Prediction of Preterm Birth among Infants with Orofacial Cleft Defects.

Autor:	Ludorf KL; Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, TX, USA., Benjamin RH; Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, TX, USA., Canfield MA; Texas Department of State Health Services, Birth Defects Epidemiology and Surveillance Branch, Austin, TX, USA., Swartz MD; Department of Biostatistics, UTHealth School of Public Health, Houston, TX, USA., Agopian AJ; Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, TX, USA.
Jazyk:	angličtina
Zdroj:	The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association [Cleft Palate Craniofac J] 2023 Sep 06, pp. 10556656231198945. Date of Electronic Publication: 2023 Sep 06.
DOI:	10.1177/10556656231198945
Abstrakt:	Objective: To develop risk prediction models for preterm birth among infants with orofacial clefts. Design: Data from the Texas Birth Defects Registry for infants with orofacial clefts born between 1999-2014 were used to develop preterm birth predictive models. Logistic regression was used to consider maternal and infant characteristics, and internal validation of the final model was performed using bootstrapping methods. The area under the curve (AUC) statistic was generated to assess model performance, and separate predictive models were built and validated for infants with cleft lip and cleft palate alone. Several secondary analyses were conducted among subgroups of interest. Setting: State-wide, population-based Registry data. Patients/participants: 6774 infants with orofacial clefts born in Texas between 1999-2014. Main Outcome Measure(s): Preterm birth among infants with orofacial clefts. Results: The final predictive model performed modestly, with an optimism-corrected AUC of 0.67 among all infants with orofacial clefts. The optimism-corrected models for cleft lip (with or without cleft palate) and cleft palate alone had similar predictive capability, with AUCs of 0.66 and 0.67, respectively. Secondary analyses had similar results, but the model among infants with delivery prior to 32 weeks demonstrated higher optimism-corrected predictive capability (AUC = 0.74). Conclusions: This study provides a first step towards predicting preterm birth risk among infants with orofacial clefts. Identifying pregnancies affected by orofacial clefts at the highest risk for preterm birth may lead to new avenues for improving outcomes among these infants.
Databáze:	MEDLINE
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