Garbhini-GA2 model improves preterm birth predictions in India

 

Researchers have developed and validated the Garbhini-GA2 model, a population-specific algorithm designed to estimate gestational age (GA) more accurately for Indian women during the second and third trimesters. Historically, Indian obstetric care has relied on the Hadlock model, which is based on Western Caucasian populations and often miscalculates dates due to ethnic differences in fetal biometry. The new study indicates that Garbhini-GA2 reduces estimation errors by 23-45% compared to existing global standards, addressing a critical gap in antenatal care.
The implications for managing preterm birth (PTB) are profound. In low- and middle-income countries where women often present late for antenatal care, accurate dating is essential for distinguishing between preterm and growth-restricted fetuses. By utilizing standard biometric markers—such as biparietal diameter and femur length—calibrated specifically for the Indian phenotype, this model enhances the precision of PTB diagnosis. This advancement promises to improve clinical decision-making, ensuring that interventions for preterm labor are administered to the patients who genuinely need them.

Read the original article at: https://www.medrxiv.org/content/10.1101/2021.10.02.21264450v1



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