Yiming Hua, Ze Chen, Lele Cheng, Ning Ding, Yifei Xie, Hao Wu, Huaizhi Jing, Yu Xu, Yue Wu, Beidi Lan
{"title":"TyG-BMI指数作为心力衰竭患者急性肾损伤的有价值的风险:来自MIMIC-IV和eICU队列的见解","authors":"Yiming Hua, Ze Chen, Lele Cheng, Ning Ding, Yifei Xie, Hao Wu, Huaizhi Jing, Yu Xu, Yue Wu, Beidi Lan","doi":"10.1111/jdi.70133","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The triglyceride glucose-body mass index (TyG-BMI) has emerged as a predictor of complications in patients with heart failure (HF). While elevated TyG-BMI levels have been linked to adverse outcomes in HF patients, their predictive value for acute kidney injury (AKI) risk remains unclear. This study aimed to examine the association between TyG-BMI and the incidence of AKI in patients with HF.</p><p><strong>Methods: </strong>Data were obtained from the Medical Information Mart for Intensive Care-IV version 3.1 (MIMIC-IV v3.1) and the eICU Collaborative Research Database version 2.0 (eICU-CRD v2.0). The primary outcome was the occurrence of AKI, with secondary outcomes including the need for renal replacement therapy (RRT) and in-hospital mortality. Kaplan-Meier survival analysis, restricted cubic spline modeling, and Cox proportional hazards regression models were used to assess the associations between TyG-BMI and clinical outcomes.</p><p><strong>Results: </strong>The study included 1,250 patients from MIMIC-IV and 2,300 patients from eICU-CRD. Patients with higher TyG-BMI levels had a significantly higher cumulative incidence of AKI and increased rates of RRT use and in-hospital mortality. After adjusting for potential confounders, higher TyG-BMI remained independently associated with an increased risk of AKI among HF patients in multivariable models.</p><p><strong>Conclusion: </strong>This multicenter analysis demonstrates that higher TyG-BMI levels are associated with an increased risk of AKI, greater need for RRT, and higher in-hospital mortality in patients with HF. TyG-BMI may serve as a useful marker for early risk stratification and prognostic assessment in this population. Further prospective studies are needed to validate these findings.</p>","PeriodicalId":190,"journal":{"name":"Journal of Diabetes Investigation","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TyG-BMI index as a valuable risk of acute kidney injury in patients with heart failure: Insights from the MIMIC-IV and eICU cohorts.\",\"authors\":\"Yiming Hua, Ze Chen, Lele Cheng, Ning Ding, Yifei Xie, Hao Wu, Huaizhi Jing, Yu Xu, Yue Wu, Beidi Lan\",\"doi\":\"10.1111/jdi.70133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The triglyceride glucose-body mass index (TyG-BMI) has emerged as a predictor of complications in patients with heart failure (HF). While elevated TyG-BMI levels have been linked to adverse outcomes in HF patients, their predictive value for acute kidney injury (AKI) risk remains unclear. This study aimed to examine the association between TyG-BMI and the incidence of AKI in patients with HF.</p><p><strong>Methods: </strong>Data were obtained from the Medical Information Mart for Intensive Care-IV version 3.1 (MIMIC-IV v3.1) and the eICU Collaborative Research Database version 2.0 (eICU-CRD v2.0). The primary outcome was the occurrence of AKI, with secondary outcomes including the need for renal replacement therapy (RRT) and in-hospital mortality. Kaplan-Meier survival analysis, restricted cubic spline modeling, and Cox proportional hazards regression models were used to assess the associations between TyG-BMI and clinical outcomes.</p><p><strong>Results: </strong>The study included 1,250 patients from MIMIC-IV and 2,300 patients from eICU-CRD. Patients with higher TyG-BMI levels had a significantly higher cumulative incidence of AKI and increased rates of RRT use and in-hospital mortality. After adjusting for potential confounders, higher TyG-BMI remained independently associated with an increased risk of AKI among HF patients in multivariable models.</p><p><strong>Conclusion: </strong>This multicenter analysis demonstrates that higher TyG-BMI levels are associated with an increased risk of AKI, greater need for RRT, and higher in-hospital mortality in patients with HF. TyG-BMI may serve as a useful marker for early risk stratification and prognostic assessment in this population. Further prospective studies are needed to validate these findings.</p>\",\"PeriodicalId\":190,\"journal\":{\"name\":\"Journal of Diabetes Investigation\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Diabetes Investigation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/jdi.70133\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Investigation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jdi.70133","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
TyG-BMI index as a valuable risk of acute kidney injury in patients with heart failure: Insights from the MIMIC-IV and eICU cohorts.
Background: The triglyceride glucose-body mass index (TyG-BMI) has emerged as a predictor of complications in patients with heart failure (HF). While elevated TyG-BMI levels have been linked to adverse outcomes in HF patients, their predictive value for acute kidney injury (AKI) risk remains unclear. This study aimed to examine the association between TyG-BMI and the incidence of AKI in patients with HF.
Methods: Data were obtained from the Medical Information Mart for Intensive Care-IV version 3.1 (MIMIC-IV v3.1) and the eICU Collaborative Research Database version 2.0 (eICU-CRD v2.0). The primary outcome was the occurrence of AKI, with secondary outcomes including the need for renal replacement therapy (RRT) and in-hospital mortality. Kaplan-Meier survival analysis, restricted cubic spline modeling, and Cox proportional hazards regression models were used to assess the associations between TyG-BMI and clinical outcomes.
Results: The study included 1,250 patients from MIMIC-IV and 2,300 patients from eICU-CRD. Patients with higher TyG-BMI levels had a significantly higher cumulative incidence of AKI and increased rates of RRT use and in-hospital mortality. After adjusting for potential confounders, higher TyG-BMI remained independently associated with an increased risk of AKI among HF patients in multivariable models.
Conclusion: This multicenter analysis demonstrates that higher TyG-BMI levels are associated with an increased risk of AKI, greater need for RRT, and higher in-hospital mortality in patients with HF. TyG-BMI may serve as a useful marker for early risk stratification and prognostic assessment in this population. Further prospective studies are needed to validate these findings.
期刊介绍:
Journal of Diabetes Investigation is your core diabetes journal from Asia; the official journal of the Asian Association for the Study of Diabetes (AASD). The journal publishes original research, country reports, commentaries, reviews, mini-reviews, case reports, letters, as well as editorials and news. Embracing clinical and experimental research in diabetes and related areas, the Journal of Diabetes Investigation includes aspects of prevention, treatment, as well as molecular aspects and pathophysiology. Translational research focused on the exchange of ideas between clinicians and researchers is also welcome. Journal of Diabetes Investigation is indexed by Science Citation Index Expanded (SCIE).