Elevated Triglyceride-Glucose (TyG) Index Predicts Poor Clinical Outcomes in Critically Ill AECOPD Patients: A Retrospective Study

Xin Wang,1,&ast; Xuerong Cui,2,&ast; Huaping Fan,3 Tianyang Hu4 1Department of Respiratory and Critical Care Medicine, Deyang People’s Hospital, Deyang, Sichuan, 618099, People’s Republic of China; 2Department of Respiratory Medicine, People’s Hospital of Shizhu Tujia Autonomous County, Chongqing, 409199, People’s Republic of China; 3Department of Cardiology, 63650 Military Hospital, Urumqi, Xinjiang, 841700, People’s Republic of China; 4Precision Medicine Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Huaping Fan, Email [email protected]; Tianyang Hu, Email [email protected]: The triglyceride-glucose (TyG) index is a surrogate biomarker of insulin resistance which has been widely used in intensive care unit (ICU) to predict prognosis. However, its role in critically ill acute exacerbation of COPD (AECOPD) patients remains largely unknown.Material and methods: A total of 645 AECOPD patients were induced in this retrospective cohort study, which extracted data from the eICU Collaborative Research Database (eICU-CRD). The TyG index was calculated as Ln (fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2). The primary endpoint includes in-hospital mortality and ICU mortality. The secondary endpoint was sepsis, acute kidney injury (AKI), and acute respiratory failure (ARF).Results: Multivariable Cox regression analysis revealed that the TyG index was independently associated with an increased risk of in-hospital mortality (hazard ratio, HR: 1.45, 95% CI: 1.04– 2.01, P = 0.028) and ICU mortality (HR: 2.13, 95% CI: 1.28– 3.54, P = 0.004). Moreover, the TyG index was independently associated with an increased risk of sepsis (odds ratio, OR: 1.54, 95% CI: 1.24– 1.93, P < 0.001), AKI (OR: 1.57, 95% CI: 1.26– 2.02, P < 0.001) and ARF (OR: 1.50, 95% CI: 1.20– 1.87, P < 0.001). Kaplan–Meier survival analysis revealed that higher TyG indexes were also related to increased in-hospital mortality and ICU mortality. In addition, the restricted cubic splines regression model demonstrated that the in-hospital mortality and ICU mortality increased linearly with increasing TyG index (P for non-linearity = 0.897, P for non-linearity = 0.897, respectively).Conclusion: Elevated TyG index was independently associated with an increased risk of poor clinical outcomes in critically ill AECOPD patients. A prospective study to define TyG as a biomarker for prognosis prediction in critically ill AECOPD patients is warranted.Keywords: triglyceride-glucose index, AECOPD, mortality, eICU-CRD database

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SHILAP Revista de lepidopterología
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2024-10-01
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Hyperglycemia and glycemic control in critically ill and hospitalized patients
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article

Elevated Triglyceride-Glucose (TyG) Index Predicts Poor Clinical Outcomes in Critically Ill AECOPD Patients: A Retrospective Study

SHILAP Revista de lepidopterología
Hyperglycemia and glycemic control in critically ill and hospitalized patients
article

Elevated Triglyceride-Glucose (TyG) Index Predicts Poor Clinical Outcomes in Critically Ill AECOPD Patients: A Retrospective Study

article en

Abstract

Xin Wang,1,&ast; Xuerong Cui,2,&ast; Huaping Fan,3 Tianyang Hu4 1Department of Respiratory and Critical Care Medicine, Deyang People’s Hospital, Deyang, Sichuan, 618099, People’s Republic of China; 2Department of Respiratory Medicine, People’s Hospital of Shizhu Tujia Autonomous County, Chongqing, 409199, People’s Republic of China; 3Department of Cardiology, 63650 Military Hospital, Urumqi, Xinjiang, 841700, People’s Republic of China; 4Precision Medicine Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Huaping Fan, Email [email protected]; Tianyang Hu, Email [email protected]: The triglyceride-glucose (TyG) index is a surrogate biomarker of insulin resistance which has been widely used in intensive care unit (ICU) to predict prognosis. However, its role in critically ill acute exacerbation of COPD (AECOPD) patients remains largely unknown.Material and methods: A total of 645 AECOPD patients were induced in this retrospective cohort study, which extracted data from the eICU Collaborative Research Database (eICU-CRD). The TyG index was calculated as Ln (fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2). The primary endpoint includes in-hospital mortality and ICU mortality. The secondary endpoint was sepsis, acute kidney injury (AKI), and acute respiratory failure (ARF).Results: Multivariable Cox regression analysis revealed that the TyG index was independently associated with an increased risk of in-hospital mortality (hazard ratio, HR: 1.45, 95% CI: 1.04– 2.01, P = 0.028) and ICU mortality (HR: 2.13, 95% CI: 1.28– 3.54, P = 0.004). Moreover, the TyG index was independently associated with an increased risk of sepsis (odds ratio, OR: 1.54, 95% CI: 1.24– 1.93, P < 0.001), AKI (OR: 1.57, 95% CI: 1.26– 2.02, P < 0.001) and ARF (OR: 1.50, 95% CI: 1.20– 1.87, P < 0.001). Kaplan–Meier survival analysis revealed that higher TyG indexes were also related to increased in-hospital mortality and ICU mortality. In addition, the restricted cubic splines regression model demonstrated that the in-hospital mortality and ICU mortality increased linearly with increasing TyG index (P for non-linearity = 0.897, P for non-linearity = 0.897, respectively).Conclusion: Elevated TyG index was independently associated with an increased risk of poor clinical outcomes in critically ill AECOPD patients. A prospective study to define TyG as a biomarker for prognosis prediction in critically ill AECOPD patients is warranted.Keywords: triglyceride-glucose index, AECOPD, mortality, eICU-CRD database

SHILAP Revista de lepidopterología
Openalex Percentile: Top 44%
Hyperglycemia and glycemic control in critically ill and hospitalized patients
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