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Limited data are available for pregnant women affected by SARS-CoV-2. Serological tests are critically important for determining SARS-CoV-2 exposures within both individuals and populations. We validated a SARS-CoV-2 spike receptor binding domain serological test using 834 pre-pandemic samples and 31 samples from COVID-19 recovered donors. We then completed SARS-CoV-2 serological testing of 1,293 parturient women at two centers in Philadelphia from April 4 to June 3, 2020. We found 80/1,293 (6.2%) of parturient women possessed IgG and/or IgM SARS-CoV-2-specific antibodies. We found race/ethnicity differences in seroprevalence rates, with higher rates in Black/non-Hispanic and Hispanic/Latino women. Of the 72 seropositive women who also received nasopharyngeal polymerase chain reaction testing during pregnancy, 46 (64%) were positive. Continued serologic surveillance among pregnant women may inform perinatal clinical practices and can potentially be used to estimate exposure to SARS-CoV-2 within the community.
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CORONAVIRUS
SARS-CoV-2 seroprevalence among parturient women
in Philadelphia
Dustin D. Flannery1,2,3*, Sigrid Gouma4*, Miren B. Dhudasia1,3, Sagori Mukhopadhyay1,2,3,
Madeline R. Pfeifer1, Emily C. Woodford1, Jeffrey S. Gerber2,3,5, Claudia P. Arevalo4,
Marcus J. Bolton4, Madison E. Weirick4, Eileen C. Goodwin4, Elizabeth M. Anderson4,
Allison R. Greenplate6,7, Justin Kim6,7, Nicholas Han6,7, Ajinkya Pattekar6,8, Jeanette Dougherty6,7,
Oliva Kuthuru6,7, Divij Mathew6,7, Amy E. Baxter6,7, Laura A. Vella5,6, JoEllen Weaver9,
Anurag Verma10, Rita Leite11, Jeffrey S. Morris12, Daniel J. Rader9,10, Michal A. Elovitz6,11,
E. John Wherry6,7, Karen M. Puopolo1,2,3†, Scott E. Hensley4,6†
Limited data are available for pregnant women affected by severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2). Serological tests are critically important for determining SARS-CoV-2 exposures within both individuals
and populations. We validated a SARS-CoV-2 spike receptor binding domain serological test using 834 pre-
pandemic samples and 31 samples from COVID-19–recovered donors. We then completed SARS-CoV-2 serolog-
ical testing of 1293 parturient women at two centers in Philadelphia from 4 April to 3 June 2020. We found 80 of
1293 (6.2%) of parturient women had immunoglobulin G (IgG) and/or IgM SARS-CoV-2–specific antibodies. We
found race/ethnicity differences in seroprevalence rates, with higher rates in Black/non-Hispanic and Hispanic/
Latino women. Of the 72 seropositive women who also received nasopharyngeal polymerase chain reaction testing
during pregnancy, 46 (64%) were positive. Continued serologic surveillance among pregnant women may inform
perinatal clinical practices and can potentially be used to estimate exposure to SARS-CoV-2 within the community.
INTRODUCTION
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
can cause serious disease in adult populations, particularly in those
with underlying health conditions (1). Serological tests are important
for determining SARS-CoV-2 viral exposures within individuals and
populations (2). However, many commercial tests have high false-
positive rates and therefore cannot be used to accurately estimate
seroprevalence in populations with relatively low levels of exposures
(3,4). Serological tests are especially important for vulnerable popula-
tions such as pregnant women, because immune status has implica-
tions for management of both the pregnant woman and the newborn.
Admission to the hospital for delivery is one of the few instances in
which otherwise healthy individuals are consistently interacting
with the medical system and therefore provides an opportunity for
surveillance of SARS-CoV-2 serology in the community.
We performed a study of pregnant women presenting for delivery
from 4 April to 3 June 2020 at two academic birth hospitals in
Philadelphia, Pennsylvania. Both hospitals are active clinical and
research centers affiliated with the University of Pennsylvania
and, when combined, represent 50% of live births in Philadelphia
(5). Discarded maternal sera from delivery admission were collected,
de-identified, and tested by enzyme-linked immunosorbent assay
(ELISA) for SARS-CoV-2 immunoglobulin G (IgG) and IgM anti-
bodies to the spike receptor binding domain (RBD) antigen.
RESULTS
Demographics
Demographics and clinical characteristics of the women are shown
in Table1. Most serum specimens were derived from women living
in areas within or immediately bordering the city of Philadelphia
(Fig.1). Pregnant women who were symptomatic or exposed to
SARS-CoV-2 underwent SARS-CoV-2 nasopharyngeal nucleic acid
polymerase chain reaction (PCR) testing from 4 to 12 April 2020;
universal PCR testing was recommended for all pregnant women
presenting for delivery starting 13 April 2020. Of 1514 women who
delivered during the study period, 1293 (85%) had available dis-
carded serum specimens and were included in the analysis.
Assay validation
Our serological assay used a SARS-CoV-2 spike RBD antigen and
modified ELISA protocol first described by Amanat etal. (6). We
validated this serological assay by testing serum samples collected
before the pandemic in 2019 from 834 individuals in the Penn Medicin e
BioBank (PMBB) and 31 individuals who recovered from confirmed
coronavirus disease 19 (COVID-19) infections in 2020 (Fig.2,AandB).
All 31 serum samples from COVID-19–recovered donors con-
tained high, but variable, levels of SARS-CoV-2 IgG (Fig.2A), and
1Division of Neonatology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA.
2Department of Pediatrics, University of Pennsylvania Perelman School of Medicine,
Philadelphia, PA, USA. 3Center for Pediatric Clinical Effectiveness, Children’s Hospital
of Philadelphia, Philadelphia, PA, USA. 4Department of Microbiology, University of
Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. 5Division of
Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA, USA. 6In-
stitute for Immunology, University of Pennsylvania Perelman School of Medicine,
Philadelphia, PA, USA. 7Department of Systems Pharmacology and Translational
Therapeutics, University of Pennsylvania, Philadelphia, PA. 8Division of Gastro-
enterology, Department of Medicine, University of Pennsylvania Perelman School
of Medicine, Philadelphia, PA, USA. 9Institute for Translational Medicine and Thera-
peutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA,
USA. 10Departments of Genetics and Medicine, Perelman School of Medicine,
University of Pennsylvania, Philadelphia, PA, USA. 11Maternal and Child Health
Research Center, Department of Obstetrics and Gynecology, University of Pennsylvania
Perelman School of Medicine, Philadelphia, PA, USA. 12Department of Biostatistics
Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
*These authors contributed equally to this work.
†Corresponding author. Email: hensley@pennmedicine.upenn.edu (S.E.H.); karen.
puopolo@pennmedicine.upenn.edu (K.M.P.)
Copyright © 2020
The Authors, some
rights reserved;
exclusive licensee
American Association
for the Advancement
of Science. No claim
to original U.S.
Government Works
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22 of 31 samples contained detectable levels of SARS-CoV-2 IgM
(Fig. 2B). Conversely, only 5 of 834 samples collected before the
pandemic contained SARS-CoV-2 IgG, and only 4 of 834 samples
contained SARS-CoV-2 IgM; none contained both IgG and IgM. On
the basis of these data, the estimated sensitivity of the test is 100%
[95% confidence interval (CI), 89.1 to 100.0%], and the specificity is
98.9% (95% CI, 98.0 to 99.5%). Using this test, we have found that
there is heterogeneity in antibody responses among hospitalized
COVID-19 patients and that some actively infected patients are se-
ronegative (7,8). Consistent with our initial validation experiments,
only 1 of 140 samples collected from pregnant women before the
pandemic (from 2009 to 2012) had IgG or IgM SARS-CoV-2 anti-
bodies (Fig.2,CandD).
Serological findings
We found that 80 of 1293 (seropositivity rate of 6.2%; 95% CI, 4.9 to
8.0%) pregnant women presenting for delivery from 4 April
to 3 June 2020 had IgG and/or IgM SARS-CoV-2 antibodies
(P=0.003 comparing samples from pre-pandemic and pandemic
pregnant women; Fig.2, CandD). We identified 55 women with
both SARS-CoV-2 IgG and IgM, 21 women with only SARS-CoV-2
IgG, and 4 women with only SARS-CoV-2 IgM (table S1). SARS-
CoV-2 antibody levels in samples from these women were variable
(Fig.2,CandD), similar to what we found in samples from individuals
recovering from confirmed SARS-CoV-2 infections (Fig.2,AandB).
The seroprevalence rate was not statistically different comparing
women living within the city limits of Philadelphia [62 of 986
(6.3%); 95% CI, 4.9 to 8.0%] with those living in surrounding areas
in Pennsylvania [12 of 191 (6.3%); 95% CI, 3.3 to 10.7%], or surround-
ing areas in New Jersey [5 of 107 (4.7%); 95% CI, 1.5 to 10.6%].
Table 1. Demographics and clinical characteristics of the study cohort. IQR, interquartile range; BMI, body mass index.
Characteristics Total (n = 1293) Seropositive* (n = 80) Seronegative (n = 1213) P value
Age (in years), median (IQR) 31 (27, 35) 28 (24, 32) 31 (27, 35) <0.001
Race/ethnicity, n (%)
Black/non-Hispanic 537 52 (9.7) 485 (90.3) <0.001
White/non-Hispanic 447 9 (2.0) 438 (98.0) <0.001
Hispanic/Latino 125 13 (10.4) 112 (89.6) 0.04
Asian 106 1 (0.9) 105 (99.1) 0.01
Other/unknown§78 5 (6.4) 73 (93.6) 0.93
Pre-pregnancy BMI||, n (%)
Overweight (25.0 to <30.0) 345 28 (8.1) 317 (91.9) 0.07
Obese (≥30.0) 337 27 (8.0) 310 (92.0) 0.09
Diabetes, n (%)113 10 (8.9) 103 (91.1) 0.22
Hypertension, n (%)404 33 (8.2) 371 (91.8) 0.05
Asthma, n (%)194 13 (6.7) 181 (93.3) 0.75
Cesarean delivery, n (%)400 30 (7.5) 370 (92.5) 0.19
Preterm delivery at
gestational age <37 weeks,
n (%)128 11 (8.6) 117 (91.4) 0.23
Live-born infant, n (%)1282 79 (6.2) 1203 (93.8) 0.51
*Seropositivity was based on either IgG or IgM level of >0.48 arbitrary units. †Difference in maternal age was tested using Mann-Whitney U test, differences
in proportion of all other characteristics were tested using 2 tests or Fisher’s exact test as appropriate. For race/ethnicity and pre-pregnancy BMI, difference was
tested at each level of the characteristic (e.g., proportion of Black women who were seropositive compared with proportion of non-Black women who were
seropositive). ‡Row percentages are shown, which represent the percent of total in each characteristic (e.g., 9.7% of Black/Non-Hispanic women were
seropositive). §Race/ethnicity was unknown for two seropositive and 26 seronegative women; race was abstracted from documentation at the time of
admission and in clinical practice and is usually self-reported. ||Pre-pregnancy BMI was missing for 2 seropositive and 12 seronegative women; pre-
pregnancy BMI was abstracted from documentation in the medical record or from patient’s self-reported entry in birth registration. ¶Diagnoses were based
on delivery admission ICD-10 diagnosis codes for diabetes (O24, E08-E13, and Z79.4), hypertension (O10, O11, O13-O16, I10-I13, and I15), and asthma (J45).
