Changes in Adverse Pregnancy Outcomes Associated With the COVID-19 Pandemic in the United States

Increasing Prevalence of Diagnosed Gestational Diabetes in South Carolina: 2015-2021

Objective: To examine trends with a focus on racial and ethnic disparities in reported gestational diabetes mellitus (GDM) and related outcomes (macrosomia, large for gestational age infants) before and during the COVID-19 pandemic in South Carolina (SC). Methods: A retrospective cohort study of pregnancies resulting in livebirths from 2015 through 2021 was conducted in SC. Statewide maternal hospital and emergency department discharge codes were linked to birth certificate data. GDM was defined by ICD-9-CM (i.e., 648.01-648.02, 648.81-648.82) or ICD-10-CM codes (i.e., O24.4, O24.1, O24.9), or indication of GDM on the birth certificate without evidence of diabetes outside pregnancy (ICD-9-CM: 250.xx; ICD-10-CM: E10, E11, O24.0, O24.1, O24.3). Results: Our study included 194,777 non-Hispanic White (White), 108,165 non-Hispanic Black (Black), 25,556 Hispanic, and 16,344 other race-ethnic group pregnancies. The relative risk for GDM associated with a 1-year increase was 1.01 (95% confidence interval [CI]: 1.01-1.02) before the pandemic and 1.12 (1.09-1.14) during the pandemic. While there were race-ethnic differences in the prevalence of GDM, increasing trends were similar across all race-ethnic groups before and during the pandemic. From quarter 1, 2020, to quarter 4, 2021, the prevalence of reported GDM increased from 8.92% to 10.85% in White, from 8.04% to 9.78% in Black, from 11.2% to 13.65% in Hispanic, and from 13.3% to 16.16% in other race-ethnic women. Conclusion: An increasing prevalence of diagnosed GDM was reported during the COVID-19 pandemic. Future studies are needed to understand the mechanisms underlying increasing trends, to develop interventions, and to determine whether the increasing trend continues in subsequent years.

Adverse delivery hospitalisation outcomes in 2020 during the COVID-19 pandemic

OBJECTIVE

To evaluate risk for adverse obstetric outcomes associated with the coronavirus disease 2019 (COVID-19) pandemic period and with COVID-19 diagnoses.

DESIGN

Serial cross-sectional study.

SETTING

A national sample of US delivery hospitalisations before (1/2016 to 2/2020) and during the first 10 months of (3/2020 to 12/2020) the COVID-19 pandemic.

POPULATION

All 2016-2020 US delivery hospitalisations in the National Inpatient Sample.

METHODS

Delivery hospitalisations were identified and stratified into pre-pandemic and pandemic periods and the likelihood of adverse obstetric outcomes was compared using logistic regression models with adjusted odds ratios (aOR) with 95% confidence intervals (CI) as measures of association. Risk for adverse outcomes was also analysed specifically for 2020 deliveries with a COVID-19 diagnosis.

MAIN OUTCOME MEASURE

Adverse maternal outcomes including respiratory complications and cardiac morbidity.

RESULTS

Of an estimated 18.2 million deliveries, 2.9 million occurred during the pandemic. The proportion of delivery hospitalisations with a COVID-19 diagnosis increased from 0.1% in March 2020 to 3.1% in December. Comparing the pandemic period to the pre-pandemic period, there were higher adjusted odds of transfusion (aOR 1.12, 95% CI 1.05-1.19), a respiratory complication composite (aOR 1.37, 95% CI 1.29-1.46), cardiac severe maternal morbidity (aOR 1.30, 95% 1.20-1.39), postpartum haemorrhage (aOR 1.19, 95% CI 1.15-1.24), placental abruption/antepartum haemorrhage (OR 1.04, 95% CI 1.00-1.08), and hypertensive disorders of pregnancy (OR 1.23, 95% CI 1.21-1.26). These associations were similar to unadjusted analysis. Risk for these outcomes during the pandemic period was significantly higher in the presence of a COVID-19 diagnosis.

CONCLUSIONS

In a national estimate of delivery hospitalisations, the odds of cardiac and respiratory outcomes were higher in 2020 compared with 2016-2019. COVID-19 diagnoses were specifically associated with a range of serious complications.

Effects of COVID-19 pandemic on low birth weight in a nationwide study in India

BACKGROUND

Among newborns, those born in India have the highest prevalence of low birth weight (LBW). The COVID-19 pandemic exacerbated the risk factors for LBW. This study examined whether birth outcomes deteriorated during the pandemic period compared to those during the pre-pandemic period.

METHODS

This cross-sectional study included nationally representative data on 198,203 infants. Multivariate ordinary least square and logistic regression models with district fixed effects were fitted to compare the birth outcomes in the pandemic period (April 2020-April 2021) and the pre-pandemic period (July 2014-December 2019). Regression models were adjusted for covariates-gender and birth order of the child, mother's age and education, rural residence, religion, caste, and household wealth.

RESULTS

The pandemic cohort includes 11,851 infants (5.8%), while the pre-pandemic cohort includes 192,764 infants (94.2%). The LBW prevalence rate is 20% in the pandemic cohort and 17% in the pre-pandemic cohort. The covariate-adjusted model shows significant differences in birth weight (11 grams) and LBW (aOR: 1.08; 95% CI: 1.03-1.14) between the pandemic and pre-pandemic cohorts.

CONCLUSIONS

Our findings show that babies born during the COVID-19 pandemic are more likely to be LBW. The subgroup analyses indicate significant differences by religion but not by maternal education, caste, and wealth group.

Congenital anomalies during Covid-19: artifact of surveillance or a real TORCH?

Infections in the first trimester of pregnancy can be teratogenic, but the possibility that Covid-19 could lead to birth defects is unclear. We examined whether SARS-CoV-2 infection during pregnancy or exposure to pandemic conditions were associated with the risk of congenital anomalies. We carried out a retrospective study of 420,222 neonates born in Quebec, Canada in two time periods: prepandemic (January 1, 2017 to March 12, 2020) vs. pandemic (March 13, 2020 to March 31, 2022). We classified pandemic births as early (first trimester completed before the pandemic) or late (first trimester during the pandemic), and identified patients with SARS-CoV-2 infections during pregnancy. We applied (1) adjusted log-binomial regression models to assess the association between SARS-CoV-2 infection and congenital anomalies, and (2) autoregressive interrupted time series regression to analyze temporal trends in the monthly number of defects in all patients regardless of infection. In total, 29,263 newborns (7.0%) had a congenital anomaly. First trimester SARS-CoV-2 infections were not associated with a greater risk of birth defects compared with no infection (RR 1.07, 95% CI 0.59-1.95). However, births during the late pandemic period were more likely to be diagnosed with congenital microcephaly compared with prepandemic births (RR 1.44, 95% CI 1.21-1.71). Interrupted time series analysis confirmed that the frequency of microcephaly increased during the late pandemic period, whereas other anomalies did not. We conclude that Covid-19 is likely not teratogenic, but enhanced surveillance of anomalies among late pandemic births may have heightened the detection of infants with microcephaly.

Preventing Health Disparities during COVID through Perinatal Home Screening as Black Authoritative Knowledge

During COVID-19 epidemic, health protocols limited face-to-face perinatal visits and increased reliance on telehealth. To prevent increased health disparities among BIPOC pregnant patients in health-underserved areas, we used a pre-post survey design to pilot a study assessing (1) feasibility of transferring technology including a blood pressure (BP) cuff (BPC) and a home screening tool, (2) providers' and patients' acceptance and use of technology, and (3) benefits and challenges of using the technology. Specific objectives included (1) increasing contact points between patients and perinatal providers; (2) decreasing barriers to reporting and treating maternal hypertension, stress/depression, and intimate partner violence (IPV)/domestic violence (DV); and (3) bundling to normalize and facilitate mental, emotional, and social health monitoring alongside BP screening. Findings confirm this model is feasible. Patients and providers used this bundling model to improve antenatal screening under COVID quarantine restrictions. More broadly, home-monitoring improved antenatal telehealth communication, provider diagnostics, referral and treatment, and bolstered patient autonomy through authoritative knowledge. Implementation challenges included provider resistance, disagreement with lower than ACOG BP values to initiate clinical contact and fear of service over-utilization, and patient and provider confusion about tool symbols due to limited training. We hypothesize that routinized pathologization and projection of crisis onto BIPOC people, bodies, and communities, especially around reproduction and continuity, may contribute to persistent racial/ethnic health disparities. Further research is needed to examine whether authoritative knowledge increases use of critical and timely perinatal services by strengthening embodied knowledge of marginalized patients and, thus, their autonomy and self-efficacy to enact self-care and self-advocacy.

The impact of the COVID-19 pandemic on infant obesity: A nationwide retrospective cohort study

BACKGROUND

Lifestyle changes, such as those related to the COVID-19 pandemic, including alterations in physical activity and dietary habits, are known to affect pregnancy outcomes. In particular, suboptimal intrauterine conditions during pregnancy are known to influence not only fetal growth but also growth during infancy. However, research on the impact of the environmental changes caused by the COVID-19 pandemic on the growth of infants and children during their early years is lacking. To address this issue, this study evaluated the effect of the COVID-19 pandemic on obesity in infants.

METHODS

This retrospective cohort study used the data collected from the Korea National Health Insurance (KNHI) claims database. The data of 1985,678 women who delivered infants between 2015 and 2021 were collected. Women who delivered during the pandemic and those who delivered during the pre-pandemic period were matched in a 1:1 frequency-matched pair procedure for factors such as age, hypertension, diabetes mellitus, preeclampsia, gestational diabetes mellitus, mode of delivery, gestational age at delivery, offspring sex, and birth weight. Finally, 197,580 women were enrolled. The weight and head circumference of infants (4-6 months of age) of the COVID-19 pandemic group were compared with those of the pre-pandemic group.

RESULTS

The COVID-19 pandemic group infants exhibited significantly higher weight and prevalence of obesity at 4-6 months of age compared to infants in the pre-pandemic group. After adjustment for covariates, pandemic group infants had a higher risk of obesity (odds ratio: 1.54, 95% confidence interval: 1.51-1.57) compared to the pre-pandemic group infants.

CONCLUSION

The COVID-19 pandemic has had a notable impact on the weight of infants aged 4-6 months. This suggests that pandemic conditions may influence the growth of newborns, underscoring the importance of monitoring and assessing trends in the growth of infants born during such crises.

Effect of Lockdown Period of COVID-19 Pandemic on Maternal Weight Gain, Gestational Diabetes, and Newborn Birth Weight

OBJECTIVE

This study aimed to determine whether the lockdown period of the initial novel coronavirus disease 2019 (COVID-19) surge in New York affected gestational weight gain (GWG), newborn birth weight (BW), and the frequency of gestational diabetes mellitus (GDM). Maternal and newborn outcomes during the first wave of the pandemic were compared with those during the same timeframe in the previous 2 years.

STUDY DESIGN

Retrospective cross-sectional study of all live singleton term deliveries from April 1 to July 31 between 2018 and 2020 at seven hospitals within a large academic health system in New York. Patients were excluded for missing data on: BW, GWG, prepregnancy body mass index, and gestational age at delivery. We compared GWG, GDM, and BW during the pandemic period (April-July 2020) with the same months in 2018 and 2019 (prepandemic) to account for seasonality. Linear regression was used to model the continuous outcomes of GWG and BW. Logistic regression was used to model the binary outcome of GDM.

RESULTS

A total of 20,548 patients were included in the study: 6,672 delivered during the pandemic period and 13,876 delivered during the prepandemic period. On regression analysis, after adjustment for study epoch and patient characteristics, the pandemic period was associated with lower GWG (β = -0.46, 95% confidence interval [CI]: -0.87 to -0.05), more GDM (adjusted odds ratio [aOR] = 1.24, 95% CI: 1.10-1.39), and no change in newborn BW (β = 0.03, 95% CI: -11.7 to 11.8) compared with the referent period. The largest increases in GDM between the two study epochs were noted in patients who identified as Hispanic (8.6 vs. 6.0%; p < 0.005) and multiracial/other (11.8 vs. 7.0%; p < 0.001).

CONCLUSION

The lockdown period of the pandemic was associated with a decrease in GWG and increase in GDM. Not all groups were affected equally. Hispanic and multiracial patients experienced a larger percentage change in GDM compared with non-Hispanic white patients.

KEY POINTS

· The COVID-19 lockdown was associated with decreased GWG and increased GDM.. · No change in newborn BW was seen during the lockdown.. · Overall, the lockdown did not have a large clinical effect on these pregnancy outcomes..

COVID-19, Pregnancy, and Diabetes Mellitus

During the severe acute respiratory distress virus coronavirus type 2 (SARS-CoV-2) pandemic, many women were infected during their pregnancies. The SARS-CoV-2-induced coronavirus disease 19 (COVID-19) has an impact on maternal health and pregnancy outcomes; peripartum and perinatal morbidity and mortality are increased. Pregnancy is considered a risk factor for severe COVID-19 course. Additional risk factors during pregnancy are diabetes mellitus, gestational diabetes mellitus (GDM), and obesity. Systemic inflammation can lead to severe metabolic dysregulation with ketoacidosis. The endocrine pancreas is a target organ for SARS-CoV-2 and the fetal risk depends on inflammation of the placenta. Up to now there is no evidence that SARS-CoV-2 infection during pregnancy leads to permanent diabetes in mothers or their offspring via triggering autoimmunity or beta cell destruction. The frequently observed increased prevalence of GDM compared to the years before the pandemic is most likely due to changed lifestyle during lockdown. Furthermore, severe COVID-19 may be associated with the development of GDM due to worsening of glucose tolerance. Vaccination with a mRNA vaccine is safe and highly effective to prevent infection and to reduce hospitalization. Registries support offering evidence-based recommendations on vaccination for pregnant women. Even with the current omicron virus variant, there are increased risks for symptomatic and unvaccinated pregnant women.

Pregnancy-Related Complications During the COVID-19 Pandemic in Iran

BACKGROUND

The COVID-19 pandemic has profoundly affected healthcare systems worldwide, with significant collateral damage to vulnerable populations, including the perinatal population. This study sought to compare pregnancy-related complications before and during the COVID-19 pandemic in Iran.

METHODS

This retrospective data analysis was performed from February 20 to August 20, 2019 (prior to the onset of the COVID-19 pandemic) and from February 20 to August 20, 2020 (during the pandemic), encompassing the initial wave of the pandemic and the subsequent lockdown. To collect data, we utilized the medical records of 168,358 women obtained from the Iranian Maternal and Neonatal Network, which is a comprehensive electronic health record database management system specifically designed to store information pertaining to maternal and neonatal health.

RESULTS

A total of 168,358 medical records were analyzed, with 87388 (51.9%) and 80970 (48.1%) before and during the pandemic, respectively. The occurrence of pregnancy complications was found to be significantly more frequent during the pandemic compared to the pre-pandemic period. Notably, there was a higher likelihood of experiencing preeclampsia (odds ratio [OR]=1.14, 95% confidence interval [CI]: 1.07‒1.22, P=0.0001) and gestational diabetes (OR=1.14, 95% CI: 1.09‒1.19, P=0.0001) during the pandemic. Furthermore, cesarean section (CS) became more prevalent during the pandemic in comparison to vaginal delivery (OR=1.19, 95% CI: 1.17‒-1.22, P=0.0001).

CONCLUSION

Our findings demonstrated a significant association between the COVID-19 pandemic and an escalation in adverse pregnancy outcomes, notably preeclampsia, gestational diabetes, and CS deliveries. However, further research is warranted to gain a richer understanding of the intricate interplay between the COVID-19 pandemic and pregnancy complications. This is particularly crucial in light of the evolving landscape of new coronavirus variants.

The Rising Incidence of Hyperinsulinemic Hypoglycemia: Connection With Maternal Health

OBJECTIVE

Due to a perceived rise in hyperinsulinemic hypoglycemia (HH) cases over time, notably during the COVID-19 pandemic, institutional experiences between 2013 and 2021 were reviewed to evaluate trends, characteristics, and outcomes in children with HH.

METHODS

Charts of all children diagnosed with HH during the study period and evaluated by Pediatric Endocrinology were reviewed. HH was defined per Pediatric Endocrine Society guidelines. Regression analysis compared rates of change in HH cases and maternal risk factors over time.

RESULTS

The incidence of HH began to rise in April 2016 and became significant in March 2017 (P < .001), with a more rapid rate of rise during the first year of the COVID-19 pandemic (P < .001). Seventy-four children with HH were identified over 9 years; 43% (n = 32) were diagnosed in 2020-2021. Maternal hypertensive disorders demonstrated longitudinal association with hyperinsulinism cases (P < .001).

CONCLUSION

While HH diagnoses were on the rise for much of the 9-year study period, nearly half of all infants were diagnosed during the COVID-19 pandemic in 2020 to 21. The trends in HH diagnoses correlated with maternal hypertensive disorders. More studies exploring the roles of maternal health, hypertension, and stress and development of HH in offspring are needed.

Effects of COVID-19 Infection on the Oral Glucose Tolerance Test Results in Pregnancy

INTRODUCTION

The aim of this study was to evaluate the results of a 75 g oral glucose tolerance test (OGTT) performed in the second trimester of pregnancy, the prevalence of gestational diabetes mellitus (GDM), and perinatal outcomes in pregnant women with a history of coronavirus disease 2019 (COVID-19) infection and to examine the effect of COVID-19 infection history on OGTT results and GDM prevalence.

METHODS

We retrospectively analyzed the data of 463 patients who visited the Gynecology and Obstetrics Department of Kayseri City Hospital between March 2020 and January 2023 and were administered a 75-g OGTT in the second trimester of their pregnancy. Accordingly, we traced COVID-19 history, OGTT results, GDM prevalence, and newborn outcomes among the patients.

RESULTS

OGTT glucose values were higher in the study group with a history of COVID-19 infection, but there was no significant difference between the groups. GDM developed in 13 (23.2%) pregnant women in the group with a history of COVID-19 infection and 88 (21.6%) pregnant women in the control group without a history of COVID-19 (p: 0.348). In addition, in pregnant women diagnosed with GDM, insulin requirement was 8.9% in the COVID-19 (+) group and 5.1% in the COVID-19 (-) group, and the results were not statistically significant (p: 0.178). There was no significant difference in neonatal outcomes between the groups.

CONCLUSIONS

In our study, we found that glucose values were higher and the prevalence of GDM was higher in pregnant women with a history of COVID-19 infection before the OGTT. It is necessary to be more careful about issues such as blood glucose regulation and GDM risk in pregnancy follow-up after infections such as COVID-19, which may have widespread systemic inflammatory effects, and patients should be informed in detail for pregnancy follow-up.

Association of Pre-Pregnancy Obesity and COVID-19 with Poor Pregnancy Outcome

BACKGROUND AND OBJECTIVES

During the COVID-19 pandemic, a possible overlap of obesity and COVID-19 infection has raised concerns among patients and healthcare professionals about protecting pregnant women from developing a severe infection and unwanted pregnancy outcomes. The aim of this study was to evaluate the associations of body mass index with clinical, laboratory, and radiology diagnostic parameters as well as pregnancy complications and maternal outcomes in pregnant patients with COVID-19.

MATERIALS AND METHODS

Clinical status, laboratory, and radiology diagnostic parameters and pregnancy outcomes were analyzed for pregnant women hospitalized between March 2020 and November 2021 in one tertiary-level university clinic in Belgrade, Serbia, due to infection with SARS-CoV-2. Pregnant women were divided into the three sub-groups according to their pre-pregnancy body mass index. For testing the differences between groups, a two-sided p-value <0.05 (the Kruskal-Wallis and ANOVA tests) was considered statistically significant.

RESULTS

Out of 192 hospitalized pregnant women, obese pregnant women had extended hospitalizations, including ICU duration, and they were more likely to develop multi-organ failure, pulmonary embolism, and drug-resistant nosocomial infection. Higher maternal mortality rates, as well as poor pregnancy outcomes, were also more likely to occur in the obese group of pregnant women. Overweight and obese pregnant women were more likely to develop gestational hypertension, and they had a higher grade of placental maturity.

CONCLUSIONS

Obese pregnant women hospitalized due to COVID-19 infection were more likely to develop severe complications.

Changes in preterm birth and stillbirth during COVID-19 lockdowns in 26 countries

Preterm birth (PTB) is the leading cause of infant mortality worldwide. Changes in PTB rates, ranging from -90% to +30%, were reported in many countries following early COVID-19 pandemic response measures ('lockdowns'). It is unclear whether this variation reflects real differences in lockdown impacts, or perhaps differences in stillbirth rates and/or study designs. Here we present interrupted time series and meta-analyses using harmonized data from 52 million births in 26 countries, 18 of which had representative population-based data, with overall PTB rates ranging from 6% to 12% and stillbirth ranging from 2.5 to 10.5 per 1,000 births. We show small reductions in PTB in the first (odds ratio 0.96, 95% confidence interval 0.95-0.98, P value <0.0001), second (0.96, 0.92-0.99, 0.03) and third (0.97, 0.94-1.00, 0.09) months of lockdown, but not in the fourth month of lockdown (0.99, 0.96-1.01, 0.34), although there were some between-country differences after the first month. For high-income countries in this study, we did not observe an association between lockdown and stillbirths in the second (1.00, 0.88-1.14, 0.98), third (0.99, 0.88-1.12, 0.89) and fourth (1.01, 0.87-1.18, 0.86) months of lockdown, although we have imprecise estimates due to stillbirths being a relatively rare event. We did, however, find evidence of increased risk of stillbirth in the first month of lockdown in high-income countries (1.14, 1.02-1.29, 0.02) and, in Brazil, we found evidence for an association between lockdown and stillbirth in the second (1.09, 1.03-1.15, 0.002), third (1.10, 1.03-1.17, 0.003) and fourth (1.12, 1.05-1.19, <0.001) months of lockdown. With an estimated 14.8 million PTB annually worldwide, the modest reductions observed during early pandemic lockdowns translate into large numbers of PTB averted globally and warrant further research into causal pathways.

Impact of Covid-19 on rates of gestational diabetes in a North American pandemic epicenter

AIMS

We assessed the impact of Covid-19 on gestational diabetes rates in Quebec, the pandemic epicenter of Canada.

METHODS

We conducted a population-based study of 569,686 deliveries in Quebec between 2014 and 2021. We measured gestational diabetes rates in wave 1 (March 1, 2020-August 22, 2020) and wave 2 (August 23, 2020-March 31, 2021), compared with the prepandemic period. We used interrupted time series regression to assess changes in gestational diabetes rates during each wave, and log-binomial regression models to estimate adjusted risk ratios (RR) and 95% confidence intervals (CI) for the association of the pandemic with gestational diabetes. We identified the types of patients that contributed to the change in gestational diabetes rates using Kitagawa's decomposition.

RESULTS

Gestational diabetes rates were higher during the first (13.2 per 100 deliveries) and second waves (14.3 per 100 deliveries) than during the prepandemic period (12.4 per 100 deliveries). Risk of gestational diabetes increased both in wave 1 (RR 1.05, 95% CI 1.02-1.09) and wave 2 (RR 1.14, 95% CI 1.10-1.18), compared with the prepandemic period. However, most of the increase in gestational diabetes rates was driven by low-risk women without Covid-19 infections who were socioeconomically advantaged, had no comorbidity, and were 25-34 years of age.

CONCLUSIONS

Gestational diabetes rates increased during the pandemic, mainly among women traditionally at low risk of hyperglycemia who did not have Covid-19 infections. Sudden widespread changes in screening or lifestyle can have a large impact on gestational diabetes rates in a population.

Impact of Isolation measures on pregnancy outcome during the COVID-19 pandemic

This study aims to explore the impact of isolation measures implemented during the COVID-19 pandemic on childbirth outcomes in pregnant women. The design was a retrospective cohort study. The pregnant women during the outbreak lockdown and isolation from February 1 to April 30, 2020, were defined as the exposed population, and the pregnant women in the same time frame in 2019 as the non-exposed population. All data for the study were obtained from the National Health Care Data Platform of Shandong University. Generalized linear regression models were used to analyze the differences in pregnancy outcomes between the two study groups. A total of 34,698 pregnant women from Shandong Province, China in the data platform met the criteria and were included in the study. The proportions were 11.53% and 8.93% for macrosomia in the exposed and the non-exposed groups and were 3.47% and 4.37% for low birth weight infants, respectively, which were significantly different. They were 22.55% and 25.94% attributed to average exposed effect for macrosomia and low birth weight infants. Meanwhile, the mean weight and standard deviation of full-term infants in the exposure group were 3414.80 ± 507.43 g, which were significantly higher than in the non-exposed group (3347.22 ± 502.57 g, P < 0.001). The effect of exposure was significant in the third trimester. In conclusion, the isolation during the COVID-19 pandemic increases the birth weight of infants and the probability of macrosomia, regardless of which trimester in isolation a pregnant woman was, while the third trimester is the sensitive window of exposure. Our findings provide a basis for health care and policy development during pregnancy in COVID-19, due to COVID-19 still showing a pandemic trend around the world in 2022.

Changes in preterm birth and birthweight during the SARS-CoV-2 pandemic: a nationwide study in South Korea

Birthweight is a strong determinant of a neonate’s health. The SARS-CoV-2 pandemic’s impact on birthweight has not been investigated in-depth, with inconsistent conclusions from initial studies. To assess changes in preterm birth and inappropriate birthweight between the SARS-CoV-2 pandemic and pre-pandemic periods. A nationwide birth micro-data consisted with exhaustive census of all births in 2011–2020 in South Korea was accessed to examine whether the mean birthweight and rates of under/overweight births changed significantly during the SARS-CoV-2 pandemic year (2020) compared to those of the pre-pandemic period (2011–2019). A total of 3,736,447 singleton births were analyzed. Preterm birth was defined as < 37 weeks of gestation. Low birthweight (LBW) and macrosomia were defined as birthweights < 2.5 kg and ≥ 4.0 kg, respectively. Small for gestational age (SGA) and large for gestational age (LGA) were defined as birthweights below the 10th and above 90th percentiles for sex and gestational age, respectively. Inappropriate birthweight was defined as one or more LBW, macrosomia, SGA, or LGA. Generalized linear models predicted birth outcomes and were adjusted for parental age and education level, marital status, parity, gestational age, and months from January 2011. There were 3,481,423 and 255,024 singleton births during the pre-pandemic and pandemic periods, respectively. Multivariable generalized linear models estimated negative associations between the pandemic and preterm birth (odds ratio [OR], 0.968; 95% confidence interval [CI] 0.958–0.978), LBW (OR: 0.967, 95% CI 0.956–0.979), macrosomia (OR: 0.899, 95% CI 0.886–0.912), SGA (OR: 0.974, 95% CI 0.964–0.983), LGA (OR: 0.952, 95% CI 0.945–0.959), and inappropriate birthweight (OR: 0.958, 95% CI 0.952–0.963), indicating a decline during the pandemic compared to pre-pandemic period. An 8.98 g decrease in birthweight (95% CI 7.98–9.99) was estimated during the pandemic. This is the largest and comprehensive nationwide study to date on the impact of the SARS-CoV-2 pandemic on preterm birth and inappropriate birthweight. Birth during the pandemic was associated with lower odds of being preterm, underweight, and overweight. Further studies are required to understand the dynamics underlying this phenomenon.

Assessment of glucose levels in pregnant women with history of COVID-19 in a case-control study

Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) infection may negatively affect glucose metabolism. This study aims to assess glucose levels, prevalence of gestational diabetes mellitus (GDM) and perinatal outcome in women with history of COVID-19. To this purpose, a group of 65 patients with history of COVID-19 and 94 control patients were retrospectively recruited among pregnant women who attended the pregnancy outpatient department between 01/2020 and 02/2022. Glucose data from an oral glucose tolerance test (OGTT), GDM status and obstetric complications were assessed. We observed no differences in average (p = 0.37), fasting (p = 0.62) or post-load glucose concentrations (60 min: p = 0.19; 120 min: p = 0.95) during OGTT. A total of 15 (23.1%) women in the COVID-19 group and 18 (19.1%) women in the control group developed GDM (p = 0.55). Moreover, caesarean section rate, weight percentiles and pregnancy outcomes were comparable between the groups (p = 0.49). In conclusion, in this study we did not identify a possible impact of COVID-19 on glucose metabolism in pregnancy, especially with regard to glucose concentrations during the OGTT and prevalence of GDM.

Comparison of Pregnancy and Birth Outcomes Before vs During the COVID-19 Pandemic

Importance

Little is known about changes in obstetric outcomes during the COVID-19 pandemic.

Objective

To assess whether obstetric outcomes and pregnancy-related complications changed during the COVID-19 pandemic.

Design, Setting, and Participants

This retrospective cohort study included pregnant patients receiving care at 463 US hospitals whose information appeared in the PINC AI Healthcare Database. The relative differences in birth outcomes, pregnancy-related complications, and length of stay (LOS) during the pandemic period (March 1, 2020, to April 31, 2021) were compared with the prepandemic period (January 1, 2019, to February 28, 2020) using logistic and Poisson models, adjusting for patients' characteristics, and comorbidities and with month and hospital fixed effects.

Exposures

COVID-19 pandemic period.

Main Outcomes and Measures

The 3 primary outcomes were the relative change in preterm vs term births, mortality outcomes, and mode of delivery. Secondary outcomes included the relative change in pregnancy-related complications and LOS.

Results

There were 849 544 and 805 324 pregnant patients in the prepandemic and COVID-19 pandemic periods, respectively, and there were no significant differences in patient characteristics between periods, including age (≥35 years: 153 606 [18.1%] vs 148 274 [18.4%]), race and ethnicity (eg, Hispanic patients: 145 475 [47.1%] vs 143 905 [17.9%]; White patients: 456 014 [53.7%] vs 433 668 [53.9%]), insurance type (Medicaid: 366 233 [43.1%] vs 346 331 [43.0%]), and comorbidities (all standardized mean differences <0.10). There was a 5.2% decrease in live births during the pandemic. Maternal death during delivery hospitalization increased from 5.17 to 8.69 deaths per 100 000 pregnant patients (odds ratio [OR], 1.75; 95% CI, 1.19-2.58). There were minimal changes in mode of delivery (vaginal: OR, 1.01; 95% CI, 0.996-1.02; primary cesarean: OR, 1.02; 95% CI, 1.01-1.04; vaginal birth after cesarean: OR, 0.98; 95% CI, 0.95-1.00; repeated cesarean: OR, 0.96; 95% CI, 0.95-0.97). LOS during delivery hospitalization decreased by 7% (rate ratio, 0.931; 95% CI, 0.928-0.933). Lastly, the adjusted odds of gestational hypertension (OR, 1.08; 95% CI, 1.06-1.11), obstetric hemorrhage (OR, 1.07; 95% CI, 1.04-1.10), preeclampsia (OR, 1.04; 95% CI, 1.02-1.06), and preexisting chronic hypertension (OR, 1.06; 95% CI, 1.03-1.09) increased. No significant changes in preexisting racial and ethnic disparities were observed.

Conclusions and Relevance

During the COVID-19 pandemic, there were increased odds of maternal death during delivery hospitalization, cardiovascular disorders, and obstetric hemorrhage. Further efforts are needed to ensure risks potentially associated with the COVID-19 pandemic do not persist beyond the current state of the pandemic.

Gestational diabetes mellitus and COVID-19: results from the COVID-19-Related Obstetric and Neonatal Outcome Study (CRONOS)

Background

Gestational diabetes mellitus is one of the most frequent pregnancy complications with a global prevalence of 13.4% in 2021. Pregnant women with COVID-19 and gestational diabetes mellitus are 3.3 times more likely to be admitted to an intensive care unit than women without gestational diabetes mellitus. Data on the association of gestational diabetes mellitus with maternal and neonatal pregnancy outcomes in pregnant women with SARS-CoV-2 infection are lacking.

Objective

This study aimed to investigate whether gestational diabetes mellitus is an independent risk factor for adverse maternal and fetal and neonatal outcomes in pregnant women with COVID-19.

Study Design

The COVID-19-Related Obstetric and Neonatal Outcome Study is a registry-based multicentric prospective observational study from Germany and Linz, Austria. Pregnant women with clinically confirmed COVID-19 were enrolled between April 3, 2020, and August 24, 2021, at any stage of pregnancy. Obstetricians and neonatologists of 115 hospitals actively provided data to the COVID-19-Related Obstetric and Neonatal Outcome Study. For collecting data, a cloud-based electronic data platform was developed. Women and neonates were observed until hospital discharge. Information on demographic characteristics, comorbidities, medical history, COVID-19–associated symptoms and treatments, pregnancy, and birth outcomes were entered by the local sites. Information on the periconceptional body mass index was collected. A primary combined maternal endpoint was defined as (1) admission to an intensive care unit (including maternal mortality), (2) viral pneumonia, and/or (3) oxygen supplementation. A primary combined fetal and neonatal endpoint was defined as (1) stillbirth at ≥24 0/7 weeks of gestation, (2) neonatal death ≤7 days after delivery, and/or (3) transfer to a neonatal intensive care unit. Multivariable logistic regression analysis was performed to evaluate the modulating effect of gestational diabetes mellitus on the defined endpoints.

Results

Of the 1490 women with COVID-19 (mean age, 31.0±5.2 years; 40.7% nulliparous), 140 (9.4%) were diagnosed with gestational diabetes mellitus; of these, 42.9% were treated with insulin. Overall, gestational diabetes mellitus was not associated with an adverse maternal outcome (odds ratio, 1.50; 95% confidence interval, 0.88–2.57). However, in women who were overweight or obese, gestational diabetes mellitus was independently associated with the primary maternal outcome (adjusted odds ratio, 2.69; 95% confidence interval, 1.43–5.07). Women who were overweight or obese with gestational diabetes mellitus requiring insulin treatment were found to have an increased risk of a severe course of COVID-19 (adjusted odds ratio, 3.05; 95% confidence interval, 1.38–6.73). Adverse maternal outcomes were more common when COVID-19 was diagnosed with or shortly after gestational diabetes mellitus diagnosis than COVID-19 diagnosis before gestational diabetes mellitus diagnosis (19.6% vs 5.6%; P<.05). Maternal gestational diabetes mellitus and maternal preconception body mass index of ≥25 kg/m² increased the risk of adverse fetal and neonatal outcomes (adjusted odds ratio, 1.83; 95% confidence interval, 1.05–3.18). Furthermore, overweight and obesity (irrespective of gestational diabetes mellitus status) were influential factors for the maternal (adjusted odds ratio, 1.87; 95% confidence interval, 1.26–2.75) and neonatal (adjusted odds ratio, 1.81; 95% confidence interval, 1.32–2.48) primary endpoints compared with underweight or normal weight.

Conclusion

Gestational diabetes mellitus, combined with periconceptional overweight or obesity, was independently associated with a severe maternal course of COVID-19, especially when the mother required insulin and COVID-19 was diagnosed with or after gestational diabetes mellitus diagnosis. These combined factors exhibited a moderate effect on neonatal outcomes. Women with gestational diabetes mellitus and a body mass index of ≥25 kg/m² were a particularly vulnerable group in the case of COVID-19.

Change in emergency medical services-attended out-of-hospital deliveries during COVID-19 in the United States

Background: The COVID-19 pandemic disrupted access to routine in-person prenatal care, potentially leading to higher risk of out-of-hospital deliveries. Unplanned out-of-hospital deliveries pose a substantial risk of morbidity and mortality for pregnant patients and newborns. Our objective was to determine the change in rate of emergency medical services (EMS)-attended out-of-hospital deliveries during the COVID-19 pandemic. We hypothesized that COVID-19-related stay-at-home orders were associated with a higher rate of out-of-hospital deliveries during the initial wave of COVID-19.Methods: We conducted an interrupted time series analysis using the 2019 and 2020 National EMS Information System datasets. We included 9-1-1 scene activations for patients 12-50 years old with out-of-hospital deliveries who were treated and transported by EMS. We calculated the weekly rate of deliveries per 100,000 EMS emergency activations each year overall, and for each census division. The interruption modeled was the enactment of stay-at-home orders, with March 25-31 selected as when most orders had been enacted. We fit ordinary least squares regression models with Newey-West standard errors to adjust for autocorrelation, testing for a change in level and slope overall and by census division.Results: A total of 10,778 out-of-hospital deliveries were included, 58% (n = 6,254) in 2020. The mean weekly rate of out-of-hospital deliveries in 2019 was 29.4 per 100,000 activations (95% CI: 28.4 to 30.4) versus 33.0 (95% CI: 31.8 to 34.1) in 2020. There was an immediate increase of 6.3 deliveries per 100,000 activations (95% CI: 3.3 to 9.3) after the week of March 25-31, with a subsequent decrease of 0.3 deliveries per 100,000 per week after (95% CI: -0.4 to -0.2). There were also statistically significant immediate increases in out-of-hospital deliveries after March 25-31 in the New England, East North Central, West South Central, and Mountain divisions.Conclusion: EMS-attended out-of-hospital deliveries remained rare during the COVID-19 pandemic, but there was an immediate increase during the initial wave of the pandemic with evidence of geographic variation. Large-scale disruptions in the health care system may result in increases in uncommon patient presentations to EMS.

Maternal and neonatal outcomes of pregnancies with COVID-19 after medically assisted reproduction: results from the prospective COVID-19-Related Obstetrical and Neonatal Outcome Study

Background

Severe acute respiratory syndrome coronavirus type 2 infections in pregnancy have been associated with maternal morbidity, admission to intensive care, and adverse perinatal outcomes such as preterm birth, stillbirth, and hypertensive disorders of pregnancy. It is unclear whether medically assisted reproduction additionally affects maternal and neonatal outcomes in women with COVID-19.

Objective

To evaluate the effect of medically assisted reproduction on maternal and neonatal outcomes in women with COVID-19 in pregnancy.

Study Design

A total of 1485 women with COVID-19 registered in the COVID-19 Related Obstetric and Neonatal Outcome Study (a multicentric, prospective, observational cohort study) were included. The maternal and neonatal outcomes in 65 pregnancies achieved with medically assisted reproduction and in 1420 spontaneously conceived pregnancies were compared. We used univariate und multivariate (multinomial) logistic regressions to estimate the (un)adjusted odds ratios and 95% confidence intervals for adverse outcomes.

Results

The incidence of COVID-19-associated adverse outcomes (eg, pneumonia, admission to intensive care, and death) was not different in women after conceptions with COVID-19 than in women after medically assisted reproduction pregnancies. Yet, the risk of obstetrical and neonatal complications was higher in pregnancies achieved through medically assisted reproduction. However, medically assisted reproduction was not the primary risk factor for adverse maternal and neonatal outcomes including pregnancy-related hypertensive disorders, gestational diabetes mellitus, cervical insufficiency, peripartum hemorrhage, cesarean delivery, preterm birth, or admission to neonatal intensive care. Maternal age, multiple pregnancies, nulliparity, body mass index >30 (before pregnancy) and multiple gestation contributed differently to the increased risks of adverse pregnancy outcomes in women with COVID-19 independent of medically assisted reproduction.

Conclusion

Although women with COVID-19 who conceived through fertility treatment experienced a higher incidence of adverse obstetrical and neonatal complications than women with spontaneous conceptions, medically assisted reproduction was not the primary risk factor.

Trends in Maternal Outcomes During the COVID-19 Pandemic in Alabama From 2016 to 2021

This cohort study assesses whether the COVID-19 pandemic is associated with an increase in the risk of maternal morbidity and mortality in Alabama from 2016 to 2021.

From society to cells and back again: new opportunities for discovery at the biosocial interface

A new generation of community- and population-based research is combining measures of social context, experience, and behavior with direct measures of physiology, gene sequence and function, and health. Studies drawing on models and methods from the social and biological sciences have the potential to illuminate the multilevel mechanisms through which experience becomes biology, and to move past decontextualized and reductionistic approaches to human development, behavior, and health. In this perspective we highlight challenges and opportunities at the biosocial interface, and briefly discuss COVID-19 as a case study demonstrating the importance of linking across levels of analysis.

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

OBJECTIVE

Our objective was to assess differences in pregnancy outcomes during the COVID-19 pandemic compared to the previous year.

STUDY DESIGN

In a cross-sectional study of delivery hospitalizations in the Premier Healthcare Database Special COVID-19 Release, we assessed differences in selected maternal and pregnancy outcomes occurring April-December in 2019 and 2020 in the United States.

RESULT

Among 663,620 deliveries occurring in 2019 and 614,093 deliveries occurring in 2020, we observed an increase in in-hospital maternal death from 2019 to 2020, which was no longer statistically significant after excluding deliveries with a COVID-19 diagnosis. Intensive care unit admission and preterm birth decreased from 2019 to 2020. There was no difference in the prevalence of most other outcomes examined.

CONCLUSION

The full impact of the COVID-19 pandemic on maternal and pregnancy outcomes remains to be understood. Most outcomes investigated experienced minimal change from 2019 to 2020.