Publications by authors named "Megan E Trostle"

Multisystem inflammatory syndrome in children (MIS-C), a new condition related to coronavirus disease 2019 (COVID-19) in the pediatric population, was recognized by physicians in the United Kingdom in April 2020. Given those up to the age of 21 years can be affected, pregnant adolescents and young adults are susceptible. However, there is scant information on how MIS-C may affect pregnancy and whether the presentation differs in the pregnant population.

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Objective: This study aimed to evaluate the rates of vaccination against infectious diseases (Tetanus, Diphtheria, and Pertussis [Tdap] and influenza) in pregnancy during the coronavirus disease 2019 (COVID-19) pandemic compared to contemporary historical controls.

Study Design: This was a retrospective cohort study comparing rates of Tdap and influenza vaccination in pregnant people who received care at NYU Langone Health and delivered from September 1, 2020, to January 31, 2021 ("COVID cohort") to the same period the prior year ("2019 cohort"). Demographic information, trimester of initiation of prenatal care, insurance status, and medical comorbidities were evaluated.

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Background: Quarantining and isolation during previous pandemics have been associated with higher levels of depression symptomatology. Studies in other countries found elevated rates of anxiety and/or depression among pregnant people during the COVID-19 pandemic compared with prepandemic rates. New York City was the initial epicenter of the pandemic in the United States, and the effects of the pandemic on perinatal depression in this population are not well known.

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Objectives: To examine the relationship between postpartum depression (PPD), mode of delivery (MOD), and indication for unscheduled cesarean delivery (uCD).

Methods: Patients with antenatal and postpartum Edinburgh Postnatal Depression Scale (EPDS) scores were compared by MOD and indication for uCD if applicable. Patients with an antenatal EPDS>12 were excluded to ascertain the incidence of new depression.

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Background/objective: SARS-CoV-2 continues to spread widely in the US and worldwide. Pregnant women are more likely to develop severe or critical illness than their non-pregnant counterparts. Known risk factors for severe and critical disease outside of pregnancy, such as asthma, diabetes, and obesity have not been well-studied in pregnancy.

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Objective: Pregnant women are at increased risk for morbidity owing to infection with the COVID-19 virus. Vaccination presents an important strategy to mitigate illness in this population. However, there is a paucity of data on vaccination safety and pregnancy outcomes because pregnant women were excluded from the initial phase III clinical trials.

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During the coronavirus disease 2019 (COVID-19) pandemic in New York City, telehealth was rapidly implemented for obstetric patients. Though telehealth for prenatal care is safe and effective, significant concerns exist regarding equity in access among low-income populations. We performed a retrospective cohort study evaluating utilization of telehealth for prenatal care in a large academic practice in New York City, comparing women with public and private insurance.

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Objectives We describe a standardized, scalable outpatient surveillance model for pregnant women with COVID-19 with several objectives: (1) to identify and track known, presumed, and suspected COVID-positive pregnant patients both during their acute illness and after recovery, (2) to regularly assess patient symptoms and escalate care for those with worsening disease while reducing unnecessary hospital exposure for others, (3) to educate affected patients on warning symptoms, hygiene, and quarantine recommendations, and (4) to cohort patient care, isolating stable infected patients at home and later within the same physical clinic area upon their return to prenatal care. Methods Pregnant women in an urban public hospital system with presumed or confirmed COVID-19 were added to a list in our electronic medical record as they came to the attention of providers. They received a series of phone calls based on their illness severity and were periodically assessed until deemed stable.

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