Hypertensive disorders of pregnancy and severe acute respiratory syndrome coronavirus-2 infection.

OBJECTIVES: We aimed to determine whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in pregnancy is associated with an increased risk of hypertensive disorders of pregnancy (HDP). METHODS: A multicenter retrospective cohort study of all pregnant patients who had SARS-CoV-2 testing and delivered in a large health system between March 2020 and March 2021. Cases were stratified into two groups: patients who tested positive for SARS-CoV-2 during pregnancy vs. patients who tested negative. The primary outcome of HDP, defined as a composite of gestational hypertension, preeclampsia, hemolysis, elevated liver enzymes, and low platelet count syndrome (HELLP Syndrome), and eclampsia by standard criteria, was compared between the two groups. Statistical analysis included multivariable logistic regression to adjust for potential confounders such as maternal demographics and comorbidities. Patient ZIP codes were linked to neighborhood-level data from the US Census Bureau's American Community Survey. RESULTS: Of the 22,438 patients included, 1,653 (7.4%) tested positive for SARS-CoV-2 infection. Baseline demographics such as age, body mass index, race, ethnicity, insurance type, neighborhood-built environmental and socioeconomic status, nulliparity, and pregestational diabetes differed significantly between the two groups. SARS-CoV- 2 infection in pregnancy was not associated with an increased risk of HDP compared to those without infection (14.9 vs. 14.8%; aOR 1.06 95% CI 0.90-1.24). CONCLUSIONS: In this large cohort that included a universally-tested population with several socioeconomic indicators, SARS-CoV-2 infection in pregnancy was not associated with an increased risk of HDP.

Acceptance of coronavirus disease 2019 vaccination among postpartum women during delivery hospitalization.

OBJECTIVE: The immediate postpartum period, during delivery hospitalization, represents a unique opportunity to offer coronavirus disease 2019 (COVID-19) vaccination to those who did not previously receive it. In this study, we evaluated patient characteristics associated with acceptance of vaccination in this group. METHODS: This retrospective cohort study evaluated all unvaccinated patients who were offered postpartum COVID-19 vaccination during delivery hospitalization between May 2021 and September 2021 at seven hospitals within a large integrated health system in New York. During the study period, each hospitalized, unvaccinated obstetrical patient was offered the vaccine prior to discharge. Patients with positive SARS-CoV-2 PCR testing during hospitalization were excluded. Medical records were reviewed to obtain sociodemographic characteristics and to confirm administration of COVID-19 vaccination. Multiple logistic regression was performed to model the probability of receiving postpartum vaccination. RESULTS: A total of 8,281 unvaccinated postpartum patients were included for analysis and 412 (5%) received a COVID-19 vaccine before hospital discharge. Patients who received the vaccine were more likely to be older, have private insurance, decline to answer questions about religious affiliation, and deliver in the final two months of the study period. Likelihood of receiving postpartum vaccination was not affected by race-ethnicity, preferred language, marital status, parity, body mass index, or neighborhood socioeconomic conditions. Patients who declined vaccination were more likely to have positive SARS-CoV-2 antibody testing at delivery compared to those who received vaccination (49 vs. 29%; p < .001). CONCLUSION: Only 5% of unvaccinated postpartum patients received a COVID-19 vaccine before hospital discharge. It is concerning that patients with public health insurance were less likely to receive vaccination. This may be due to variation in vaccine counseling or other unmeasured factors. Despite the low acceptance rate in our study population, COVID-19 vaccination should be offered in a variety of clinical settings to maximize opportunities for administration.

Obstetrical Outcomes After Implementation of Laborist Model During the COVID-19 Pandemic.

