ArticleInternational journal of preventive medicine2017
Coronary Artery Bypass Graft Surgery Outcomes Following 6.5 Years: A Nested Case-control Study.
Article in International journal of preventive medicine, 2017. 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.
- Machine learning algorithms for predicting mortality after coronary artery bypass grafting.Frontiers in cardiovascular medicine · 2022Article
- Correlation of Resting Heart Rate with the Severity and Complexity of Coronary Artery Disease: A Single-Center Retrospective Study.International journal of preventive medicine · 2019Article
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Authors and funding
4 authors.
Funding
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Abstract
backgroundCoronary artery disease (CAD) is the leading causes of mortality and morbidity in worldwide. This nested case-control study investigated the predictors of death in long-term follow-up after coronary artery bypass graft surgery (CABG).
methodsCases were defined as CABG patients who died in the period of May 2006-March 2013. Controls were CABG patients who were alive in the same period. Cases and controls were derived from an existing cohort, Tehran Heart Center-Coronary Outcome Measurement. One hundred and fifty-nine patients in control group were randomly selected from 566 available patients in follow-up database. A series of simple and multiple logistic regressions was performed in the context of univariate and multivariate analyses, respectively, for computing unadjusted and adjusted odds ratios and their confidence intervals (CI). In the univariate analyses, demographic or cardiometabolic factors were entered separately, and for multivariate analysis, we got both significant risk factors from univariate analysis and the major risk factors.
resultsThe results of multivariate analyses showed that for age, the likelihood of mortality increases in CABG patients (95%CI: 1.1; 1.03-1.2;
conclusionsThe study results indicated that age, diabetes, cigarette smoking, PVD, long length of stay in hospital, elevated triglycerides, total cholesterol, CRP, and high-density lipoprotein cholesterol were significant contributing to increased mortality after CABG. It seems that vulnerable older patients continue to be at high risk with poor outcomes.
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