Ontology highlight
ABSTRACT: Background
Accurately predicting impending death is essential for clinicians to clarify goals of care. We aimed to develop diagnostic models to predict death ≤3 days in cancer patients.Methods
In this multicenter cohort study, we consecutively enrolled advanced cancer patients admitted to 23 inpatient hospices in 2017. Fifteen clinical signs related to impending death were documented daily from the day when the Palliative Performance Scale (PPS) declined to ≤20-14 days later. We conducted recursive partitioning analysis using the entire data set and performed cross-validation to develop the model (prediction of 3-day impending death-decision tree [P3did-DT]). Then, we summed the number of systems (nervous/cardiovascular/respiratory/musculoskeletal), where any sign was prese
SUBMITTER: Mori M
PROVIDER: S-EPMC8607266 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature