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Predictors of Restenosis After Coronary Stenting

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Predictors of Restenosis After Coronary Stenting

Multivariate Analyses

Overall Population


The model included all the characteristics with a value of p<0.05 at univariate analysis. Figure 3 shows the complete set of variables included in the multivariate analysis. The presence of diabetes mellitus, history of bypass surgery, left main stenting, complex lesion morphology, small vessel size, high grade baseline stenosis, and longer stent length were independently associated with higher likelihood of restenosis. Higher balloon-to-vessel ratio, treatment with first generation DES versus BMS, and treatment with second generation DES versus first generation DES were independently associated with lower likelihood of restenosis. Figure 4 shows the proportion of lesions with restenosis at follow-up according to stent treatment type.


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Figure 3.

Risk estimates of independent predictors of restenosis in the overall population. Plot of OR for variables associated with higher or lower risk of restenosis. The centre indicates the point estimate and the left and the right ends of the line the 95% CI. BMS, bare metal stent; DES, drug eluting stent; DS, diameter stenosis; NSTEMI, non-ST elevation myocardial infarction; STEMI, ST elevation myocardial infarction.


(Enlarge Image)


Figure 4.

Proportion of lesions with restenosis at follow-up angiography according to stent cohort. Lesions presenting restenosis at follow-up angiography are described as proportion. The adjusted OR for restenosis is provided. BMS, bare metal stent; DES, drug eluting stent.

Bare Metal and Drug Eluting Stent Cohorts


The online supplementary table provides the rates of restenosis within the first and second generation DES cohorts. Subgroup analyses demonstrated that patients treated with BMS, first generation DES or second generation DES were associated with similar predictors of restenosis (see online supplementary figure).

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