Factors Associated with the Use of Drug-Eluting Stents in Patients Presenting with Acute ST-Segment Elevation Myocardial Infarction

Background. Drug-eluting stents (DES) have proven clinical superiority to bare-metal stents (BMS) for the treatment of patients with ST-segment elevation myocardial infarction (STEMI). Decision to implant BMS or DES is dependent on the patient’s ability to take dual antiplatelet therapy. This study...

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Main Authors: Jose F. Chavez, Jacob A. Doll, Anuj Mediratta, Francesco Maffessanti, Janet Friant, Jonathan D. Paul, John E. A. Blair, Sandeep Nathan, Neeraj Jolly, Atman P. Shah
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Cardiology Research and Practice
Online Access:http://dx.doi.org/10.1155/2015/528753
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Summary:Background. Drug-eluting stents (DES) have proven clinical superiority to bare-metal stents (BMS) for the treatment of patients with ST-segment elevation myocardial infarction (STEMI). Decision to implant BMS or DES is dependent on the patient’s ability to take dual antiplatelet therapy. This study investigated factors associated with DES placement in STEMI patients. Methods. Retrospective analysis was performed on 193 patients who presented with STEMI and were treated with percutaneous coronary intervention at an urban, tertiary care hospital. Independent factors associated with choice of stent type were determined using stepwise multivariate logistic regression. Odds ratio (OR) was used to evaluate factors significantly associated with DES and BMS. Results. 128 received at least one DES, while 65 received BMS. BMS use was more likely in the setting of illicit drug or alcohol abuse ([OR] 0.15, 95% CI 0.05–0.48, p≤0.01), cardiogenic shock (OR 0.26, 95% CI 0.10–0.73, p=0.01), and larger stent diameter (OR 0.28, 95% CI 0.11–0.68, p≤0.01). Conclusions. In this analysis, BMS implantation was associated with illicit drug or alcohol abuse and presence of cardiogenic shock. This study did not confirm previous observations that non-White race, insurance, or income predicts BMS use.
ISSN:2090-8016
2090-0597