, building and maintaining a relationship between the study  
interviewer and the mother herself, and by  ensuring the multiple alternative contact 
numbers/addresses are obtained and updated. Retention rates in OTIS Pregnancy  Registry  
studies are typicall y extremely high at 95% or better.
9.4.2. Maternal Interviews
Below is a detailed descr iption of each interview as conducted under the OTI S Pregnancy  
Registry  protocol:
Intake/Enrollment Interview : A structured maternal intake telephone interview is 
conducted at enrollment by  a trained Research Associate from the OTI S Research 
Center. This interview includes questions on the following: pregnancy  history , 
including major congenital malformations, genetic disorders, number of live births, 
and multiple gestations; current health history ; pre-pregnancy  weight and height; 
socioeconomic and demogr aphic information including maternal and paternal 
occupation, education and ethnicity ; income category ;current medication use, both 
prescription and over the counter; other environmental or occupational exposures, 
alcohol, tobacco, caffeine and illicit dr ug use, vaccine exposure prior to and during 
pregnancy ; current pregnancy  complications including illnesses; famil y history of 
adverse pregnancy outcomes, including major congenital malformations and genetic 
disorders ; names and addresses of health care pr oviders; and vaccine use from one 
month prior to L MP and throughout pregnancy . To supplement future interviews and 
improve recall, participants are given a pregnancy exposure diary  to record any  
additional exposures (medications, vaccinations, vitamins, et c.) or events as the 
pregnancy  progresses. Each woman is also sent the informed consent document and 
the US Health Insurance Portability  and Accountability  Act (HIPAA) Authorization 
Addendum (when applicable) via electronic signature or paper, and a resear ch 
HIPAA compliant obstetric medical record release form.
Interim Interviews I and II : Telephone interviews are conducted at 20 -22 and 32 -34 
weeks’ gestation (if enrolled at those times) by  a trained Research Associate from the 
OTIS Research Center. Women who have enrolled prior to 18 weeks post -LMP will 
be interviewed b y telephone at 20 -22 weeks post -LMP, 32 -34 weeks post -LMP and 
within 2 to 6 weeks after the expected due date. Women who have enrolled between 
19 and 20 weeks post -LMP will be interviewed at 32 -34 weeks post -LMP (See 
Table 2Schedule of Follow -up). These interviews are intended to update records of 
pregnancy  exposures (medications, vaccinations, vitamins, etc.), results of prenatal 
tests, events of interest since last interview (including if the pregnancy  has ended 
prior to the expected due date), and contact info. 
Pregnancy Outcome Interview : A structured telephone interview are conducted b y a 
trained Research Associate from the OTIS Research Center at 0 to 6 weeks after the 
expected due date, or at an interim interview point or earliest convenient time for the 
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Page 30of 50participant if pregnancy  has ended. This interview elicits information based on type 
of birth:
oFor women with live born infants: date of delivery , hospital location and 
mode of delivery ; sex, birth weight, length and head circumference; Apgar 
scores; description of delivery  or birth complications including 
malformations; ty pe and leng th of hospital stay  for pregnant women and their 
infant s; delivering ph ysician’s and infant phy sician’s names and addresses; 
method of infant feeding; pregnancy  weight gain; and additional exposures 
and results of prenatal tests occurring since the previou s interview.
oFor women with spontaneous abortions: date and ty pe of outcome; hospital 
location if applicable; prenatal diagnosis; pathology  results if available; and 
additional exposures and results of prenatal tests occurring since the previous 
interview.
oFor women with stillborn infants: all of the above for women with 
spontaneous abortions, plus sex, delivery  or birth complications including 
malformations, birth size and autops y results if available.
9.4.3. Medical Records and General Pediatric Evaluation
Upon completion of the outcome interview, each woman is sent a packet electronicall y or by 
hard cop y mail containing research HI PAA compliant medical records release forms for the 
delivery  hospital, obstetrician, pediatrician, vaccine provider, and specialist i f applicable. For 
women whose pregnancies have ended in spontaneous abortion, elective 
termination/abortion, or stillbirth, records release forms are mailed for the specialist’s 
evaluation, if applicable, and if prenatal diagnosis, pathology  or autopsy  reports are available. 
Each eligible woman is asked to sign (electronically  or wet signature) the medical records 
release forms, as well as UCSD HI PAA Authorization Addendum (if they  or their infant 
receives medical care at UCSD/Rady  Children’s hospital) and to return them along with the 
pregnancy  exposure diary  form.
Upon receipt of the signed medical records release forms, a standard ph ysical evaluation 
form is mailed to each pediatrician or other ph ysician responsible for the care of each live 
born infant. This form includes information on infant size at the time of the latest 
examination and an open -ended question about postnatal complications and congenital 
anomalies.
At one y ear of age, another research HIPAA compliant medical records release form for the
pediatrician, or health care provider caring for the child, is sent to the mother of the infant for 
signature electronicall yor by hard cop y mail. The signed form with a standard phy sical 
evaluation form is sent to the health care provider to request upda ted information on growth, 
and major congenital malformations.
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Page 31of 50Medical records for pregnant women and their infants are also captured at birth and again for 
the infant at one year of age. Medical records are reviewed b y trained abstractors to 
supplement information self -reported b y the participant related to vaccine exposure, 
outcomes, prenatal tests, and medical history . 
