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., ...Daha Fazla

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

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 226
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.ajog.2021.09.024
  • Dergi Adı: American journal of obstetrics and gynecology
  • Derginin Tarandığı İndeksler: 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
  • Anahtar Kelimeler: calibration, prediction, pregnancy, risk estimation, SARS-CoV-2, vaccination, SARS-COV-2 INFECTION, RISK, DEATH
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.