دورية أكاديمية

The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study

التفاصيل البيبلوغرافية
العنوان: The effect of maternal SARS-CoV-2 infection timing on birth outcomes: a retrospective multicentre cohort study
المؤلفون: Samantha N Piekos, PhD, Ryan T Roper, MS, Yeon Mi Hwang, BS, Tanya Sorensen, MD, Nathan D Price, ProfPhD, Leroy Hood, ProfPhD, Jennifer J Hadlock, MD
المصدر: The Lancet: Digital Health, Vol 4, Iss 2, Pp e95-e104 (2022)
بيانات النشر: Elsevier, 2022.
سنة النشر: 2022
المجموعة: LCC:Computer applications to medicine. Medical informatics
مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7
الوصف: Summary: Background: The impact of maternal SARS-CoV-2 infection remains unclear. In this study, we evaluated the risk of maternal SARS-CoV-2 infection on birth outcomes and how this is modulated by the pregnancy trimester in which the infection occurs. We also developed models to predict gestational age at delivery for people following a SARS-CoV-2 infection during pregnancy. Methods: We did a retrospective cohort study of the impact of maternal SARS-CoV-2 infection on birth outcomes. We used clinical data from Providence St Joseph Health electronic health records for pregnant people who delivered in the USA at the Providence, Swedish, or Kadlec sites in Alaska, California, Montana, Oregon, or Washington. The SARS-CoV-2 positive cohort included people who had a positive SARS-CoV-2 PCR-based test during pregnancy, subdivided by trimester of infection. No one in this cohort had been vaccinated for COVID-19 at time of infection. The SARS-CoV-2 negative cohort were people with at least one negative SARS-CoV-2 PCR-based test and no positive tests during pregnancy. Cohorts were matched on common covariates impacting birth outcomes, and univariate and multivariate analysis were done to investigate risk factors and predict outcomes. The primary outcome was gestational age at delivery with annotation of preterm birth classification. We trained multiple supervised learning models on 24 features of the SARS-CoV-2 positive cohort to evaluate performance and feature importance for each model and discuss the impact of SARS-CoV-2 infection on gestational age at delivery. Findings: Between March 5, 2020, and July 4, 2021, 73 666 pregnant people delivered, 18 335 of whom had at least one SARS-CoV-2 test during pregnancy before Feb 14, 2021. We observed 882 people infected with SARS-CoV-2 during their pregnancy (first trimester n=85; second trimester n=226; and third trimester n=571) and 19 769 people who have never tested positive for SARS-CoV-2 and received at least one negative SARS-CoV-2 test during their pregnancy. SARS-CoV-2 infection indicated an increased risk of preterm delivery (p
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2589-7500
Relation: http://www.sciencedirect.com/science/article/pii/S2589750021002508; https://doaj.org/toc/2589-7500
DOI: 10.1016/S2589-7500(21)00250-8
URL الوصول: https://doaj.org/article/4d9ef750d5b548068fec875f73d2e68b
رقم الأكسشن: edsdoj.4d9ef750d5b548068fec875f73d2e68b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:25897500
DOI:10.1016/S2589-7500(21)00250-8