Vesicoureteral Reflux and Urinary Tract Infection

Article DOIhttps://doi.org/10.1097/JU.0000000000000186
ObjectiveTo predict the probability of recurrent UTI and associated VUR after initial UTI, but before VCUG
AI ApproachOptimal classification trees, random forest, gradient-boosted trees
Data Source(s)Multi-institutional trial dataset (RIVUR,
305 patients; CUTIE, 195 patients)
Model InputAge, age, gender, race, weight, antibiotic resistance in urine culture, urine protein, dysuria, medications, antibiotics in last 6 months, blood pressure
Model OutcomeVUR-associated recurrent UTI
Model MetricsAUROC = 0.76
Model UsabilityEasily accessible decision trees, freely accessible GitHub and available mobile application (Appendix 5)
AI = Artificial intelligence, AUROC = Area under the receiver operator characteristic, VUR = Vesicoureteral Reflux

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