Impact of high-density lipoprotein 3 cholesterol subfraction on periprocedural myocardial injury in patients who underwent elective percutaneous coronary intervention.

Autor: Harada, Kazuhiro, Kikuchi, Ryosuke, Suzuki, Susumu, Tanaka, Akihito, Aoki, Toshijiro, Iwakawa, Naoki, Kojima, Hiroki, Hirayama, Kenshi, Mitsuda, Takayuki, Sumi, Takuya, Negishi, Yosuke, Ishii, Hideki, Murohara, Toyoaki
Předmět:
Zdroj: Lipids in Health & Disease; 2/2/2018, Vol. 17, p1-1, 1p, 1 Diagram, 3 Charts, 2 Graphs
Abstrakt: Background: Periprocedural myocardial injury (PMI) is a major complication of percutaneous coronary intervention (PCI) and is associated with atherosclerotic coronary plaque and worse clinical outcomes. High-density lipoprotein cholesterol (HDL-C) is a protective factor for cardiovascular disease. However, the role of HDL-C subfractions, such as HDL2 cholesterol (HDL2-C) or HDL3 cholesterol (HDL3-C), in cardiovascular disease remains unclear. The purpose of the study was to investigate the relationship between HDL2-C and HDL3-C subfractions and the incidence of PMI in patients who underwent elective PCI. Methods: We enrolled 129 patients who underwent elective PCI for stable angina pectoris. PMI was defined as an increase in high-sensitivity troponin T levels > 5 times the upper normal limit (> 0.070 ng/mL) at 24 h after PCI. Serum HDL-C subfractions (HDL2-C and HDL3-C) were assessed using ultracentrifugation in patients with and those without PMI. Results: HDL3-C levels were significantly lower in patients with PMI than in those without (15.1 ± 3.0 mg/dL vs. 16.4 ± 2.9 mg/dL, p = 0.016) and had an independent and inverse association with PMI (odds ratio, 0.86; 95% confidence interval, 0.74–0.99; p = 0.038). When divided by the cut-off value of HDL3-C for PMI (14.3 mg/dL), the incidence of PMI was significantly higher in low HDL3-C patients than in high HDL3-C patients (51.2% vs. 30.2%, p = 0.020). Conclusions: HDL3-C was an independent inverse predictor of PMI in patients who underwent elective PCI. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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