Development of a diagnostic prediction model for newborns with G6PD deficiency
Objective To identify newborns with G6PD deficiency and improve screening strategies.Methods This study is an observational case-control study.From January 1,2022,to December 31,2022,newborns with G6PD deficiency undergoing G6PD screening at the Newborn Disease Screening Center in Sichuan Province were consecutively included as the study population.A 1∶4 matching with control subjects was performed using propensity score matching(PSM),and the dataset was split into a training set and a validation set.Single-factor and multiple-factor regression analyses were conducted on the training set to determine the final model.The predictive model was comprehensively evaluated for discrimination,calibration,applicability,and reasonableness.The model information was then applied to the validation set to assess its rigor and stability.A Nomogram graph was used to visualize the model.Results A total of 640 subjects were included,with 448 in the training set and 192 in the validation set.Single-factor and multiple-factor Logistic regression showed that the diagnostic prediction model for newborn G6PD deficiency included factors such as breastfeeding,male gender,Hb levels,and a history of anemia(P＜0.05).The training set predictive model demonstrated good discrimination,calibration,applicability,and reasonableness across all four dimensions.Internal validation using the validation set showed good discrimination and calibration,with acceptable ap-plicability and reasonableness.The allocation scores and trends in the Nomogram graphs for the validation set were similar to those of the training set.Conclusion This study has developed a diagnostic prediction model for newborn G6PD deficiency,which reliably identifies high-risk newborns.
G6PDneonatescreeningcase-controldiagnostic predictive model
万方数据
维普
