Nomogram for predicting severe morbidity after pheochromocytoma surgery.

ABSTRACT:

Purpose

Although resection is the primary treatment strategy for pheochromocytoma, surgery is associated with a high risk of morbidity. At present, there is no nomogram for prediction of severe morbidity after pheochromocytoma surgery, thus the aim of the present study was to develop and validate a nomogram for prediction of severe morbidity after pheochromocytoma surgery.

Methods

The development cohort consisted of 262 patients who underwent unilateral laparoscopic or open pheochromocytoma surgery at our center between 1 January 2007 and 31 December 2016. The patients' clinicopathological characters were recorded. The least absolute shrinkage and selection operator (LASSO) binary logistic regression model was used for data dimension reduction and feature selection, then mul

SUBMITTER: Wang H 

PROVIDER: S-EPMC7159264 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature