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Published on: March 27, 2018
Developing and verifying a multivariate model to predict the survival probability after coronary artery bypass
Chengzhuo Li1, Fengshuo Xu1, Didi Han1
1Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong 510630, China; School of Public Health, Xi'an Jiaotong University Health Science Center, Shaanxi 710061, China.
Insights
This study developed a new nomogram to predict survival after coronary artery bypass grafting (CABG) for coronary atherosclerosis patients. The tool uses readily available indicators for personalized long-term prognosis.
Area of Science:
- Cardiology
- Medical Informatics
- Biostatistics
Background:
- Coronary atherosclerosis is a leading global cardiovascular disease.
- Coronary artery bypass grafting (CABG) improves survival but post-operative prognosis is uncertain.
- Accurate prognostic tools are crucial for managing patients with coronary atherosclerosis.
Purpose of the Study:
- To develop a novel nomogram for predicting 1-, 2-, and 3-year survival rates after CABG.
- To identify key indicators for predicting post-CABG survival in coronary atherosclerosis patients.
- To create a personalized tool for clinical decision-making and prognosis prediction.
Main Methods:
- Utilized the Medical Information Mart for Intensive Care III (MIMIC-III) database.
- Employed multivariate Cox regression to identify risk factors.
- Evaluated model performance using C-index, NRI, IDI, and AUROC, comparing it with SOFA and SAPS II scores.
Main Results:
- Identified age, marital status, BMI, creatinine, platelet count, RDW, heart rate, ICU stay, and Elixhauser Comorbidity Index as significant risk factors.
- The nomogram demonstrated strong predictive performance with C-indexes exceeding 0.75.
- The nomogram outperformed SAPS II and SOFA scores in predicting patient survival.
Conclusions:
- The developed nomogram is a valuable, personalized tool for predicting long-term prognosis after CABG.
- Clinicians can use this nomogram to guide treatment decisions for coronary atherosclerosis patients.
- The nomogram enhances the ability to predict patient outcomes following CABG surgery.
Background:
Coronary atherosclerosis is one of the main cardiovascular diseases affecting the global population. Coronary artery bypass grafting (CABG) is commonly used to improve the survival probability of patients with coronary atherosclerosis. However, the prognosis of patients after CABG remains unclear.
Objectives:
We aimed to construct a novel nomogram comprising readily available indicators to predict the 1-, 2-, and 3-year survival rates after CABG in patients with coronary atherosclerosis.
Methods:
We utilized the Medical Information Mart for Intensive Care III (MIMIC-III) database for the study. The calibration plot, concordance index (C-index), net reclassification index (NRI), integrated discrimination improvement (IDI), and area under the receiver operating characteristic curve (AUROC) were used to evaluate the performance of the model, and to compare the nomogram with the Sequential Organ Failure Assessment (SOFA) score and Simplified Acute Physiology Score II (SAPS II) in order to illustrate the clinical effectiveness of the model.
Results:
The multivariate Cox regression model showed that age, marital status, body mass index, creatinine, platelet count, red cell distribution width, heart rate, intensive-care unit stay time, and Elixhauser Comorbidity Index were risk factors. The C-indexes of the nomogram exceeded 0.75, and its NRI and IDI were both higher than 0. The AUROCs were larger for the nomogram than for the SAPS II and SOFA score.
Conclusion:
Our new nomogram is a personalized tool that helps clinicians choose treatment options and predict the long-term prognosis of patients.
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