OBJECTIVE: The COVID-19 pandemic prompted labor and delivery units to establish ways to decrease viral exposure to healthcare workers while continuing to deliver optimal patient care. A laborist model was implemented to improve safety at our tertiary care hospital in Long Island. The aim of the study is to determine whether implementation of a laborist model during the COVID-19 pandemic is associated with a change in the frequency of cesarean birth. METHODS: The retrospective cohort study included patients who delivered at a single tertiary center during March 2019 to May 2019 and March 2020 to May 2020 when our laborist model was initiated. The primary outcome compared the frequency of a cesarean delivery between both models. Secondary outcomes were the frequency of adverse obstetrical complications, which included intensive care unit admission, shoulder dystocia, intra-amniotic infection, hemorrhage, and need for blood transfusion. Statistical analysis included multivariable regression to adjust for potential confounders. RESULTS: A total of 1506 patients were included. Baseline characteristics were similar between the 2 groups. After adjusting for potential confounders, there was no significant difference in the frequency of cesarean births between both models (37% versus 35%; adjusted odds ratio, 1.003; 95% confidence interval, 0.46-2.89). Similarly, there were no significant differences in adverse outcomes between the study populations (adjusted odds ratio, 1.064; 95% confidence interval, 0.68-1.59). CONCLUSIONS: A change in practice behavior during a pandemic was not associated with an increase in frequency of cesarean births or adverse obstetrical outcomes.

Severe maternal morbidity in pregnant patients with SARS-CoV-2 infection.

BACKGROUND: Although the increased risk for severe illness and adverse pregnancy outcomes associated with SARS-CoV-2 infection during pregnancy is well described, the association of infection with severe maternal morbidity has not been well characterized. OBJECTIVE: This study aimed to evaluate the risk for severe maternal morbidity associated with SARS-CoV-2 infection during pregnancy. STUDY DESIGN: This was a multicenter retrospective cohort study of all pregnant patients who had a SARS-CoV-2 test done and who delivered in a New York health system between March 1, 2020 and March 1, 2021. Patients with missing test results were excluded. The primary outcome of severe maternal morbidity, derived from the American College of Obstetricians and Gynecologists and the Society for Maternal-Fetal Medicine example list of diagnoses and complications, was compared between the following 2 groups: patients who tested positive for SARS-CoV-2 during pregnancy and patients who tested negative. Secondary outcomes included subgroups of severe maternal morbidity. Multivariable logistic regression was used to adjust for potential confounders such as maternal demographics, neighborhood socioeconomic status, hospital location, and pregnancy-related complications. A subanalysis was performed to determine if the risk for severe obstetrical hemorrhage and hypertension-associated or neurologic morbidity differed based on the timing of SARS-CoV-2 infection between those who tested positive for SARS-CoV-2 at their delivery hospitalization (ie, active infection) and those who tested positive during pregnancy but negative at their delivery hospitalization (ie, resolved infection). RESULTS: Of the 22,483 patients included, 1653 (7.4%) tested positive for SARS-CoV-2 infection. Patients with SARS-CoV-2 infection were more commonly Black, multiracial, Hispanic, non-English speaking, used Medicaid insurance, were multiparous, and from neighborhoods with a lower socioeconomic status. Patients with SARS-CoV-2 infection were at an increased risk for severe maternal morbidity when compared with those without infection (9.3 vs 6.5%; adjusted odds ratio, 1.52; 95% confidence interval, 1.21-1.88). Patients with SARS-CoV-2 infection were also at an increased risk for severe obstetrical hemorrhage (1.1% vs 0.5%; adjusted odds ratio, 1.78; 95% confidence interval, 1.04-2.88), pulmonary morbidity (2.0% vs 0.5%; adjusted odds ratio, 3.90; 95% confidence interval, 2.52-5.89), and intensive care unit admission (1.8% vs 0.5%; adjusted odds ratio, 3.29; 95% confidence interval, 2.09-5.04) when compared with those without infection. The risk for hypertension-associated or neurologic morbidity was similar between the 2 groups. The timing of SARS-CoV-2 infection (whether active or resolved at time of delivery) was not associated with the risk for severe obstetrical hemorrhage or hypertension-associated or neurologic morbidity when compared with those without infection. CONCLUSION: SARS-CoV-2 infection during pregnancy was associated with an increased risk for severe maternal morbidity, severe obstetrical hemorrhage, pulmonary morbidity, and intensive care unit admission. These data highlight the need for obstetrical unit preparedness in caring for patients with SARS-CoV-2 infection, continued public health efforts aimed at minimizing the risk for infection, and support in including this select population in investigational therapy and vaccine trials.

The Risk of Readmission after Early Postpartum Discharge during the COVID-19 Pandemic.

OBJECTIVE: To determine whether early postpartum discharge during the coronavirus disease 2019 (COVID-19) pandemic was associated with a change in the odds of maternal postpartum readmissions. STUDY DESIGN: This is a retrospective analysis of uncomplicated postpartum low-risk women in seven obstetrical units within a large New York health system. We compared the rate of postpartum readmissions within 6 weeks of delivery between two groups: low-risk women who had early postpartum discharge as part of our protocol during the COVID-19 pandemic (April 1-June 15, 2020) and similar low-risk patients with routine postpartum discharge from the same study centers 1 year prior. Statistical analysis included the use of Wilcoxon's rank-sum and chi-squared tests, Nelson-Aalen cumulative hazard curves, and multivariate logistic regression. RESULTS: Of the 8,206 patients included, 4,038 (49.2%) were patients who had early postpartum discharge during the COVID-19 pandemic and 4,168 (50.8%) were patients with routine postpartum discharge prior to the COVID-19 pandemic. The rates of postpartum readmissions after vaginal delivery (1.0 vs. 0.9%; adjusted odds ratio [OR]: 0.75, 95% confidence interval [CI]: 0.39-1.45) and cesarean delivery (1.5 vs. 1.9%; adjusted OR: 0.65, 95% CI: 0.29-1.45) were similar between the two groups. Demographic risk factors for postpartum readmission included Medicaid insurance and obesity. CONCLUSION: Early postpartum discharge during the COVID-19 pandemic was associated with no change in the odds of maternal postpartum readmissions after low-risk vaginal or cesarean deliveries. Early postpartum discharge for low-risk patients to shorten hospital length of stay should be considered in the face of public health crises. KEY POINTS: · Early postpartum discharge was not associated with an increase in odds of hospital readmissions after vaginal delivery.. · Early postpartum discharge was not associated with an increase in odds of hospital readmissions after cesarean delivery.. · Early postpartum discharge for low-risk patients should be considered during a public health crisis..

Preterm birth among women with and without severe acute respiratory syndrome coronavirus 2 infection.

INTRODUCTION: Studies directly comparing preterm birth rates in women with and without severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are limited. Our objective was to determine whether preterm birth was affected by SARS-CoV-2 infection within a large integrated health system in New York with a universal testing protocol. MATERIAL AND METHODS: This retrospective cohort study evaluated data from seven hospitals in New York City and Long Island between March 2020 and June 2021, incorporating both the first and second waves of the coronavirus disease 2019 (COVID-19) pandemic in the USA. All patients with live singleton gestations who had SARS-CoV-2 polymerase chain reaction (PCR) testing at delivery were included. Deliveries before 20 weeks of gestation were excluded. The rate of preterm birth (before 37 weeks) was compared between patients with positive and negative SARS-CoV-2 test results. This analysis was performed separately for resolved prenatal infections and infections at delivery, with the latter group subdivided by symptom status. Multiple logistic regression analysis was used to examine the association between SARS-CoV-2 infection and preterm birth, adjusting for maternal age, race-ethnicity, parity, history of preterm birth, body mass index, marital status, insurance type, medical co-morbidities, month of delivery, and wave of pandemic. RESULTS: A total of 31 550 patients were included and 2473 (7.8%) had laboratory-confirmed infection. Patients with symptomatic COVID-19 at delivery were more likely to deliver preterm (19.0%; adjusted odds ratio 2.76, 95% CI 1.92-3.88) compared with women with asymptomatic infection (8.8%) or without infection (7.1%). Among preterm births associated with symptomatic infection, 72.5% were medically indicated compared with 44.1% among women without infection (p < 0.001). Risk of preterm birth in patients with resolved prenatal infection was unchanged when compared with women without infection. Among women with infection at delivery, preterm birth occurred more frequently during the second wave compared with the first wave (13.6% vs. 8.7%, respectively; p < 0.006). However, this was not significant on multiple regression analysis after adjusting for other explanatory variables. CONCLUSIONS: Pregnant women with symptomatic COVID-19 are more than twice as likely to have a preterm delivery than patients without infection. Asymptomatic infection and resolved prenatal infection are not associated with increased risk.

Social determinants of health and coronavirus disease 2019 in pregnancy.

BACKGROUND: The social and physical environments in which people live affect the emergence, prevalence, and severity of both infectious and noninfectious diseases. There are limited data on how such social determinants of health, including neighborhood socioeconomic conditions, affect the risk of severe acute respiratory syndrome coronavirus 2 infection and severity of coronavirus disease 2019 during pregnancy. OBJECTIVE: Our objective was to determine how social determinants of health are associated with severe acute respiratory syndrome coronavirus 2 infection and the severity of coronavirus disease 2019 illness in hospitalized pregnant patients in New York during the global coronavirus disease 2019 pandemic. STUDY DESIGN: This cross-sectional study evaluated all pregnant patients who delivered and had polymerase chain reaction testing for severe acute respiratory syndrome coronavirus 2 between March 15, 2020, and June 15, 2020, at 7 hospitals within Northwell Health, the largest academic health system in New York. During the study period, universal severe acute respiratory syndrome coronavirus 2 testing protocols were implemented at all sites. Polymerase chain reaction testing was performed using nasopharyngeal swabs. Patients were excluded if the following variables were not available: polymerase chain reaction results, race, ethnicity, or zone improvement plan (ZIP) code of residence. Clinical data were obtained from the enterprise electronic health record system. For each patient, ZIP code was used as a proxy for neighborhood. Socioeconomic characteristics were determined by linking to ZIP code data from the United States Census Bureau's American Community Survey and the Internal Revenue Service's Statistics of Income Division. Specific variables of interest included mean persons per household, median household income, percent unemployment, and percent with less than high school education. Medical records were manually reviewed for all subjects with positive polymerase chain reaction test results to correctly identify symptomatic patients and then classify those subjects using the National Institutes of Health severity of illness categories. Classification was based on the highest severity of illness throughout gestation and not necessarily at the time of presentation for delivery. RESULTS: A total of 4873 patients were included in the study. The polymerase chain reaction test positivity rate was 11% (n=544). Among this group, 359 patients (66%) were asymptomatic or presymptomatic, 115 (21%) had mild or moderate coronavirus disease 2019, and 70 (13%) had severe or critical coronavirus disease 2019. On multiple logistic regression modeling, pregnant patients who had a positive test result for severe acute respiratory syndrome coronavirus 2 were more likely to be younger or of higher parity, belong to minoritized racial and ethnic groups, have public health insurance, have limited English proficiency, and reside in low-income neighborhoods with less educational attainment. On ordinal logit regression modeling, obesity, income and education were associated with coronavirus disease 2019 severity. CONCLUSION: Social and physical determinants of health play a role in determining the risk of infection. The severity of coronavirus disease 2019 illness was not associated with race or ethnicity but was associated with maternal obesity and neighborhood level characteristics such as educational attainment and household income.

Ethical challenges in management of critically ill pregnant patients with coronavirus disease 2019 (COVID-19).

Despite the overwhelming number of coronavirus disease 2019 (COVID-19) cases worldwide, data regarding the optimal clinical guidance in pregnant patients is not uniform or well established. As a result, clinical decisions to optimize maternal and fetal benefit, particularly in patients with critical COVID-19 in the early preterm period, continue to be a challenge for obstetricians. There is often uncertainty in clinical judgment about fetal monitoring, timing of delivery, and mode of delivery because of the challenge in balancing maternal and fetal interests in reducing morbidity and mortality. The obstetrician and critical care team should empower pregnant patients or their surrogate decision maker to make informed decisions in response to the team's clinical evaluation. A clinically grounded ethical framework, based on the concepts of the moral management of medical uncertainty, beneficence-based obligations, and preventive ethics, should guide the decision-making process.

Professionally responsible coronavirus disease 2019 vaccination counseling of obstetrical and gynecologic patients.

The development of coronavirus disease 2019 vaccines in the current and planned clinical trials is essential for the success of a public health response. This paper focuses on how physicians should implement the results of these clinical trials when counseling patients who are pregnant, planning to become pregnant, breastfeeding or planning to breastfeed about vaccines with government authorization for clinical use. Determining the most effective approach to counsel patients about coronavirus disease 2019 vaccination is challenging. We address the professionally responsible counseling of 3 groups of patients-those who are pregnant, those planning to become pregnant, and those breastfeeding or planning to breastfeed. We begin with an evidence-based account of the following 5 major challenges: the limited evidence base, the documented increased risk for severe disease among pregnant coronavirus disease 2019-infected patients, conflicting guidance from government agencies and professional associations, false information about coronavirus disease 2019 vaccines, and maternal mistrust and vaccine hesitancy. We subsequently provide evidence-based, ethically justified, practical guidance for meeting these challenges in the professionally responsible counseling of patients about coronavirus disease 2019 vaccination. To guide the professionally responsible counseling of patients who are pregnant, planning to become pregnant, and breastfeeding or planning to breastfeed, we explain how obstetrician-gynecologists should evaluate the current clinical information, why a recommendation of coronavirus disease 2019 vaccination should be made, and how this assessment should be presented to patients during the informed consent process with the goal of empowering them to make informed decisions. We also present a proactive account of how to respond when patients refuse the recommended vaccination, including the elements of the legal obligation of informed refusal and the ethical obligation to ask patients to reconsider. During this process, the physician should be alert to vaccine hesitancy, ask patients to express their hesitation and reasons for it, and respectfully address them. In contrast to the conflicting guidance from government agencies and professional associations, evidence-based professional ethics in obstetrics and gynecology provides unequivocal and clear guidance: Physicians should recommend coronavirus disease 2019 vaccination to patients who are pregnant, planning to become pregnant, and breastfeeding or planning to breastfeed. To prevent widening of the health inequities, build trust in the health benefits of vaccination, and encourage coronavirus disease 2019 vaccine and treatment uptake, in addition to recommending coronavirus disease 2019 vaccinations, physicians should engage with communities to tailor strategies to overcome mistrust and deliver evidence-based information, robust educational campaigns, and novel approaches to immunization.

Adherence and acceptability of telehealth appointments for high-risk obstetrical patients during the coronavirus disease 2019 pandemic.

Background: Telehealth has been successfully implemented for the delivery of obstetrical care. However, little is known regarding the attitudes and acceptability of patients and providers in high-risk obstetrics and whether the implementation of a telehealth model improves access to care in nonrural settings. Objective: This study aimed to describe patient and provider attitudes toward telehealth for the delivery of high-risk obstetrical care in a large healthcare system with both urban and suburban settings and to determine whether the implementation of a telehealth model improves patient adherence to scheduled appointments in this patient population. Study Design: Two self-administered surveys were designed. The first survey was sent to all high-risk obstetrical patients who received a telehealth visit between March 1, 2020, and May 30, 2020. The second survey was designed for providers who participated in these visits. We also compared the attended, cancelled, and no-show visit rates before (March 1 to May 30, 2019) and after (March 1 to May 30, 2020) the telehealth implementation and telehealth vs in-person visits in 2020. We reviewed scheduled high-risk prenatal care appointments, diabetes mellitus education sessions, and genetic counseling and Maternal-Fetal Medicine consultations. Results: A total of 91 patient surveys and 33 provider surveys were analyzed. Overall, 86.9% of patients were satisfied with the care they received and 78.3% would recommend telehealth visits to others. Notably, 87.8% of providers reported having a positive experience using telehealth, and 90.9% believed that telehealth improved patients' access to care. When comparing patient and provider preference regarding future obstetrical care after experiencing telehealth, 73.8% of patients desired a combination of in-person and telehealth visits during their pregnancy. However, a significantly higher rate of providers preferred in-person than telehealth visits (56% vs 23%, P=.024, respectively). When comparing visits between 2019 and 2020, there was a significantly lower rate of no-show appointments (8.49% vs 4.61%, P<.001), patient-cancelled appointments (7.06% vs 4.96%, P<.001), and patient same-day cancellations (2.30% vs 1.35%, P<.001) with the implementation of telehealth. There was also a significantly lower rate of patient-cancelled appointments (3.82% vs 5.44%, P=.021) and patient same-day cancellations (0.60% vs 1.65%, P=.002) with those receiving telehealth visits than in-person visits in 2020. Conclusion: The implementation of a telehealth model in high-risk obstetrics has the potential to improve access to high-risk obstetrical care, by reducing the rate of missed appointments. Both patients and providers surveyed expressed a high rate of satisfaction with telehealth visits and a desire to integrate telehealth into the traditional model of high-risk obstetrical care.

Histopathologic evaluation of placentas after diagnosis of maternal severe acute respiratory syndrome coronavirus 2 infection.

Background: The impact of maternal severe acute respiratory syndrome coronavirus 2 infection on placental histopathology is not well known. Objective: To determine if any significant placental histopathologic changes occur after the diagnosis of severe acute respiratory syndrome coronavirus 2 infection during pregnancy and whether these changes are correlated with the presence or absence of symptoms associated with the infection. Study Design: A retrospective cohort study of women diagnosed as having severe acute respiratory syndrome coronavirus 2 infection who delivered at a single center from April 9, 2020 to April 27, 2020, and had placental specimens reviewed by the Department of Pathology. Women with singleton gestations and laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection were eligible for inclusion. Historical controls selected from a cohort of women who delivered 6 months before the study period were matched in a 1:1 fashion by weeks of gestation at delivery. Histopathologic characteristics were evaluated in each placenta, and the incidence of these findings was compared between placentas of those who received a diagnosis of maternal severe acute respiratory syndrome coronavirus 2 infection and historical controls, and between placentas from patients with or without typical symptoms related to the infection. Statistical analyses included the use of Wilcoxon rank-sum test and Fisher's exact test for the comparison of categorical and continuous variables. Statistical significance was defined as a P value of <.05. Results: A total of 50 placentas after the diagnosis of maternal severe acute respiratory syndrome coronavirus 2 infection and 50 historical controls were analyzed. Among the placentas from patients diagnosed with severe acute respiratory syndrome coronavirus 2 infection, 3 (6%) were preterm (33 3/7, 34 6/7, and 36 6/7 weeks of gestation), 16 (32%) were from patients with typical symptoms related to the infection, and 34 (68%) were from patients without typical symptoms related to the infection. All patients had received a diagnosis of severe acute respiratory syndrome coronavirus 2 infection in the third trimester. Decidual vasculopathy was not visualized in any of the placentas from patients diagnosed as having severe acute respiratory syndrome coronavirus 2 infection. There was no statistically significant difference in placental histopathologic characteristics between the groups. Severe acute respiratory syndrome coronavirus 2 test results for all neonates at 24 hours of life were negative. Conclusion: Based on the results of this study, there are no significant placental histopathologic changes that occur after the diagnosis of severe acute respiratory syndrome coronavirus 2 infection in women during the third trimester of pregnancy compared with a gestational age-matched historical control group. Similar incidences of histopathologic findings were also discovered when comparing placentas from patients with severe acute respiratory syndrome coronavirus 2 infection with or without the presence of symptoms typically related to the infection.

Coronavirus Disease 2019 (COVID-19)-Related Multisystem Inflammatory Syndrome in a Pregnant Woman.

BACKGROUND: Recent reports have described a rare but severe complication of coronavirus disease 2019 (COVID-19) in nonpregnant adults that is associated with extrapulmonary organ dysfunction and appears to be secondary to a hyperinflammatory state. CASE: A multiparous woman at 28 weeks of gestation, diagnosed with COVID-19 4 weeks prior, was admitted with chest pain. Evaluation indicated myocarditis and marked elevations of inflammatory markers consistent with multisystem inflammatory syndrome in adults. The patient developed cardiogenic shock and required mechanical ventilation. Treatment with intravenous immunoglobulin and high-dose corticosteroids was associated with a favorable maternal and fetal outcome. CONCLUSION: Multisystem inflammatory syndrome in adults associated with COVID-19 in pregnancy is a critical illness, presenting several weeks after initial infection. Treatment with intravenous immunoglobin and corticosteroids was associated with a favorable outcome.

Early postpartum discharge during the COVID-19 pandemic.

Objectives To report our experience with early postpartum discharge to decrease hospital length of stay among low-risk puerperium patients in a large obstetrical service during the COVID-19 pandemic in New York. Methods Retrospective analysis of all uncomplicated postpartum women in seven obstetrical units within a large health system between December 8th, 2019 and June 20th, 2020. Women were stratified into two groups based on date of delivery in relation to the start of the COVID-19 pandemic in New York (Mid-March 2020); those delivering before or during the COVID-19 pandemic. We compared hospital length of stay, defined as time interval from delivery to discharge in hours, between the two groups and correlated it with the number of COVID-19 admissions to our hospitals. Statistical analysis included use of Wilcoxon rank sum test and Chi-squared test with significance defined as p-value<0.05. Results Of the 11,770 patients included, 5,893 (50.1%) delivered prior to and 5,877 (49.9%) delivered during the COVID-19 pandemic. We detected substantial shortening in postpartum hospital length of stay after vaginal delivery (34 vs. 48 h, p≤0.0001) and cesarean delivery (51 vs. 74 h, p≤0.0001) during the COVID-19 pandemic. Conclusions We report successful implementation of early postpartum discharge for low-risk patients resulting in a significantly shorter hospital stay during the COVID-19 pandemic in New York. The impact of this strategy on resource utilization, patient satisfaction and adverse outcomes requires further study.

Clinical Implications of SARS-CoV-2 Infection in the Viable Preterm Period.

OBJECTIVE: This study aimed to determine the rate of preterm birth (PTB) during hospitalization among women diagnosed with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) between 23 and 37 weeks of gestation and whether this rate differs by gestational age at diagnosis of infection. STUDY DESIGN: Retrospective, cross-sectional study of all women diagnosed with SARS-CoV-2 infection between 23 and 37 weeks of gestation within a large integrated health system from March 13 to April 24, 2020. Cases with severe fetal structural malformations detected prior to infection were excluded. Women were stratified into two groups based on gestational age at diagnosis: early preterm (230/7 to 336/7 weeks) versus late preterm (34 to 366/7 weeks). We compared the rate of PTB during hospitalization with infection between the two groups. Statistical analysis included use of Wilcoxon rank sum and Fisher exact tests, as well as a multivariable logistic regression. Statistical significance was defined as a p-value <0.05. RESULTS: Of the 65 patients included, 36 (53.7%) were diagnosed in the early preterm period and 29 (46.3%) were diagnosed in the late preterm period. Baseline demographics were similar between groups. The rate of PTB during hospitalization with infection was significantly lower among women diagnosed in the early preterm period compared with late preterm (7/36 [19.4%] vs. 18/29 [62%], p-value = 0.001). Of the 25 patients who delivered during hospitalization with infection, the majority were indicated deliveries (64%, 16/25). There were no deliveries <33 weeks of gestation for worsening coronavirus disease 2019 and severity of disease did not alter the likelihood of delivery during hospitalization with SARS-CoV-2 infection (adjusted odds ratio [aOR]: 0.64; 95% confidence interval [CI]: 0.24-1.59). Increased maternal age was associated with a lower likelihood of delivery during hospitalization with SARS-CoV-2 infection (aOR: 0.77; 95% CI: 0.58-0.96), while later gestational age at diagnosis of infection was associated with a higher likelihood of delivery during hospitalization (aOR: 2.9; 95% CI: 1.67-8.09). CONCLUSION: The likelihood of PTB during hospitalization with SARS-CoV-2 infection is significantly lower among women diagnosed in the early preterm period compared with late preterm. Most women with SARS-CoV-2 infection in the early preterm period recovered and were discharged home. The majority of PTB were indicated and not due to spontaneous preterm labor. KEY POINTS: · Preterm delivery is less likely among women diagnosed in the early preterm compared with late preterm.. · Most women infected in the early preterm period recovered and were discharged home undelivered.. · The majority of preterm birth were indicated and not due to spontaneous preterm labor..