Higher severe acute respiratory syndrome coronavirus 2 infection rate in pregnant patients.
Ontology highlight
ABSTRACT:
SUBMITTER: Lokken EM
PROVIDER: S-EPMC7884918 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature
Publications
Higher severe acute respiratory syndrome coronavirus 2 infection rate in pregnant patients.
Lokken Erica M EM Taylor G Gray GG Huebner Emily M EM Vanderhoeven Jeroen J Hendrickson Sarah S Coler Brahm B Sheng Jessica S JS Walker Christie L CL McCartney Stephen A SA Kretzer Nicole M NM Resnick Rebecca R Kachikis Alisa A Barnhart Nena N Schulte Vera V Bergam Brittany B Ma Kimberly K KK Albright Catherine C Larios Valerie V Kelley Lori L Larios Victoria V Emhoff Sharilyn S Rah Jasmine J Retzlaff Kristin K Thomas Chad C Paek Bettina W BW Hsu Rita J RJ Erickson Anne A Chang Andrew A Mitchell Timothy T Hwang Joseph K JK Gourley Rebecca R Erickson Stephen S Delaney Shani S Kline Carolyn R CR Archabald Karen K Blain Michela M LaCourse Sylvia M SM Adams Waldorf Kristina M KM
American journal of obstetrics and gynecology 20210216 1
<h4>Background</h4>During the early months of the coronavirus disease 2019 pandemic, risks associated with severe acute respiratory syndrome coronavirus 2 in pregnancy were uncertain. Pregnant patients can serve as a model for the success of clinical and public health responses during public health emergencies as they are typically in frequent contact with the medical system. Population-based estimates of severe acute respiratory syndrome coronavirus 2 infections in pregnancy are unknown because ...[more]
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Project description:ObjectiveWe examined the relationship between trimester of SARS-CoV-2 infection, illness severity, and risk for preterm birth.Study designWe analyzed data for 6336 pregnant persons with SARS-CoV-2 infection in 2020 in the United States. Risk ratios for preterm birth were calculated for illness severity, trimester of infection, and illness severity stratified by trimester of infection adjusted for age, selected underlying medical conditions, and pregnancy complications.ResultPregnant persons with critical COVID-19 or asymptomatic infection, compared to mild COVID-19, in the second or third trimester were at increased risk of preterm birth. Pregnant persons with moderate-to-severe COVID-19 did not show increased risk of preterm birth in any trimester.ConclusionCritical COVID-19 in the second or third trimester was associated with increased risk of preterm birth. This finding can be used to guide prevention strategies, including vaccination, and inform clinical practices for pregnant persons.
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Project description:BackgroundSince coronavirus disease 2019 vaccines have been distributed, a debate has raised on whether pregnant women should get the vaccine. No available data exist so far regarding the safety, efficacy, and toxicology of these vaccines when administered during pregnancy. Most of the Obstetrics and Gynecology societies suggested that pregnant could agree to be vaccinated, after a thorough counseling of risks and benefits with their gynecologists, thus leading to an autonomous decision.ObjectiveThis study aimed to evaluate the attitude to coronavirus disease 2019 vaccination in pregnant and breastfeeding women in Italy.Study designA survey was made at the University of Naples Federico II and the Ospedale Cristo Re, Tor Vergata University of Rome, on pregnant and breastfeeding women asking their perspectives on the available vaccines after reading the recommendations issued by our national Obstetrics, Gynecology, and Neonatology societies. The questionnaire included 12 items finalized to evaluate general features of the women and 6 items specifically correlated to their attitudes toward the severe acute respiratory syndrome coronavirus 2 vaccination. Chi-square or Fisher's exact tests were used to compare group differences of categorical variables and Wilcoxon signed rank or Mann-Whitney U test for continuous variables. The study was approved by the institutional review boards of the University of Naples Federico II (ref. no. 409/2020) and the Ospedale Cristo Re, Tor Vergata University of Rome (ref. #Ost4-2020).ResultsMost of the included women did not agree to eventually receive severe acute respiratory syndrome coronavirus 2 vaccine during pregnancy (40 [28.2%] vs 102 [71.8%]). Being pregnant was considered a determinant factor to refuse the vaccine prophylaxis (99 [69.7%] vs 43 [30.3%]; chi-square test=24.187; P<.001), even if a very large percentage declared to be generally in favor of vaccines (128 [90.1%] vs 14 [9.9%]; chi-square test=6.091; P=.014) and most of them confirmed they received or would receive other recommended vaccines during pregnancy (75 [52.8%] vs 67 [47.2%]; chi-square test=10.996; P=.001).ConclusionUrgent data are needed on the safety, efficacy, and toxicology of severe acute respiratory syndrome coronavirus 2 vaccines during pregnancy to modify this trend and to help obstetricians during the counseling. Furthermore, pregnant women should be included in future vaccine development trials to not incur again in such uncertainty.
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2022-03-01 | GSE193555 | GEO
Project description:Since the 2009 influenza pandemic, the Netherlands has used a weekly death monitoring system to estimate deaths in excess of expectations. We present estimates of excess deaths during the ongoing coronavirus disease (COVID-19) epidemic and 10 previous influenza epidemics. Excess deaths per influenza epidemic averaged 4,000. The estimated 9,554 excess deaths (41% in excess) during the COVID-19 epidemic weeks 12-19 of 2020 appeared comparable to the 9,373 excess deaths (18%) during the severe influenza epidemic of 2017-18. However, these deaths occurred in a shorter time, had a higher peak, and were mitigated by nonpharmaceutical control measures. Excess deaths were 1.8-fold higher than reported laboratory-confirmed COVID-19 deaths (5,449). Based on excess deaths and preliminary results from seroepidemiologic studies, we estimated the infection-fatality rate to be 1%. Monitoring of excess deaths is crucial for timely estimates of disease burden for influenza and COVID-19. Our data complement laboratory-confirmed COVID-19 death reports and enable comparisons between epidemics.
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