title: Predictive accuracy of nephrometric scores can be improved by adding clinical patient characteristics: a novel algorithm combining anatomic tumour complexity, body mass index, and Charlson comorbidity index to depict perioperative complications after nephron-sparing surgery.
authors.affiliation: Department of Urology, AO Papa Giovanni XXIII, Bergamo, Italy. Electronic address: roscigno.marco@gmail.com.
authors.forename: Marco
authors.initials: M
authors.lastname: Roscigno
authors.forename: Francesca
authors.initials: F
authors.lastname: Ceresoli
authors.forename: Richard
authors.initials: R
authors.lastname: Naspro
authors.forename: Francesco
authors.initials: F
authors.lastname: Montorsi
authors.forename: Roberto
authors.initials: R
authors.lastname: Bertini
authors.forename: Luigi Filippo
authors.initials: LF
authors.lastname: Da Pozzo
mesh_terms: D000368:Aged; D000465:Algorithms; D015992:Body Mass Index; D005260:Female; D006801:Humans; D007680:Kidney Neoplasms / Q000150:complications* / Q000601:surgery*; D008297:Male; D008875:Middle Aged; D009399:Nephrons; D059351:Organ Sparing Treatments; D011183:Postoperative Complications / Q000453:epidemiology*; D011237:Predictive Value of Tests; D011446:Prospective Studies; D015203:Reproducibility of Results