A prospective study examining cachexia predictors in patients with incurable cancer.

ABSTRACT:

Background

Early intervention against cachexia necessitates a predictive model. The aims of this study were to identify predictors of cachexia development and to create and evaluate accuracy of a predictive model based on these predictors.

Methods

A secondary analysis of a prospective, observational, multicentre study was conducted. Patients, who attended a palliative care programme, had incurable cancer and did not have cachexia at baseline, were amenable to the analysis. Cachexia was defined as weight loss (WL) > 5% (6 months) or WL > 2% and body mass index< 20 kg/m². Clinical and demographic markers were evaluated as possible predictors with Cox analysis. A classification and regression tree analysis was used to create a model based on optimal combinations and

SUBMITTER: Vagnildhaug OM 

PROVIDER: S-EPMC6549342 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature