Background and Objectives: to investigate the impact of age on renal function deterioration after robotic-assisted partial nephrectomy (RAPN) focusing on a decline to moderate and severe forms of chronic kidney disease (CKD). Materials and Methods: This is a single center prospective analysis of patients who underwent RAPN. The outcomes include the development of de novo CKD-S 3a [estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m²)] and de novo CKD-S 3b (eGFR < 45 mL/min/1.73/m²). Multivariable analysis (MVA) via Cox regression identified predictors for CKD-S 3a/b. Kaplan –Meier Analyses (KMA) were fitted for survival assessment. Multivariable linear regression was utilized to identify the predictors of last-eGFR. Results: Overall, 258 patients were analyzed [low age (70) n = 54 (20.9%)] with a median follow-up of 31 (IQR 20–42) months. MVA revealed an increasing RENAL score [Hazard Ratio (HR) 1.32, p = 0.009], age 50–70 (HR 6.21, p = 0.01), age ≥ 70 (HR 10.81, p = 0.001), increasing BMI (HR 1.11, p < 0.001) and preoperative CKD 2 (HR 2.43, p = 0.014) are independent risk factors associated with an increased risk of CKD-S 3a; conversely, post-surgical acute kidney injury was not (p = 0.83). MVA for CKD-S 3b revealed an increasing RENAL score (HR 1.51, p = 0.013) and age ≥ 70 (HR 2.73, p = 0.046) are associated with an increased risk of CKD-S 3b. Linear regression analysis revealed increasing age (Coeff. −0.76, p < 0.001), increasing tumor size (Coeff. −0.31, p = 0.03), and increasing BMI (Coeff. −0.64, p = 0.004) are associated with decreasing eGFR at last follow-up. We compare the survival distribution of our cohort stratified by age elderly patients experienced worsened CKD-S 3a/b disease-free survival (p < 0.001; p < 0.001, respectively). Conclusions: Age is independently associated with a greater risk of significant and ongoing decline in kidney function following RAPN. Recognizing the impact of aging on renal function post-surgery can guide better management practices. Further investigations are required.

Background: Personalized therapeutic approaches for localized prostate cancer have evolved significantly, with tissue-based biomarker tests supplementing traditional risk stratification tools. However, national testing patterns and geographic variability remain limited a decade after coverage implementation. We aimed to assess current nationwide utilization and urban-rural differences in tissue-based biomarker testing. Methods: Using full Medicare claims data, we retrospectively identified patients with newly diagnosed prostate cancer and tissue-based biomarker testing claims from 2019 to 2023. Patients' county of residence was categorized as metro, urban, or rural. Regional testing rates were further assessed across hospital referral regions. A multivariable logistic regression model was performed to assess the effect of residence on test receipt. Results: Our final cohort included 749 202 patients, of whom 79.5% lived in metro, 11.4% in urban and 8.00% in rural counties. Overall, 86 908 (11.6%) patients underwent tissue-based biomarker tests. Hospital referral region-level testing rates ranged from 2.4% to 42.7%. Rural patients were 18% less likely to undergo testing compared to metro patients (odds ratio [OR] 0.82, 95% CI = 0.73 to 0.91). Independently, the odds of undergoing testing were lower among Black (OR 0.82, 95% CI = 0.77 to 0.88) and Hispanic patients (OR 0.80, 95% CI = 0.73 to 0.88) compared to White patients. Conclusion: This study reveals high geographic variability in tissue-based biomarker testing for prostate cancer. Further, Black and Hispanic patients were less likely to receive testing. Our findings highlight regional practice variation in the use of advanced, not routinely recommended tests and underscore the need to minimize disparities in diagnostic access.

Purpose: The purpose of this study is to investigate the impact of Mayo Adhesive Probability (MAP) score and body mass index (BMI) on renal function decline after robotic assisted partial nephrectomy (RAPN).Methods: We queried our prospective database for patients who underwent RAPN between January 2018 and December 2023. Outcomes were development of de novo CKD‐S3 (estimated glomerular filtration rate [eGFR] < 60 ml/min/1.73 m²). Multivariable analysis (MVA) via Cox regression identified predictors for CKD‐S3. Kaplan–Meier Analyses was fitted for survival assessment. Finally, multivariable linear regression was utilized to identify predictors of delta eGFR at last follow‐up (preoperative eGFR—last eGFR).Results: Two‐hundred fifty‐eight patients were analysed (obese n = 49 [19%]; MAP score 0–2 = 135 [52.33%]; MAP score 3–5 = 123 [47.6%]) with a median follow‐up of 33 (IQR 20–42) months. MVA revealed, high MAP score (HR 2.29, p = 0.019), increasing RENAL score (HR 1.26, p = 0.009), increasing age (HR 1.04, p = 0.003), obesity (HR 2.38, p = 0.006) and diabetes mellitus (HR 2.38, p = 0.005) as associated with increased risk of development of CKD‐S3, while trifecta achievement was not (p = 0.63). Comparing low MAP score versus high MAP score 4‐year CKD‐S3 free survival was 87.8% versus 56.1% (p < 0.001). Multivariable linear regression showed that high MAP score (coefficient 6.64, p = 0.001) and BMI (coefficient 0.51, p = 0.011) were significantly associated with increased delta eGFR at last follow up.Conclusions: MAP score and increasing BMI are predictor for long term renal functional detrimental. These insights may call consideration for closer follow‐up or greater medical scrutiny prior surgery in obese patients and with elevated MAP score. Further investigations are requisite.