An internally validated prediction model for critical COVID-19 infection and intensive care unit admission in symptomatic pregnant women.

Kalafat, ERKAN; Prasad, Smriti; Birol, Pinar; Tekin, Arzu; Kunt, Atilla; Di Fabrizio, Carolina; Alatas, Cengiz; Celik, Ebru; Bagci, Helin; Binder, Julia; Le Doare, Kirsty; Magee, Laura; Mutlu, Memis; Yassa, Murat; Tug, Niyazi; Sahin, Orhan; Krokos, Panagiotis; O'brien, Pat; von Dadelszen, Peter; Palmrich, Pilar; Papaioannou, George; Ayaz, Reyhan; Ladhani, Shamez; Kalantaridou, Sophia; Mihmanli, Veli; Khalil, Asma

doi:10.1016/j.ajog.2021.09.024

An internally validated prediction model for critical COVID-19 infection and intensive care unit admission in symptomatic pregnant women.

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Kalafat E., Prasad S., Birol P., Tekin A. B., Kunt A., Di Fabrizio C., ...More

American journal of obstetrics and gynecology, vol.226, 2022 (SCI-Expanded)

Publication Type: Article / Article
Volume: 226
Publication Date: 2022
Doi Number: 10.1016/j.ajog.2021.09.024
Journal Name: American journal of obstetrics and gynecology
Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Periodicals Index Online, ATLA Religion Database, BIOSIS, CAB Abstracts, CINAHL, EMBASE, Gender Studies Database, International Pharmaceutical Abstracts, MEDLINE, Veterinary Science Database
Keywords: calibration, prediction, pregnancy, risk estimation, SARS-CoV-2, vaccination, SARS-COV-2 INFECTION, RISK, DEATH
Middle East Technical University Affiliated: Yes

Abstract

BACKGROUND: Pregnant women are at an increased risk of mortality and morbidity owing to COVID-19. Many studies have reported on the association of COVID-19 with pregnancy-specific adverse outcomes, but prediction models utilizing large cohorts of pregnant women are still lacking for estimating the risk of maternal morbidity and other adverse events.