Pregnant women may be at higher risk of severe complications associated with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which may lead to obstetrical complications. We performed a case control study comparing pregnant women with severe coronavirus disease 19 (cases) to pregnant women with a milder form (controls) enrolled in the COVI-Preg international registry cohort between March 24 and July 26, 2020. Risk factors for severity, obstetrical and immediate neonatal outcomes were assessed. A total of 926 pregnant women with a positive test for SARS-CoV-2 were included, among which 92 (9.9%) presented with severe COVID-19 disease. Risk factors for severe maternal outcomes were pulmonary comorbidities [aOR 4.3, 95% CI 1.9–9.5], hypertensive disorders [aOR 2.7, 95% CI 1.0–7.0] and diabetes [aOR2.2, 95% CI 1.1–4.5]. Pregnant women with severe maternal outcomes were at higher risk of caesarean section [70.7% (n = 53/75)], preterm delivery [62.7% (n = 32/51)] and newborns requiring admission to the neonatal intensive care unit [41.3% (n = 31/75)]. In this study, several risk factors for developing severe complications of SARS-CoV-2 infection among pregnant women were identified including pulmonary comorbidities, hypertensive disorders and diabetes. Obstetrical and neonatal outcomes appear to be influenced by the severity of maternal disease.

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Worldwide, diabetes is affecting 370 million people, causing nearly five million deaths and absorbing more than 471 billion USD per year. Mathematical models have been developed to simulate, analyse and understand the dynamics of β-cells, insulin and glucose. In this paper, we consider the effect of genetic predisposition to diabetes on dynamics of β-cells, glucose and insulin. We assume that the β-cell dynamics is governed by the differential equation:

Diabetes is a chronic disease with a huge and growing socioeconomic burden affecting individuals, families and the whole society. In this paper, we propose an optimal control approach modeling the evolution from pre-diabetes to diabetes with and without complications. We show the existence of an optimal control and then use a numerical implicit finite-difference method to monitor the size of population in each compartment. Our model shows that, using optimal control, the number of diabetics with and without complications can be significantly reduced in a period of 10 years.

Background: In the WHO Eastern Mediterranean region, nearly one million deaths are caused by cardio-vascular diseases every year. During the last decade, the number of deaths caused by stroke increased by 23%. Most cardiovascular diseases can be prevented by addressing behavioural risk factors such as tobacco use, alcohol, unhealthy diet, physical inactivity, and metabolic risk factors like obesity, high blood pressure, diabetes and raised lipids. Methods: This is a systematic review on cerebrovascular diseases and associated risk factors in WHO Eastern Mediterranean countries. Medline, Science Direct, and other sources were used to get peer reviewed papers dealing with the review theme. The search was limited to publications between 1990 and 2013 (30th June). Results and Discussion: According to the inclusion criteria, 45 papers were included in the present review. The prevalence was found greater than 50% in 38 studies for hypertension, greater than 25% in 36 studies for diabetes, greater than 15% in 26 studies for smoking and greater than 25% in 19 studies for dyslipidemia. It was also indicated that