Background: The pathogenetic mechanism of atherosclerotic cardiovascular diseases is associated with insulin resistance (IR), which serves as a metabolic risk factor. As a novel indication for IR, triglyceride-glucose (TyG) index may predict cardiovascular disease outcomes.
Methods: In current study, a cohort of 157 individuals with newly developed de novo lesions who received DCB angioplasty between January 2017 and May 2021 were included. The midterm follow-up clinical results consisted of the presence of vessel-oriented composite endpoint (VOCE). The baseline TyG index was divided into three groups by tertiles. This study compared various clinical characteristics and parameters among different groups during DCB angioplasty. A multivariate Cox regression model was built to investigate the potential predictors.
Results: Higher TyG index indicated an increased risk of VOCE according to the adjusted model (HR = 4.0, 95%Cl: 1.0-15.4, P = 0.047). A non-linear correlation was uncovered between the index and VOCE from the smooth curve. Based on Kaplan-Meier curve, individuals in the highest TyG index group were more likely to develop VOCE (P < 0.05 for log-rank).
Conclusions: The incidence of VOCE was shown to be independently and positively correlated with an elevated TyG index in individuals with de novo coronary lesions who received DCB angioplasty.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613374 | PMC |
| http://dx.doi.org/10.1186/s12944-023-01951-8 | DOI Listing |
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- The study investigated how different treatments (balloon angioplasty vs. drug-coated balloons) affect the changes in blood vessel tissues following arteriovenous fistula stenosis in pigs with chronic kidney disease.
- Significant differences in tissue composition were observed, with drug-coated balloons leading to lower neointimal growth and higher endothelial cell counts compared to standard angioplasty.
- The findings suggest that using drug-coated balloons may improve vessel healing and reduce complications over time, as shown by varied immune cell responses and tissue growth patterns.
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