Search

Data on spontaneous coronary artery dissection (SCAD) is based on European and North American registries. We assessed the prevalence, epidemiology, and outcomes of patients presenting with SCAD in Arab Gulf countries. Patients (n = 83) were diagnosed with SCAD based on angiographic and intravascular imaging whenever available. Thirty centers in 4 Arab Gulf countries (Kingdom of Saudi Arabia, United Arab Emirates, Kuwait, and Bahrain) were involved from January 2011 to December 2017. In-hospital (myocardial infarction [MI], percutaneous coronary intervention, ventricular tachycardia/fibrillation, cardiogenic shock, death, implantable cardioverter-defibrillator placement, dissection extension) and follow-up (MI, de novo SCAD, death, spontaneous superior mesenteric artery dissection) cardiac events were recorded. Median age was 44 (37-55) years, 42 (51%) were females and 28.5% were pregnancy-associated (21.4% were multiparous). Of the patients, 47% presented with non-ST-elevation acute coronary syndrome, 49% with acute ST-elevation myocardial infarction, 12% had left main involvement, 43% left anterior descending, 21.7% right coronary, 9.6% left circumflex, and 9.6% multivessel; 52% of the SCAD were type 1, 42% type 2, 3.6% type 3, and 2.4% multitype; 40% managed medically, 53% underwent percutaneous coronary intervention, 7% underwent coronary artery bypass grafting. Females were more likely than males to experience overall (in-hospital and follow-up) adverse cardiovascular events (P =.029). [ABSTRACT FROM AUTHOR]

Construction industry is one of the most influential motivators of a national economy. The success of construction projects is indispensable to sustain a robust economy. Completion time is important for construction projects, nevertheless project multifaceted objectives, sophisticated nature, inherent uncertainties, and risks are success impediments and can cause time overrun. Stochastic models and simulation scheduling techniques are developed to predict the risk and uncertainty effects on construction projects’ duration. The objective of this research is to develop models that predict the activity durations based on actual data from similar projects. The study introduces comprehensive statistical regression models using historical data of about 84,000 activities in Egypt, Kuwait, and Saudi Arabia. The activities encompass engineering, procurement and construction (EPC) activities for most disciplines of construction projects. The regression models can be utilized to predict more reliably the activities’ duration. [ABSTRACT FROM AUTHOR]