ArticleSurgery in practice and science2024
Predicting in-hospital mortality using Elixhauser comorbidity in patients underwent single and multiple coronary artery bypass surgery.
Article in Surgery in practice and science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Postoperative Delirium After Coronary Artery Bypass Grafting in the United States, 2016-2021: Trends, Risk Factors, and Outcomes.Journal of cardiothoracic and vascular anesthesia · 2026Observational
- Surgical vs Transcatheter Aortic Valve Replacement in Patients 65 Years of Age and Older.The Annals of thoracic surgery · 2026Article
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Authors and funding
2 authors.
Funding
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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 ( Conclusions: ECI was a moderate (
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