Building a predictive model of low birth weight in low- and middle-income countries: a prospective cohort study.

ABSTRACT:

Background

Low birth weight (LBW, < 2500 g) infants are at significant risk for death and disability. Improving outcomes for LBW infants requires access to advanced neonatal care, which is a limited resource in low- and middle-income countries (LMICs). Predictive modeling might be useful in LMICs to identify mothers at high-risk of delivering a LBW infant to facilitate referral to centers capable of treating these infants.

Methods

We developed predictive models for LBW using the NICHD Global Network for Women's and Children's Health Research Maternal and Newborn Health Registry. This registry enrolled pregnant women from research sites in the Democratic Republic of the Congo, Zambia, Kenya, Guatemala, India (2 sites: Belagavi, Nagpur), Pakistan, and Bangladesh between Januar

SUBMITTER: Patterson JK 

PROVIDER: S-EPMC10464177 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature