Development and validation of an integrated nomogram to predict personalized new baseline functional outcomes after partial nephrectomy.

ABSTRACT:

Background

The prediction of new baseline renal function after partial nephrectomy (PN) has important clinical implications. This study aimed to establish a precise personalized nomogram integrating pre-, intra- and post-operative variables to predict new baseline function after PN.

Methods

This nomogram was constructed based on 213 consecutive PN cases at a large-volume institution from 2014 to 2017 and externally validated by a prospective cohort from January to December 2018 at the same institution. Multivariate cox regression and logistic least absolute shrinkage and selection operator (LASSO) regression were used to select predictors. The performance of the nomogram was assessed by the concordance index (C-index), calibration plot, decision curve analysis and Kaplan-Mei

SUBMITTER: Jin D 

PROVIDER: S-EPMC8824813 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature