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INTRODUCTION: This study aimed to investigate the association between social vulnerability, as measured by the Centers for Disease Control and Prevention's Social Vulnerability Index (SVI), and the quality of life (QoL) of kidney stone patients using the validated Wisconsin Stone Quality of Life Questionnaire (WISQOL). METHODS: A retrospective analysis was conducted on medical records of new urolithiasis patients who completed the WISQOL at the University of Rochester Medical Center kidney stone clinic. The primary outcome was WISQOL score, which was measured across multiple domains. SVI was used to assess social vulnerability. Neighborhoods with high SVI were defined by a threshold greater than or equal to the 75th percentile nationally. Demographic and clinical data were collected. Statistical analyses, including univariate tests and multivariate linear regression, were performed to evaluate the relationships between social vulnerability and disease-specific QoL. RESULTS: A total of 1718 patients were included in the study. One hundred five subjects (6.1%) were from neighborhoods of high social vulnerability. Patients residing in neighborhoods with high social vulnerability (SVI quartile) reported significantly lower QoL scores (69.1 vs 77.2; P = .001) and this persisted across all domains, including social impact (32.6 vs 35.1; P = .002), emotional impact (25.2 vs 27.5; P = .006), disease impact (28.5 vs 31.4; P = .001), and vitality (10.3 vs 11.2; P = .015). Younger age, female sex, and higher number of comorbidities were identified as independent predictors of lower QoL scores. However, non-White race and Latinx ethnicity did not exhibit a significant association with QoL scores. CONCLUSIONS: These findings highlight the negative impact of high social vulnerability on QoL, emphasizing the importance of considering socioeconomic factors in patient care. These results emphasize the need for targeted interventions to support vulnerable populations. While this study offers initial insights, further research is essential to corroborate these outcomes across larger and more diverse populations.
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Cálculos Renales , Urolitiasis , Humanos , Femenino , Calidad de Vida/psicología , Estudios Retrospectivos , Vulnerabilidad Social , Cálculos Renales/psicologíaRESUMEN
INTRODUCTION: Urology has seen shifts in the management of many urologic conditions with the advent of noninvasive procedures that rely on multidisciplinary radiological modalities. This study seeks to analyze changes in urologists, radiologists, and advanced practice providers (APPs) performing uroradiology procedures over time. METHODS: The Centers for Medicare & Medicaid Services Physician/Procedure Summary data from 2010 to 2021 were utilized to examine uroradiology Current Procedural Terminology codes billed by urologists, radiologists, and APPs. Percent of total reimbursement and higher volume procedure count (after excluding providers with <11 procedures by per year) by each provider field was calculated and analyzed for changes in distribution from 2010 to 2021. RESULTS: There were significant changes in all procedures when examining procedure reimbursement distribution in 2010 to 2021 (P < .001). During the period, urology saw decreases in reimbursement proportion as large as 28.7% for kidney cryoablation and increases as large as 14.2% for nephrostomy tube removals. Radiology saw the largest decreases in reimbursement proportion with an 18.9% decrease for nephrostograms, while the largest increase was 23.6% for suprapubic tube placements. APPs saw the largest increase in suprapubic tube changes reimbursement proportion, which rose 14.2% from 2010 to 2021. There were significant changes in proportion in all procedures, except for antegrade stent, renal cryoablation, renal biopsy, and renal thermoablation. CONCLUSIONS: Uroradiology procedures have seen shifts in the distribution of which provider type performs each procedure. Most large changes in reimbursement and procedure proportion were shifted between urology and radiology, with APPs seeing smaller changes.
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Enfermedades Urológicas , Urología , Anciano , Estados Unidos , Humanos , Urólogos , Medicare , RadiólogosRESUMEN
INTRODUCTION: Ureteroscopy and laser lithotripsy is a common treatment option for upper urinary tract calculi. Currently, ureteral stents are placed after uncomplicated ureteroscopy for up to 1 week, but the optimal length of placement is not well defined. Ureteral stents are associated with significant morbidity, particularly stent discomfort. This study aims to determine differences in postoperative unplanned clinic or ED visits based on duration of stent placement. MATERIALS AND METHODS: This is a single-institution, IRB-approved, retrospective cohort study of 559 ureteroscopy cases with laser lithotripsy for urinary tract calculi performed from 2016 to 2018. The primary outcome was unplanned ED or clinic visits within 30 days following surgery and there. The patients were separated into three groups based on stent duration: 1 (0-3 days), 2 (4-6 days), and 3 (> 6 days). RESULTS: Fifty-eight (10.31%) patients experienced an unplanned visit within 30 days of the procedure. There was no significant difference in unplanned visits among groups for stent duration (p = 0.45). A Clavien grade analysis showed no difference in grades between groups (p = 0.59). A Cox regression model showed no difference in risk of unplanned visit comparing those in groups 2 and 3 to group 1 (p = 0.157 and 0.374, respectively). This also remains to be the case after adjusting for age, sex, and surgeon (p = 0.166 and 0.376, respectively). CONCLUSIONS: We found no difference in unplanned visits in patients based on the duration of stent placement following routine ureteroscopy. Stent removal within 3 days of surgery appears to be sufficient to minimize morbidity after uncomplicated ureteroscopy.
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Uréter , Cálculos Ureterales , Cálculos Urinarios , Humanos , Estudios Retrospectivos , Stents , Uréter/cirugía , Cálculos Ureterales/cirugía , Ureteroscopía/efectos adversos , Ureteroscopía/métodosRESUMEN
OBJECTIVE: The purpose of this study was to assess the use of semiautomated CT-based quantification of renal graft volume as a preoperative predictor of graft function. MATERIALS AND METHODS: All transplants over a 3-year period in which donors underwent CT and for which recipient outcomes were available were included. Two blinded readers used a commercially available reconstruction tool to independently measure donated kidney cortical volume and total parenchymal kidney volume. Transplant characteristics obtained by chart review included subject demographics, recipient pretransplant weight, immunologic matching, and recipient creatinine values at multiple time points. Intraclass correlation of measurements by the two readers was calculated. The ratios between donated kidney cortical volume and recipient pretransplant weight were correlated with graft function over 24 months and used in logistic regression models to calculate the odds of development of diminished renal function. RESULTS: After application of the inclusion and exclusion criteria, 153 transplants were included in the study. Donated kidney cortical and total parenchymal volume measurements had high correlation (R > 0.9) and high reproducibility (intraclass correlation coefficient, 0.93-0.94). Unadjusted correlations existed between estimated glomerular filtration rate (eGFR) and the ratio between donated kidney cortical volume and recipient pretransplant weight 12 months (R = 0.8489) and 24 months (R = 0.6839) after transplant. After adjustment for transplant parameters, recipients in the highest tertile for ratio between donated kidney cortical volume and recipient pretransplant weight (2.7 mL/kg) had higher mean eGFR values at all time points in the 24 months than did recipients in the lower tertiles (1.2 and 1.6 mL/kg). Recipients in the highest tertile had a significantly lower risk of development of diminished renal function 12 and 24 months after transplant (adjusted odds ratios, 0.25 at 12 months [95% CI, 0.09-0.66]; 0.27 at 24 months [95% CI, 0.10-0.71]). CONCLUSION: The CT-derived ratio between donated kidney cortical volume and recipient pretransplant weight is a noninvasively and readily obtained reproducible biomarker that is predictive of 12- and 24-month renal transplant outcomes.