Can the optimal type of stent be predicted based on clinical risk factors? A subgroup analysis of the randomized BASKET-PROVE trial

Am Heart J. 2016 Mar:173:1-7. doi: 10.1016/j.ahj.2015.11.007. Epub 2015 Dec 1.

Abstract

Background: The randomized BASKET-PROVE study showed no significant differences between sirolimus-eluting stents (SES), everolimus-eluting stents (EES), and bare-metal stents (BMS) with respect to the primary end point, rates of death from cardiac causes, or myocardial infarction (MI) at 2 years of follow-up, in patients requiring stenting of a large coronary artery. Clinical risk factors may affect clinical outcomes after percutaneous coronary interventions. We present a retrospective analysis of the BASKET-PROVE data addressing the question as to whether the optimal type of stent can be predicted based on a cumulative clinical risk score.

Methods: A total of 2,314 patients (mean age 66 years) who underwent coronary angioplasty and implantation of ≥1 stents that were ≥3.0 mm in diameter were randomly assigned to receive SES, EES, or BMS. A cumulative clinical risk score was derived using a Cox model that included age, gender, cardiovascular risk factors (hypercholesterolemia, hypertension, family history of cardiovascular disease, diabetes, smoking), presence of ≥2 comorbidities (stroke, peripheral artery disease, chronic kidney disease, chronic rheumatic disease), a history of MI or coronary revascularization, and clinical presentation (stable angina, unstable angina, ST-segment elevation MI).

Results: An aggregate drug-eluting stent (DES) group (n = 1,549) comprising 775 patients receiving SES and 774 patients receiving EES was compared to 765 patients receiving BMS. Rates of death from cardiac causes or nonfatal MI at 2 years of follow-up were significantly increased in patients who were in the high tertile of risk stratification for the clinical risk score compared to those who were in the aggregate low-mid tertiles. In patients with a high clinical risk score, rates of death from cardiac causes or nonfatal MI were lower in patients receiving DES (2.4 per 100 person-years, 95% CI 1.6-3.6) compared with BMS (5.5 per 100 person-years, 95% CI 3.7-8.2, hazard ratio 0.45, 95% CI 0.26-0.80, P = .007). However, they were not significantly different between receivers of DES and BMS in patients in the low-mid risk tertiles.

Conclusions: This exploratory analysis suggests that, in patients who require stenting of a large coronary artery, use of a clinical risk score may identify those patients for whom DES use may confer a clinical advantage over BMS, beyond lower restenosis rates.

Publication types

  • Multicenter Study
  • Randomized Controlled Trial

MeSH terms

  • Age Factors
  • Aged
  • Angioplasty, Balloon, Coronary / methods*
  • Austria / epidemiology
  • Cause of Death / trends
  • Coronary Artery Disease / mortality
  • Coronary Artery Disease / surgery*
  • Denmark / epidemiology
  • Female
  • Follow-Up Studies
  • Humans
  • Incidence
  • Male
  • Postoperative Complications / epidemiology*
  • Prognosis
  • Prosthesis Design
  • Retrospective Studies
  • Risk Assessment / methods*
  • Risk Factors
  • Stents / standards*
  • Survival Rate / trends
  • Switzerland / epidemiology
  • Time Factors