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Abstract：
BACKGROUND: The correlation between the triglyceride-glucose index (TyG) and the prognosis of ischemic stroke has been well established. This study aims to assess the influence of the TyG index on the clinical outcomes of critically ill individuals suffering from intracerebral hemorrhage (ICH).
METHODS: Patients diagnosed with ICH were retrospectively retrieved from the Medical Information Mart for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Various statistical methods, including restricted cubic spline (RCS) regression, multivariable logistic regression, subgroup analysis, and sensitivity analysis, were employed to examine the relationship between the TyG index and the primary outcomes of ICH.
RESULTS: A total of 791 patients from MIMIC-IV and 1,113 ones from eICU-CRD were analyzed. In MIMIC-IV, the in-hospital and ICU mortality rates were 14% and 10%, respectively, while in eICU-CRD, they were 16% and 8%. Results of the RCS regression revealed a consistent linear relationship between the TyG index and the risk of in-hospital and ICU mortality across the entire study population of both databases. Logistic regression analysis revealed a significant positive association between the TyG index and the likelihood of in-hospital and ICU death among ICH patients in both databases. Subgroup and sensitivity analysis further revealed an interaction between patients\' age and the TyG index in relation to in-hospital and ICU mortality among ICH patients. Notably, for patients over 60 years old, the association between the TyG index and the risk of in-hospital and ICU mortality was more pronounced compared to the overall study population in both MIMIC-IV and eICU-CRD databases, suggesting a synergistic effect between old age (over 60 years) and the TyG index on the in-hospital and ICU mortality of patients with ICH.
CONCLUSIONS: This study established a positive correlation between the TyG index and the risk of in-hospital and ICU mortality in patients over 60 years who diagnosed with ICH, suggesting that the TyG index holds promise as an indicator for risk stratification in this patient population.
METHODS: Patients diagnosed with ICH were retrospectively retrieved from the Medical Information Mart for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Various statistical methods, including restricted cubic spline (RCS) regression, multivariable logistic regression, subgroup analysis, and sensitivity analysis, were employed to examine the relationship between the TyG index and the primary outcomes of ICH.
RESULTS: A total of 791 patients from MIMIC-IV and 1,113 ones from eICU-CRD were analyzed. In MIMIC-IV, the in-hospital and ICU mortality rates were 14% and 10%, respectively, while in eICU-CRD, they were 16% and 8%. Results of the RCS regression revealed a consistent linear relationship between the TyG index and the risk of in-hospital and ICU mortality across the entire study population of both databases. Logistic regression analysis revealed a significant positive association between the TyG index and the likelihood of in-hospital and ICU death among ICH patients in both databases. Subgroup and sensitivity analysis further revealed an interaction between patients\' age and the TyG index in relation to in-hospital and ICU mortality among ICH patients. Notably, for patients over 60 years old, the association between the TyG index and the risk of in-hospital and ICU mortality was more pronounced compared to the overall study population in both MIMIC-IV and eICU-CRD databases, suggesting a synergistic effect between old age (over 60 years) and the TyG index on the in-hospital and ICU mortality of patients with ICH.
CONCLUSIONS: This study established a positive correlation between the TyG index and the risk of in-hospital and ICU mortality in patients over 60 years who diagnosed with ICH, suggesting that the TyG index holds promise as an indicator for risk stratification in this patient population.
摘要：
背景：甘油三酯-葡萄糖指数（TyG）与缺血性卒中的预后之间的相关性已得到很好的确定。这项研究旨在评估TyG指数对患有脑出血（ICH）的危重病人的临床结局的影响。
方法：从重症监护医学信息集市（MIMIC-IV）和eICU合作研究数据库（eICU-CRD）中回顾性检索诊断为ICH的患者。各种统计方法，包括约束三次样条(RCS)回归，多变量逻辑回归，亚组分析，和敏感性分析，用于检查TyG指数与ICH主要结局之间的关系。
结果：共分析了来自MIMIC-IV的791例患者和来自eICU-CRD的1,113例患者。在MIMIC-IV中，住院和ICU死亡率分别为14%和10%，分别,而在eICU-CRD中，分别为16%和8%。RCS回归结果显示，在两个数据库的整个研究人群中，TyG指数与住院和ICU死亡风险之间存在一致的线性关系。Logistic回归分析显示，在两个数据库中，TyG指数与ICH患者住院和ICU死亡的可能性之间存在显著正相关。亚组和敏感性分析进一步揭示了患者年龄和TyG指数与ICH患者院内和ICU死亡率之间的交互作用。值得注意的是,对于60岁以上的病人，与MIMIC-IV和eICU-CRD数据库中的总体研究人群相比,TyG指数与院内死亡和ICU死亡风险之间的关联更为显著,提示老年（60岁以上）和TyG指数对ICH患者的院内和ICU死亡率有协同作用。
结论：本研究在诊断为ICH的60岁以上患者中，建立了TyG指数与院内死亡和ICU死亡风险之间的正相关关系。这表明TyG指数有望作为该患者人群风险分层的指标。
方法：从重症监护医学信息集市（MIMIC-IV）和eICU合作研究数据库（eICU-CRD）中回顾性检索诊断为ICH的患者。各种统计方法，包括约束三次样条(RCS)回归，多变量逻辑回归，亚组分析，和敏感性分析，用于检查TyG指数与ICH主要结局之间的关系。
结果：共分析了来自MIMIC-IV的791例患者和来自eICU-CRD的1,113例患者。在MIMIC-IV中，住院和ICU死亡率分别为14%和10%，分别,而在eICU-CRD中，分别为16%和8%。RCS回归结果显示，在两个数据库的整个研究人群中，TyG指数与住院和ICU死亡风险之间存在一致的线性关系。Logistic回归分析显示，在两个数据库中，TyG指数与ICH患者住院和ICU死亡的可能性之间存在显著正相关。亚组和敏感性分析进一步揭示了患者年龄和TyG指数与ICH患者院内和ICU死亡率之间的交互作用。值得注意的是,对于60岁以上的病人，与MIMIC-IV和eICU-CRD数据库中的总体研究人群相比,TyG指数与院内死亡和ICU死亡风险之间的关联更为显著,提示老年（60岁以上）和TyG指数对ICH患者的院内和ICU死亡率有协同作用。
结论：本研究在诊断为ICH的60岁以上患者中，建立了TyG指数与院内死亡和ICU死亡风险之间的正相关关系。这表明TyG指数有望作为该患者人群风险分层的指标。
