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Clin Res Cardiol ; 102(12): 865-73, 2013 Dec.
Article in English | MEDLINE | ID: mdl-23881543

ABSTRACT

BACKGROUND: Risk stratification is essential for the clinical decision-making process in elderly patients undergoing multivessel revascularization, since the optimal revascularization strategy remains subject of ongoing debate. AIMS: To assess the prognostic value of angiographic versus clinical characteristics for the prediction of a first adverse cardiac and cerebrovascular events (MACCE) (all-cause mortality, non-fatal myocardial infarction, stroke, and target lesion revascularization) and to develop a combined risk model. METHODS: After multivessel percutaneous coronary intervention (MV-PCI), SYNTAX score and EuroSCORE were calculated as combined risk model in 328 elderly patients who were followed up for a first MACCE. RESULTS: 328 patients with a mean age of 77.5 ± 5.1 years were followed up for 2.7 ± 1.5 years. A first MACCE occurred in 50.0 % (164/328) of the patients. To improve predictability, a combined risk score model with receiver operating characteristic curve validated cut-off values for EuroSCORE (>5 %) and SYNTAX score (>25) was developed. High risk patients had a 3.5-fold higher risk for MACCE after 3 years (HR 7.1, 95 % CI 1.9-6.5; p < 0.001). CONCLUSIONS: For adequate risk assessment in elderly patients undergoing MV-PCI, consideration of both comorbidities and coronary anatomic complexity is essential. A combined angiographic and clinical risk score provides superior prediction of 3-year MACCE risk in elderly patients.


Subject(s)
Coronary Angiography/methods , Coronary Artery Disease/surgery , Models, Statistical , Percutaneous Coronary Intervention/methods , Aged , Aged, 80 and over , Coronary Artery Disease/mortality , Coronary Artery Disease/physiopathology , Decision Making , Female , Follow-Up Studies , Humans , Male , Myocardial Infarction/epidemiology , Myocardial Infarction/etiology , Prognosis , Prospective Studies , ROC Curve , Risk Assessment/methods , Stroke/epidemiology , Stroke/etiology , Time Factors
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