Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation.

IF 3.9 2区医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Lipids in Health and Disease Pub Date : 2024-12-20 DOI:10.1186/s12944-024-02390-9

Huijun Jin, Xuefeng Xu, Chun Ma, Xinghai Hao, Jinglan Zhang

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引用次数: 0

Abstract

Background: We determined utilizing a sepsis participant cohort whether there is a significant association between TyG-BMI (triglyceride glucose body mass index) and mortality rates at any stage.

Methods: Herein, a historical cohort investigation approach was adopted, using information provided by the Medical Information Mart for Intensive Care-IV (MIMIC-IV). We categorized the included individuals in accordance with their TyG-BMI data quartiles, and the primary outcomes were mortality during the hospital stay and death rate due to any reason at postadmission day 28, 90, and 365. To evaluate TyG-BMI mortality's relationship with sepsis-induced mortality risk, we employed restricted cubic spline regression (RCS) and Cox regression models. Additionally, we confirmed TyG-BMI's significant predictive value for mortality via machine learning methods. Furthermore, we performed subgroup analyses to investigate possible differences among various patient groups.

Results: The cohort included 4759 individuals, aged 63.9 ± 15.0 years, involving 2885 males (60.6%). The rates of death that took place during hospital stay and at 28, 90 and 365 days postadmission were respectively 19.60%, 24.70%, 28.80%, and 35.20%. As reflected by Cox models, TyG-BMI was negatively associated with mortality risk at various intervals: in-hospital [hazard ratio (HR) 0.47 (0.39-0.56), P = 0.003], 28 days postadmission [HR 0.42 (0.35-0.49), P < 0.001], 90 days postadmission [HR 0.41 (0.35-0.48), P < 0.001], and 365 days postadmission [HR 0.41 (0.35-0.47), P < 0.001]. Additionally, the relationship between TyG-BMI and death rates was L-shaped, as reflected by the RCS, with a TyG-BMI of 249 being the turning point.

Conclusions: Among sepsis patients in critical care, TyG-BMI is negatively correlated with mortality possibility at various intervals: during hospital stay and 28 days, 90 days, and one year postadmission. TyG-BMI is a beneficial parameter for categorizing risk levels among sepsis patients and for predicting their mortality risk within one year.

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危重症脓毒症患者全因死亡率与甘油三酯葡萄糖体重指数之间的关系：一项回顾性队列调查

背景：我们利用脓毒症参与者队列确定TyG-BMI（甘油三酯葡萄糖体重指数）与任何阶段的死亡率之间是否存在显著关联。方法：本文采用历史队列调查方法，使用重症监护医学信息市场- iv （MIMIC-IV）提供的信息。我们根据他们的TyG-BMI数据四分位数对纳入的个体进行分类，主要结局是住院期间的死亡率和入院后第28、90和365天因任何原因导致的死亡率。为了评估TyG-BMI死亡率与败血症引起的死亡风险的关系，我们采用了限制性三次样条回归（RCS）和Cox回归模型。此外，我们通过机器学习方法证实了TyG-BMI对死亡率的显著预测价值。此外，我们进行了亚组分析，以调查不同患者组之间可能存在的差异。结果：纳入4759人，年龄63.9±15.0岁，其中男性2885人（60.6%）。住院期间和入院后28天、90天和365天的死亡率分别为19.60%、24.70%、28.80%和35.20%。Cox模型显示，TyG-BMI与住院期间[风险比（HR） 0.47 (0.39-0.56), P = 0.003]、入院后28天[HR 0.42(0.35-0.49)]、住院后1年各时间间隔的死亡风险呈负相关。结论：在危重症患者中，TyG-BMI与住院期间、入院后28天、90天、1年的死亡可能性呈负相关。TyG-BMI是脓毒症患者危险等级分类和预测一年内死亡风险的有益参数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Lipids in Health and Disease 生物-生化与分子生物学

CiteScore

7.70

自引率

2.20%

发文量

122

审稿时长

3-8 weeks

期刊介绍： Lipids in Health and Disease is an open access, peer-reviewed, journal that publishes articles on all aspects of lipids: their biochemistry, pharmacology, toxicology, role in health and disease, and the synthesis of new lipid compounds. Lipids in Health and Disease is aimed at all scientists, health professionals and physicians interested in the area of lipids. Lipids are defined here in their broadest sense, to include: cholesterol, essential fatty acids, saturated fatty acids, phospholipids, inositol lipids, second messenger lipids, enzymes and synthetic machinery that is involved in the metabolism of various lipids in the cells and tissues, and also various aspects of lipid transport, etc. In addition, the journal also publishes research that investigates and defines the role of lipids in various physiological processes, pathology and disease. In particular, the journal aims to bridge the gap between the bench and the clinic by publishing articles that are particularly relevant to human diseases and the role of lipids in the management of various diseases.