High lipoprotein(a) ≥50 mg/dL in angina patients undergoing PCI with DES was associated with significantly higher rates of binary restenosis compared to levels <50 mg/dL (19.8% vs 7.9%, P=0.001).
Cohort (n=595)
Do high Lipoprotein(a) levels predict in-stent restenosis and adverse clinical outcomes in angina pectoris patients undergoing elective PCI with drug-eluting stents?
High Lipoprotein(a) levels (≥ 50 mg/dL) are a significant predictor of in-stent restenosis and long-term adverse cardiovascular events in Asian patients undergoing elective PCI with drug-eluting stents.
Absolute Event Rate: 19.8% vs 7.9%
p-value: p=0.001
Lipoprotein(a) (Lp(a)) is known to be associated with cardiovascular complications and atherothrombotic properties in general populations. However, it has not been examined whether Lp(a) levels are able to predict adverse cardiovascular outcomes in patients undergoing percutaneous coronary intervention (PCI) with drug-eluting stents (DES). A total of 595 consecutive patients with angina pectoris who underwent elective PCI with DES were enrolled from 2004 to 2010. The patients were divided into two groups according to the levels of Lp(a): Lp(a) 50 mg/dL was significantly associated with the 3-year adverse clinical outcomes including any myocardial infarction, revascularization (target lesion revascularization (TLR) and target vessel revascularization (TVR)), TLR-major adverse cardiac events (MACEs), TVR-MACE, and All-MACEs. In our study, high Lp(a) level ≥ 50 mg/dL in angina pectoris patients undergoing elective PCI with DES was significantly associated with binary restenosis and 3-year adverse clinical outcomes in an Asian population.
Park et al. (Thu,) conducted a cohort in Angina pectoris (n=595). High Lipoprotein(a) ≥ 50 mg/dL vs. Low Lipoprotein(a) < 50 mg/dL was evaluated on Binary restenosis at 6-9 months (p=0.001). High lipoprotein(a) ≥50 mg/dL in angina patients undergoing PCI with DES was associated with significantly higher rates of binary restenosis compared to levels <50 mg/dL (19.8% vs 7.9%, P=0.001).
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