Unknown

Dataset Information

Predictors and Temporal Trends of Withdrawal of Life-Sustaining Therapy After Acute Stroke in the Florida Stroke Registry.


ABSTRACT: Temporal trends and factors associated with the withdrawal of life-sustaining therapy (WLST) after acute stroke are not well determined.

Design

Observational study (2008-2021).

Setting

Florida Stroke Registry (152 hospitals).

Patients

Acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) patients.

Interventions

None.

Measurements and main results

Importance plots were performed to generate the most predictive factors of WLST. Area under the curve (AUC) for the receiver operating curve were generated for the performance of logistic regression (LR) and random forest (RF) models. Regression analysis was applied to evaluate temporal trends. Among 309,393 AIS patients, 47,485 ICH patients, and 16,694 SAH patients; 9%, 2

SUBMITTER: Alkhachroum A 

PROVIDER: S-EPMC10292735 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature