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1.
Influenza Other Respir Viruses ; 17(9): e13192, 2023 09.
Article in English | MEDLINE | ID: mdl-37744991

ABSTRACT

We examined associations between mild or asymptomatic prenatal SARS-CoV-2 infection and preterm live birth in a prospective cohort study. During August 2020-October 2021, pregnant persons were followed with systematic surveillance for RT-PCR or serologically confirmed SARS-CoV-2 infection until pregnancy end. The association between prenatal SARS-CoV-2 infection and preterm birth was assessed using Cox proportional-hazards regression. Among 954 pregnant persons with a live birth, 185 (19%) had prenatal SARS-CoV-2 infection and 123 (13%) had preterm birth. The adjusted hazard ratio for the association between SARS-CoV-2 infection and preterm birth was 1.28 (95% confidence interval 0.82-1.99, p = 0.28), although results did not reach statistical significance.


Subject(s)
COVID-19 , Premature Birth , Infant, Newborn , Female , Pregnancy , Humans , COVID-19/epidemiology , Live Birth , Premature Birth/epidemiology , Prospective Studies , SARS-CoV-2 , Vitamins
2.
Open Forum Infect Dis ; 10(5): ofad204, 2023 May.
Article in English | MEDLINE | ID: mdl-37187508

ABSTRACT

Background: Early coronavirus disease 2019 (COVID-19) vaccine trials excluded pregnant women, resulting in limited data about immunogenicity and maternal-fetal antibody transfer, particularly by gestational timing of vaccination. Methods: In this multicenter observational immunogenicity study, pregnant and nonpregnant women receiving COVID-19 vaccines were prospectively enrolled. Participants had sera collected before vaccination, at 14-28 days after each vaccine dose, at delivery (umbilical cord and peripheral), and from their infants at 3 and 6 months. Geometric mean titers (GMTs) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ID50 neutralizing antibody (nAb) against D614G-like viruses were compared by participant characteristics. Results: Overall, 23 nonpregnant and 85 pregnant participants (trimester of first vaccine dose: 10 first, 47 second, 28 third) were enrolled. Ninety-three percent (76/82 with blood samples) of pregnant participants had detectable SARS-CoV-2 nAb after 2 vaccine doses, but GMTs (95% confidence intervals) were lower in pregnant participants than nonpregnant participants (1722 [1136-2612] vs 4419 [2012-9703]; P = .04). By 3 and 6 months, 28% and 74% of infants, respectively, of vaccinated participants had no detectable nAb to D614G-like viruses. Among the 71 pregnant participants without detectable nAb before vaccination, cord blood GMTs at delivery were 5-fold higher among participants vaccinated during the third versus first trimester, and cord blood nAb titers appeared inversely correlated with weeks since first vaccine dose (R2 = 0.06, P = .06). Conclusions: Though most pregnant women develop nAb after 2 doses of mRNA COVID-19 vaccines, this analysis suggests that infant protection from maternal vaccination varies by gestational timing of vaccination and wanes. Additional prevention strategies such as caregiver vaccination may warrant consideration to optimize infant protection.

3.
JAMA Netw Open ; 6(4): e237396, 2023 04 03.
Article in English | MEDLINE | ID: mdl-37036706

ABSTRACT

Importance: Associations between prenatal SARS-CoV-2 exposure and neurodevelopmental outcomes have substantial public health relevance. A previous study found no association between prenatal SARS-CoV-2 infection and parent-reported infant neurodevelopmental outcomes, but standardized observational assessments are needed to confirm this finding. Objective: To assess whether mild or asymptomatic maternal SARS-CoV-2 infection vs no infection during pregnancy is associated with infant neurodevelopmental differences at ages 5 to 11 months. Design, Setting, and Participants: This cohort study included infants of mothers from a single-site prospective cross-sectional study (COVID-19 Mother Baby Outcomes [COMBO] Initiative) of mother-infant dyads and a multisite prospective cohort study (Epidemiology of Severe Acute Respiratory Syndrome Coronavirus 2 in Pregnancy and Infancy [ESPI]) of pregnant individuals. A subset of ESPI participants was subsequently enrolled in the ESPI COMBO substudy. Participants in the ongoing COMBO study were enrolled beginning on May 26, 2020; participants in the ESPI study were enrolled from May 7 to November 3, 2021; and participants in the ESPI COMBO substudy were enrolled from August 2020 to March 2021. For the current analysis, infant neurodevelopment was assessed between March 2021 and June 2022. A total of 407 infants born to 403 mothers were enrolled (204 from Columbia University Irving Medical Center in New York, New York; 167 from the University of Utah in Salt Lake City; and 36 from the University of Alabama in Birmingham). Mothers of unexposed infants were approached for participation based on similar infant gestational age at birth, date of birth, sex, and mode of delivery to exposed infants. Exposures: Maternal symptomatic or asymptomatic SARS-CoV-2 infection. Main Outcomes and Measures: Infant neurodevelopment was assessed using the Developmental Assessment of Young Children, second edition (DAYC-2), adapted for telehealth assessment. The primary outcome was age-adjusted standard scores on 5 DAYC-2 subdomains: cognitive, gross motor, fine motor, expressive language, and receptive language. Results: Among 403 mothers, the mean (SD) maternal age at delivery was 32.1 (5.4) years; most mothers were of White race (240 [59.6%]) and non-Hispanic ethnicity (253 [62.8%]). Among 407 infants, 367 (90.2%) were born full term and 212 (52.1%) were male. Overall, 258 infants (63.4%) had no documented prenatal exposure to SARS-CoV-2 infection, 112 (27.5%) had confirmed prenatal exposure, and 37 (9.1%) had exposure before pregnancy or at an indeterminate time. In adjusted models, maternal SARS-CoV-2 infection during pregnancy was not associated with differences in cognitive (ß = 0.31; 95% CI, -2.97 to 3.58), gross motor (ß = 0.82; 95% CI, -1.34 to 2.99), fine motor (ß = 0.36; 95% CI, -0.74 to 1.47), expressive language (ß = -1.00; 95% CI, -4.02 to 2.02), or receptive language (ß = 0.45; 95% CI, -2.15 to 3.04) DAYC-2 subdomain scores. Trimester of exposure and maternal symptom status were not associated with DAYC-2 subdomain scores. Conclusions and Relevance: In this study, results of a novel telehealth-adapted observational neurodevelopmental assessment extended a previous finding of no association between prenatal exposure to maternal SARS-CoV-2 infection and infant neurodevelopment. Given the widespread and continued high prevalence of COVID-19, these data offer information that may be helpful for pregnant individuals who experience asymptomatic or mild SARS-CoV-2 infections.


Subject(s)
COVID-19 , Pregnancy Complications, Infectious , Prenatal Exposure Delayed Effects , Infant, Newborn , Child , Female , Pregnancy , Humans , Infant , Male , Child, Preschool , Adult , Cohort Studies , Prospective Studies , COVID-19/epidemiology , Prenatal Exposure Delayed Effects/epidemiology , Cross-Sectional Studies , Pregnancy Complications, Infectious/epidemiology , SARS-CoV-2
4.
Pediatr Infect Dis J ; 42(4): 315-320, 2023 04 01.
Article in English | MEDLINE | ID: mdl-36602338

ABSTRACT

BACKGROUND: Studies suggest infants may be at increased risk of severe coronavirus disease 2019 (COVID-19) relative to older children, but few data exist regarding the incidence of COVID-19 episodes and associated risk factors. We estimate incidence rates and describe characteristics associated with medically attended COVID-19 episodes among infants younger than 6 months of age. METHODS: We analyzed electronic medical record data from a cohort of infants born March 1, 2020-February 28, 2021. Data from 3 health care delivery systems included demographic characteristics, maternal and infant outpatient visit and hospitalization diagnoses and severe acute respiratory syndrome coronavirus syndrome 2 (SARS-CoV-2) test results. Medically attended COVID-19 episodes were defined by positive SARS-CoV-2 clinical tests and/or COVID-19 diagnosis codes during medical care visits. Unadjusted and site-adjusted incidence rates by infant month of age, low and high SARS-CoV-2 circulation periods and maternal COVID-19 diagnosis were calculated. RESULTS: Among 18,192 infants <6 months of age whose mothers received prenatal care within the 3 systems, 173 (1.0%) had medically attended COVID-19 episodes. Incidence rates were highest among infants under 1 month of age (2.0 per 1000 person-weeks) and 1 month (2.0 per 1000 person-weeks) compared with older infants. Incidence rates were also higher for infants born to women with postpartum COVID-19 compared with women without known COVID-19 and women diagnosed with COVID-19 during pregnancy. CONCLUSIONS: Infants of women with postpartum COVID-19 had a higher risk of medically attended COVID-19 than infants born to mothers who were diagnosed during pregnancy or never diagnosed underscoring the importance of COVID-19 prevention measures for their household members and caregivers to prevent infections in infants.


Subject(s)
COVID-19 , Pregnancy Complications, Infectious , Pregnancy , Child , Infant , Humans , Female , Adolescent , Infant, Newborn , COVID-19/epidemiology , Incidence , SARS-CoV-2 , COVID-19 Testing , Risk Factors , Pregnancy Complications, Infectious/prevention & control
5.
Clin Infect Dis ; 76(3): e51-e59, 2023 02 08.
Article in English | MEDLINE | ID: mdl-35959949

ABSTRACT

BACKGROUND: Identifying severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections during peripartum hospitalizations is important to guide care, implement prevention measures, and understand infection burden. METHODS: This cross-sectional analysis used electronic health record data from hospitalizations during which pregnancies ended (peripartum hospitalizations) among a cohort of pregnant persons at 3 US integrated healthcare networks (sites 1-3). Maternal demographic, medical encounter, SARS-CoV-2 testing, and pregnancy and neonatal outcome information was extracted for persons with estimated delivery and pregnancy end dates during March 2020-February 2021 and ≥1 antenatal care record. Site-stratified multivariable logistic regression was used to identify factors associated with testing and compare pregnancy and neonatal outcomes among persons tested. RESULTS: Among 17 858 pregnant persons, 10 863 (60.8%) had peripartum SARS-CoV-2 testing; 222/10 683 (2.0%) had positive results. Testing prevalence varied by site and was lower during March-May 2020. Factors associated with higher peripartum SARS-CoV-2 testing odds were Asian race (adjusted odds ratio [aOR]: 1.36; 95% confidence interval [CI]: 1.03-1.79; referent: White) (site 1), Hispanic or Latino ethnicity (aOR: 1.33; 95% CI: 1.08-1.64) (site 2), peripartum Medicaid coverage (aOR: 1.33; 95% CI: 1.06-1.66) (site 1), and preterm hospitalization (aOR: 1.69; 95% CI: 1.19-2.39 [site 1]; aOR: 1.39; 95% CI: 1.03-1.88 [site 2]). CONCLUSIONS: Findings highlight potential disparities in SARS-CoV-2 peripartum testing by demographic and pregnancy characteristics. Testing practice variations should be considered when interpreting studies relying on convenience samples of pregnant persons testing positive for SARS-CoV-2. Efforts to address testing differences between groups could improve equitable testing practices and care for pregnant persons with SARS-CoV-2 infections.


Subject(s)
COVID-19 , Pregnancy Complications, Infectious , Infant, Newborn , Female , Pregnancy , Humans , SARS-CoV-2 , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19 Testing , Cross-Sectional Studies , Peripartum Period , Pregnancy Complications, Infectious/diagnosis , Pregnancy Complications, Infectious/epidemiology , Hospitalization
6.
Obstet Gynecol ; 140(6): 989-992, 2022 12 01.
Article in English | MEDLINE | ID: mdl-36357976

ABSTRACT

For public health research such as vaccine uptake or effectiveness assessments, self-reported coronavirus disease 2019 (COVID-19) vaccination status may be a more efficient measure than verifying vaccination status from medical records if agreement between sources is high. We assessed agreement between self-reported and medical record-documented COVID-19 vaccination status among pregnant individuals followed in a cohort during August 2020-October 2021. At end of pregnancy, participants completed questionnaires about COVID-19 vaccine receipt during pregnancy; staff verified vaccination status using medical records. Agreement was assessed between self-reported and medical record vaccination status using Cohen's kappa. There was high agreement between self-reported and medical record vaccination status (Kappa coefficient=0.94, 95% CI 0.91-0.98), suggesting that self-report may be acceptable for ascertaining COVID-19 vaccination status during pregnancy.


Subject(s)
COVID-19 , Pregnancy , Female , Humans , COVID-19/epidemiology , COVID-19/prevention & control , Self Report , COVID-19 Vaccines , Vaccination , Medical Records , Documentation
7.
Obstet Gynecol ; 140(5): 874-877, 2022 11 01.
Article in English | MEDLINE | ID: mdl-36201764

ABSTRACT

Influenza testing and case-confirmation rates in pregnant populations have not been reported during the coronavirus disease 2019 (COVID-19) pandemic. Using electronic medical record data from a cohort of nearly 20,000 pregnancies in the United States, this retrospective cohort study examines the frequency of acute respiratory or febrile illness encounters, influenza testing, and influenza positivity during the 2020-2021 influenza season, which occurred during the COVID-19 pandemic, compared with the 2019-2020 influenza season, which largely did not. The ratios of influenza tests to acute respiratory or febrile illness visits were similar in the 2019-2020 and 2020-2021 influenza seasons (approximately 1:8 and 1:9, respectively) but were low and varied by study site. Although influenza testing in pregnant patients continued in the 2020-2021 season, when severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) circulation was widespread in the United States, no cases of influenza were identified in our study cohort.


Subject(s)
COVID-19 , Influenza, Human , Humans , Pregnancy , Female , United States/epidemiology , Influenza, Human/diagnosis , Influenza, Human/epidemiology , Pandemics , Seasons , SARS-CoV-2 , COVID-19/epidemiology , Retrospective Studies
8.
Clin Infect Dis ; 74(12): 2218-2226, 2022 07 06.
Article in English | MEDLINE | ID: mdl-34410340

ABSTRACT

BACKGROUND: Data about the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among pregnant individuals are needed to inform infection-prevention guidance and counseling for this population. METHODS: We prospectively followed a cohort of pregnant individuals during August 2020-March 2021 at 3 US sites. The 3 primary outcomes were incidence rates of any SARS-CoV-2 infection, symptomatic infection, and asymptomatic infection, during pregnancy during periods of SARS-CoV-2 circulation. Participants self-collected weekly midturbinate nasal swabs for SARS-CoV-2 reverse transcription-polymerase chain reaction testing, completed weekly illness symptom questionnaires, and submitted additional swabs with coronavirus disease 2019 (COVID-19)-like symptoms. An overall SARS-CoV-2 infection incidence rate weighted by population counts of women of reproductive age in each state was calculated. RESULTS: Among 1098 pregnant individuals followed for a mean of 10 weeks, 9% (99/1098) had SARS-CoV-2 infections during the study. Population-weighted incidence rates of SARS-CoV-2 infection were 10.0 per 1000 (95% confidence interval, 5.7-14.3) person-weeks for any infection, 5.7 per 1000 (1.7-9.7) for symptomatic infections, and 3.5 per 1000 (0-7.1) for asymptomatic infections. Among 96 participants with SARS-CoV-2 infections and symptom data, the most common symptoms were nasal congestion (72%), cough (64%), headache (59%), and change in taste or smell (54%); 28% had measured or subjective fever. Median symptom duration was 10 (interquartile range, 6-16) days. CONCLUSIONS: Pregnant individuals in this study had a 1% risk of SARS-CoV-2 infection per week, underscoring the importance of COVID-19 vaccination and other prevention measures during pregnancy while SARS-CoV-2 is circulating in the community.


Subject(s)
COVID-19 , SARS-CoV-2 , Asymptomatic Infections/epidemiology , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19 Vaccines , Female , Humans , Incidence , Pregnancy , Risk Factors , United States/epidemiology
9.
Am J Perinatol ; 39(1): 75-83, 2022 01.
Article in English | MEDLINE | ID: mdl-34598291

ABSTRACT

OBJECTIVE: The aim of the study was to evaluate pregnant women's attitudes toward COVID-19 illness and vaccination and identify factors associated with vaccine acceptability. STUDY DESIGN: This was a cross-sectional survey among pregnant women enrolled in a prospective COVID-19 cohort study in Salt Lake City, UT, Birmingham, AL, and New York, NY, from August 9 to December 10, 2020. Women were eligible if they were 18 to 50 years old and <28 weeks of gestation. Upon enrollment, women completed surveys regarding concerns about COVID-19 illness and likelihood of getting COVID-19 vaccine if one were available during pregnancy. Vaccine acceptability was defined as a response of "very likely" or "somewhat likely" on a 4-point Likert scale. Factors associated with vaccine acceptability were assessed with multivariable logistic regression. RESULTS: Of 939 pregnant women eligible for the main cohort study, 915 (97%) consented to participate. Among these 915 women, 39% self-identified as White, 23% Black, 33% Hispanic, and 4% Other. Sixty-two percent received an influenza vaccine last season. Seventy-two percent worried about getting sick with COVID-19. If they were to get sick, 92% worried about harm to their pregnancy and 80% about harm to themselves. Only 41% reported they would get a vaccine. Of women who were unlikely to get vaccinated, the most frequently cited concern was vaccine safety for their pregnancy (82%). Non-Hispanic Black and Hispanic women had lower odds of accepting a vaccine compared with non-Hispanic White women (adjusted odds ratios [aOR] 0.4, 95% CI 0.2-0.6 for both). Receipt of influenza vaccine during the previous season was associated with higher odds of vaccine acceptability (aOR 2.1, 95% CI 1.5-3.0). CONCLUSION: Although most pregnant women worried about COVID-19 illness, <50% were willing to get vaccinated during pregnancy. Racial and ethnic disparities in plans to accept COVID-19 vaccine highlight the need to prioritize strategies to address perceived barriers among groups at high risk for COVID-19. KEY POINTS: · Less than half of pregnant patients stated they would get a COVID-19 vaccine.. · Protecting their baby was the most common reason for acceptance and refusal of the COVID-19 vaccine.. · Patients of minority race/ethnicity and those without prior influenza vaccination were less likely to accept the COVID-19 vaccine..


Subject(s)
COVID-19/prevention & control , Patient Acceptance of Health Care/psychology , Pregnant Women/psychology , Vaccination Hesitancy/statistics & numerical data , Vaccination/psychology , Adolescent , Adult , Black or African American/statistics & numerical data , COVID-19 Vaccines/adverse effects , Cross-Sectional Studies , Female , Hispanic or Latino/statistics & numerical data , Humans , Influenza Vaccines , Influenza, Human/prevention & control , Middle Aged , Patient Acceptance of Health Care/ethnology , Patient Acceptance of Health Care/statistics & numerical data , Pregnancy , Prospective Studies , SARS-CoV-2 , Surveys and Questionnaires , Vaccination/statistics & numerical data , Vaccination Hesitancy/ethnology , White People/statistics & numerical data , Young Adult
10.
J Air Waste Manag Assoc ; 65(10): 1185-93, 2015 Oct.
Article in English | MEDLINE | ID: mdl-26452015

ABSTRACT

UNLABELLED: The composition of exhaust emissions from nonroad engines and equipment varies based on a number of parameters, including engine type, emission control technology, fuel composition, and operating conditions. Speciated emissions data which characterize the chemical composition of these emissions are needed to develop chemical speciation profiles used for air quality modeling and to develop air toxics inventories. In this paper, we present results of an extensive review and analysis of available exhaust speciation data for total organic gases (TOG) for spark ignition (SI) engines running on gasoline/ethanol blends now in widespread use, and compression ignition (CI) engines running on diesel fuel. We identified two data sets best suited for development of exhaust speciation profiles. Neither of these data sets have previously been published. We analyzed the resulting speciation profiles for differences in SI engine exhaust composition between 2-stroke and 4-stroke engines using E0 (0% ethanol) and E10 (10% ethanol) blends, and differences in CI engine exhaust composition among engines meeting different emission standards. Exhaust speciation profiles were also analyzed to compare differences in maximum incremental reactivity (MIR) values; this is a useful indicator for evaluating how organic gases may affect ozone formation for air quality modeling. Our analyses found significant differences in speciated emissions from 2-stroke and 4-stroke SI engines, and between engines running on E0 and E10 fuels. We found significant differences in profiles from pre-Tier 1 CI engines, engines meeting Tier 1 standards, and engines meeting Tier 2 standards. Although data for nonroad CI engines meeting tier 4 standards with control devices such as particulate filters and selective catalyst reduction (SCR) devices were not available, data from highway CI engines suggest these technologies will substantially change profiles for nonroad CI engines as well (EPA, 2014c). IMPLICATIONS: The nonroad engine data sets analyzed in this study will substantially improve exhaust speciation profiles used to characterize organic gas emissions from nonroad engines. Since nonroad engines are major contributors to ambient air pollution, these profiles can considerably improve U.S. emission inventories for gaseous air toxics emitted from nonroad engines. The speciation profiles developed in this paper can be used to develop more accurate emission inputs to chemical transport models, leading to more accurate air quality modeling.


Subject(s)
Air Pollutants/analysis , Environmental Monitoring/methods , Gases/analysis , Vehicle Emissions/analysis , Ethanol/analysis , Gasoline/analysis
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