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. 2023 Nov 8;22(1):309.
doi: 10.1186/s12933-023-02047-4.

Association between triglyceride glucose-body mass and one-year all-cause mortality of patients with heart failure: a retrospective study utilizing the MIMIC-IV database

Jiahao Dou  1   2 , Chen Guo  1   2 , Yawen Wang  3 , Zihe Peng  3 , Ruiyun Wu  1   2 , Qiangqiang Li  1   2 , Hong Zhao  1   2 , Shoufang Song  1   2 , Xuelu Sun  1   2 , Jin Wei  4   5
Affiliations

Association between triglyceride glucose-body mass and one-year all-cause mortality of patients with heart failure: a retrospective study utilizing the MIMIC-IV database

Jiahao Dou et al. Cardiovasc Diabetol. .

Abstract

Background: The triglyceride glucose-body mass (TyG-BMI) index is acknowledged as both a reliable indicator of the risk of cardiovascular disease and an accurate surrogate biomarker for evaluating insulin resistance (IR). The importance of the TyG-BMI index among people with heart failure (HF), however, requires more investigation. The objective of this study was to inquire about the relationship between HF patients' TyG-BMI index and their risk of 360-day mortality.

Methods: The Medical Information Mart for Intensive Care (MIMIC-IV) database provided the study's patient data, which were divided into quartiles according to their TyG-BMI index. The endpoint was mortality from all causes within 360 days. Kaplan-Meier analysis was used to compare this primary endpoint amongst the four groups indicated above. The association between the TyG-BMI index and the endpoint was investigated using restricted cubic splines and Cox proportional hazards analysis.

Results: The study enrolled a total of 423 patients with HF (59.2% male), of whom 70 patients (16.9%) died within 360 days. Patients with higher TyG-BMI indexes had significantly lower mortality risks, according to the Kaplan-Meier analysis (log-rank P = 0.003). Furthermore, the restricted cubic spline analysis illustrated a decrease in the risk of all-cause mortality with an increasing TyG-BMI index. Additionally, multivariable Cox proportional hazards analyses showed that the risk of 360-day death from all causes was considerably higher in the lowest quartile of TyG-BMI. In comparison to the lowest TyG-BMI group, the fully adjusted Cox model yielded a hazard ratio (HR) of 0.24 (95% CI: 0.10, 0.59; p = 0.002) for 360-day mortality.

Conclusions: In patients diagnosed with HF, a lower TyG-BMI index is strongly related to a higher risk of 360-day mortality. This index can be employed to categorize the risk levels of patients with HF and predict their one-year all-cause mortality .

Keywords: Heart Failure; Insulin resistance; MIMIC-IV; Prognosis; Triglyceride glucose-body mass (TyG-BMI).

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flowchart of patient selection
Fig. 2
Fig. 2
Kaplan–Meier survival analysis curves for all-cause mortality TyG-BMI index: Q1 (44.30–209.09), Q2 (209.09–254.27), Q3 (254.27–314.09), Q4 (314.09–575.70). Kaplan–Meier curves showing the cumulative probability of all-cause mortality according to groups at 28-day (A), and 360-day (B)
Fig. 3
Fig. 3
Restricted cubic spline regression analysis of TyG-BMI index with in all-cause mortality Abbreviation :TyG-BMI index: triglyceride glucose-body mass index
Fig. 4
Fig. 4
ROC curve assesses the predictive capability of the TyG-BMI index for all-cause mortality Abbreviation: ROC, receiver-operating characteristic; TyG-BMI, triglyceride glucose-body mass index
See this image and copyright information in PMC

References

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