Detalhes do Documento

Can cardiac computed tomography predict cardiovascular events in asymptomatic t...

Autor(es): Faustino, A cv logo 1 ; Providência, R cv logo 2 ; Mota, P cv logo 3 ; Barra, S cv logo 4 ; Silva, J cv logo 5 ; Fernandes, A cv logo 6 ; Catarino, R cv logo 7 ; Basso, S cv logo 8 ; Costa, M cv logo 9 ; Leitão-Marques, A cv logo 10

Data: 2014

Identificador Persistente: http://hdl.handle.net/10400.4/1647

Origem: Repositório do Centro Hospitalar e Universitário de Coimbra

Assunto(s): Doenças Cardiovasculares; Tomografia Computorizada; Diabetes Mellitus Tipo 2


Descrição
BACKGROUND: Doubts remain about atherosclerotic disease and risk stratification of asymptomatic type-2 diabetic patients (T2DP). This study aims to evaluate the usefulness of calcium score (CS) and coronary computed tomography (CT) angiography (CTA) to predict fatal and non fatal cardiovascular events (CVEV) in T2DP. METHODS: Eighty-five consecutive T2DP undergoing CT (Phillips Brilliance, 16-slice) with CS and CTA were prospectively enrolled in a transversal case-control study. Patients were followed for 48 months (range 18 - 68) to assess CVEV: cardiovascular death, acute coronary syndrome, revascularisation and stroke. Potential predictors of CVEV were identified. Predictive models based on clinical features, CTA and CS were created and compared. RESULTS: Performing CT impacted T2DP treatment. Cardiovascular risk was lowered during follow-up but metabolic control remained suboptimal. CVEV occurred in 11.8% T2DP (3.1%/year). CS ≥86.6 was predictor of CVEV over time, with a high negative predictive value, an 80% sensitivity and 74.7% specificity. Although its prognostic value was not independent of the presence/absence of obstructive CAD, adding CS and CTA data to clinical parameters improved the prediction of CVEV: the combined model had the highest AUC (0.888, 95%CI 0.789-0.987, p < 0.001) for the prediction of the study endpoints. CONCLUSIONS: CS showed great value in T2DP risk stratification and its prognostic value was further enhanced by CTA data. Information provided by CT may help predict CVEV in T2DP and potentially improve their outcome.
Tipo de Documento Artigo
Idioma Inglês
delicious logo  facebook logo  linkedin logo  twitter logo 
degois logo
mendeley logo

Documentos Relacionados



    Financiadores do RCAAP

Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia