Establishment and validation of a nomogram for predicting perioperative complications of retroperitoneal laparoscopic adrenalectomy.

ABSTRACT:

Background

While laparoscopic adrenalectomy (LA) represents a gold standard for treating most adrenal lesions, no effective visual model for the prediction of perioperative complications of retroperitoneal laparoscopic adrenalectomy (RLA) exists.

Methods

A retrospective study was conducted involving all consecutive patients underwent unilateral RLA for adrenal disease from January 2012 to December 2021. The entire cohort was randomly divided into 2 subsets (70% of the data for training, 30% for validation). Subsequently, a Least Absolute Shrinkage Selection Operator (LASSO) regression was performed to select the predictor variables, which were further consolidated via random forest (RF) and Boruta algorithm. Then the nomogram was established using the bivariate logistic regr

SUBMITTER: He J 

PROVIDER: S-EPMC10170273 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature