Palliative Care Exposure Relative to Predicted Risk of Six-Month Mortality in Hospitalized Adults.

ABSTRACT:

Context

The optimal strategy for implementing mortality-predicting algorithms to facilitate clinical care, prognostic discussions, and palliative care interventions remains unknown.

Objectives

To develop and validate a real-time predictive model for 180 day mortality using routinely available clinical and laboratory admission data and determine if palliative care exposure varies with predicted mortality risk.

Methods

Adult admissions between October 1, 2013 and October.1, 2017 were included for the model derivation. A separate cohort was collected between January 1, 2018 and July 31, 2020 for validation. Patients were followed for 180 days from discharge, and logistic regression with selected variables was used to estimate patients' risk for mortality.

Results

SUBMITTER: Agarwal R 

PROVIDER: S-EPMC9018538 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature