29Nov 2023
Nomogram Developed in Ethiopia for Predicting Low Birth Weight among Pregnant Women who had Antenatal Care Visits

Nomogram Developed in Ethiopia for Predicting Low Birth Weight among Pregnant Women who had Antenatal Care Visits

A recent study aims to predict low birth weight by developing and validating a nomogram, utilizing variables like gestational age, haemoglobin levels, primigravida status, unplanned pregnancies, and preeclampsia. Based on a binary logistic model, the nomogram exhibited an AUROC of 84.3% and 80.1% internal validation. With strong discrimination performance and clinical benefit, the nomogram provides a rapid, personalized prediction tool for clinicians, aiding early identification and intervention.

  • #gynaecology - ivf

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