Intradetrusor botox injection and augmentation cystoplasty trends among spina bifida patients at US freestanding children's hospitals.

INTRODUCTION: Intra-detrusor botulinum toxin (Botox) injection is a minimally invasive alternative to augmentation cystoplasty in patients with refractory neurogenic bladder. Botox was first used for neurogenic bladder children two decades ago. However, there are no existing guidelines on indications or use among patients with spina bifida. Furthermore, there are little data regarding its use relative to bladder augmentation and patient volume on a national scale. OBJECTIVE: We sought to investigate the contemporary trends of intra-detrusor Botox injection and augment cystoplasty in free-standing children's hospitals. STUDY DESIGN: We queried the Pediatric Health Information System database to identify spina bifida patients from 2016 to 2019 who underwent intra-detrusor Botox injection and augment cystoplasty based on CPT and ICD-10 codes. Total spina bifida population under care in the free-standing children's hospitals was estimated by all inpatient and ambulatory surgery encounters as denominators to calculate frequency by time for both intra-detrusor Botox injections and augmentation cystoplasty. RESULTS: In total, we included 1924 intra-detrusor Botox injections and 842 augmentation cystoplasties. 1413 (51.1%) patients were female. Median age at surgery was 10.0 (interquartile range 6.98-13.5) years. There was a significant increase in intra-detrusor Botox injection frequency (p < 0.001). While there was an overall decreasing, but not significant, trend for augmentation cystoplasty, there was a significant increase in this procedure during the summer months compared to the rest of the year (p < 0.001, Figure 1). Sensitivity analysis using only first intra-detrusor Botox injection per patient demonstrated similarly significant increasing trend. DISCUSSION: Use of intra-detrusor Botox injection for the management of neurogenic bladder has significantly increased among patients with spina bifida while augmentation cystoplasty has slightly decreased, but not significantly. CONCLUSIONS: Over time, practice patterns for the treatments of neurogenic bladder among spina bifida children have favored minimally invasive Botox injections while augmentation cystoplasty use has not significantly changed.

Environmental Impact of a Pediatric and Young Adult Virtual Medicine Program: A Lesson from the COVID-19 Pandemic.

OBJECTIVES: The Coronavirus Disease 2019 (COVID-19) pandemic led to the expansion of virtual medicine as a method to provide patient care. We aimed to determine the impact of pediatric and young adult virtual medicine use on fossil fuel consumption, greenhouse gas, and nongreenhouse traffic-related air pollutant emissions. METHODS: We conducted a retrospective analysis of all virtual medicine patients at a single quaternary-care children's hospital with a geocoded address in the Commonwealth of Massachusetts prior to (March 16, 2019-March 15, 2020) and during the COVID-19 pandemic (March 16, 2020-March 15, 2021). Primary outcomes included patient travel distance, gasoline consumption, carbon dioxide and fine particulate matter emissions as well as savings in main hospital energy use. RESULTS: There were 3,846 and 307,273 virtual visits performed with valid Massachusetts geocoded addresses prior to and during the COVID-19 pandemic, respectively. During 1 year of the pandemic, virtual medicine services resulted in a total reduction of 620,231 gallons of fossil fuel use and $1,620,002 avoided expenditure as well as 5,492.9 metric tons of carbon dioxide and 186.3 kg of fine particulate matter emitted. There were 3.1 million fewer kilowatt hours used by the hospital intrapandemic compared to the year prior. Accounting for equipment emissions, the combined intrapandemic emission reductions are equivalent to the electricity required by 1,234 homes for 1 year. CONCLUSIONS: Widespread pediatric institutional use of virtual medicine provided environmental benefits. The true potential of virtual medicine for decreasing the environmental footprint of health care lies in scaling this mode of care to patient groups across the state and nation when medically feasible.

A machine learning algorithm predicting risk of dilating VUR among infants with hydronephrosis using UTD classification.

BACKGROUNDS: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR), management recommendations tend to be subjective. OBJECTIVE: We sought to develop a model to reliably predict VUR from early post-natal ultrasound. STUDY DESIGN: Radiology records from single institution were reviewed to identify infants aged 0-90 days undergoing early ultrasound for antenatal UTD. Medical records were reviewed to confirm diagnosis of VUR. Primary outcome defined as dilating (≥Gr3) VUR. Exclusion criteria include major congenital urologic anomalies (bilateral renal agenesis, horseshoe kidney, cross fused ectopia, exstrophy) as well as patients without VCUG. Data were split into training/testing sets by 4:1 ratio. Machine learning (ML) algorithm hyperparameters were tuned by the validation set. RESULTS: In total, 280 patients (540 renal units) were included in the study (73 % male). Median (IQR) age at ultrasound was 27 (18-38) days. 66 renal units were found to have ≥ grade 3 VUR. The final model included gender, ureteral dilation, parenchymal appearance, parenchymal thickness, central calyceal dilation. The model predicted VUR with AUC at 0.81(0.73-0.88) on out-of-sample testing data. Model is shown in the figure. DISCUSSION: We developed a ML model that can predict dilating VUR among patients with hydronephrosis in early ultrasound. The study is limited by the retrospective and single institutional nature of data source. This is one of the first studies demonstrating high performance for future diagnosis prediction in early hydronephrosis cohort. CONCLUSIONS: By predicting dilating VUR, our predictive model using machine learning algorithm provides promising performance to facilitate individualized management of children with prenatal hydronephrosis, and identify those most likely to benefit from VCUG. This would allow more selective use of this test, increasing the yield while also minimizing overutilization.

Dietary Risk Factors for Pediatric Kidney Stones: A Case-Control Study.

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.

Top-Down versus Bottom-Up Approach in Children Presenting with Urinary Tract Infection: Comparative Effectiveness Analysis Using RIVUR and CUTIE Data.

PURPOSE: The initial imaging approach to children with urinary tract infection (UTI) is controversial. Along with renal/bladder ultrasound, some advocate voiding cystourethrogram (VCUG), ie a bottom-up approach, while others advocate dimercaptosuccinic acid (DMSA) scan, ie a top-down approach. Comparison of these approaches is challenging. In the RIVUR/CUTIE trials, however, all subjects underwent both VCUG and DMSA scan. Our objective was to perform a comparative effectiveness analysis of the bottom-up vs top-down approach. MATERIALS AND METHODS: We simulated 1,000 hypothetical sets of 500 children using RIVUR/CUTIE data. In the top-down approach, patients underwent initial DMSA scan, and only those with renal scarring underwent VCUG. In the bottom-up approach, the initial study was VCUG. We assumed all children with vesicoureteral reflux (VUR) received continuous antibiotic prophylaxis (CAP). Outcomes included recurrent UTI, number of VCUGs and CAP exposure. We assumed a 25% VUR prevalence in children with initial UTI with sensitivity analysis using 40% VUR prevalence. RESULTS: Median age of the original RIVUR/CUTIE cohort was 12 months. First DMSA scan was performed at a median of 8.2 weeks (IQR 5-11.8) after the index UTI. In the simulated cohort, slightly higher yet statistically significantly recurrent UTI was associated with the top-down compared with the bottom-up approach (24.4% vs 18.0%, p=0.045). On the other hand, the bottom-up approach resulted in more VCUG (100% vs 2.4%, p <0.001). Top-down resulted in fewer CAP-exposed patients (25% vs 0.4%, p <0.001) and lower overall CAP exposure (5 vs 162 days/person, p <0.001). Sensitivity analysis was performed with 40% VUR prevalence with similar results. CONCLUSIONS: The top-down approach was associated with slightly higher recurrent UTI. Compared to the bottom-up approach, it significantly reduced the need for VCUG and CAP.

A Machine Learning Model to Maximize Efficiency and Face Time in Ambulatory Clinics.

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.

Pattern recognition algorithm to identify detrusor overactivity on urodynamics.

AIMS: Detrusor overactivity (DO) of the bladder is a finding on urodynamic studies (UDS) that often correlates with lower urinary tract symptoms and drives management. However, UDS interpretation remains nonstandardized. We sought to develop a mathematical model to reliably identify DO in UDS. METHODS: We utilized UDS archive files for studies performed at our institution between 2013 and 2019. Raw tracings of vesical pressure, abdominal pressure, detrusor pressure, infused volume, and all annotations during UDS were obtained. Patients less than 1 year old, studies with calibration issues, or those with significant artifacts were excluded. In the training set, five representative DO patterns were identified. Candidate Pdet signal segments were matched to representative DO patterns. Manifold learning and dynamic time warping algorithms were used. Five-fold cross validation (CV) was used to evaluate the performance. RESULTS: A total of 799 UDS studies were included. The median age was 9 years (range, 1-33). There were 1,742 DO events that did not overlap with annotated artifacts (cough, cry, valsalva, movements). The AUC of the training sets from the five-fold CV was 0.84 ± 0.01. The five-fold CV leads to an overall accuracy 81.35%, and sensitivity and specificity of detecting DO events are 76.92% and 81.41%, respectively, in the testing set. CONCLUSIONS: Our predictive model using machine learning algorithms provides promising performance to facilitate automated identification of DO in UDS. This would allow for standardization and potentially more reliable UDS interpretation. Signal processing and machine learning interpretation of the other components of UDS are forthcoming.

Anxiety, distress, and pain in pediatric urodynamics.

AIMS: No one has assessed urodynamic studies (UDS) to determine those steps that elicit the greatest anxiety, distress, and pain in children. We sought to systematically evaluate a child's UDS experience to mollify these reactions. METHODS: Prospective study involving children aged ≥5 undergoing UDS over a 6-month period (from 10 December 2018 to 22 May 2019). Upon arrival, patients completed a visual analog scale for anxiety (VAS-A, 0-10) about the upcoming procedure. A research assistant assessed the patient's behavior during each major step of UDS using a validated brief behavioral distress scale. Nursing staff also obtained patients' pain ratings (0-10) for these key elements. Immediately after UDS, each child completed a posttest VAS-A along with a survey about the UDS experience. RESULTS: A total of 76 UDS were observed; almost half included sphincter needle electromyography (EMG). Mean patient VAS-A scores were 2.3 before UDS, compared to 0.8 afterward (P < .001). The highest proportion of distressful behaviors were observed during EMG needle (31%) and urethral catheter (29%) insertion, in agreement with the highest mean pain scores of 3.2 and 2.7, respectively. Fifty-four percent of children reported not being completely aware of what was going to happen before the procedure and 50% of those patients exhibited at least one interfering or potentially interfering behavior. Similarly, 60% of children with no prior history of UDS exhibited at least one interfering or potentially interfering behavior. CONCLUSIONS: EMG needle and urethral catheter placement, initial urodynamic testing and not knowing what to expect were associated with greater pain and distress during pediatric UDS.

Telemedicine for Pediatric Urological Postoperative Care is Safe, Convenient and Economical.

PURPOSE: We compared virtual visits, ie remote patient encounters, via a live video system, with conventional in-person visits with respect to clinical outcomes, family experience and costs in a pediatric urology surgical population. MATERIALS AND METHODS: Patients were enrolled in a prospective cohort study comparing postoperative virtual and in-person visits during a 4-month period in 2018. Appointment status and time metrics were tracked. The primary outcome was the safety of virtual visits, assessed by comparing the number of additional in-person visits, emergency department encounters and hospital readmissions. Secondary outcomes included the family assessment of the encounter and associated costs. After each visit families were prompted to complete a survey that assessed missed work/school and direct costs. Opportunity cost was estimated using reported missed work time, average national hourly wage and visit duration. RESULTS: Overall 107 virtual and 100 in-person postoperative visits were completed. There was no difference in patient characteristics, appointment compliance or clinical outcomes between the cohorts. Travel and waiting for care accounted for 98.4% of the total time spent for an in-person visit. With the virtual visit significantly less work and school were missed by parents and children, respectively. The opportunity costs associated with an in-person visit were computed at $23.75 per minute of face time with a physician, compared to $1.14 for a virtual visit. CONCLUSIONS: For pediatric postoperative care virtual visits are associated with shorter wait times, decreased missed work and school, and clinical outcomes similar to those of in-person visits. Telemedicine appears to reduce the costs associated with these brief but important encounters.

The Use of Telemedicine for the Postoperative Urological Care of Children: Results of a Pilot Program.

PURPOSE: For postoperative visits, which are often brief interactions between family and clinician, patients may prefer the convenience of receiving postoperative care from home. We evaluated the feasibility of telemedicine for postoperative encounters in pediatric urology. MATERIALS AND METHODS: We performed a prospective telemedicine pilot study during an implementation period from November 10, 2017 to March 22, 2018. All postoperative patients deemed eligible by 1 of 4 urologists were offered enrollment in the telemedicine program. Enrollees underwent at least 1 virtual visit within 6 weeks of surgery. Technical difficulties and the number of unscheduled visits and readmissions were noted. After each virtual evaluation the family and clinician were prompted to complete a survey pertaining to perceptions of the telemedicine experience, including how effective the virtual visit was in delivering care. For each virtual visit with a urologist we estimated roundtrip travel cost and time. RESULTS: There was 96% technical success when using the software. A total of 125 postoperative virtual visits were completed in 83 patients. Median age of the children was 3.4 years and 87% were boys. Clinicians found that the virtual visit was "very effective" in 86% of cases, delivering the same care that they would have provided during a visit in person. Families were estimated to have saved a mean $150 travel cost and a median of 113 minutes of travel time per visit. No adverse postoperative outcomes were observed. CONCLUSIONS: This pilot study demonstrates that telemedicine can be successfully implemented in the postoperative care of pediatric urology patients.