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UnknownPredicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study.

Background

Pregnant people are particularly vulnerable to SARS-CoV-2 infection and to ensuing severe illness. Predicting adverse maternal and perinatal outcomes could aid clinicians in deciding on hospital admission and early initiation of treatment in affected individuals, streamlining the ...
S-EPMC10394879 | biostudies-literature
UnknownAssociation of SARS-CoV-2 Infection During Pregnancy With Maternal and Perinatal Outcomes.

Importance

There are limited high-quality, population-level data about the effect of SARS-CoV-2 infection on pregnancy using contemporaneous comparator cohorts.

Objectives

To describe maternal and perinatal outcomes associated with SARS-CoV-2 infection in pregnancy and to assess varia...
S-EPMC9062768 | biostudies-literature
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