Fig. 1. Geographical distribution of women tested for SARS-CoV-2 antibodies.
Most serum specimens analyzed were from women living in areas within or imme-
diately bordering the city of Philadelphia. Location of birth hospitals where serum
samples were collected are shown as red crosses.
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There were no significant differences in seroprevalence rates in
women with or without comorbidities, preterm delivery, or cesarean
mode of delivery (Table 1). In contrast, we observed significant
race/ethnicity differences in seroprevalence rates, with higher rates
in Black/non-Hispanic (9.7%; 95% CI, 7.3 to 12.5%) and Hispanic/
Latino (10.4%; 95% CI, 5.7 to 17.1%) women and lower rates in
White/non-Hispanic (2.0%; 95% CI, 0.9 to 3.8%) and Asian (0.9%;
95% CI, 0.0 to 5.1%) women (Table1).
Nasopharyngeal swabs from 1109 (85.8%) women were tested
by SARS-CoV-2 PCR during the pregnancy or at the time of delivery.
Most of the sera tested for antibody were obtained before or within
6 days of PCR testing (Table2). SARS-CoV-2 antibodies were de-
tected in all sera obtained from PCR-positive women when serum
samples were obtained more than 7 days after PCR testing (Table2).
Overall, we found that 46 of 72 seropositive women who were tested
by PCR had a SARS-CoV-2–positive PCR result, whereas only 18 of
1037 seronegative women who were tested by PCR had a SARS-
CoV-2–positive PCR result. While all serum samples were collected
during the delivery admission, nasopharyngeal samples were col-
lected at variable times either during the delivery admission or ear-
lier in the pregnancy, and therefore, further study will be required
to evaluate the temporal relationship between SARS-CoV-2 sero-
positivity and PCR positivity in pregnant women.
DISCUSSION
Large-scale serology testing is critical for estimating how many
individuals have been infected during the COVID-19 pandemic.
Because of widely imposed social distancing requirements, and to
decreases in on-site, discretionary medical care, it is currently diffi-
cult to collect serum for population-wide serological testing. The vast
majority of pregnant women, however, continue to have multiple
interactions with the medical system for prenatal care and for delivery
during this pandemic and therefore present an opportunity to con-
sistently assess SARS-CoV-2 exposures within a community. Our
data suggest that 6.2% of parturient women in Philadelphia from
4 April to 3 June 2020 were previously exposed to SARS-CoV-2.
As of 3 June 2020, there were 23,160 confirmed cases of
COVID-19in the city of Philadelphia (9), which has a population
size of nearly 1.6 million people. This suggests an infection rate of
about 1.4%, which is more than four times lower than the estimates
based on our serological data. Serologic studies may provide a more
accurate means of assessing population exposure to SARS-CoV-2
by identifying asymptomatic or minimally symptomatic and symp-
tomatic infections. Further studies are needed to determine how the
immune status of pregnant women compares with that of the gen-
eral population. For example, parturient women may not represent
individuals of different ages within the general population, and
women and men might mount different antibody responses upon
infection with SARS-CoV-2 (10). Furthermore, most pregnant
women cannot fully shelter-in-place during a pandemic, as they
continue to have interactions with the medical system. Our finding
that Black/non-Hispanic and Hispanic/Latino women have higher
SARS-CoV-2 seroprevalence rates relative to women of other races
suggests that there are race/ethnicity differences in SARS-CoV-2
exposures in Philadelphia and surrounding areas. Identification of
factors that contribute to such differences in exposure to SARS-
CoV-2, including factors rooted in systemic racism, may inform public
health measures aimed at preventing further infections (1113).
Prior perinatal COVID-19 studies have primarily focused on vi-
rus detection (i.e., nucleic acid testing) in pregnant women, and most
of these studies have not evaluated antibody responses (1422).
Two published studies to date have assessed SARS-COV-2 serology
in pregnant women with active disease. A study of six parturient
women in Wuhan, China with confirmed COVID-19 found that all
six women had elevated levels of SARS-CoV-2 IgG and IgM (23). A
case report from Peru detailed a symptomatic pregnant woman with
positive PCR testing and negative serology at presentation, who devel-
oped severe respiratory failure necessitating delivery; her IgM and
IgG turned positive 4 days after delivery (9 days after symptom onset)
(24). Beyond describing individual response to infection, SARS-
CoV-2 serological testing among pregnant women will be increasingly
important for perinatal disease risk management and for optimizing
vaccine strategies when vaccines become available. Additional studies
will be needed to address the impact of maternal infection on neo-
natal immune responses and to determine those factors that may
contribute to observed disparities in exposure to SARS-CoV-2.
MATERIALS AND METHODS
Study design
The goal of this study was to estimate SARS-CoV-2 seroprevalence
rates in the community using discarded serum samples from partu-
rient women. The Institutional Review Board at the University of
Pennsylvania approved this study. There was a waiver of consent for
testing of residual serum samples from parturient women, as indi-
cated below. For other cohorts used to validate our assay, subjects
were consented before samples were obtained. De-identified data
were used for analysis.
AB
CD
Pregnant women
Pre-pandemicCOVID-19
+
(n = 834)(n = 31)
Pre-pandemic COVID-19+
(n = 834) (n = 31)
Pre-pandemic Pandemic
(n = 140) (n = 1293)
Pregnant women
Pre-pandemic Pandemic
(n = 140)(n = 1293
)
IgG levels
(arbitrary units)
SARS-CoV-2 IgGSARS-CoV-2 IgM
SARS-CoV-2 IgGSARS-CoV-2 IgM
IgM levels
(arbitrary units)
IgG levels
(arbitrary units)
IgM levels
(arbitrary units)
0.5
1
2
4
8
16
32
64
128
0.5
1
2
4
8
16
32
64
128
0.5
1
2
4
8
16
32
64
0.5
1
2
4
8
16
32
64
Fig. 2. Serum SARS-CoV-2 antibody levels in COVID-19 pandemic and pre-pandem ic
individuals. (A and B) Relative levels of SARS-CoV-2 IgG (A) and IgM (B) in serum
collected before the COVID-19 pandemic (n = 834) and serum collected from
COVID-19 recovered donors (n = 31). (C and D) Relative levels of SARS-CoV-2 IgG
(C) and IgM (D) in serum collected from pregnant women from 2009 to 2012
(n = 140) and from 4 April to 3 June 2020 (n = 1293). Dashed lines indicate
0.48 arbitrary units, which was used to distinguish positive versus negative
samples (see Materials and Methods). Serum samples that were below the cutoff
for seropositivity were assigned an antibody level of 0.40 arbitrary units.
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Serum samples from parturient women
Pregnant women at the two hospitals (Pennsylvania Hospital and
Hospital of the University of Pennsylvania) have blood drawn for
rapid plasma reagin (screening for syphilis per public health guide-
lines) testing as part of routine clinical care on admission to the
hospital for delivery. Residual serum from this testing was obtained
from the clinical laboratory at the time it was otherwise to be dis-
carded. Demographic and clinical data were collected from review
of electronic medical records to assess for differences in sero-
prevalence based on these factors. Race and ethnicity were self-
reported. International Classification of Diseases, 10th revision
(ICD-10) diagnosis codes O24, E08-E13, and Z79.4 were used to
capture type 1 diabetes, type 2 diabetes, and gestational diabetes; codes
O10, O11, O13-O16, I10-I13, and I15 were used to capture hyper-
tensive disorders, gestational hypertension, and pre-eclampsia; and
code J45 was used to capture any history of asthma before or during
pregnancy. To ensure that these codes correctly captured patient
condition, we manually reviewed records for the first 130 (10%)
women with ICD-10 diagnosis of diabetes, hypertension, or asthma
and reviewed a random sampling of 65 records from the first 130
(5% of total) women without any identified ICD-10 codes for these
conditions. Patient numbers in table S1 were assigned at random.
The Institutional Review Board at the University of Pennsylvania
approved this study with waiver of consent.
Serum samples from individuals recovered from COVID-19
Samples from subjects who had recovered from laboratory-confirmed
SARS-CoV-2 infections were obtained at the University of Pennsylva nia .
Subjects were consented, and samples were obtained after laboratory-
confirmed COVID-19 diagnosis and>14 days since resolution of
symptoms. The Institutional Review Board at the University of
Pennsylvania approved this study.
Pre-pandemic human serum samples
To validate our serological assay, serum samples from 834 adults
(19 to 89 years old; 52% females) were collected via the PMBB
between October and December 2019, before the COVID-19 pan-
demic. PMBB routinely consents individuals visiting the University
of Pennsylvania health care system and obtains and stores biospecime ns.
Banked serum samples obtained from pregnant women from 2009
to 2012 were also used as pre-pandemic controls. For these banked
samples, maternal serum was collected during the third trimester of
pregnancy as part of an Institutional Review Board–approved study.
From this study, 140 samples were randomly selected from women
who delivered at term (average gestational age at time of sample
collection was 33.8 weeks, 80% were Black women).
Enzyme-linked immunosorbent assay
ELISAs were completed using plates coated with the RBD of the
SARS-CoV-2 spike protein using a previously described protocol with
slight modifications (6,25). Plasmids for expressing this protein were
provided by F. Krammer (Mt. Sinai). SARS-CoV-2 RBD proteins were
produced in 293F cells and purified using nickel–nitrilotriacetic
acid (Ni-NTA) resin (Qiagen). The supernatant was incubated for 2
hours with Ni-NTA resin at room temperature before the Ni-NTA
resin was collected using gravity flow columns, and the protein was
eluted. After buffer exchange into phosphate-buffered saline (PBS),
the purified protein was stored in aliquots at −80°C. ELISA plates
(Immulon 4 HBX, Thermo Fisher Scientific) were coated overnight
at 4°C with PBS (50 l per well) or a recombinant protein (2 g/ml)
diluted in PBS. The next day, ELISA plates were washed three times
with PBS containing 0.1% Tween 20 (PBS-T) and blocked for 1 hour
with PBS-T supplemented with 3% nonfat milk powder. Before
testing in ELISA, serum samples were heat-inactivated at 56°C for
1 hour. Serum samples were serially diluted in twofold in 96-well
round-bottom plates in PBS-T supplemented with 1% nonfat milk
powder (dilution buffer), starting at a 1:50 dilution. Next, ELISA plates
were washed three times with PBS-T, and 50l of serum dilution
was added to each well. Plates were incubated for 2 hours at room
temperature using a plate mixer. Plates were washed again three
times with PBS-T before 50l of horseradish peroxidase (HRP)
labeled goat anti-human IgG (1:5000; Jackson ImmunoResearch
Laboratories) or goat anti-human IgM-HRP (1:1000; SouthernBiotech)
secondary antibodies were added. After 1-hour incubation at room
temperature using a plate mixer, plates were washed three times with
PBS-T, and 50l of SureBlue 3,3′,5,5′-tetramethylbenzidine substrate
(KPL) was added to each well. Five minutes later, 25 l of 250 mM
hydrochloric acid was added to each well to stop the reaction. Plates
were read at an optical density (OD) of 450nm using the SpectraMax
190 microplate reader (Molecular Devices). Background OD values
from the plates coated with PBS were subtracted from the OD values
from plates coated with recombinant protein. A dilution series of
the IgG monoclonal antibody CR3022, which is reactive to the
SARS-CoV-2 spike protein, was included on each plate as a control
to adjust for interassay variability. The IgG CR3022 monoclonal anti-
body was included on both IgG and IgM plates, and an anti-human
Table 2. Timing of serology testing and seropositivity with respect to nasopharyngeal PCR testing. The table includes 1109 women tested for serology
who were also tested by nasopharyngeal PCR anytime during pregnancy up to discharge from delivery admission. NP, nasopharyngeal.
Serology timing NP-PCR positive NP-PCR negative
Tested Seropositive (%) Tested Seropositive (%)
Before NP-PCR test 17 10 (58.8) 364 9 (2.5)
0–6 days after NP-PCR test 26 15 (57.7) 647 16 (2.5)
7–13 days after NP-PCR test 5 5 (100.0) 8 0
14–20 days after NP-PCR test 2 2 (100.0) 7 0
≥21 days after NP-PCR test 14 14 (100.0) 19 1 (5.3)
Total 64 46 (71.9) 1045 26 (2.5)
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IgG-HRP secondary antibody was added to these standardization
wells on both IgG and IgM plates. In essence, the CR3022 monoclonal
antibody was used to set the OD threshold on each plate and to en-
sure that the same OD threshold was used on all plates, including
both IgG and IgM assays. Serum antibody concentrations were re-
ported as arbitrary units relative to the CR3022 monoclonal antibody.
Plasmids to express the CR3022 monoclonal antibody were provided
by I. Wilson (Scripps). All samples were first tested in duplicate at a
1:50 serum dilution. Samples with an IgG and/or IgM concentration
above the lower limit of detection (0.20 arbitrary units) were repeated
in at least a seven-point dilution series to obtain quantitative results.
Establishment of an ELISA cutoff to distinguish seropositive
versus seronegative
We used results from the 2019 cohort (Fig.2A) to set ELISA cutoffs
for seropositivity and seronegativity. Over the course of establish-
ing our serological assay, we identified rare individuals who had
pre-pandemic SARS-CoV-2 cross-reactive serum antibodies. Most
of these individuals had very low levels of cross-reactive SARS-
CoV-2 antibodies. We found that ~1% of samples from the pre-
pandemic 2019 cohort had IgG and/or IgM levels of >0.48 arbitrary
units, which was subsequently used as the cutoff for defining sero-
positivity in the 2020 cohort.
Statistical methods
Standard descriptive analyses using 2 test, Fisher’s exact test, and
Mann-Whitney U test as appropriate, compared the demographic
and clinical characteristics between the seropositive and seronegative
women. CIs for proportions were computed using the Clopper-
Pearson (exact) method. Statistical significance was set at P < 0.05.
Statistical analyses were performed using Stata version 16 (StataCorp,
College Station, TX) and Prism version 8 (GraphPad Software).
Figure1 was created using QGIS version 3.12.3.
SUPPLEMENTARY MATERIALS
immunology.sciencemag.org/cgi/content/full/5/49/eabd5709/DC1
Table S1. Relative levels of SARS-COV-2 IgG and IgM in serum collected from seropositive
pregnant women (n = 80).
View/request a protocol for this paper from Bio-protocol.
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Acknowledgments: We thank all members of the Wherry Lab and the Penn COVID-19 Sample
Processing Unit for sample procurement, processing, and logistics. We thank the staff of the
PMBB. We thank F. Krammer (Mt. Sinai) for sending us the SARS-CoV-2 spike RBD expression
plasmids. We thank S. Melly (Drexel University) for the assistance in geographic analyses.
Funding: This work was supported by institutional funds from the University of Pennsylvania
and NIH grants AI082630 (to E.J.W.) and UL1TR001878 (to D.J.R.). We thank J. Lurie, J. Embiid,
J. Harris, and D. Blitzer for philanthropic support. E.J.W. is supported by the Parker Institute for
Cancer Immunotherapy, which supports the cancer immunology program at University of
Pennsylvania. Author contributions: D.D.F. conceptualized and designed the study, collected
the data, drafted the initial manuscript, and revised the manuscript. S.G. led the serological
experiments, collected the data, and revised the manuscript. M.B.D. designed the data
collection instruments, collected the data, carried out the analyses, and revised the
manuscript. S.M. conceptualized and designed the study, designed the data collection
instruments, carried out the analyses, and revised the manuscript. M.R.P. and E.C.W. collected
data and revised the manuscript. J.S.G. conceptualized and designed the study and revised the
manuscript. C.P.A., M.J.B., M.E.W., E.C.G., and E.M.A. completed serological assays, analyzed the
data, and revised the manuscript. A.R.G., J.K., N.H., A.P., and J.D. obtained and proceeded
samples from recovered donors. O.K. and L.A.V. designed and established recovered donor
cohort. D.M. processed and characterized samples from recovered donors. A.E.B. oversaw
acquisition, processing, and characterization of samples from recovered donors. J.W.
supervised the recruitment of participants in PMBB and identification of samples for serology
testing. A.V. analyzed demographic data of PMBB participants. R.L. provided samples for the
pre-pandemic pregnant controls. J.S.M. provided statistical advice, performed statistical
analyses, and revised the paper. D.J.R. provided input on the use of PMBB controls and revised
the manuscript. M.A.E. provided input and samples for the pre-pandemic pregnant controls
and revised the manuscript. E.J.W. designed, established, and oversaw healthy donor cohort
studies and made revisions to the manuscript. K.M.P. conceptualized and designed the study,
coordinated and supervised data collection, and revised the manuscript. S.E.H. conceptualized
and designed the study, coordinated and supervised serological studies, and revised the
manuscript. Competing interests: S.E.H. has received consultancy fee from Sanofi Pasteur,
Lumen, Novavax, and Merck for work unrelated to this report. E.J.W. is a member of the Parker
Institute for Cancer Immunotherapy. E.J.W. has consulting agreements with and/or is on the
scientific advisory board for Merck, Roche, Pieris, Elstar, and Surface Oncology. E.J.W. is a
founder of Surface Oncology and Arsenal Biosciences. E.J.W. has a patent licensing agreement
on the PD-1 pathway with Roche/Genentech. All other authors declare that they have no
competing interests. Data and materials availability: All data needed to evaluate the
conclusions in the paper are present in the paper or the Supplementary Materials.
Submitted 29 June 2020
Accepted 24 July 2020
Published 29 July 2020
Final published 24 August 2020
10.1126/sciimmunol.abd5709
Citation: D. D. Flannery, S. Gouma, M. B. Dhudasia, S. Mukhopadhyay, M. R. Pfeifer, E. C. Woodford,
J. S. Gerber, C. P. Arevalo, M. J. Bolton, M. E. Weirick, E. C. Goodwin, E. M. Anderson, A. R. Greenplate,
J. Kim, N. Han, A. Pattekar, J. Dougherty, O. Kuthuru, D. Mathew, A. E. Baxter, L. A. Vella,
J. Weaver, A. Verma, R. Leite, J. S. Morris, D. J. Rader, M. A. Elovitz, E. J. Wherry, K. M. Puopolo,
S. E. Hensley, SARS-CoV-2 seroprevalence among parturient women in Philadelphia. Sci. Immunol.
5, eabd5709 (2020).
by guest on August 24, 2020http://immunology.sciencemag.org/Downloaded from
SARS-CoV-2 seroprevalence among parturient women in Philadelphia
Wherry, Karen M. Puopolo and Scott E. Hensley
Laura A. Vella, JoEllen Weaver, Anurag Verma, Rita Leite, Jeffrey S. Morris, Daniel J. Rader, Michal A. Elovitz, E. John
Greenplate, Justin Kim, Nicholas Han, Ajinkya Pattekar, Jeanette Dougherty, Oliva Kuthuru, Divij Mathew, Amy E. Baxter,
S. Gerber, Claudia P. Arevalo, Marcus J. Bolton, Madison E. Weirick, Eileen C. Goodwin, Elizabeth M. Anderson, Allison R.
Dustin D. Flannery, Sigrid Gouma, Miren B. Dhudasia, Sagori Mukhopadhyay, Madeline R. Pfeifer, Emily C. Woodford, Jeffrey
DOI: 10.1126/sciimmunol.abd5709
First published 29 July 2020
, eabd5709.5Sci. Immunol.
as compared with Asian and White/non-Hispanic women.
racial differences in exposure rates, with higher rates of seropositivity in Black/non-Hispanic and Hispanic/Latino women
to SARS-CoV-2 and found that 6.2% of these women had evidence of exposure to the virus. They found considerable
between 4 April and 3 June 2020. Using IgG and IgM antibody tests, they evaluated exposure of 1293 parturient women
measured the exposure rate of SARS-CoV-2 in parturient women in Philadelphia who came to the hospital to deliver
et al.near their delivery dates, continued to have regular interactions with their medical care providers. Flannery
appointments, making it difficult to perform community-level seroprevalence studies. Pregnant women, particularly those
When the SARS-CoV-2 pandemic started, stay-at-home orders led to postponement of routine medical
Monitoring SARS-CoV-2 exposure
ARTICLE TOOLS http://immunology.sciencemag.org/content/5/49/eabd5709
MATERIALS
SUPPLEMENTARY http://immunology.sciencemag.org/content/suppl/2020/07/27/5.49.eabd5709.DC1
REFERENCES http://immunology.sciencemag.org/content/5/49/eabd5709#BIBL
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... to over 20% (e.g., Spain) during the first wave of the pandemic. 23,[25][26][27][28][29][30] Eskil et al. noted a gradual rise from 0.5% to 5.7% in pregnant women until the end of 2020. 27 Here, the seroprevalence was bigger in the HUS region most likely due to the highest population density which is consistent with national PCR-confirmed case numbers from whole population. ...
... It is also possible that during pregnancy people tend to be more careful and avoid exposures, leading to slightly lower seroprevalence. Compared with other studies on pregnant women and community studies, seroprevalences are in the lower part of the spectrum,23,[25][26][27][28][29][30] which is expected considering that diagnosed case numbers in Finland were also relatively low compared with several other countries (Figure 2C,D).As a limitation, two-tier methods may have resulted in underestimation of the seroprevalence. However, relying solely on EIM-S1 would have resulted in severe overestimation considering that several positive results were detected even before any cases were reported in Finland. ...
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We studied the development of the severe acute respiratory syndrome‐related coronavirus (SARS‐CoV‐2) pandemic in southern Finland in 2020 and evaluated the performance of two surrogate immunoassays for the detection of neutralizing antibodies (NAbs). The data set consisted of 12 000 retrospectively collected samples from pregnant women in their first trimester throughout 2020. All the samples were initially screened for immunoglobulin G (IgG) with SARS‐CoV‐2 spike antibody assay (EIM‐S1, Euroimmun) followed by confirmation with nucleocapsid antibody assay (Architect SARS‐CoV‐2, Abbott). Samples that were reactive (positive or borderline) with both assays were subjected to testing with commercial surrogate immunoassays of NeutraLISA (EIM) and cPass TM (GenScript Biotech Corporation) by using pseudoneutralization assay (PNAbA) as a golden standard. No seropositive cases were detected between January and March. Between April and December, IgG (EIM‐S1 and Abbott positive) and NAb (PNAbA positive) seroprevalences were between 0.4% and 1.4%. NeutraLISA showed 90% and cPass 55% concordant results with PNAbA among PNAbA negative samples and 49% and 92% among PNAbA positive samples giving NeutraLISA better specificity but lower sensitivity than cPass. To conclude, seroprevalence in pregnant women reflected that of the general population but the variability of the performance of serological protocols needs to be taken into account in inter‐study comparison.
... Significant variations exist in the incidence and severity of COVID-19 in pregnant and laboring women during the pre-vaccine period, even within the Scandinavian countries [1][2][3]. These disparities could potentially be attributed to variations in recommendations, rules and regulations related to SARS-CoV-2 testing, availability of tests and isolation, and timing of pregnancy leave. ...
... French studies have reported seroprevalence rates in pregnant women of 4.7% [15] and 8% [16] and Flannery et al. found a seroprevalence of 6.2% in pregnant women at delivery in Philadelphia [3]. ...
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Background: In a country with a high-test frequency, societal lockdown, and pregnancy leave granted from 28 gestational weeks, we investigated SARS-CoV-2 infection in women admitted in labor and their newborn in the pre-vaccine period. Material and methods: A total of 1042 women admitted for delivery in two Danish hospitals agreed to a plasma sample and nasopharyngeal, vaginal, and rectal swabs and to sampling of umbilical cord blood and a nasopharyngeal swab from their newborn at delivery. Plasma samples from women were examined for SARS-CoV-2 antibodies. If antibodies were detected, or the woman had a positive nasopharyngeal swab upon admission or had a household contact with symptoms consistent with COVID-19, SARS-CoV-2 PCR was performed on plasma and swab samples from mother and child. Results: Seventeen women (1.6%) were seropositive. Half the newborn (n = 9 (53%)) of seropositive mothers were also seropositive. None of the seropositive women or newborns had clinical signs of COVID-19 and all had SARS-CoV-2 PCR negative plasma and swab samples. Conclusion: Adherence to specific national guidelines pertaining to testing, self-imposed isolation, and cautious behaviors among pregnant women likely contributed to the exceptionally low prevalence of both prior and current COVID-19 infections detected at the time of childbirth preceding the routine vaccination of pregnant women in Denmark.
... Maternal characteristics included age; race and ethnicity (self-reported on hospital admission); receipt of any prenatal care (defined as attendance at least one prenatal visit); presence of any hypertensive disorder during pregnancy (chronic or gestational hypertension, preeclampsia, or eclampsia, as defined by International Classification of Disease [ICD]−9/10 codes) [26]; presence of any diabetes during pregnancy (type 1, type 2, or gestational diabetes, as defined by ICD-9/10 codes) [26]; maternal group B Streptococcus colonization status at delivery; documented obstetric diagnosis of IAI at delivery (e.g., clinical chorioamnionitis); maternal medication administration (e.g. antenatal corticosteroids, intrapartum magnesium sulfate, antibiotics); and mode of delivery. ...
... Maternal characteristics included age; race and ethnicity (self-reported on hospital admission); receipt of any prenatal care (defined as attendance at least one prenatal visit); presence of any hypertensive disorder during pregnancy (chronic or gestational hypertension, preeclampsia, or eclampsia, as defined by International Classification of Disease [ICD]−9/10 codes) [26]; presence of any diabetes during pregnancy (type 1, type 2, or gestational diabetes, as defined by ICD-9/10 codes) [26]; maternal group B Streptococcus colonization status at delivery; documented obstetric diagnosis of IAI at delivery (e.g., clinical chorioamnionitis); maternal medication administration (e.g. antenatal corticosteroids, intrapartum magnesium sulfate, antibiotics); and mode of delivery. ...
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Objective To determine delivery risk phenotype-specific incidence of early-onset sepsis (EOS) among preterm infants. Study design Retrospective cohort study of infants born <35 weeks’ gestation at four perinatal centers during 2017–2021. Infants were classified into one of six delivery risk phenotypes incorporating delivery mode, presence of labor, and duration of rupture of membranes (ROM). The primary outcome was EOS incidence within the overall cohort and each risk phenotype. Results Among 2937 preterm infants, 21 had EOS (0.7%, or 7.1 cases/1000 preterm infants). The majority of EOS cases (13/21, 62%) occurred in the setting of prolonged ROM ≥ 18 h, with a phenotype incidence of 23.8 cases/1000 preterm infants. There were no EOS cases among infants born by cesarean section without ROM (with or without labor), nor via cesarean section with ROM < 18 h without labor. Conclusion Delivery risk phenotyping may inform EOS risk stratification in preterm infants.
... Only a few studies have evaluated the seroprevalence of SARS-CoV-2 infection at different stages of pregnancy during the 2020 outbreak of COVID-19 in Spain. The reported prevalence of positive serological tests in pregnant women in our country varied from 15% in the first trimester [12], to 20% in the third trimester and delivery [12][13][14][15], although the geographical location and time within the pandemic were different from our study and therefore, difficult to compare. The first explanation for the higher seroconversion rate in the third trimester found in our cohort may be due to maternal immunological changes that increase predisposition to infection along the second and third trimesters of pregnancy [5,16,17]. ...
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Pregnant women are especially vulnerable to respiratory diseases. We aimed to study seroconversion rate during pregnancy in a cohort of consecutive pregnancies tested in the first and third trimesters and to compare maternal and obstetric complications between women who seroconverted in the first versus the third trimester. This is an observational, cohort study carried out at Hospital Universitario de Torrejón, in Madrid, Spain, during the first peak of the COVID-19 pandemic. All consecutive singleton pregnancies with a viable fetus attending their 11-13 weeks scan between January 1st and May 15th, 2020, were included and monthly follow up until delivery. Antibodies against SARS-CoV-2 (IgA and IgG) were analyzed on stored serum samples obtained from the first and third trimester routine antenatal bloods in 470 pregnant women. Antibodies against SARS-CoV-2 were detected in 31 (6.6%) women in the first trimester and in 66 (14.0%) in the third trimester, including 48 (10.2%) that were negative in the first trimester (seroconversion during pregnancy). Although the rate of infection was significantly higher in the third versus the first trimester (p = 0.003), no significant differences in maternal or obstetric complications were observed in women testing positive in the first versus the third trimester.
... Despite the growing number of published articles, only a few studies have evaluated the seroprevalence of SARS-CoV2 infection at different stages of pregnancy during the 2020 outbreak of COVID-19 in Spain. The reported prevalence of positive serological tests in pregnant women in our country varied from 15% in the first trimester [13], to 20% in the third trimester and delivery [13][14][15][16]. There is a smaller-scale study, carried out at three hospitals in New York, involving 149 women who were assessed for anti-SARS-CoV2 IgG antibodies during the first and second trimesters, as well as at the moment of delivery [17]. ...
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Pregnant women are especially vulnerable to respiratory diseases. We aimed to study seroconversion rates during pregnancy in a cohort of consecutive pregnancies tested in the first and third trimesters and to compare the maternal and obstetric complications in the women who seroconverted in the first trimester and those who did so in the third. This was an observational cohort study carried out at the Hospital Universitario de Torrejón, in Madrid, Spain, during the first peak of the COVID-19 pandemic. All consecutive singleton pregnancies with a viable fetus attending their 11–13-week scan between 1 January and 15 May 2020 were included and seropositive women for SARS-CoV2 were monthly follow up until delivery. Antibodies against SARS-CoV-2 (IgA and IgG) were analyzed on stored serum samples obtained from first- and third-trimester routine antenatal bloods in 470 pregnant women. Antibodies against SARS-CoV-2 were detected in 31 (6.6%) women in the first trimester and in 66 (14.0%) in the third trimester, including 48 (10.2%) that were negative in the first trimester (seroconversion during pregnancy). Although the rate of infection was significantly higher in the third versus the first trimester (p = 0.003), no significant differences in maternal or obstetric complications were observed in women testing positive in the first versus the third trimester.
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Patients with B-cell lymphomas have altered cellular components of vaccine responses due to malignancy and therapy, and the optimal timing of vaccination relative to therapy remains unknown. SARS-CoV-2 vaccines created an opportunity for new insights in vaccine timing because patients were challenged with a novel antigen across multiple phases of treatment. We studied serologic mRNA vaccine response in retrospective and prospective cohorts with lymphoma and CLL, paired with clinical and research immune parameters. Reduced serologic response was observed more frequently during active therapies, but non-response was also common within observation and post-treatment groups. Total IgA and IgM correlated with successful vaccine response. In individuals treated with CART-19, non-response was associated with reduced B and T follicular helper cells. Predictors of vaccine response varied by disease and therapeutic group, and therefore further studies of immune health during and after cancer therapies are needed to allow individualized vaccine timing.
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Background Pregnant patients were a significant population to consider during the pandemic, given the impact of SARS-CoV-2 infection on obstetric outcomes. While COVID testing was a central pillar of infection control, it became apparent that a subset of the population declined to test. At the same time, data emerged about pregnant persons also declining to test. Yet, it was unknown why pregnant patients declined tests and if those reasons were similar or different from those of the general population. We conducted this study to explore pregnant patients' attitudes, access, and utilization of COVID-19 testing to support healthcare for infection prevention management for this unique and medically complex population. Methods We conducted a qualitative study of patients who were currently or recently pregnant during the early stages of the pandemic and received outpatient prenatal care at one of the participating study sites. An interview guide was used to conduct in-depth telephone interviews. Coding was performed using NVivo, and analysis was conducted using Grounded Theory. Results The average age of the participants (N = 37) was 32 (SD 4.21) years. Most were < 35 years of age (57%) and self-described as White (68%). Qualitative analysis identified themes related to barriers to COVID-19 testing access and use during pregnancy, including concerns about test accuracy, exposure to COVID-19 in testing facilities, isolation and separation during labor and delivery, and diminished healthcare quality and patient experience. Conclusions The implementation of widespread and universal COVID testing policies did not address the unique needs and challenges of pregnant patients as a medically complex population. It is important to understand the reasons and implications for pregnant patients who declined COVID testing during the current pandemic to inform strategies to prevent infection spread in future public health emergencies.
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