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Predictive factors for early cardiac events and angiographic restenosis after coronary stent placement in small coronary arteries

J.örg Hausleiter, MD^*,*, Adnan Kastrati, MD^*, Julinda Mehilli, MD^*, Helmut Schühlen, MD^*, J.ürgen Pache, MD, Franz Dotzer, MD, Josef Dirschinger, MD and Albert Schömig, MD^*

^* Deutsches Herzzentrum München, Munich, Germany
1. Medizinische Klinik des Klinikums rechts der Isar, Technische Universität, Munich, Germany
Klinikum Garmisch-Partenkirchen, Garmisch-Partenkirchen, Germany

View larger version (19K): [in a new window]   Figure 1 Significant and independent factors for thrombotic events occurring within the first 30 days, as derived from the multivariate model, displayed with their relative risk and 95% confidence interval. The confidence interval for the continuous variable "stented segment length" was calculated for the first versus third quartile: 10 vs. 25 mm. LV = left ventricular.

View larger version (13K): [in a new window]   Figure 2 (A) Significant and independent factors for angiographic restenosis at six months, as derived from the multivariate model, displayed with their relative risk and 95% confidence interval. For continuous variables, these were calculated for the first versus third quartile (lesion length: 7.4 vs. 15.3 mm; small vessel size: 2.25 vs. 2.94 mm; stenosis severity before the intervention: 65.7% vs. 89.9%; balloon/vessel ratio: 1.02 vs. 1.14; and stented segment length: 15 vs. 25 mm). (B) Adjusted risk (with odds ratio and 95% confidence interval) for restenosis associated with each stent type, as derived from the multivariate model. The risk was calculated using the Palmaz-Schatz stent as a reference.

View larger version (21K): [in a new window]   Figure 3 Graph showing the strength (i.e., chi-square value) of the logistic regression models for thrombotic events and angiographic restenosis. Each top solid bar is for the full model, including clinical, lesion-related, and procedural variables; the other open bars are for the respective partial models. The graph illustrates the dominant influence of clinical factors on thrombotic events, as opposed to the dominant influence of procedural factors on restenosis.