Predicting in-hospital mortality using Elixhauser comorbidity in patients underwent single and multiple coronary artery bypass surgery.

ABSTRACT:

Background

Coronary Artery Bypass Grafting (CABG) is a high-risk surgery. Cardiovascular diseases are strongly associated with comorbidities. This study aimed to assess the prediction of in-hospital mortality by comorbidities in patients who underwent CABG.

Methods

The National Inpatient Sample database was used to extract patients who received 1, 2, 3, and 4+ CABG between Q4 2015 and 2020. Best-fit model by logistic regressions was used to predict in-hospital mortality by Elixhauser Comorbidity Index (ECI). Moreover, age was adjusted in ECI prediction.

Results

There were 190,524, 83,725, 48,147, and 13,540 patients who underwent 1, 2, 3, and 4+ CABG, respectively. In-hospital mortality was best predicted by ECI in 3 CABG (c-statistic = 0.63, 95 % CI = 0.62-0.6

SUBMITTER: Li R 

PROVIDER: S-EPMC11750039 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature