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.

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..

Nosocomial COVID-19 infection in women undergoing elective cesarean delivery: a prospective cohort study.

BACKGROUND: The COVID-19 pandemic placed obstetricians in a difficult position of continuing to perform elective cesarean delivery without the knowledge of the risk of the spread of nosocomial infection of the COVID-19 virus. OBJECTIVE: This study aimed to determine the nosocomial infection rate in women undergoing elective cesarean delivery at 2 academic institutions. STUDY DESIGN: This nonrandomized prospective cohort trial evaluated patients undergoing elective cesarean delivery during the reopening phase of the COVID-19 pandemic in the state of New York at 2 large volume labor and delivery units. Eligible patients with a negative preoperative reverse transcriptase-polymerase chain reaction test and immunoglobulin G antibody test for COVID-19 were retested 6 to 9 days after discharge. The primary objective was the COVID-19 test conversion rate defined as a positive polymerase chain reaction test for SARS-CoV-2 after discharge with a negative preoperative test. This was used as a proxy for the nosocomial infection rate. RESULTS: A total of 136 patients were screened for participation. Of these patients, 2 tested positive for COVID-19 on preoperative testing, and 25 declined to participate. Overall, 111 patients consented to participate, and 96 patients underwent both preoperative and postoperative testing. No patient with a negative polymerase chain reaction test preoperatively, had a positive polymerase chain reaction test for the COVID-19 virus postoperatively. CONCLUSION: With strict and methodical perioperative and postpartum protocols, we can limit nosocomial COVID-19 infection in women undergoing elective cesarean delivery.

Virtual obstetrics and gynecology fellowship interviews during the coronavirus disease 2019 (COVID-19) pandemic: a survey study.

BACKGROUND: Due to the coronavirus disease 2019 (COVID-19) pandemic, all Obstetrics and Gynecology fellowship interviews were held virtually for the 2020 fellowship match cycle. The aim of this study was to describe our initial experience with virtual Obstetrics and Gynecology fellowship interviews and evaluate its effectiveness in assessing candidates. METHODS: This was a cross-sectional survey study that included all interviewing attending physicians and fellows from five Obstetrics and Gynecology subspecialties at a single academic institution following the 2020-2021 fellowship interview season. The survey consisted of 19 questions aimed to evaluate each subspecialty's virtual interview process, including its feasibility and performance in evaluating applicants. The primary outcome was the subjective utility of virtual interviews. Secondary outcomes included a comparison of responses from fellows and attending physicians. RESULTS: Thirty-six attendings and fellows completed the survey (36/53, 68% response rate). Interviewers felt applicants were able to convey themselves adequately during the virtual interview (92%) and the majority (70%) agreed that virtual interviews should be offered in future years. Attending physicians were more likely than fellows to state that the virtual interview process adequately assessed the candidates (Likert Scale Mean: 4.4 vs. 3.8, respectively, p = 0.02). Respondents highlighted decreased cost, time saved, and increased flexibility as benefits to the virtual interview process. CONCLUSION: The use of virtual interviews provides a favorable method for conducting fellowship interviews and should be considered for use in future application cycles. Most respondents were satisfied with the virtual interview process and found they were an effective tool for evaluating applicants.

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.

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.

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..