Development and internal validation of a clinical prediction model for 90-day mortality after lung resection: the RESECT-90 score.

ABSTRACT:

Objectives

The ability to accurately estimate the risk of peri-operative mortality after lung resection is important. There are concerns about the performance and validity of existing models developed for this purpose, especially when predicting mortality within 90 days of surgery. The aim of this study was therefore to develop a clinical prediction model for mortality within 90 days of undergoing lung resection.

Methods

A retrospective database of patients undergoing lung resection in two UK centres between 2012 and 2018 was used to develop a multivariable logistic risk prediction model, with bootstrap sampling used for internal validation. Apparent and adjusted measures of discrimination (area under receiving operator characteristic curve) and calibration (calibration-in-t

SUBMITTER: Taylor M 

PROVIDER: S-EPMC8632783 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature