Predicting risk of maternal critical care admission in Scotland: Development of a risk prediction model.

ABSTRACT:

Background

Identifying women at highest or lowest risk of perinatal intensive care unit (ICU) admission may enable clinicians to risk stratify women antenatally so that enhanced care or elective admission to ICU may be considered or excluded in birthing plans. We aimed to develop a statistical model to predict the risk of maternal ICU admission.

Methods

We studied 762,918 pregnancies between 2005 and 2018. Predictive models were constructed using multivariable logistic regression. The primary outcome was ICU admission. Additional analyses were performed to allow inclusion of delivery-related factors. Predictors were selected following expert consultation and reviewing literature, resulting in 13 variables being included in the primary analysis: demographics, prior health sta

SUBMITTER: Cowan LM 

PROVIDER: S-EPMC11758435 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature