Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros










Base de dados
Intervalo de ano de publicação
1.
Eur J Emerg Med ; 30(1): 40-46, 2023 Feb 01.
Artigo em Inglês | MEDLINE | ID: mdl-36542336

RESUMO

Acute nontraumatic chest pain is a frequent reaso n for consultation in emergency departments and represents a diagnostic challenge. The objective is to estimate the risk of significant coronary artery disease (CAD) in patients with cardiogenic acute chest pain for whom the diagnosis of infarction was ruled out in the emergency department with a nondiagnostic ECG and negative high-sensitivity troponins. We prospectively recruited 1625 patients from emergency departments of seven Spanish hospitals. The outcome was presence of significant CAD determined by presence of ischaemia in functional tests or more than 70% stenosis in imaging tests. In this study, we developed a predictive model and evaluated its performance and clinical utility. The prevalence of significant CAD was 14% [227/1625; 95% confidence interval (CI), 12-16]. MAPAC Cardio-PreTest model included seven predictors: age, sex, smoking, history of hypertension, family history of CAD, history of hyperuricaemia, and type of chest pain. The optimism-adjusted model discrimination was C-statistic 0.654 (95% CI, 0.618-0.693). Calibration plot showed good agreement between the predicted and observed risks, and calibration slope was 0.880 (95% CI, 0.731-1.108) and calibration-in-the-large -0.001 (95% CI, -0.141 to 0.132). The model increased net benefit and improved risk classification over the recommended approach by the European Society of Cardiology [Net Reclassification Index (NRI) of events = 5.3%, NRI of nonevents = 7.0%]. MAPAC Cardio-PreTest model is an online prediction tool to estimate the individualised probability of significant CAD in patients with acute chest pain without a diagnosis of infarction in emergency department. The model was more useful than the current alternatives in helping patients and clinicians make individually tailored choices about the intensity of monitoring or additional coronary tests.


Assuntos
Doença da Artéria Coronariana , Humanos , Doença da Artéria Coronariana/complicações , Doença da Artéria Coronariana/diagnóstico , Doença da Artéria Coronariana/epidemiologia , Medição de Risco/métodos , Valor Preditivo dos Testes , Dor no Peito/diagnóstico , Dor no Peito/epidemiologia , Dor no Peito/etiologia , Serviço Hospitalar de Emergência , Infarto , Fatores de Risco
2.
Can J Cardiol ; 32(12): 1574.e5-1574.e7, 2016 12.
Artigo em Inglês | MEDLINE | ID: mdl-27378590

RESUMO

We report on a 49-year-old man who presented to the emergency department with progressive angina. Echocardiography displayed severe aortic regurgitation and aortic valve thickening. The suspected diagnosis was acute aortic syndrome. Cardiac computed tomography showed circumferential thickening of the aortic wall and left main coronary artery ostial stenosis. Histologic examination showed diffuse aortic inflammation. No damage of any other organ or vascular structure was reported, and the final diagnosis was nonspecific aortitis. Differential diagnosis, prognosis, and therapeutic strategies are discussed.


Assuntos
Angina Pectoris , Aorta , Aortite , Angiografia por Tomografia Computadorizada/métodos , Ponte de Artéria Coronária/métodos , Estenose Coronária , Angina Pectoris/diagnóstico , Angina Pectoris/etiologia , Aorta/diagnóstico por imagem , Aorta/patologia , Insuficiência da Valva Aórtica/complicações , Insuficiência da Valva Aórtica/diagnóstico , Insuficiência da Valva Aórtica/fisiopatologia , Aortite/complicações , Aortite/diagnóstico , Aortite/fisiopatologia , Estenose Coronária/complicações , Estenose Coronária/diagnóstico , Estenose Coronária/fisiopatologia , Estenose Coronária/cirurgia , Diagnóstico Diferencial , Ecocardiografia/métodos , Eletrocardiografia/métodos , Humanos , Masculino , Pessoa de Meia-Idade , Prognóstico , Resultado do Tratamento
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...