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Selecting Children with Vesicoureteral Reflux Who are Most Likely to Benefit from Antibiotic Prophylaxis: Application of Machine Learning to RIVUR.
Bertsimas, Dimitris; Li, Michael; Estrada, Carlos; Nelson, Caleb; Scott Wang, Hsin-Hsiao.
Afiliação
  • Bertsimas D; Operations Research Center, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Li M; Operations Research Center, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Estrada C; Department of Urology, Boston Children's Hospital (Advanced Analytics Group of Pediatric Urology), Boston, Massachusetts.
  • Nelson C; Department of Urology, Boston Children's Hospital (Advanced Analytics Group of Pediatric Urology), Boston, Massachusetts.
  • Scott Wang HH; Department of Urology, Boston Children's Hospital (Advanced Analytics Group of Pediatric Urology), Boston, Massachusetts.
J Urol ; 205(4): 1170-1179, 2021 04.
Article em En | MEDLINE | ID: mdl-33289598
ABSTRACT

PURPOSE:

Continuous antibiotic prophylaxis reduces the risk of recurrent urinary tract infection by 50% in children with vesicoureteral reflux. However, there may be subgroups in whom continuous antibiotic prophylaxis could be used more selectively. We sought to develop a machine learning model to identify such subgroups. MATERIALS AND

METHODS:

We used RIVUR data, randomly split into train/test in a 41 ratio. Two models were developed to predict recurrent urinary tract infection risk in scenario with and without continuous antibiotic prophylaxis. The test set was then used to validate recurrent urinary tract infection events and the effectiveness of continuous antibiotic prophylaxis. Predicted probabilities of recurrent urinary tract infection were generated from each model. Continuous antibiotic prophylaxis was assigned at various cutoffs of recurrent urinary tract infection risk reduction to evaluate continuous antibiotic prophylaxis effectiveness.

RESULTS:

A total of 607 patients (558 female/49 male, median age 12 months) were included. Predictors included vesicoureteral reflux grade, serum creatinine, race/gender, prior urinary tract infection symptoms (fever/dysuria) and weight percentiles. The AUC of the prediction model of recurrent urinary tract infection (continuous antibiotic prophylaxis/placebo) was 0.82 (95% CI 0.74-0.87). Using 10% recurrent urinary tract infection risk reduction cutoff, minimal recurrent urinary tract infection per population level can be achieved by giving continuous antibiotic prophylaxis to 40% of patients with vesicoureteral reflux instead of everyone. In a test set (121), 51 patients had continuous antibiotic prophylaxis randomization consistent with model recommendation (continuous antibiotic prophylaxis if recurrent urinary tract infection risk reduction >10%). Recurrent urinary tract infection incidence was significantly lower among this group compared to those whose continuous antibiotic prophylaxis assignment differed from model suggestion (7.5% vs 19.4%, p=0.037).

CONCLUSIONS:

Our predictive model identifies patients with vesicoureteral reflux who are more likely to benefit from continuous antibiotic prophylaxis, which would allow more selective, personalized use of continuous antibiotic prophylaxis with maximal benefit, while minimizing use in those with least need.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Urinárias / Refluxo Vesicoureteral / Seleção de Pacientes / Antibioticoprofilaxia / Aprendizado de Máquina Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Female / Humans / Infant / Male Idioma: En Revista: J Urol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Urinárias / Refluxo Vesicoureteral / Seleção de Pacientes / Antibioticoprofilaxia / Aprendizado de Máquina Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Female / Humans / Infant / Male Idioma: En Revista: J Urol Ano de publicação: 2021 Tipo de documento: Article