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Heart Lung Circ ; 19(1): 19-25, 2010 Jan.
Article in English | MEDLINE | ID: mdl-19926337

ABSTRACT

BACKGROUND: Primary percutaneous coronary intervention (PPCI) has evolved, including the introduction of stents and platelet glycoprotein IIb/IIIa receptor inhibitors (GPI). The effects of these changes and other variables on long-term survival for a single-centre service were studied. METHODS: A prospective database of clinical and angiographic variables were kept for patients treated with PPCI in Waikato Hospital from 1996 to 2006 (n=527). This was analysed with long-term mortality data. Survival was recorded using Kaplan-Meier curves. Multivariate analysis of factors at presentation, including ethnicity was performed. RESULTS: 5, 8 & 10-year survival rates were 76.5% (n=274), 72.7% (n=125) & 71.0% (n=19) respectively. Increased stent (42.8% vs. 84.1%, p<0.001) and GPI (39.6% vs. 73.3%, p<0.001) use was seen between early and late stages of the study. Stent use was associated with greater 5-year survival (80.5% vs. 70.8%, p=0.02), but GPI use was not. Multivariate analysis showed stent use independently predicted reduced mortality. Age, Maori ethnicity, renal failure and cardiogenic shock predicted higher mortality. CONCLUSIONS: Survival after PPCI remains high long-term. Stent and GPI use significantly increased. Stent, but not GPI, use was associated with improved survival. Maori ethnicity was under-represented in the study and is associated with worse long-term outcomes after myocardial infarction (MI).


Subject(s)
Angioplasty, Balloon, Coronary/mortality , Drug-Eluting Stents , Myocardial Infarction/therapy , Platelet Aggregation Inhibitors/therapeutic use , Platelet Glycoprotein GPIIb-IIIa Complex/antagonists & inhibitors , Adult , Aged , Aged, 80 and over , Angioplasty, Balloon, Coronary/statistics & numerical data , Confidence Intervals , Databases, Factual , Female , Humans , Kaplan-Meier Estimate , Male , Middle Aged , Myocardial Infarction/ethnology , Myocardial Infarction/mortality , New Zealand/epidemiology , Proportional Hazards Models , Prospective Studies , Time Factors , Young Adult
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