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Introduction & Objective: The previous investigations show that cardiovascular diseases, which are spreading all over our country, account for most health and social problems. The objective of this study was to determine the relation between demographic factors, medical history as well as para clinical factors and Coronary Artery Disease (CAD) within a period of 30 days for patients with chest pain. Materials & Methods: This was a prospective cohort study. Patients referred to the emergency department of Tehran heart centre with a chief complaint of chest pain without ST ـ segment elevation were followed for 30 days. The outcome variable was coronary artery disease. The Poisson Regression Model was applied in order to identify significant predictors of outcome. Applying this model, we could calculate Adjusted Risk Ratio and 95% confidence interval. The data were analyzed by standard statistical tests using SAS and Stata software. Results: 609 eligible patients were enrolled. Of these 51% were male and 49% female. Based on the final model of Poisson Regression, variables like sex, blood pressure history, heart disease history, changes in electrocardiogram, WBC and CRP had meaningful relationship with CAD. Conclusion: We concluded that prognosis in patients with chest pain needed considering clinical factors (acquired through interview), electrocardiogram and lab findings. Also we were conducted not to rely on traditional risk factors such as history of diabetes, hypercholesterolemia, smoking and family history of heart disease for prediction of the disease.

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Background & aim: Psychosocial factors are crucial for patients with coronary artery disease (CAD), but the type and outcome of anxiety disorders in these patients have not been studied as much as other risk factors. Therefore, the aim of the present study was to determine and investigate psychometric indicators of generalized anxiety disorder (GAD) in CAD patients.

Methods: The present research applied a descriptive-cross-sectional method. The statistical population included all patients with CAD referred to Golestan Hospital in Ahvaz, Iran,in 2022. Two-hundred and nine participants were selected using available sampling method and completed the 7-item scale of generalized anxiety disorder (GAD-7). The collected data were analyzed using Cronbach's alpha, Pearson's correlation coefficient, independent t test, one-way analysis of variance, exploratory factor analysis and Imus.

Results: The mean and standard deviation of age for men was 58.47±10.45 and for women it was 62.40±9.47. 152 people (72.73%) were men, Cronbach's alpha was equal to 0.936 and a one-factor model was obtained using exploratory factor analysis (EFA). Confirmatory factor analysis (CFA) indicated that the modified one-factor model of GAD-7 (this factor is named GAD-7) had a good fit.

Conclusion: since CAD patients experience high anxiety, it is important to use a short and valid tool to determine their anxiety. Therefore, GAD-7 has worthy psychometric properties for use in patients with CAD.