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ABSTRACT: Objectives
This study aims to develop and internally validate a prediction model, which takes account of multivariable and comprehensive factors to predict the prolonged length of stay (LOS) in patients with lower extremity atherosclerotic disease (LEAD).Design
This is a retrospective study.Setting
China.Participants, primary and secondary outcomes
Data of 1694 patients with LEAD from a retrospective cohort study between January 2014 and November 2021 were analysed. We selected nine variables and created the prediction model using the least absolute shrinkage and selection operator (LASSO) regression model after dividing the dataset into training and test sets in a 7:3 ratio. Prediction model performance was evaluated by calibration, discrimination and Hosme
SUBMITTER: Wang X
PROVIDER: S-EPMC9923290 | biostudies-literature | 2023 Feb
REPOSITORIES: biostudies-literature