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Heart ; 93(6): 694-7, 2007 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-17194711

RESUMO

OBJECTIVE: To identify risk factors for clinical-driven target lesion revascularisation (TLR) in patients treated with sirolimus-eluting (Cypher) or paclitaxel-eluting (Taxus) stents in a real-world scenario. DESIGN: From 1 January 2003 to 18 May 2005, all patients treated with a Cypher or Taxus stent were consecutively registered and followed for 9 months. Re-intervention was driven by clinical symptoms. SETTING: Western Denmark Heart Registry. PATIENTS: 4432 patients with 6102 lesions treated with a Cypher (n = 3791 lesions) or Taxus (n = 2311 lesions) stent. INTERVENTIONS: Percutaneous coronary intervention. MAIN OUTCOME MEASURES: TLR, defined as either new percutaneous coronary intervention or coronary artery bypass graft operation of the target lesion, within 9 months from the index procedure. RESULTS: TLR within 9 months was performed in 2.5% of lesions treated with the Cypher stent and in 3.3% of lesions treated with the Taxus stent (OR 1.36, 95% CI 1.00 to 1.84). After adjustment by multivariate logistic regression, Taxus stent implantation was an independent predictor of TLR (OR 1.43, 95% CI 1.05 to 1.95). Implantation of >1 stent per lesion (OR 1.62, 95% CI 1.13 to 2.33) and reference diameter <2.8 mm (OR 1.42, 95% CI 1.00 to 2.02) were also identified as independent predictors of TLR. CONCLUSIONS: These data from the registry reflect a real-world clinical scenario with operator-driven use of drug-eluting stents and symptom-driven re-intervention. In this setting, use of the Taxus stent, implantation of multiple stents per lesion and stent implantation in small vessels were independent predictors of TLR.


Assuntos
Reestenose Coronária/terapia , Estenose Coronária/terapia , Paclitaxel/administração & dosagem , Sirolimo/administração & dosagem , Stents , Análise de Variância , Angioplastia Coronária com Balão , Reestenose Coronária/epidemiologia , Dinamarca , Sistemas de Liberação de Medicamentos , Desenho de Equipamento , Humanos , Modelos Logísticos , Sistema de Registros , Fatores de Risco , Resultado do Tratamento
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