The triglyceride-glucose index predicts peripheral artery disease complexity
Bilge Duran Karaduman1, Hüseyin Ayhan1, Telat Keleş2
1Department of Cardiology, Faculty of Medicine, Atılım University, Medicana International Ankara Hospital, Ankara, Turkey
Turkish Journal of Medical Sciences
|July 29, 2020
Summary
The triglyceride-glucose (TyG) index, a marker of metabolic dysfunction, independently predicts the complexity of peripheral artery disease (PAD). Higher TyG index values correlate with more severe PAD classifications, highlighting its clinical relevance.
Area of Science:
- Cardiovascular Medicine
- Metabolic Syndrome Research
- Vascular Biology
Background:
- High triglyceride (TG) and fasting blood glucose (FBG) levels are established risk factors for atherosclerosis.
- Peripheral artery disease (PAD) severity and complexity significantly impact patient prognosis and treatment strategies.
Purpose of the Study:
- To evaluate the association between the triglyceride-glucose (TyG) index and the severity and complexity of PAD.
- To determine if the TyG index can serve as a predictor for PAD complexity using the TransAtlantic InterSociety Consensus-II (TASC-II) classification.
Main Methods:
- A retrospective analysis of 71 consecutive patients with PAD undergoing percutaneous peripheral intervention.
- Patients were categorized into two groups based on TASC-II classification: Group 1 (TASC A-B) and Group 2 (TASC C-D).
- The TyG index was calculated using the formula: ln[fasting TG (mg/dL) × fasting plasma glucose (mg/dL)/2].
Main Results:
- Group 2 (TASC C-D) exhibited significantly higher platelet counts and TyG index values compared to Group 1 (TASC A-B).
- The TyG index demonstrated a significant correlation with TASC-II classification, Rutherford category, HbA1c, and HDL-C levels.
- The study included a predominantly male population (93%) with a mean age of 63.3 years.
Conclusions:
- The triglyceride-glucose (TyG) index is identified as an independent predictor of peripheral artery disease complexity based on TASC-II classification.
- This finding represents a novel contribution to the understanding of metabolic markers in PAD.
- The TyG index may offer valuable insights for risk stratification and management of PAD patients.
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