Mayo Adhesive Probability Score Adds Predictive Value Beyond PADUA and RENAL to Predict Surgical Complexity in Patients Undergoing Single Port Robotic Partial Nephrectomy: A Multi-Institutional Study
Background and Objective: Standard nephrometry scores characterize renal tumor anatomy but not adherent perinephric fat, which may influence exposure during single-port (SP) robot-assisted partial nephrectomy (RAPN). We evaluated whether Mayo Adhesive Probability (MAP) score is associated with operative difficulty and adds value beyond PADUA and RENAL scores. Methods: Retrospective multi-institutional analysis of 325 patients in the SP Advanced Research Consortium undergoing SP-RAPN with imaging and operative data. MAP was calculated from posterior perinephric fat thickness and perinephric fat stranding. Primary outcome: operative time; secondary outcomes: estimated blood loss (EBL), warm ischemia time (WIT). Log-linear regression adjusted for nephrometry score, age, BMI, and surgical approach. Incremental model fit was assessed by likelihood-ratio testing and Akaike Information Criterion (AIC) in fully adjusted nested models, with additional center-adjusted sensitivity analyses. Results: Each 1-point MAP increase was independently associated with longer operative time in RENAL-adjusted (+9.5%, 95% CI: 6.1–13.0; p < 0.001) and PADUA-adjusted (+6.5%, 95% CI: 3.6–9.5; p < 0.001) models. After center adjustment, these associations persisted (+5.0% and + 6.6% per point, respectively; both p < 0.001). MAP was associated with greater EBL in the primary model (+11.2%, 95% CI: 2.6–20.6; p = 0.010), but this association was attenuated after center adjustment (+6.0%, 95% CI: −2.4% to 15.1%; p = 0.168). MAP was not associated with WIT. Adding MAP improved model fit beyond RENAL (AIC reduction 28.7) and PADUA (AIC reduction 17.6; both p < 0.001). Postoperative complications occurred in 14.2%, major complications in 3.1%, and 30-day readmission in 8.3%. Conclusions: MAP complements nephrometry by capturing the perinephric dissection environment. Incorporating MAP into SP-RAPN assessment may provide complementary information for planning, counseling, and risk adjustment.
Authors
- Simone Crivellaro
- MICHAEL D. STIFELMAN (ORCID: https://orcid.org/0000-0002-2305-0938)
- Jennifer Linehan (ORCID: https://orcid.org/0000-0001-7519-4098)
- Riccardo Autorino B (ORCID: https://orcid.org/0000-0001-7045-7725)
- Srinivas Vourganti (ORCID: https://orcid.org/0000-0002-4395-8433)
- Mihir S. Shah (ORCID: https://orcid.org/0000-0002-2097-8888)
- Fabio Maria Valenzi (ORCID: https://orcid.org/0009-0005-5830-0975)
- Jihad H Kaouk (ORCID: https://orcid.org/0000-0002-7127-6069)
- Angelo Orsini (ORCID: https://orcid.org/0009-0009-9372-5847)
- Mehr Nasir-Moin
- Rui Miguel Marques Bernardino (ORCID: https://orcid.org/0000-0001-8076-4550)
- Nicolas Adrianto Soputro (ORCID: https://orcid.org/0000-0002-5419-0327)
- Gianna Jimenez
- Abdulrahman Muataz Al-Bayati (ORCID: https://orcid.org/0000-0002-2579-0534)
- Anastasia Mavridis
- Jacob O'Hara (ORCID: https://orcid.org/0009-0005-6972-9021)
- Mutahar Ahmed
- Ana Maldonado
Institutions
- Rush University Medical Center (US)
- Cleveland Clinic (US)
- Hackensack University Medical Center (US)
- Thomas Jefferson University (US)
- Thomas Jefferson University Hospital (US)
- University of Illinois Chicago (US)
- Saint John's Health Center (US)
- Glickman Urological Institute (US)
Publication Details
- Journal
- Journal of Endourology
- Published
- 2026-11-02
- DOI
- https://doi.org/10.1177/08927790261501686
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00