Development of a prediction model for foot ulcer recurrence in people with diabetes using easy-to-obtain clinical variables.

ABSTRACT:

Introduction

We aimed to develop a prediction model for foot ulcer recurrence in people with diabetes using easy-to-obtain clinical variables and to validate its predictive performance in order to help risk assessment in this high-risk group.

Research design and methods

We used data from a prospective analysis of 304 people with foot ulcer history who had 18-month follow-up for ulcer outcome. Demographic, disease-related and organization-of-care variables were included as potential predictors. Two logistic regression prediction models were created: model 1 for all recurrent foot ulcers (n=126 events) and model 2 for recurrent plantar foot ulcers (n=70 events). We used 10-fold cross-validation, each including five multiple imputation sets for internal validation. Performance

SUBMITTER: Aan de Stegge WB 

PROVIDER: S-EPMC8311312 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature