Predicting length of stay after robotic partial nephrectomy

Wassim M. Bazzi, Daniel D. Sjoberg, Angelica A C Grasso, Melanie Bernstein, Raul Parra, Jonathan A. Coleman

Research output: Contribution to journalArticlepeer-review


Introduction: To investigate factors predictive of length of stay (LOS) after robotic partial nephrectomy (RPN) in an effort to identify patients suitable for RPN with overnight stay at outpatient surgical facilities. Materials and methods: Retrospective chart review of patients who underwent RPN at Memorial Sloan Kettering Cancer Center from January 2007 to July 2012 was conducted. Univariate and multivariate analyses were performed to identify the main predictors of LOS. The discrimination of the multivariate model was measured using the area under the curve (AUC); tenfold cross-validation was performed to correct for over-fit. Results: One hundred and eighty-six patients were included in the analysis; 84 (45 %) had LOS of ≤1 day (median LOS 2 day; interquartile range 1–2). On univariate analysis, preoperative variables associated with LOS > 1 included larger tumors (P  1 day included greater estimated blood loss (P 

Original languageEnglish
Pages (from-to)1321-1325
Number of pages5
JournalInternational Urology and Nephrology
Issue number8
Publication statusPublished - Aug 31 2015


  • Ambulatory care
  • Kidney neoplasms
  • Length of stay
  • Nephrectomy

ASJC Scopus subject areas

  • Nephrology
  • Urology


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