Predicting the amputation risk for patients with diabetic foot ulceration - a Bayesian decision support tool.

ABSTRACT:

Background

Diabetes mellitus is a major global health issue with a growing prevalence. In this context, the number of diabetic complications is also on the rise, such as diabetic foot ulcers (DFU), which are closely linked to the risk of lower extremity amputation (LEA). Statistical prediction tools may support clinicians to initiate early tertiary LEA prevention for DFU patients. Thus, we designed Bayesian prediction models, as they produce transparent decision rules, quantify uncertainty intuitively and acknowledge prior available scientific knowledge.

Method

A logistic regression using observational collected according to the standardised PEDIS classification was utilised to compute the six-month amputation risk of DFU patients for two types of LEA: 1.) any-amputation and

SUBMITTER: Husers J 

PROVIDER: S-EPMC7446175 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature