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Chinese Journal of Geriatrics Research(Electronic Edition) ›› 2025, Vol. 12 ›› Issue (02): 9-13. doi: 10.3877/cma.j.issn.2095-8757.2025.02.002

• Clinical Research • Previous Articles    

Value of the triglyceride-glucose index in predicting sarcopenia in elderly prediabetic patients

Xun Xiao, Xiangyu Zhang, Hui Gong()   

  1. Department of Geriatric, the Second Xiangya Hospital of Central South University, Changsha 410011, China
  • Received:2025-02-15 Online:2025-05-28 Published:2025-09-02
  • Contact: Hui Gong

Abstract:

Objective

To explore the predictive value of the triglyceride-glucose (TyG) index for diagnosing sarcopenia in elderly patients with prediabetes.

Methods

A single-center, cross-sectional study was conducted. General characteristics and laboratory test results were collected from prediabetic patients aged≥65 years attending the Second Xiangya Hospital of Central South University between January 2023 and June 2024. Participants were divided into sarcopenia and non-sarcopenia groups based on the presence of sarcopenia. Differences between groups were compared to identify potential risk factors for sarcopenia using χ2 test and t test. Pearson correlation analysis was used to assess the relationship between various indicators and appendicular skeletal muscle mass index (ASMI) and grip strength. Logistic regression analysis was employed to investigate risk factors for sarcopenia in prediabetic patients. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of the TyG index for sarcopenia in elderly prediabetic patients.

Results

A total of 211 elderly prediabetic patients were enrolled, including 102 males (accounting for 48.3%), with a mean age of (78.72±6.68) years. Sarcopenia was diagnosed in 107 patients. The TyG index was significantly higher in the sarcopenia group (8.81±0.54) than in the non-sarcopenia group (8.43±0.40) (t=5.820, P < 0.05). The TyG index showed a negative correlation with ASMI and grip strength (r=-0.224, -0.215; P < 0.01). It was identified as a risk factor for sarcopenia in prediabetic patients (OR=1.646, 95%CI: 0.426-6.358, P < 0.001). The area under the ROC curve (AUC) for the TyG index in predicting sarcopenia in elderly prediabetic patients was 0.706 (95%CI: 0.636-0.775). The optimal cut-off value was 8.631, with a sensitivity of 70.2% and specificity of 62.6%.

Conclusion

The TyG index may be an effective predictor of sarcopenia in elderly patients with prediabetes.

Key words: Sarcopenia, Prediabetes, Triglyceride-glucose index, Appendicular skeletal muscle mass index

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