A Novel Risk Score to Predict Thirty-Day Readmissions after Acute Type A Aortic Dissections.

ABSTRACT:

Background

Readmissions following acute type A aortic dissections (ATAAD) are associated with potentially worse clinical outcomes and increased hospital costs. Predicting which patients are at risk for readmission may guide patient management prior to discharge.

Methods

The National Readmissions Database was utilized to identify patients treated for ATAAD between 2010 and 2018. Univariate mixed effects logistic regression was used to assess each variable. Variables were assigned risk points based off the bootstrapped (bias-corrected) odds ratio of the final variable model according to the Johnson's scoring system. A mixed effect logistic regression was run on the risk score (sum of risk points) and 30-day readmission. Calibration plots and predicted readmission curves were g

SUBMITTER: Ahmad D 

PROVIDER: S-EPMC11365022 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature