The application of the triglyceride-glucose-body mass index (TyG-BMI) in predicting acute kidney injury in diabetic patients following coronary artery bypass grafting surgery
Abstract Background The triglyceride-glucose-body mass index (TyG-BMI), a marker for insulin resistance, is recognized for its predictive role in cardiovascular and metabolic diseases, including kidney disease. we explored the TyG-BMI index’s association with postoperative kidney injury in coronary...
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BMC
2025-04-01
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| Series: | Journal of Cardiothoracic Surgery |
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| Online Access: | https://doi.org/10.1186/s13019-025-03455-1 |
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| author | Chen Li Xiaobin Liu Xingping Lv Wei Zhou Guoliang Fan Feng Zhu |
| author_facet | Chen Li Xiaobin Liu Xingping Lv Wei Zhou Guoliang Fan Feng Zhu |
| author_sort | Chen Li |
| collection | DOAJ |
| description | Abstract Background The triglyceride-glucose-body mass index (TyG-BMI), a marker for insulin resistance, is recognized for its predictive role in cardiovascular and metabolic diseases, including kidney disease. we explored the TyG-BMI index’s association with postoperative kidney injury in coronary artery bypass grafting (CABG) patients, who are at an elevated risk for such complications, underscoring its potential as a predictor for acute kidney injury (AKI). Methods This single-center, retrospective study included 126 patients. Patients were divided into AKI and non-AKI groups postoperatively according to the KDIGO classification criteria. Univariate logistic regression was used to screen for variables with significant differences (P < 0.01), and multiple multivariate regression models were constructed to analyze independent risk factors in the multivariate regression model and to analyze the value of TyG-BMI in predicting AKI in diabetic patients after CABG. Results Compared to the non-AKI group, the AKI group had statistically significant differences in preoperative fasting triglycerides, preoperative fasting glucose, preoperative and postoperative creatinine levels, ICU stay duration, and TyG-BMI levels (P < 0.05). Based on the results of univariate regression analysis, a multivariate logistic regression model A was constructed using all significant variables, and a multivariate logistic regression model 2 was constructed using significant variables other than TyG-BMI. ROC analysis showed that model 2 had better predictive performance than model 1 (AUC = 0.836 vs. 0.766). A positive correlation was observed between TyG-BMI and AKI occurrence (Spearman’s correlation coefficient: R = 0.33, P = 0.00019). Conclusion Elevated TyG-BMI levels are closely associated with AKI in diabetic patients after CABG. TyG-BMI has potentially predictive value for AKI in diabetic patients after CABG and may play a crucial role in risk stratification in clinical practice. |
| format | Article |
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| language | English |
| publishDate | 2025-04-01 |
| publisher | BMC |
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| series | Journal of Cardiothoracic Surgery |
| spelling | doaj-art-ffb1f67c6d99433782d9841f82a36d002025-08-20T02:19:57ZengBMCJournal of Cardiothoracic Surgery1749-80902025-04-0120111010.1186/s13019-025-03455-1The application of the triglyceride-glucose-body mass index (TyG-BMI) in predicting acute kidney injury in diabetic patients following coronary artery bypass grafting surgeryChen Li0Xiaobin Liu1Xingping Lv2Wei Zhou3Guoliang Fan4Feng Zhu5Department of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji UniversityDepartment of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji UniversityDepartment of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji UniversityDepartment of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji UniversityDepartment of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji UniversityDepartment of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji UniversityAbstract Background The triglyceride-glucose-body mass index (TyG-BMI), a marker for insulin resistance, is recognized for its predictive role in cardiovascular and metabolic diseases, including kidney disease. we explored the TyG-BMI index’s association with postoperative kidney injury in coronary artery bypass grafting (CABG) patients, who are at an elevated risk for such complications, underscoring its potential as a predictor for acute kidney injury (AKI). Methods This single-center, retrospective study included 126 patients. Patients were divided into AKI and non-AKI groups postoperatively according to the KDIGO classification criteria. Univariate logistic regression was used to screen for variables with significant differences (P < 0.01), and multiple multivariate regression models were constructed to analyze independent risk factors in the multivariate regression model and to analyze the value of TyG-BMI in predicting AKI in diabetic patients after CABG. Results Compared to the non-AKI group, the AKI group had statistically significant differences in preoperative fasting triglycerides, preoperative fasting glucose, preoperative and postoperative creatinine levels, ICU stay duration, and TyG-BMI levels (P < 0.05). Based on the results of univariate regression analysis, a multivariate logistic regression model A was constructed using all significant variables, and a multivariate logistic regression model 2 was constructed using significant variables other than TyG-BMI. ROC analysis showed that model 2 had better predictive performance than model 1 (AUC = 0.836 vs. 0.766). A positive correlation was observed between TyG-BMI and AKI occurrence (Spearman’s correlation coefficient: R = 0.33, P = 0.00019). Conclusion Elevated TyG-BMI levels are closely associated with AKI in diabetic patients after CABG. TyG-BMI has potentially predictive value for AKI in diabetic patients after CABG and may play a crucial role in risk stratification in clinical practice.https://doi.org/10.1186/s13019-025-03455-1Triglyceride-glucoseBody mass indexCoronary artery bypass graftingAcute kidney injuryInsulin resistance |
| spellingShingle | Chen Li Xiaobin Liu Xingping Lv Wei Zhou Guoliang Fan Feng Zhu The application of the triglyceride-glucose-body mass index (TyG-BMI) in predicting acute kidney injury in diabetic patients following coronary artery bypass grafting surgery Journal of Cardiothoracic Surgery Triglyceride-glucose Body mass index Coronary artery bypass grafting Acute kidney injury Insulin resistance |
| title | The application of the triglyceride-glucose-body mass index (TyG-BMI) in predicting acute kidney injury in diabetic patients following coronary artery bypass grafting surgery |
| title_full | The application of the triglyceride-glucose-body mass index (TyG-BMI) in predicting acute kidney injury in diabetic patients following coronary artery bypass grafting surgery |
| title_fullStr | The application of the triglyceride-glucose-body mass index (TyG-BMI) in predicting acute kidney injury in diabetic patients following coronary artery bypass grafting surgery |
| title_full_unstemmed | The application of the triglyceride-glucose-body mass index (TyG-BMI) in predicting acute kidney injury in diabetic patients following coronary artery bypass grafting surgery |
| title_short | The application of the triglyceride-glucose-body mass index (TyG-BMI) in predicting acute kidney injury in diabetic patients following coronary artery bypass grafting surgery |
| title_sort | application of the triglyceride glucose body mass index tyg bmi in predicting acute kidney injury in diabetic patients following coronary artery bypass grafting surgery |
| topic | Triglyceride-glucose Body mass index Coronary artery bypass grafting Acute kidney injury Insulin resistance |
| url | https://doi.org/10.1186/s13019-025-03455-1 |
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