Changes in rates of adverse pregnancy outcomes during the COVID-19 pandemic: a cross-sectional study in the United States, 2019-2020

Impact of coronavirus disease 2019 vaccination on live birth rates after in vitro fertilization

OBJECTIVE

To investigate coronavirus disease 2019 (COVID-19) vaccination on the live birth rates in patients who underwent in vitro fertilization.

DESIGN

Retrospective cohort study.

SETTING

Academic fertility practice.

PATIENT(S)

Patients who underwent fresh or frozen embryo transfer cycles at an academic center between January 1, 2020, and December 31, 2021.

INTERVENTION(S)

Coronavirus disease 2019 vaccination, defined as completing a 2-dose regimen (Pfizer or Moderna) or 1-dose regimen (Johnson & Johnson/Janssen) before cycle initiation.

MAIN OUTCOME MEASURE(S)

The primary outcome was the live birth rate per embryo transfer. The secondary outcomes included positive human chorionic gonadotropin (hCG) and clinical pregnancy rates per embryo transfer. The outcomes from cycles among vaccinated and unvaccinated patients were compared. Descriptive statistics were used to analyze demographic and cycle characteristics using the Student t test and Wilcoxon rank sum, Pearson chi-square, and Fisher exact tests as appropriate for univariate analysis. Generalized estimating equation models were used to examine the strength of the relationship between vaccination status and pregnancy outcomes.

RESULT(S)

Among 709 unvaccinated and 648 vaccinated fresh cycles, no statistically significant differences were observed between the number of oocytes retrieved, oocyte maturity, fertilization, and blastocyst utilization rates. In the adjusted multivariate analysis, no statistically significant differences were noted between fresh cycles among vaccinated patients compared with those among unvaccinated patients with the rates of positive hCG (adjusted odds ratio [aOR], 1.37; 95% confidence interval [CI], 0.84-2.25), clinical pregnancy (aOR, 1.22; 95% CI, 0.73-2.03), or live birth (aOR, 1.37; 95% CI, 0.79-2.25) per embryo transfer. Among 264 unvaccinated and 423 vaccinated frozen embryo transfer (FET) cycles, vaccinated patients had higher odds of positive hCG (aOR, 1.54; 95% CI, 1.08-2.20), clinical pregnancy (aOR, 1.80; 95% CI, 1.27-2.56), and live birth (aOR, 2.31; 95% CI, 1.60-3.32) per embryo transfer than unvaccinated patients.

CONCLUSION(S)

Patients who were COVID-19 vaccinated before FET had higher rates of biochemical pregnancy, clinical pregnancy, and live birth. Vaccination was not associated with the pregnancy or live birth rates after fresh cycles. This study contributes to evidence supporting COVID-19 vaccination for patients attempting pregnancy.

Impact of COVID-19 on Perinatal Outcomes and Birth Locations in a Large US Metropolitan Area

This was a population-based study to determine the impact of COVID-19 on birth outcomes in the Chicago metropolitan area, comparing pre-pandemic (April-September 2019) versus pandemic (April-September 2020) births. Multivariable regression models that adjusted for demographic and neighborhood characteristics were used to estimate the marginal effects of COVID-19 on intrauterine fetal demise (IUFD)/stillbirth, preterm birth, birth hospital designation, and maternal and infant hospital length of stay (LOS). There were no differences in IUFD/stillbirths or preterm births between eras. Commercially insured preterm and term infants were 4.8 percentage points (2.3, 7.4) and 3.4 percentage points (2.5, 4.2) more likely to be born in an academic medical center during the pandemic, while Medicaid-insured preterm and term infants were 3.6 percentage points less likely (-6.5, -0.7) and 1.8 percentage points less likely (-2.8, -0.9) to be born in an academic medical center compared to the pre-pandemic era. Infant LOS decreased from 2.4 to 2.2 days (-0.35, -0.20), maternal LOS for indicated PTBs decreased from 5.6 to 5.0 days (-0.94, -0.19), and term births decreased from 2.5 to 2.3 days (-0.21, -0.17). The pandemic had a significant effect on the location of births that may have exacerbated health inequities that continue into childhood.

Pre-Delta, Delta, and Omicron Periods of the Coronavirus Disease 2019 (COVID-19) Pandemic and Health Outcomes During Delivery Hospitalization

OBJECTIVE

To examine the relationship between coronavirus disease 2019 (COVID-19) diagnosis at delivery and adverse maternal health and pregnancy outcomes during pre-Delta, Delta, and Omicron variant predominance, with a focus on the time period of Omicron variant predominance.

METHODS

We conducted a cross-sectional observational study with data from delivery hospitalizations in the Premier Healthcare Database from February 2020 to August 2023. The pre-Delta (February 2020-June 2021), Delta (July 2021-December 2021), and Omicron (January 2022-August 2023) periods of variant predominance were examined. Exposure to COVID-19 was identified by having a diagnostic code for COVID-19 during the delivery hospitalization. Adjusted prevalence ratios (aPRs) were calculated to compare the risks of adverse maternal and pregnancy outcomes for women with and without COVID-19 diagnoses at the time of delivery for each variant period.

RESULTS

Among 2,990,973 women with delivery hospitalizations, 1.9% (n=56,618) had COVID-19 diagnoses noted at delivery admission discharge, including 26,053 during the Omicron period. Across all variant time periods, the prevalence of many adverse maternal and pregnancy outcomes during the delivery hospitalization was significantly higher for pregnant women with COVID-19 compared with pregnant women without COVID-19. In adjusted models, COVID-19 during the Omicron period was associated with significant increased risks for maternal sepsis (COVID-19: 0.4% vs no COVID-19: 0.1%; aPR 3.32, 95% CI, 2.70-4.08), acute respiratory distress syndrome (0.6% vs 0.1%; aPR 6.19, 95% CI, 5.26-7.29), shock (0.2% vs 0.1%; aPR 2.14, 95% CI, 1.62-2.84), renal failure (0.5% vs 0.2%; aPR 2.08, 95% CI, 1.73-2.49), intensive care unit admission (2.7% vs 1.7%; aPR 1.64, 95% CI, 1.52-1.77), mechanical ventilation (0.3% vs 0.1%; aPR 3.15, 95% CI, 2.52-3.93), in-hospital death (0.03% vs 0.01%; aPR 5.00, 95% CI, 2.30-10.90), stillbirth (0.7% vs 0.6%; aPR 1.17, 95% CI, 1.01-1.36), and preterm delivery (12.3% vs 9.6%; aPR 1.28, 95% CI, 1.24-1.33).

CONCLUSION

Despite the possibility of some level of immunity due to previous severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, vaccination, or testing differences, risks of adverse outcomes associated with COVID-19 diagnosis at delivery remained elevated during the Omicron variant time period.

Delivery outcomes in a cohort of pregnant patients with COVID-19 with and without viral pneumonia

BACKGROUND

Among pregnant people, COVID-19 can lead to adverse outcomes, but the specific pregnancy outcomes that are affected by the disease are unclear. In addition, the effect of the severity of COVID-19 on pregnancy outcomes has not been clearly identified.

OBJECTIVE

This study aimed to evaluate the associations between COVID-19 with and without viral pneumonia and cesarean delivery, preterm delivery, preeclampsia, and stillbirth.

STUDY DESIGN

We conducted a retrospective cohort study (April 2020-May 2021) of deliveries between 20 and 42 weeks of gestation from US hospitals in the Premier Healthcare Database. The primary outcomes were cesarean delivery, preterm delivery, preeclampsia, and stillbirth. We used a viral pneumonia diagnosis (International Classification of Diseases -Tenth-Clinical Modification codes J12.8 and J12.9) to categorize patients by severity of COVID-19. Pregnancies were categorized into 3 groups: NOCOVID (no COVID-19), COVID (COVID-19 without viral pneumonia), and PNA (COVID-19 with viral pneumonia). Groups were balanced for risk factors by propensity-score matching.

RESULTS

A total of 814,649 deliveries from 853 US hospitals were included (NOCOVID: n=799,132; COVID: n=14,744; PNA: n=773). After propensity-score matching, the risks of cesarean delivery and preeclampsia were similar in the COVID group compared with the NOCOVID group (matched risk ratio, 0.97; 95% confidence interval, 0.94-1.00; and matched risk ratio, 1.02; 95% confidence interval, 0.96-1.07; respectively). The risks of preterm delivery and stillbirth were greater in the COVID group than in the NOCOVID group (matched risk ratio, 1.11; 95% confidence interval, 1.05-1.19; and matched risk ratio, 1.30; 95% confidence interval, 1.01-1.66; respectively). The risks of cesarean delivery, preeclampsia, and preterm delivery were higher in the PNA group than in the COVID group (matched risk ratio, 1.76; 95% confidence interval, 1.53-2.03; matched risk ratio, 1.37; 95% confidence interval, 1.08-1.74; and matched risk ratio, 3.33; 95% confidence interval, 2.56-4.33; respectively). The risk of stillbirth was similar in the PNA and COVID group (matched risk ratio, 1.17; 95% confidence interval, 0.40-3.44).

CONCLUSION

Within a large national cohort of hospitalized pregnant people, we found that the risk of some adverse delivery outcomes was elevated in people with COVID-19 with and without viral pneumonia, with much higher risks in the group with viral pneumonia.

The Temporal Relationship Between the Coronavirus Disease 2019 (COVID-19) Pandemic and Preterm Birth

OBJECTIVE

To evaluate whether preterm birth rates changed in relation to the onset of the coronavirus disease 2019 (COVID-19) pandemic and whether any change depended on socioeconomic status.

METHODS

This is an observational cohort study of pregnant individuals with a singleton gestation who delivered in the years 2019 and 2020 at 1 of 16 U.S. hospitals of the Maternal-Fetal Medicine Units Network. The frequency of preterm birth for those who delivered before the onset of the COVID-19 pandemic (ie, in 2019) was compared with that of those who delivered after its onset (ie, in 2020). Interaction analyses were performed for people of different individual- and community-level socioeconomic characteristics (ie, race and ethnicity, insurance status, Social Vulnerability Index (SVI) of a person's residence).

RESULTS

During 2019 and 2020, 18,526 individuals met inclusion criteria. The chance of preterm birth before the COVID-19 pandemic was similar to that after the onset of the pandemic (11.7% vs 12.5%, adjusted relative risk 0.94, 95% CI 0.86-1.03). In interaction analyses, race and ethnicity, insurance status, and the SVI did not modify the association between the epoch and the chance of preterm birth before 37 weeks of gestation (all interaction P >.05).

CONCLUSION

There was no statistically significant difference in preterm birth rates in relation to the COVID-19 pandemic onset. This lack of association was largely independent of socioeconomic indicators such as race and ethnicity, insurance status, or SVI of the residential community in which an individual lived.

An increase in cesarean section rate during the first wave of COVID-19 pandemic in Iran

BACKGROUND

The COVID-19 pandemic and its impact on healthcare services is likely to affect birth outcomes including the delivery mode. However, recent evidence has been conflicting in this regard. The study aimed to assess changes to C-section rate during the COVID-19 pandemic in Iran.

METHODS

This is a retrospective analysis of electronic medical records of women delivered in the maternity department of hospitals in all provinces of Iran before the COVID-19 pandemic (February-August 30, 2019) and during the pandemic (February-August 30, 2020). Data were collected through the Iranian Maternal and Neonatal Network (IMAN), a country-wide electronic health record database management system for maternal and neonatal information. A total of 1,208,671 medical records were analyzed using the SPSS software version 22. The differences in C-section rates according to the studied variables were tested using the χ2 test. A logistic regression analysis was conducted to determine the factors associated with C-section.

RESULTS

A significant rise was observed in the rates of C-section during the pandemic compared to the pre-pandemic (52.9% vs 50.8%; p = .001). The rates for preeclampsia (3.0% vs 1.3%), gestational diabetes (6.1% vs 3.0%), preterm birth (11.6% vs 6.9%), IUGR (1.2% vs 0.4%), LBW (11.2% vs 7.8%), and low Apgar score at first minute (4.2% vs 3.2%) were higher in women who delivered by C-section compared to those with normal delivery (P = .001).

CONCLUSIONS

The overall C-section rate during the first wave of COVID-19 pandemic was significantly higher than the pre-pandemic period. C-section was associated with adverse maternal and neonatal outcomes. Thus, preventing the overuse of C-section especially during pandemic becomes an urgent need for maternal and neonatal health in Iran.

The utility of systemic immune-inflammation index and systemic immune-response index in the prediction of adverse outcomes in pregnant women with coronavirus disease 2019: Analysis of 2649 cases

AIM

To investigate the association of systemic immune-inflammation index (SII) and systemic immune-response index (SIRI) with adverse perinatal outcomes in pregnant women with coronavirus disease 2019 (COVID-19).

METHODS

The cases were divided into (1) the Mild-moderate COVID-19 group (n = 2437) and (2) the Severe-critical COVID-19 group (n = 212). Clinical characteristics, perinatal outcomes, SII (neutrophilXplatelet/lymphocyte), and SIRI (neutrophilXmonocyte/lymphocyte) were compared between the groups. Afterward, SII and SIRI values were compared between subgroups based on pregnancy complications, neonatal intensive care unit (NICU) admission, and maternal mortality. A receiver operator characteristic analysis was performed for the determination of optimal cutoff values for SII and SIRI in the prediction of COVID-19 severity, pregnancy complications, NICU admission, and maternal mortality.

RESULTS

Both SII and SIRI were significantly higher in complicated cases (p < 0.05). Cutoff values in the prediction of severe-critical COVID-19 were 1309.8 for SII, and 2.3 for SIRI. For pregnancy complications, optimal cutoff values were 973.2 and 1.6. Cutoff values of 1045.4 and 1.8 were calculated for the prediction of NICU admission. Finally, cut-off values of 1224.2 and 2.4 were found in the prediction of maternal mortality.

CONCLUSION

SII and SIRI might be used in combination with other clinical findings in the prediction of poor perinatal outcomes.

Knowledge and perception of cardiovascular disease risk in women of reproductive age

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Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in American women, but general knowledge and perception of risk in this population remains poor.

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In this cross-sectional study of young women, significant gaps in knowledge and perception of CVD risk in individuals who have experienced an APO were identified along with general knowledge deficits related to pregnancy-related risk factors and CVD risk in young women.

•

These findings provide primary data to support the need for development and delivery of educational content on CVD risk to young women, particularly during the peripartum period.

Objective

Women who experience adverse pregnancy outcomes (APO) are at increased risk for cardiovascular disease (CVD); however, their knowledge of CVD risk is not well characterized. We aimed to evaluate knowledge and perception of CVD risk in young women and to determine whether these factors differ based on experience of an APO.

Methods

We conducted a cross-sectional study among women with a recent live birth at an urban medical center. Knowledge and perception of CVD risk were assessed through a self-administered online survey adapted from the American Heart Association Survey of Women's CVD Awareness.

Results

Of 5612 individuals contacted between 3/1/21 and 4/18/21, 714 completed the survey; the mean (SD) age was 34 (4) years and 25% reported an APO. While 62% of respondents identified CVD as the leading cause of death in women, there was no significant difference in CVD knowledge scores between participants who reported experiencing an APO and those who did not (6.9 vs 6.8 out of 10; p = 0.51). Participants who reported experiencing an APO had higher perception of personal risk for CVD (adjusted odds ratio, 2.64 [95% CI 1.83-3.80]) compared with participants who did not. Half of participants who experienced an APO reported perceiving average, or below average, risk for CVD and only 41 (22.5%) reported speaking with a healthcare professional about CVD within the past year.

Conclusions

Gaps remain in knowledge of CVD risk among young women, particularly after an APO. The peripartum period may represent a unique opportunity for targeted education when healthcare engagement is high.