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Influence of age on the association between the triglyceride-glucose index and all-cause mortality in patients with cardiovascular diseases

Lu Wang, Yang Wang, Rui Liu, Lin Xu, Wen Zhong, Lijuan Li, Changyi Wang, Chengqi He, Chenying Fu, Quan Wei

2022Lipids in Health and Disease28 citationsDOIOpen Access PDF

Abstract

BACKGROUND: In patients with cardiovascular diseases, it is reported that the triglyceride-glucose index (TGI) potentially indicates prognosis. However, the results are controversial. Moreover, whether age has an impact on the predictive value of TGI remains unclear. METHODS: Participants with cardiovascular diseases were enrolled using the China Health and Retirement Longitudinal Study (CHARLS) registry. TGI was calculated as ln (triglyceride×glucose/2). The survival status was recorded every 2 years in the follow-up waves. Multivariate regression analysis was carried out to determine the relationship between TGI levels and long-term all-cause mortality in patients grouped by different age. Patients younger than 65 years old were regarded as middle-aged group. Otherwise, they were classified as old group. RESULTS: In total, 2923 patients with cardiovascular diseases and baseline blood test results were included. After 7 years of follow-up, 242 (8.91%) patients died. Cox regression analysis revealed that higher TGI levels were associated with a higher risk of long-term all-cause mortality in middle-aged participants (hazard ratio [HR], 3.64; 95% confidence interval [CI] 1.44-9.22, P = 0.006) but not in old participants (HR 1.20, 95% CI 0.62-2.32, P = 0.594, P for interaction = 0.017), after adjusting physical activity and other factors. Kaplan-Meier estimate analysis and restricted cubic spline curves showed similar results. CONCLUSION: TGI was a promising marker for predicting all-cause mortality in middle-aged patients after cardiovascular diseases. Patients younger than 65 years old who have a higher level of TGI may develop a higher risk of all-cause mortality, and they are encouraged to control vascular risk factors and take more physical activity to improve their prognosis. Additionally, whether intervention in regulating TGI levels is beneficial for the prognosis of these patients needs further investigation.

Topics & Concepts

MedicineHazard ratioInternal medicineLipidologyProportional hazards modelConfidence intervalClinical nutritionBody mass indexBayesian multivariate linear regressionMultivariate analysisClinical chemistryRegression analysisComputer scienceMachine learningDiabetes, Cardiovascular Risks, and LipoproteinsCardiovascular Function and Risk FactorsHyperglycemia and glycemic control in critically ill and hospitalized patients