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J Nucl Cardiol ; 19(2): 364-76, 2012 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-22322526

RESUMO

BACKGROUND: To assess clinical utility of computed tomography angiography (CTA) in the diagnosis of chest pain patients presenting to emergency departments (EDs), we conducted a meta-analysis of CTA in patients with suspected acute coronary syndromes (ACSs). METHODS: 386 studies were identified on initial review of literature. Inclusion criteria were: (1) prospective study with ≥1 month follow-up, (2) use of CTA in the ED setting, (3) use of ACC/AHA definitions for ACS and robust assessment of major adverse cardiac events, (4) ≥30 patients, and (5) study population with initial non-diagnostic ECGs and negative biomarkers. RESULTS: Nine studies (N = 1349) formed the data set. The pooled patient population was 52 ± 2 years of age, 51% male, with low to intermediate pretest probability for ACS. Risk factors included 12% diabetes, 42% hypertension, 35% smokers, 29% had hyperlipidemia, and 7% known CAD. ACS was subsequently diagnosed in 10% of patients. The bivariate summary estimate of sensitivity of CTA for ACS diagnosis was 95% (95% CI 88-100) and specificity was 87% (95% CI 83-92), yielding a negative likelihood ratio of 0.06 (95% CI 0-0.14) and positive likelihood ratio of 7.4 (95% CI 4.8-10). The 30-day event rate included no deaths and no additional MIs. CONCLUSION: Coronary CTA demonstrates a high sensitivity and a low negative likelihood ratio of 0.06, and is effective in ruling out the presence of ACS in low to intermediate risk patients presenting to the ED with acute chest pain.


Assuntos
Síndrome Coronariana Aguda/diagnóstico por imagem , Síndrome Coronariana Aguda/epidemiologia , Dor no Peito/diagnóstico por imagem , Dor no Peito/epidemiologia , Angiografia Coronária/estatística & dados numéricos , Tomografia Computadorizada por Raios X/estatística & dados numéricos , Triagem/estatística & dados numéricos , Doença Aguda , Serviços Médicos de Emergência/estatística & dados numéricos , Humanos , Prevalência , Reprodutibilidade dos Testes , Medição de Risco/métodos , Fatores de Risco , Sensibilidade e Especificidade
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