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Purpose: Data are scarce regarding dietary risk factors for pediatric nephrolithiasis. Our objective was to perform a case-control study (nonmatched) of the association of dietary nutrients with pediatric urolithiasis., Materials and Methods: We obtained dietary information from pediatric urolithiasis patients (from stone clinic in 2013-2016) and healthy controls (well-child visit at primary care in 2011-2012). Survey results were converted to standard nutrient intakes. Children younger than 5 years of age and those with extreme calorie intake values (<500 or >5,000 kcal/day) were excluded. The association of individual nutrients with urolithiasis was assessed by bivariate analysis results and machine-learning methods. A multivariable logistic regression model was fitted using urolithiasis as the outcome., Results: We included 285 patients (57 stones/228 controls). Mean±SD age was 8.9±3.6 years (range 5-20). Of the patients 47% were male. After adjusting for age, sex, body mass index (obese/overweight/normal), calorie intake and oxalate, urolithiasis was associated with higher dietary sodium (OR=2.43 [95% CI=1.40-4.84] per quintile increase, p=0.004), calcium (OR=1.73 [95% CI=1.07-3.00] per quintile increase, p=0.034) and beta carotene (OR=2.01 [95% CI=1.06-4.18] per quintile increase, p=0.042), and lower potassium (OR=0.31 [95% CI=0.13-0.63] per quintile increase, p=0.003). Sensitivity analysis was performed by removing oxalate from the model and limiting the sample to patients aged 5-13 years, with similar results., Conclusions: In our cohort, higher dietary intake of calcium, sodium and beta carotene, and lower potassium intake were associated with pediatric urolithiasis. This is the first study using a detailed dietary survey to identify dietary risk factors for pediatric urolithiasis. Further research is warranted to delineate the mechanisms and to generate a lower risk diet profile for pediatric urolithiasis.

Introduction: Ambulatory appointments are typically scheduled in fixed increments, resulting in suboptimal time utilization. Advanced analytics are rarely applied to address operational challenges in health care. We sought to develop a machine learning model that predicts the time pediatric urologists require to create a more efficient clinic schedule., Methods: We prospectively collected data from January to April 2018. Variables included demographics and visit level covariates. The primary outcome was defined as in-room doctor time spent. Univariate analysis was performed. Data were split into train/test in a 4:1 ratio. Separate models using random forest were created for new and return visits. Two out-of-sample clinic days were used to compare the patient wait time between fixed-time visits and machine learning model. Patient punctuality simulation was performed 1,000 times for each day., Results: A total of 256 visits (113 new/143 return) were included. Mean age at visit was 6.47 years. In univariate analysis, longer visits were significantly associated with new patients (p <0.01), testing (p <0.01), older patients and diagnoses like voiding dysfunction and neurogenic bladder. Conversely, morning clinic, previous urological surgery (p <0.01), recent postoperation (p <0.01) and diagnoses like penile complaints and hydrocele were associated with shorter visits. On average, our machine learning model predicted doctor time accurately to 3.6 (new patients) and 5.0 minutes (returning patients). In 1,000 simulated days with random patient punctuality machine learning reduced the wait time by 24% to 54%., Conclusions: Pediatric urologists' clinic time can be accurately predicted with machine learning models. This insight can be incorporated into a robust scheduling model to minimize patient wait time, increase clinical efficiency and likely improve family satisfaction.

Purpose: Although shock wave lithotripsy has long been considered the gold standard for treatment of kidney stones in children, ureteroscopy has become increasingly common. The factors determining procedure choice at individual centers are unclear. We sought to identify patient and hospital factors associated with the choice between shock wave lithotripsy and ureteroscopy., Materials and Methods: We searched the Pediatric Health Information System hospital database to identify patients with renal calculi who underwent inpatient or outpatient shock wave lithotripsy or ureteroscopy between 2000 and 2008. We used multivariate regression to evaluate whether procedure type was associated with hospital level factors, including treating hospital, region, size and teaching status, or patient level factors, including age, race, gender and insurance type., Results: We identified 3,377 children with renal stones, of whom 538 (16%) underwent surgery (shock wave lithotripsy in 48%, ureteroscopy in 52%). Procedures in 445 patients at hospitals performing both procedures were included. The relative proportion of ureteroscopy increased during the study period (24% from 2000 to 2002 vs 50% from 2006 to 2008, p=0.0001). Procedure choice was not significantly associated with patient age (p=0.2), gender (p=0.1), race (p=0.07), insurance (p=0.9), hospital size (p=0.6) or teaching status (p=0.99). Procedure choice varied significantly by geographical region (p=0.05), regional population (p=0.002) and stone location (p<0.0001). On multivariable analysis controlling for stone location, gender and treatment year the treating hospital was still highly associated with procedure choice., Conclusions: There is wide variation in procedure choice for children with kidney stones at freestanding children's hospitals in the United States. Treatment choice depends significantly on the hospital at which a patient undergoes treatment., (Copyright © 2012 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.)