Robotic-assisted partial nephrectomy (RAPN) and standardization of outcome reporting: a prospective, observational study on reaching the “Trifecta and Pentafecta”

Author:

Sri DORCID,Thakkar R.,Patel H R H,Lazarus J.,Berger F.,McArthur R.,Lavigueur-Blouin H.,Afshar M.,Fraser-Taylor C.,Le Roux P.,Liban J.,Anderson C. J.

Abstract

AbstractPartial nephrectomy (PN) for small renal masses is common, but outcomes are not reported in a standard manner. Traditionally, parameters such as 90-day mortality, blood loss, transfusion rates, length of stay, nephrometry scoring and complications are published but their collective impact on warm ischemia time (WIT) and post-surgery GFR is rarely determined. Thus, our aim was to assess if “Trifecta” and “Pentafecta” outcomes could be used as useful surgical outcome markers. A prospective database of 252 Robotic-Assisted PN (RAPN) cases (2008–2019) was analysed. “Pentafecta” was defined as achievement of “Trifecta” (negative surgical margin, no postoperative complications and WIT of < 25 min) plus over 90% estimated GFR preservation and no CKD stage upgrading at 1 year. Binary logistic regression analysis was conducted to predict factors which may prevent achieving a Trifecta/Pentafecta. Median tumour size was 3 cm and mean WIT was 15 min. Positive surgical margins (PSM) occurred in 2 cases. Overall, the intra-operative complication rate was 7%. One recurrence conferred 5-year cancer-free survival of 97%. Trifecta outcome was achieved in 169 (67%) and Pentafecta in 141 (56%) of cases. At logistic regression analysis, intraoperative blood loss was the only factor to affect Trifecta achievement (p = 0.018). Advanced patient age negatively impacted Pentafecta achievement (p = 0.010). The Trifecta and Pentafecta outcomes are easily applicable to PN data, and offer an internationally comparable PN outcome, quality measure. We recommend applying this standardization to national data collection to improve the quality of reporting and ease of interpretation of surgeon/centres’ outcomes.

Funder

St. George's University of London

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Surgery

Reference26 articles.

1. https://www.baus.org.uk/_userfiles/pages/files/Publications/MDTRenalCancerGuidance.pdf. Accessed on June 2019

2. http://uroweb.org/guideline/renal-cell-carcinoma/#7. Accessed on June 2019

3. www.auanet.org/guidelines/renal-mass-and-localized-renal-cancer-new-(2017). Accessed on June 2019

4. Finelli A, Ismaila N, Bro B et al (2017) Management of small renal masses: American Society of Clinical Oncology Clinical Practice Guideline. J Clin Oncol 35(6):668–680

5. Aron M, Koenig P, Kaouk JH, Nguyen MM, Desai MM, Gill IS (2008) Robotic and laparoscopic partial nephrectomy: a matched pair comparison from a high-volume centre. BJU Int 102:86–92

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