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A novel prediction model for all cause emergency department visits in ischemic heart disease.

This article is from Journal of Research in Medical Sciences : The Official Journal of Isfahan University of Medical Sciences , volume 16 . Abstract BACKGROUND:: Ischemic heart disease (IHD) is the main cause of morbidity and mortality worldwide, and a considerable part of these patients attend to emergency departments, which increases the burden to these busy departments. The aim of this study was to develop a prediction model enabling prediction of all cause emergency department (ED) visits in patients with documented coronary stenosis in a derivation set, and then to determine its accuracy in a validation set. METHODS:: In a prospective study at outpatient setting of Baqiyatallah hospital, Tehran, Iran, 502 patients with IHD were followed for 6 months for observing the outcome of ED visits for all causes. They were divided in two random groups of derivation set (n = 335) and validation set (n = 167). In the derivation set, to achieve an all cause ED visits prediction model, a prediction model was reached by entering demographic data, clinical variables, somatic comorbidity (Ifudu index), level of anxiety and depression (Hospital Anxiety Depression Scale (HADS) questionnaire), an

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