Correlation of the triglyceride-glucose index and heart rate with 28-day all-cause mortality in severely ill patients: analysis of the MIMIC-IV database

• Published in: Lipids in health and disease 2024-11, Vol.23 (1), p.387-9, Article 387
• Main Authors: Shao, Yuekai, Gan, Zhikun, Wang, Taishan, Shao, Zhiqiang, Yu, Hong, Qin, Song, Mei, Hong, Chen, Tao, Fu, Xiaoyun, Liu, Guoyue, Chen, Miao
• Format: Article
• Language: English
• Subjects: Aged; Analysis; Blood; Blood Glucose - analysis; Blood Glucose - metabolism; Blood sugar; Care and treatment; China; Critical Illness - mortality; Critically ill; Databases, Factual; Dextrose; Female; Glucose; Health aspects; Heart beat; Heart Rate; Hospital Mortality; Humans; Hypertension; Intensive Care Units; Kaplan-Meier Estimate; Male; Measurement; Mediation; Mediation analysis; Medical examination; Medical research; Medicine, Experimental; Middle Aged; Mortality; Organ Dysfunction Scores; Patient outcomes; Prognosis; Proportional Hazards Models; Risk Factors; Severely ill patients; Triglyceride-glucose index; Triglycerides; Triglycerides - blood
• ISSN: 1476-511X; 1476-511X
• DOI: 10.1186/s12944-024-02358-9

Research has identified a link between the triglyceride-glucose index (TyG-i) and the risk of mortality in severely ill patients. However, it remains uncertain if the TyG-i affects mortality by influencing heart rate (HR). This study enrolled 3,509 severely ill participants from the Medical Information Mart for Intensive Care (MIMIC-IV) database who had triglyceride, glucose, and HR data upon entering the ICU. Cox regression models were applied to estimate the effect of the TyG-i and HR on 28-day all-cause mortality (ACM) and 28-day in-hospital mortality (IHM). Additionally, Kaplan-Meier (K-M) survival analysis was employed to explore outcome variations among different patient groups. The association of the TyG-i with HR, Sequential Organ Failure Assessment (SOFA) score, and Simplified Acute Physiology Score (SAPS) II was explored through linear regression analysis. Subgroup analysis explored potential interactions among patient characteristics, while sensitivity analysis gauged the robustness of the findings. Additionally, mediation analysis was conducted to assess whether elevated HR acts as an intermediary factor linking the TyG-i to both 28-day ACM and 28-day IHM. During the 28-day follow-up, 586 cases (16.7%) died from all causes, and 439 cases (12.5%) died during hospitalisation. Cox results showed that individuals with a heightened TyG-i and elevated HR had the highest 28-day ACM (Hazard Ratio 1.70, P-value below 0.001) and 28-day IHM (Hazard Ratio 1.72, P-value below 0.001) compared to those with a reduced TyG-i and HR. The K-M curves showed that individuals with low TyG-i and low HR had the lowest incidence of 28-day ACM and 28-day IHM. The linear analysis results evidenced that the TyG-i was independently connected to HR (beta = 3.05, P-value below 0.001), and the TyG-i was also independently associated with SOFA score (beta = 0.39, P-value below 0.001) and SAPS II (beta = 1.79, P-value below 0.001). Subgroup analysis revealed a significant association in participants without hypertension, the interaction of an elevated TyG-i and HR strongly correlated with a higher 28-day death risk (interaction P-value below 0.05). Furthermore, HR mediated 29.5% of the connection between the TyG-i and 28-day ACM (P-value = 0.002), as well as 20.4% of the connection between the TyG-i and 28-day IHM (P-value = 0.002). For severely ill patients, the TyG-i is distinctly correlated with HR, and elevated levels of both are strongly connected to greater 28-day ACM and