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Triglyceride-glucose index as a potential predictor of major adverse cardiovascular and cerebrovascular events in patients with coronary heart disease complicated with depression. | LitMetric

AI Article Synopsis

  • The Triglyceride-glucose (TyG) index serves as an indicator of insulin resistance and can predict adverse events in patients with coronary heart disease (CHD) who also suffer from depression.
  • A study tracked 596 patients over a median of 31 months, finding that those with a high TyG index had a significantly greater risk (69.73%) of major adverse cardiovascular and cerebrovascular events (MACCE) compared to those with a low index (23.63%).
  • The TyG index displayed strong predictive accuracy for MACCE, suggesting it could be an important tool for assessing risk in this vulnerable patient population, with a critical value set at 8.80.

Article Abstract

Background: Triglyceride-glucose (TyG) index is a surrogate marker of insulin resistance and metabolic abnormalities, which is closely related to the prognosis of a variety of diseases. Patients with both CHD and depression have a higher risk of major adverse cardiovascular and cerebrovascular events (MACCE) and worse outcome. TyG index may be able to predict the adverse prognosis of this special population.

Methods: The retrospective cohort study involved 596 patients with both CHD and depression between June 2013 and December 2023. The primary outcome endpoint was the occurrence of MACCE, including all-cause death, stroke, MI and emergent coronary revascularization. The receiver operating characteristic (ROC) curve, Cox regression analysis, Kaplan-Meier survival analysis, and restricted cubic spline (RCS) analysis were used to assess the correlation between TyG index and MACCE risk of in patients with CHD complicated with depression.

Results: With a median follow-up of 31 (15-62) months, MACCE occurred in 281(47.15%) patients. The area under the ROC curve of TyG index predicting the risk of MACCE was 0.765(0.726-0.804) (<0.01). Patients in the high TyG index group(69.73%) had a significantly higher risk of developing MACCE than those in the low TyG index group(23.63%) (<0.01). The multifactorial RCS model showed a nonlinear correlation (nonlinear <0.01, overall <0.01), with a critical value of 8.80 for the TyG index to predict the occurrence of MACCE. The TyG index was able to further improve the predictive accuracy of MACCE.

Conclusions: TyG index is a potential predictor of the risk of MACCE in patients with CHD complicated with depression.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11240118PMC
http://dx.doi.org/10.3389/fendo.2024.1416530DOI Listing

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