Temporal Trend in SARS-CoV-2 Symptoms in Pregnant Women.

OBJECTIVE: The objective of this study was to examine temporal trends in the clinical presentation of patients diagnosed with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in pregnancy. STUDY DESIGN: This is a retrospective cohort study of pregnant women who were universally screened for SARS-CoV-2 and tested positive. This multi-center study of admissions to labor and delivery units in New York City and Long Island included all SARS-CoV-2-infected pregnant women admitted to labor and delivery units between April 10th and June 4th 2020. Six Northwell Health hospitals and Maimonides Medical Center were included in the study. The main measures of the study included patient reports of COVID-19 symptoms: fever, cough, chest pain, shortness of breath, nausea, vomiting, and intensive care unit (ICU) admissions. The main outcome measure was the percentage of all infected women who reported any of the above symptoms. RESULTS: In total, 427 infected pregnant women were included in the study. There was a statistically significant decline in the percentage of patients presenting with any symptoms over the course of the study. In addition, disease severity, symptoms of fever, cough, and chest pain/shortness of breath also significantly declined over time, and no ICU admissions were noted after the third week of April. CONCLUSION: There was a temporal shift away from symptomatic presentation in pregnant women diagnosed with SARS-CoV-2 over the course of the first months of the epidemic in New York. Further studies are necessary to elucidate the cause of this change in presentation among pregnant women, to determine whether this trend is also observed in other patient populations. KEY POINTS: · Retrospective cohort review of 427 SARS-CoV-2-infected pregnant women admitted to labor and delivery units.. · A significant decline in the percentage of patients presenting with symptoms over time was noted.. · Further studies are necessary to elucidate the cause of this change in presentation.. · Theories for the noted trend: viral evolution, decreased viral inoculums, and prolonged polymerase chain reaction positivity..

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.

Fetal Lung Echo Texture in Pregnancies at Risk for Pulmonary Hypoplasia.

Pulmonary hypoplasia is associated with severe respiratory distress immediately after birth and frequently leads to neonatal death. In this study, we compared the fetal lung echo texture in pregnancies at high and low risk for pulmonary hypoplasia. Ultrasonic tissue heterogeneity was determined by a dynamic range calculation. This quantification uses a dithering technique based on the Floyd-Steinberg algorithm, in which the pixels are transformed into a binary map. Pregnancies at high risk for pulmonary hypoplasia showed decreased fetal lung heterogeneity on ultrasound imaging. This image-processing technique may allow improved risk stratification, patient counseling, and treatment approaches for pulmonary hypoplasia.