title: The effect of surgical volume, age and comorbidities on 30-day mortality after radical prostatectomy: a population-based analysis of 9208 consecutive cases.
abstract: OBJECTIVE
  To examine the effect of surgical volume (SV) on 30-day mortality after radical prostatectomy (RP; reportedly 0.1-0.6% and influenced by age and comorbidities) and to explore the most informative SV, age and comorbidity thresholds to distinguish between high- and low-risk men.
  
  
  METHODS
  Between 1989 and 2000, 9208 consecutive patients were treated with RP. The effects on 30-day mortality of (either continuously coded or categorized) patient age, comorbidities (Charlson Comorbidity Index, CCI) and SV were tested in multivariable logistic regression models. The models were corrected for overfit bias using 200 bootstrap re-samples and were displayed graphically as nomograms.
  
  
  RESULTS
  The overall 30-day mortality was 0.52%; being younger (<69 years, 0.3% vs 1.0% 30-day mortality otherwise, P < 0.001), lower CCI (0, 0.2% vs 0.8% otherwise, P < 0.001) and higher SV (>27 RPs, 0.07 vs 0.6% otherwise, P = 0.049) had a protective effect and represented independent predictors of 30-day mortality. After correction for overfit bias, their combined input was 72.3% accurate in predicting 30-day mortality, vs 67.1% (P < 0.001) when the same variables were used in continuously coded (uncategorized) format. A model-derived probability threshold of <or=0.1% resulted in a 99.9% negative predictive value.
  
  
  CONCLUSIONS
  SV is an important determinant of 30-day mortality. Categorized age, CCI and SV are more useful and more accurate for predicting 30-day mortality than continuously coded variables. The combination of young age (<69 years), a CCI of 0 and high SV (>27 RPs) can accurately identify patients at negligible risk of 30-day mortality.
authors.affiliation: Cancer Prognostics and Health Outcomes Unit, University of Montreal, Montreal, Quebec, Canada.
authors.forename: Jochen
authors.initials: J
authors.lastname: Walz
authors.forename: Francesco
authors.initials: F
authors.lastname: Montorsi
authors.forename: Claudio
authors.initials: C
authors.lastname: Jeldres
authors.forename: Nazareno
authors.initials: N
authors.lastname: Suardi
authors.forename: Shahrokh F
authors.initials: SF
authors.lastname: Shariat
authors.forename: Paul
authors.initials: P
authors.lastname: Perrotte
authors.forename: Philippe
authors.initials: P
authors.lastname: Arjane
authors.forename: Markus
authors.initials: M
authors.lastname: Graefen
authors.forename: Daniel
authors.initials: D
authors.lastname: Pharand
authors.forename: Pierre I
authors.initials: PI
authors.lastname: Karakiewicz
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D015897:Comorbidity; D004812:Epidemiologic Methods; D013502:General Surgery / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D008875:Middle Aged; D011468:Prostatectomy / Q000379:methods / Q000401:mortality*; D011471:Prostatic Neoplasms / Q000401:mortality* / Q000601:surgery; D011792:Quebec / Q000453:epidemiology