Abstract 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.
