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DOI 10.1016/j.medine.2025.502308

Медицинская библиотека · Medicina intensiva · 2025

U-shaped association between triglyceride/HDL ratio and all-cause mortality in obese sepsis patients: A retrospective study based on eICU database.

Wu Yaozhou, Sun Yingying, Wang Ruirui, Liu Qianqian, Wang Wenjie, Guo Rubing, Zhao Wei, Wei Lianhua

СтатьяНаблюдательное исследованиеПеревод в очереди

Аннотация

OBJECTIVE

This study explored the link between the TG/HDL ratio and mortality in obese sepsis patients using the eICU database.

DESIGN

Retrospective observational study.

SETTING

Intensive Care Medicine.

PATIENTS: According to Sepsis 3.0 criteria, sepsis is diagnosed with infection and a SOFA score ≥2. This study included adults (age ≥18) with ICU stays ≥48 h to ensure data stability. Patients with diabetes, acute pancreatitis, or those on lipid-lowering or antidiabetic treatments were excluded due to their impact on lipid and glucose metabolism, which could bias the analysis of the TG/HDL ratio and all-cause mortality.

INTERVENTIONS: 938 obese sepsis patients were selected, and statistical methods (variable assessment, difference test, regression model, curve fitting, subgroup analysis) were used. The study was carried out using R 4.3.2 software.

MAIN VARIABLES OF INTEREST: TG/HDL.

RESULTS

The TG/HDL ratio varied across quartiles and was significantly linked to mortality in obese sepsis patients. Regression and curve fitting showed a U-shaped relationship for TG/HDL < 8, with an inflection point at 3.59. The K-M curve confirmed this U-shaped pattern, and subgroup analysis revealed a significant interaction with hypertension.

CONCLUSIONS

A U-shaped relationship exists between TG/HDL and mortality in obese sepsis patients, with both low and high levels increasing death risk.

Для цитирования: Wu Yaozhou, Sun Yingying, Wang Ruirui, Liu Qianqian, Wang Wenjie, Guo Rubing, Zhao Wei, Wei Lianhua. U-shaped association between triglyceride/HDL ratio and all-cause mortality in obese sepsis patients: A retrospective study based on eICU database.. Medicina intensiva. 2025. DOI: 10.1016/j.medine.2025.502308.

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