9.4.4. Scientific Advisory Board
An existing external Scientific Advisory  Board under the Vaccines and Medication in 
Pregnancy  Surveillance Sy stem (VAMPSS) provides oversight for the study  and reviews 
study  summary  data on an annual basis. Members of the Board provide advice to the Registry  
investigators on interpretation of the data and provide advice on strategies for the 
dissemination of infor mation regarding the stud y.
The VAMPSS Scientific Advisory  Board is managed by  the American Academy  of Allergy  
Asthma and Immunology. The Scientific Advisory Board is comprised of membership 
representing specialization in maternal fetal medicine, biostatis tics, vaccine epidemiology , 
and representation from the Centers for Disease Control, National Institutes of Health/Child 
Health Institute, the American Academ y of Pediatrics, and a consumer representative. The 
Board is chaired b y a designated member, and e ach member has one vote. A dedicated 
charter describes roles and responsibilities of the Board members, and members complete 
conflict of interest disclosures on an annual basis.
9.5.Study Size
Recruitment goals are set at 1100 participants in the Pfizer -BioNTe ch COVID -19 vaccine 
expos urecohort and 900 participants in the comparator cohort, for a total of 2000 
participants enrolled in the study .The target sample size for the Pfizer -BioNTech COVID-
19 vaccine exposure cohort was increased from an initial sample size of 900 to 1100 to allow 
for increased capture of women receiving a booster dose during pregnancy.  The rationale for 
the target sampl e size of 1100 pregnant women in the exposed cohort and 900 pregnant 
women in the comparator cohort was based on several considerations for feasibility  of 
enrollment. These considerations included early trends in referrals of COVID -19 vaccinated 
pregnant w omen to the OTI S Pregnancy  Registry , inclusion of women exposed to a booster 
dose as well as a reasonable time period for recruitment of pregnant women and the 
necessary  time to collect outcome data to one y ear postpartum. An additional consideration 
was r easonable statistical power to detect differences for each outcome of interest . Balance in 
the cohort numbers b y trimester of exposure in the vaccine -exposed cohort and by  trimester 
of enrollment in both cohorts will be monitored on a monthly  basis, and ov erall balance 
addressed b y adjusting recruitment activities as needed. It is not possible to predict if the 
recruitment rates will be equal in all y ears, and therefore, sample size is based on estimates 
that may  require revision as the study  progresses.
Aswomen will be eligible to enroll at an y time in pregnancy, the gestational age at 
enrollment is expected to vary  from 2 weeks to 41 weeks. Based on the gestational week at 
enrollment, only  the portion of the overall sample enrolled prior to 20 weeks’ gest ation will 
be eligible for the anal ysis of spontaneous abortion. We estimate based on prior experience 
that half the overall sample will enroll prior to 20 weeks. Similarly , only the subset of the 
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Page 32of 50sample enrolled prior to 37 weeks’ gestation will be eligib le for the anal ysis of preterm birth. 
It is estimated that 95% of the overall sample will enroll before 37 weeks. For the outcome of 
major birth defects, the main subset eligible for this assessment will be restricted in the 
exposed cohort to women who rec eived at least one dose of the Pfizer -BioNTech COVID-19 
vaccine from one month prior to L MP to the end of the first trimester. Pregnant women who 
received the Pfizer -BioNTech COVID -19 vaccine only during the ir second or third trimester 
will be excluded fro m the anal ysis. Based on previous experience in OTIS studies, the 
estimated lost to follow -up rate is 5% ( Chambers et al, 2016 ).
Based on these assumptions, for the outcome of major birth defects, it is estimated that 85% 
will result in live birth after exclusion of pregnancy  losses (10%) in women enrolled in the 
first half of pregnancy , and lost- to-follow -up (5%). For spontaneous abortion, it is estimated 
that half of the overall sample will enroll prior to 20 weeks’ gestat ion. For preterm delivery , 
it is estimated that 80% of the overall sample will enroll prior to 37 weeks’ gestation and will 
end in a singleton live birth.  For the outcome of small for gestational age, it is estimated that 
85% of the overall sample will en d in a singleton live birth.
Baseline birth prevalence, incidence rates, and incidence proportions of major congenital 
malformations, preterm delivery , and small for gestational age, respectivel y, are based on 
previous OTIS Pregnancy  Registry  studies and o n general population data. Table 4 gives the 
power for various detectable relative risks (RRs) /hazard ratios (HRs) for two-sided alpha 
level of 0.05 in the comparisons of the exposed cohort to the comparator cohort for the range 
of background risks of the outcomes of interest.
Table 4.Sample Size and Power for a Specified Effect Size
Outcom e N in Exposed 
CohortN in Compar ator
CohortBirth Prevalence/
Incidence in 
Comparator
CohortDetectable 
Relative Risk /
Hazard RatioPower1
Major congenital 
malformations2311 765 3%32.1 65.8%
2.5 86.7%
2.7 92.6%
Spontaneous 
abortion550 450 10%41.5 66.6%
1.7 90.1%
1.8 95.6%
Preterm delivery 880 720 10%51.4 69.1%
1.5 85.6%
1.6 94.7%
Small for 
gestational age935 765 10%61.4 71.7%
1.5 87.6%
1.6 95.8%
Small for age 
postnatal growth 
at one year of age935 765 10%61.4 71.7%
1.5 87.6%
1.6 95.8%
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Page 33of 50Table 4.Sample Size and Power for a Specified Effect Size
Outcom e N in Exposed 
CohortN in Compar ator
CohortBirth Prevalence/
Incidence in 
Comparator
CohortDetectable 
Relative Risk /
Hazard RatioPower1
1.Arcsine transformation using pw r.2p.test() in R package ‘pwr’ to obtain effect size h, where ℎ=2∗
sin−2∗sin     and p1= event rate in the exposed cohort, p 2= event rate in the comparison 
cohort, assuming 2 sided alpha = 0.05.
2.Among livebirths.
3.CDC, 2017. 
4.Avalos et al., 2012.
5.Ferré et al., 2016.
6.CDC, 2017; Nellhaus, 1968; Olsen et al., 2010.
NOTES
i.Major Congenital Malformations
N in exposed cohort for Major congenital malformations based on assumptions that 366 exposed 
to at least one dose from 1 month prior to LMP through the first trimester, and of these 10% will 
be lost to spontaneous abortion or stillbirth, and 5% lost to follow -up; 85% of the 366 enrolled w ill 
thus yield 311 eligible for the analysis.
N in comparator cohort = 900 enrolled x 85% resulting in at least one live birth = 765.
ii.Spontaneous Abortion
N in exposed cohort for spontaneous abortion based on estimate that ½ will be exposed and enroll 
in the first 20 w eeks of gestation and thus be at risk of spontaneous abortion until 20 completed 
weeks; N of 1100 enrolled and exposed x 50% enrolled and exposed prior to 20 weeks = 550.
N in comparator cohort = 900 of which 50% will be enrolled prior to 20 w eeks = 450.
iii.Preterm Delivery
N in exposed cohort based on 95% of the 1100 enrolled and exposed to at least one dose prior to 
37 w eeks, 10% pregnancy loss, and 5% lost to follow -up for an overall estimated 80% eligible for 
the analysis; 1100 enrolled x 80% = 880.
N in comparator cohort based on same assumptions; 900 enrolled x 80% = 720.
iv.Small for Gestational Age
N in exposed cohort based on 1100 enrolled and exposed to at least one dose from 1 month prior 
to LMP up through the end of pregnancy, 10% pregnancy loss, and 5% lost -to-follow -up; 1100 x 
85% = 935.
N in comparator cohort based on same assumptions; 900 x 85% = 765.
v.Small for Age Postnatal Growth at One Year of Age
N in exposed cohort based on 1100 enrolled and exposed to at least one dose from 1 month prior 
to LMP up through the end of pregnancy; 10% pregnancy loss and 5% lost -to-follow -up; 1100 x 
85% = 935.
N in comparator cohort based on same assumptions; 900 x 85% = 765.
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Page 34of 509.6.Data Management 
As per the OT IS Pregnancy  Registry  protocol, data are collected using maternal interview, 
medical record, and the pregnancy  diary . Maternal interview data are recorded on hard copies 
of forms, and these forms will be retained by OTIS. These forms are considered the primary  
data sources for the registry . Medical records and medical record abstraction forms are hard 
copies or electronic copies and are retained on a secure server or in locked files . Data from 
maternal interview an d medical record abstraction forms are extracted and entered into a 
customized OTI S registry  database located in the Research Center and developed specificall y 
for the OTIS Pregnancy  Research Studies.
The database itself has built in range limits for key v ariables that prevent certain data entry  
errors. In addition, all data entry forms are reviewed for logical errors b y the registry  data 
manager on a bi -monthly basis, and 100% of key  variables are double -checked for data entry  
accuracy . The registry  statis tician also conducts reviews of the cumulative data in the 
database for distributions and values that are illogical. The registry  manager is responsible 
for working with the data manager and the supervisory staff to oversee the data validation 
procedures. 
Access to the database is controlled by  password, with different access privileges assigned to 
the managers, interviewers and data entry  staff, and administrative staff; these privileges are 
outlined in detail in the OTI S Data Management Guide, Data Entry Standard Operating 
Procedure (SOP), and supplements to these guides. An audit log is built into the database to 
archive all such entry  edits. 
Hard copies of participant files and participant signed consent forms are kept in locked 
cabinets in locked file rooms, or electronically  secured files, under the supervision of the 
study  investigators.
9.7.Data Analysis 
9.7.1. Statistical Methods
The distributions of demographic and baseline characteristics will be summarized within 
each exposure cohort. The following measur es will be calculated for the pregnancy  and 
infant outcomes: birth prevalence of major congenital malformations ; incidence rates of
spontaneous abortion, elective termination/abortion, stillbirth, and preterm delivery ;and 
incidence proportions of small fo r gestational age andsmall for age postnatal growth at one 
year of age . For each outcome, risk estimates will be described separatel y for the Pfizer -
BioNTech COVID -19 vaccine exposure cohort and each of the comparator cohorts. The 
outcomes will be compared between the Pfizer -BioNTech COVID -19 vaccine -exposed 
cohort and the comparator cohort. Where feasible, comparisons will also be made using 
methods to control potential confounding. Detailed methodology  for summary  and statistical 
analyses of data collected in this study  will be documented in the SAP, which will be dated, 
filed and maintained b y the sponsor. The SAP may  modify  the plans outlined in the protocol; 
any major modifications of endpoint definitions or their anal yses would be reflected in a 
protocol amendment.
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Page 35of 509.7.2. Primary Analyses
The eligible populations and time periods for analy ses may  differ by  pregnancy  outcome 
depending on a participant’s timing of vaccine exposure/study  enrollment as it relates to the 
at-risk period for an outcome, in addition to ty pe of birth ( Table 5). For example, the 
analyses for major congenital malformations will be restricted to women exposed to at least 
one dose of the Pfizer -BioNTech COVID- 19 vacci ne during their first trimester (or enrolled 
in the study  for COVID-19 unvaccinated comparator) whose pregnancies resulted in at least 
one live born infant. For preterm delivery , only  those women exposed to at least one dose of 
the Pfizer -BioNTech COVID-19 vaccine (or enrolled in the study  for unvaccinated 
comparator) prior to 37 weeks’ gestation and whose pregnancies resulted in a live- born 
singleton are eligible for the anal ysis. The denominators for each exposure/comparator cohort 
and outcome analy sis wi ll include participants as follows:
Table 5.Denominators for Outcomes by Exposure/Comparator Cohort
Outcome Pfizer -BioNTech COVID -19 
Vaccine -Exposed
(Exposure)COVID -19 Vaccine -
Unexposed
(Comparator)
Major congenital 
malformationsParticipants who received the 
Pfizer- BioNTech COVID -19 
vaccine (1st, 2nd, 3rd, or booster
dose) any time from one month 
before the first day of LMP 
through their first trimester and 
whose pregnancy resulted in >1 
live birthParticipants who did not receive 
any COVID -19 vaccines any  
time from one month before the 
first day  of LMP up to and 
including end of pregnancy  and 
whose pregnancy  resulted in >1 
live birth
Spontaneous abortion Participants who received the 
Pfizer- BioNTec h COVID -19 
vaccine (1st, 2nd, 3rd,or booster 
dose) any time from one month 
before the first day of LMP up to 
20 weeks’ gestation andwere
enrolled in the study prior to 20 
weeks’ gestationParticipants who did not receive 
any COVID -19 vaccines any  
time from one month before the 
first day  of LMP up to and 
including end of pregnancy and 
were enrolled in the study  prior 
to 20 weeks’ gestation
Elective 
termination/abortionParticipants who received the 
Pfizer- BioNTech COVID -19 
vaccine (1st, 2nd, 3rd, or boo ster 
dose) any time from one month 
before the first day of LMP up to 
and including end of pregnancyParticipants who did not receive 
any COVID -19 any time from 
one month before the first day  
of LMP up to and including end 
of pregnancy
Stillbirth Particip ants who received the 
Pfizer- BioNTech COVID -19 
vaccine (1st, 2nd, 3rd, or booster Participants who did n ot receive 
any COVID -19 vaccines any 
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Page 36of 50Table 5.Denominators for Outcomes by Exposure/Comparator Cohort
Outcome Pfizer -BioNTech COVID -19 
Vaccine -Exposed
(Exposure)COVID -19 Vaccine -
Unexposed
(Comparator)
dose) any time from one month 
before the first day of LMP up to 
and including end of pregnancy,
but must have follow -up at or after 
20 weeks’ gestationtime from one month before the 
first day  of LMP up to and 
including end of pregnancy ,but 
must have follow -up at or after 
20 weeks’ gestation
Preterm delivery Participants who received the 
Pfizer- BioNTech COVID -19 
vaccine (1st, 2nd, 3rd, or booster 
dose) any time from one month 
before the first day of LMP up to 
37 weeks’ gestation, were enrolled 
in the study prior to 37 weeks’ 
gestation, and whose pregnancy 
resulted in a live -born singletonParticipants who did not receive 
any COVID -19 vaccines any 
time from one month before the 
first day  of LMP up to and 
including end of pregnancy , 
were enrolled in the study  prior 
to 37 weeks’ gestation, and 
whose pregnancy  resulted in a 
live-born singleton
Small for gestational 
ageParticipants who received the 
Pfizer- BioNTech COVID -19 
vaccine (1st, 2nd, 3rd, or booster 
dose) any time from one month 
before the first day of LMP up to 
and including end of pregnancy 
andwhose preg nancy resulted in a 
live-born singletonParticipants who did not receive 
any COVID -19 vaccines any 
time from one month before the 
first day  of LMP up to and 
including end of pregnancy  and 
whose pregnancy  resulted in a 
live-born singleton
Small for age postnatal 
growth at one year of 
ageParticipants who received the 
Pfizer- BioNTech COVID -19 
vaccine (1st, 2nd, 3rd, or booster 
dose) any time from one month 
before the first day of LMP up to 
and including end of pregnancy 
and whose pregnancy resulted in a 
live-born singletonParticipants who did not receive 
any COVID -19 vaccines any 
time from one month before the 
first day  of LMP up to and 
including end of pregnancy  and 
whose pregnancy  resulted in a 
live-born singleton
For the endpoint of major congenital malformations, the birth prevalence among pregnancies 
resulting in at least one live born infant will be compared between the Pfizer -BioNTech 
COVID -19 vaccine expos ure cohort and the comparator cohort. A point estimate of the crude 
(i.e.unadjusted) risk r atio (RR) of the exposed cohort versus the comparison cohort, as well 
as its 95% confidence interval (CI), will be computed using normal approximation method. 
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Page 37of 50When the expected frequency  of an y of the cells of the contingency table is less than five, the 
CI will be obtained b y an exact method using the software StatXact.
Due to the observational nature of the stud y, the above crude estimate of RR will be adjusted 
for potential confounders (Rosenbaum, 2002 ),provided that there are sufficient number of 
events. A list of potential confounders will be provided in a separate table in the SAP for 
each outcome prior to the final anal ysis, based on scientific knowledge including literature 
review. In addition, all of the following three criteria will be applied in accordance with the 
definition of confounders (Greenland et al., 1999 ;Xu et al., 2018 ):1) by assessing each 
considered variable in a logistic regression mod el containing the exposure variable and the 
outcome variable to determine if inclusion of that single covariate changes the estimate of the 
odds ratio for exposure by  10% or more; 2) standardized mean differences greater than 0.1; 
3) association with the o utcome with p -value < 0.2 in the unexposed cohort. Care will be 
taken not to include those variables that are strongl y associated with the exposure variable 
but only weakly  associated with the outcome variable (Brookhart e t al., 2006 ).
The confounders identified above will be used to build the propensity  score for exposure 
(Rosenbaum, 2002 ).R package ‘twang’ or similar R package available at the time of anal ysis 
will be used for this purp ose, following which standardized mean differences will be used to 
check the balance of the covariates between the cohorts.
The primary  anal ysis will be performed with inverse probability  of treatment weighting 
(IPTW) using the propensity  score to estimate the causal risk ratio . In the IP TW approach, 
we will use stabilized weights that are further trimmed to be between 0.1 and 10 if necessary
(Austin and Stuart, 2015 ). The bootstrap variance estimator will be used following the IPT W 
approach.
Anadditional analysisof major congenital malformations will be conducted using outcome 
regression ,i.e., a logistic regression model will be fitted with major congenital malformation 
(Y) as the outcome, and exposure (A) and propensity  score ( L) as regressors. Outcomes 
regression tends to be more stable and efficient than I PTW especially  given the expected rare 
number of events (Xu et al., 2018), and has known robust properties against model 
misspecification (Vansteelandt and Daniel, 2014 ).Standardization will be performed to 
obtain the estimated causal risk ratio ( Hernán and Robins, 2019 ). The variance estimator will 
be obtained using bootstrap .
The analysis of spontaneous abortion and stillbirth is complicated by  left truncation in the 
data, i.e., women enter the study  at arbitrary  times in gestation (Xu et al., 2012 ). Only  those 
women who are enrolled prior to 20.0 weeks of gestation are eligible for the anal ysis of 
spontaneous abortion. Since they  are not followed from gestational age zero, survival 
analysis methods will be used to handle left truncation, as well as right -censoring when a 
participant is lost- to-follow -up prior to 20 weeks’ gestation. The Cox proportional hazards 
marginal structural model incorporating time-dependent vaccine exposure will be used for 
the causal hazard ratio (HR) of different cohorts, a s well as to obtain the 95% CI s. To 
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Page 38of 50account for potential confounding, propensity  score methods with the I PTW approach will be 
applied. Stillbirth will be anal yzed in a similar fashion. 
The anal ysis of preterm delivery can also be complicated by  left truncation in the data, i.e., 
women enter the stud y at arbitrary  times in gestation. Only  those women who are enrolled 
prior to 37.0 weeks of gestation are eligible for the anal ysis of preterm delivery . These data 
will be a nalyzed similarly  to spontaneous abortion, as described above, using survival 
analysis methods, to handle possible left truncation and right -censoring.
The anal ysis of elective termination/abortion will be descriptive as the number of events is 
expected to be low. 
The following are binary  endpoints: small for gestational age at birth in weight, length, and 
head circumference; and small for age postnatal growth at one year of age ≤10thcentile in 
weight, length, and head circumference. The anal ysis of the proportion of infants with each 
of these outcomes will be similar to the analy sis of the outcome major congenital 
malformations and will be restricted to pregnancies ending in a live born singleton. For these 
outcomes, exposure to the Pfizer -BioNTech COVID -19 vaccine in an y trimester will be 
compared to the unexposed cohort .
9.7.3. Secondary Analyses
9.7.3.1. Stratified/Subgroup Analyses
For the endpoint of major congenital malformations, the comparison will also be carried out 
within each of two strata, according to whether the participant had prenatal diagnostic 
testing, such as level 2 ultrasound, amniocentesis or chorionic villus sampling, prior to 
enrollment in the study  or not.
In stratified analy ses, the separate effects of vaccine exposure during the first, second, and 
third trimester of pregnancy  will be studied as applicable to the following pregnancy  
outcomes: preterm delivery , small for gestational age, and small for age postna tal growth at 
one y ear of age.
A variable for prior COVID -19infection will be used in the propensity  score generation for 
the adjusted anal yses, and, if numbers permit, a stratified analy sis for prior COVID -19
infection will be conducted as well .
9.7.3.2. Individu al Dose Effects
Secondary analyses will also address the potentially  different effects of the 1st, 2nd, 3rd,and 
booster dose sduring relevant pregnancy  windows (e.g., 1sttrimester exposure for the 
outcome of major congenital anomalies, and prior to 20 we eks’ gestation for the outcome of 
spontaneous abortion) . More specificall y these will be considered four separate exposures.  
An additive effects marginal structural model will be used for each pregnancy  outcome.
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Page 39of 509.7.3.3. Evaluation for a Pattern of Major Congenit al Malformations
The following steps will be taken to evaluate an y pattern of major congenital malformations:
A review of major congenital malformations will be made by  category . A review of specific 
major congenital malformations will be conducted taking into consideration timing and 
biological plausibility . In addition, specific defects that are plausibl y related to second or 
third trimester exposure will also be evaluated.
9.7.3.4. Lost to Follow -Up
Pregnancies enrolled in the cohort stud y for which outcome information is unobtainable 
within 1 y ear after the estimated date of delivery  are considered lost to follow -up. It is 
possible that outcomes among pregnancies lost to -follow -up could differ from t hose with 
documented outcomes. Because of differences in follow -up and reporting patterns, it is 
currentl y not possible to assess with an y certainty what impact with regard to potential biases 
the lost to follow -up may have on an y analysis of the cohort st udy. Should lost to follow -up 
numbers be substantial, however, efforts at comparing some of the characteristics of each 
cohort will be made in an attempt to address this potential source of bias. However, the OTIS 
Research Center prior experience has been that the lost to follow -up rate is extremely  low, 
typicall y 5%.
9.7.4. Sensitivity A nalyses
The following sensitivity anal yses will be performed for the outcome of major congenital 
malformations.
A sensitivity  anal ysis will be performed for the outcome of major c ongenital 
malformations among all pregnancies excluding those that are lost -to-follow -up. The 
analysis population will be those with exposure to the Pfizer -BioNTech COVID-19 
vaccine at an y time from one month prior to the first day of LMP to the end of the
first trimester excluding those that are lost -to-follow -up. The anal ysis population for 
the comparison cohort will be all pregnancies excluding those that are lost -to-follow -
up. The purpose of this analysis is to account for major congenital malformations that 
may occur in pregnancies that are terminated or spontaneously  lost and are therefore 
excluded from the primary anal ysis of major congenital malformations among live 
births.
A second sensitivity  analy sis will be performed for the outcome of major cong enital 
malformation s stratified on any  abnormal finding (y es/no) among those with prenatal 
testing prior to enrollment.
In a third sensitivity  analy sis, both the exposure and comparator cohorts will be 
restricted to women who enrolled in the study  during t heir first trimester.
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Page 40of 50A fourth sensitivity  analysis will be conducted to expand the comparator cohort to 
include women who received any dose of the Pfizer -BioNTech COVID -19 vaccine 
only in their second or third trimester .
Sub-analyses using graphical presentation based on gestational timing of exposure to 
the Pfizer -BioNTech COVID-19 vaccine will also be performed.
An additional sensitivity  anal ysis will be performed for the outcome of preterm delivery  
stratified on elective cesarian section or labor i nduction leading to delivery  prior to 37 weeks’ 
gestation vs. delivery  prior to 37 weeks’ gestation following spontaneous labor.
9.7.5. Missing Data
Multiple imputation (MI) will be conducted to handle the missing data. Missing values 
typicall y occur in less than 5% of the cases for any single covariate based on prior 
experience. They  are assumed to be missing at random. When there are missing values in an y 
of the selected confounders, multiple imputation (MI) will be conducted, using the R package 
MICE (multivari ate imputation by  chained equations). Demographic information, pregnancy  
history , information about current pregnancy , and concurrent diseases will be used as 
possible ‘predictors’ in MI CE. The generalized R2will be used as a measure of correlations 
betwe en each ‘target’ (i.e. ,the variable to be imputed) and a predictor. If the value of R (i.e., 
square root of R2) is over 0.1, the variable will be retained as a predictor. Predictors with 
strong collinearity  might be excluded (for example, one of race and ethnicity , and one of 
gravidity  and parit y). Although each outcome within each cohort comparison has its unique 
set of participants, MI is conducted for missing data using the entire dataset, i.e., on all 
cohorts combined. 
For the outcome of spontaneous abortion, for some cases the exact date of the event might be 
unknown, and instead a window for possible spontaneous abortion time is available. This is 
known as interval censored data, and can also be handled using M I. An ex act spontaneous 
abortion time will be imputed by  sampling uniformly  from the corresponding time window. 
The number of above imputations will be 10, i.e., 10 datasets with imputed data will be 
created. Each imputed data set gives a point estimate of the re gression coefficients as well as 
its standard deviation, which will be combined across the 10 datasets to obtain the final 
estimate of the causal RR /HR and their 95% CI’s. Further details will be provided in the 
SAP.
9.7.6. Analysis Software
All summaries and sta tistical anal yses will be performed using the current version of open -
source statistical programming language R and StatXact.
9.8.Quality Control
Data used in this study  are secondary  use of data collected as part of the existing OTIS 
Pregnancy  Registry  protoc ol, which includes established quality  control practices. Interview 
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Page 41of 50and examination data will be recorded on hard copies of forms, and medical records and 
medical record abstraction forms will be electronic or hard copies of forms. These records 
and forms will be retained at the Research Center. Data from these forms will be extracted 
and entered into a customized database located at the Research Center. The data will be 
extracted and entered b y trained study personnel with extensive experience with this ty pe of 
information. Entries will be periodicall y reviewed for logical errors, and a random subset of 
intake and outcome forms will be double -checked for data entry  accuracy . The method and 
duration of storage of data is addressed in the informed consent, th at each participant will 
agree to in order to receive medical record information. All records are maintained for a 
minimum of 15 years following stud y completion.
Access to the database will be controlled by  password. Hard copies of participant files and 
signed consent forms will be kept in a locked cabinet under the supervision of the study  
investigators. 
The data will be entered by  trained study  personnel with extensive experience with this ty pe 
of information. Data will be collected and entered into the database according to the SOPs for 
data collection and data entry  established for this study . 
The data manager will calculate monthly  error rates for each data entry  staff person and for 
the study  overall and will recommend and initiate training/retraini ng where quality  standards 
are not being met. The study  manager will oversee this process and verify  that training 
standards are achieved. 
For the stud y endpoint of major congenital malformations, verification of the outcome 
identified , and classification is performed on a monthly  basis is provided by  blinded review 
by co-investigator, Kenneth Ly ons Jones, MD.
9.9.Limitations of the Research Methods
This study  will use data from the well -established OTI S Pregnancy  Registry  which collects 
detailed data on prena tal/birth exposures (including timing of exposures during pregnancy ) 
and outcomes. The primary  limitation of this cohort study  utilizing volunteer participants is 
potential selection bias in that women who agree to enroll in the study  may  represent 
particularl y high -or low -risk pregnancies ( Johnson et al., 2001). For example, women who 
receive the vaccine and have a history  of spontaneous abortion (high baseline risk) may  be 
more likely  to preferentially  enroll than women who did not receive the vaccine and who did 
not have a history  of prior spontaneous abortion because of concerns about their pregnancy . 
In addition, the study  results will be strictly  generalizable to women fitting the profile of the 
sample of women who enro ll. The use of inverse probability  weighting to account for 
differences between the exposure and comparator cohorts will address these concerns to 
some extent. The data analy sis stratify ing on use of prenatal testing and on gestational timing 
of enrollment will also help control for confounding introduced by  potential selection bias.
Another limitation of the study  design relates to the evaluation of the incidence of 
spontaneous abortion. Incidence rates of early  spontaneous abortion, i.e., at 7 -9 weeks pos t-
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Page 42of 50LMP or less, will not be measured in a stud y that enrolls women after recognition of 
pregnancy . Therefore, spontaneous abortion will be defined as late first-trimester and earl y 
second -trimester pregnancy  loss. Analy sis of spontaneous abortion will be re stricted to those 
who enroll prior to 20 weeks’ gestation. In addition, if a high proportion of women enroll 
later in pregnancy , other survival biases may  be introduced. A sensitivity  analy sis by  
gestational age at enrollment will be performed in order to address these questions. Analy ses 
will be stratified by  gestational age at enrollment to help address the potential selection bias. 
As early prenatal testing is so prevalent in the US and Canada, it may be difficult to achieve 
adequate numbers of particip ants if all pregnancies with prenatal testing prior to enrollment 
are excluded from the analy sis. Therefore, the study  will include pregnant women enrolled 
prior to outcome but after a prenatal test has been performed as long as the test does not 
indicate the presence of a major congenital malformation. The FDA guidance document 
(FDA Postapproval Pregnancy  Safet y Studies Draft Guidance for Industry , 2019 ) 
acknowledges that such an approach may  be necessary  to accrue adequate numb ers. 
However, this practice could potentially  bias the results by  lowering the overall estimate of 
the birth prevalence of major congenital malformations ( Honein et al., 1999 ).
The calculation of frequency  of major congenital malformations excludes fetal losses 
(spontaneous abortions, elective terminations/abortions, or fetal deaths) for which no major 
congenital malformations have been detected as they  may  introduce a classification bias. I t is 
unknown what percentage of thes e pregnancies consists of potentially  normal outcomes or 
pregnancies with major congenital malformations. The study  attempts to obtain information 
on major congenital malformations detected at the time of the outcome. However, the 
malformation status of th e aborted fetus may not be known. For this reason, the primary  
comparison for the endpoint of the study  will be conducted among pregnancies ending in at 
least one live birth; a separate sensitivity  anal ysis of the endpoint will be conducted including 
all pregnancies with known outcome.
It is expected that exposure to the Pfizer -BioNTech COVID- 19 vaccine will occur in 
unintended pregnancies as more than half of all pregnancies in the US are unintended 
(Henshaw, 1998 ). Therefor e, the possibility  of confounding b y age, race, and other 
demographic variables will be considered. For example, the rate of unintended pregnancies is 
higher among low -income women/families than among the other socioeconomic cohorts. I t is 
possible that de mographic variables will be associated with vaccination as well ( MMWR, 
2021 ). As such, in reviewing annual reports, if clear differences in demographic factors (i.e., 
age, race/ethnicit y, socioeconomic status , education )are no ted, enhancement of recruitment 
efforts to increase diversity  will be taken into consideration .
Although all possible efforts will be made to retain participants in the registry  or follow up 
with their healthcare providers, some participants will be lost d uring follow up. I t could be 
possible that participants lost during follow up and with missing data on outcomes may  be 
different compared to those with complete follow up data. In previous OTIS studies, lost -to-
follow -up rates have been low, ty picall y <5% (Chambers et al., 2016 ).However, the 
characteristics of women lost to follow up will be compared to those who are retained in 
order to understand the direction and magnitude of the bias due to loss to follow up.
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Page 43of 50The study  design has relative strengths with respect to the control of a large number of 
potential confounders. Information will be collected repeatedl y throughout pregnancy on a 
variet y of factors which may be related to exposure and to pregnancy outcome, and the u se of 
a vaccine comparison cohort can aid in addressing confounding. Misclassification bias due to 
poor recall is thought to be reduced in prospective study  designs such as this, as each 
participant is interviewed at several predetermined intervals during pregnancy . Another 
strength of the study  design is the anticipated minimal lost- to-follow -up rate. Based on 
previous experience of the investigators in the OTIS Pregnancy  Studies and other similar 
studies, and the frequent participant contact, lost- to-follow-up is expected to be less than 5%, 
and therefore not expected to pose a threat to the validity  of study  results.
Finally , the sample size that is projected to be achievable for this study  has limitations in 
statistical power for the outcome of major con genital malformations. The investigators and 
the Scientific Advisory  Board’s expert review and comment on the data and the inclusion of 
evaluation of a pattern of major anomalies are strengths. 
9.10. Other Aspects
Not applicable.
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Page 44of 5010. PROTECTION OF HUMAN SUBJECTS
10.1. Patient Information
This study  involves data that exist in anony mized structured format and contain no patient 
personal information. If automated/algorithmic methods, such as natural language 
processing, will be used to convert unstructured data to structu red data during the 
implementation of the protocol, no patient personal data will be accessed.
10.2. Participant Consent
As this study  involves anony mized structured data, which according to applicable legal 
requirements do not contain data subject to privacy  laws, obtaining informed consent from 
patients by  Pfizer is not required.
10.3. Institutional Review Board (IRB)/Independent Ethics Committee (IEC)
There must be prospective approval of the study  protocol, protocol amendments, and other 
relevant documents (e.g., i nformed consent forms if applicable) from the relevant I RBs/IECs. 
All correspondence with the I RB/IEC must be retained. Copies of I RB/IEC approvals must 
be forwarded to Pfizer.
This protocol and informed consent documents are approved b y the Institutional Review 
Board (IRB) at the University  of California, San Diego. The chairperson or the recording 
secretary  of the IRB sign a form indicating approval. Notification of the Board’s approval of 
the study  is provided to the Sponsor prior to initiation of the st udy.
10.4. Ethical Conduct of the Study
The study  will be conducted in accordance with legal and regulatory  requirements, as well as 
with scientific purpose, value and rigor ,and follow generally  accepted research practices 
described in Guidelines for Good Pharm acoepidemiology  Practice ( ISPE, 2016 ), in 
accordance with the ethical principles of the Declaration of Helsinki (World Medical 
Association, 2013 )and HIPAA (Health Insurance Portability  and Accountab ility Act) 
(National Institutes of Health, 2002 ; Andrews et al., 1996 ).
11.MANAGEMENT AND REPORTING OF ADVERSE EVENTS/ADVERSE 
REACTIONS 
This study  involves data that exist as structured data by  the time of study  start. In this 
structured pregnancy  database, individual patient data are not retrieved or validated, and it is 
not possible to link (i.e., identify a potential association between) a particular product and 
medical event for an y individua l. Thus, the minimum criteria for reporting an adverse event 
(AE) (i.e., identifiable patient, identifiable reporter, a suspect product, and event) cannot be 
met.
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Page 45of 5012.PLANS FOR DISSEMINATING AND COMMUNICATING STUDY RESULTS
A final report describing the study endpoints will be prepared b y the OTIS Research Center 
and provided to the Pfizer team. Pfizer will communicate the results to FDA and other 
regulatory  authorities as appropriate .Conference abstracts and manuscripts based on specific 
endpoints of interest may be developed for publication purposes and will be reviewed b y 
Pfizer for comment. Thefinal report will be disclosed on the EU PAS Register.
In addition, the OTIS Research Center will develop annual interim reports and any  additional 
ad hoc reports w ith the advice of the VAMPSS Scientific Advisory  Board members. Each 
report will be a composite of the cumulative data to date and will supersede any  previous 
reports. Descriptive analyses may be presented, but no formal interim statistical anal ysis is 
planned. The rationale for this is that given sample size limitations, an interim analy sis will 
likely  be statisticall y underpowered to provide informative results. However, at each interim 
Scientific Advisory  Board review, consideration will be given to any  findings that might 
indicate that a formal interim anal ysis should be performed. The final anal ysis will be 
conducted when the cohort study  has been completed.
In the event of an y prohibition or restriction imposed (e.g., clinical hold) by an applicable 
competent authorit y in any area of the world, or if the party responsible for collecting data 
from the participant is aware of an y new information which might influence the evaluation of 
the benefits and risks of a Pfizer product, Pfizer should be informed i mmediately . 
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Page 46of 5013.REFERENCES
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Page 47of 5013. FDA (2019). Draft Postapproval Pregnancy  Safety Studies; Guidance for Industry . 
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34. Olsen IE, Groveman SA, L awson ML, Clark RH, and Zemel BS (2010) New 
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Nisar MI, Pool V, Spiegel HML , Tapie MD, Kochhar S, Black S and the Brighton 
Collaboration Small for Gestational Age Working Group (2017). Small for gestati onal 
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Page 49of 50age: case definition & guidelines for data collection, anal ysis, and presentation of 
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Coronavirus COVID -19 Global Cases. 2021. Available at: 
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423467b48e9ecf6 . Accessed 17 May  2021. 
39. Vansteelandt S and Daniel RM (2014). On regression adjustment for the propensity 
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41. Xu R, L uo Y, Chambers CD (2012). Assessing the effect of vaccine on spontaneous 
abort ion using time -dependent covariates Cox models. Pharmacopeidemiol Drug 
Saf;21:844-850.
42. Xu R, Hou J, Chambers CD (2018) .The impact of confounder selection in propensity  
scores when applied to prospective cohort studies in pregnancy . Reprod Toxicol;78:75 -
80.
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Page 50of 5014.LIST OF TABLES
Table 1. Exposure, Comparator, Exclusion, and Outcome Variables .................... 21
Table 2. Demographic and Clinical Variables ................................ ........................ 24
Table 3. Timing of Cohort Enrollment, I nterviews, Examinations, and 
Medical Records ................................ ................................ ....................... 27
Table 4. Sample Size and P ower for a Specified Effect Size ................................ .32
Table 5. Denominators for Outcomes by  Exposure/Comparator Cohort ............... 35
15.LIST OF FIGURES
Not applicable
ANNEX 1. LIST OF STAND ALONE DOCUMENTS
None
ANNEX 2. ADDITIONAL INFORMATION
Not applicable
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