Objective: To determine the cut-off point of the uterine height (UH) to predict hypotrophy using ROC curve.

Material And Methods: This study was conducted in the Departement de Gynécologie-Obstétrique du CHU-Tokoin. It included 883 pregnant women; delivrance issued in an unique fetus in longitudinal position. Studied variables were UH in the labor room and the birth weight. Children with birth weight less than the 10th percentile were considered to be hypotrophic. An UH value less than the positivity cut-off point was considered positive while a superior value was negative. Performance to predict hypotrophy was expressed in terms of sensitivity, specificity, predictive values. Using ROC curve, we tried to determine the best cut-off point for the UH.

Results: In our study, 87 newborn (9.9%) were hypotrophic. UH at 32 cm helps in the best screening of hypotrophy (Sensitivity 70.1%, Specificity 67.2%, PPV 18.9%, NPV 95.4%).

Conclusion: Hypotrophy can be suspected with a UH less than 32 cm.

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