Which risk factor best predicts coronary artery disease using artificial neural network method?

Background: Coronary artery disease (CAD) is recognized as the leading cause of death worldwide. This study analyses CAD risk factors using an artificial neural network (ANN) to predict CAD.

Methods: The research data were obtained from a multi-center study, namely the Iran-premature coronary artery disease (I-PAD).

One-year survival cohort of patients with reduced ejection fraction heart failure in Iranian population: A single center study.

Background: Cardiovascular diseases (CVDs) are one of the main concerns of health care systems. The aim of this study was to investigate the most important prognostic factors of heart failure (HF) and their survival outcomes in patients in Birjand, East of Iran.

Methods: A total of 194 systolic HF patients hospitalized in Birjand Valiasr hospital were followed up for 12 months in 2016, and those with reduced left ventricle ejection fraction (LVEF < 50%) were included in this study.

De Winter's pattern: an uncommon but very important electrocardiographic sign in the prompt recognition of spontaneous occlusive coronary artery dissection in young patients with chest pain (a case report).

Chest pain is a clinical symptom for immediate consultation, and electrocardiogram (ECG) is a valuable diagnostic tool for use in the emergency room. Although the ST- elevation myocardial infarction (STEMI) requires urgent management, there are other ECG high-risk findings which are associated with adverse outcomes or imminent acute myocardial infarction (AMI). This is a case of STEMI equivalent pattern such as de Winter.

Surveying the Effect of Opioid Abuse on the Extent of Coronary Artery Diseases in Diabetic Patients.

Background: Diabetes mellitus is recognized as one of the most common, serious, and costly chronic diseases. Opium addiction is also a common health problem in Iran. Given the high prevalence of opium use in South Khorasan Province and the increasing prevalence of opioid abuse in the community, this study was performed to investigate the effect of opioid abuse on the extent of disease in diabetic patients undergoing coronary angiography in the cardiology department of Vali-e-Asr Hospital in Birjand city, South Khorasan Province, Iran.