Objective:To assess the level of control and prevalence of type 2 diabetes in King Abdulaziz Housing City (Iskan) population of Saudi Arabia.Materials and Methods:Retrospective cross-sectional study conducted in a primary-care setting. All Type 2 diabetics referred to our diabetes center between January 2011 and January 2015 were identified, and their computerized records reviewed. Glycated hemoglobin levels (HbA1c), low-density lipoprotein (LDL), blood pressure (BP), and the albumin-creatinine ratio (ACR) were noted and the patients categorized accordingly. Demographic data (age and gender) were also documented. Inactive patients (not seen for more than 2 years) were excluded.Results:The overall prevalence of type 2 diabetes for all age groups in ISKAN population was 3.25%. About 56% of the diabetics were female and 70% were aged between 18 and 59 years. The rate of uncontrolled diabetes was 59.3%. Males were more likely to have uncontrolled diabetes (odds ratio: 1.44, CI: 1.17–1.76, P = 0.0004). Forty percent of the diabetics had an LDL above target (≥2.6 mmol/l) while 25.9% had uncontrolled hypertension (BP ≥ 140/90). Of those who had an ACR test done within the last year (59.3%), the rate of micro- and macro-albuminuria was 8.8% and 2.5%, respectively.Conclusions:The overall prevalence of type 2 diabetes in our community seems lower than the previously reported national figures. An alarming number of diabetics in our population have an uncontrolled disease. More stringent diabetes annual review and recall program is needed to control diabetes and reduce complications.

Summary Star graphs possess many desirable properties such as scalable node degrees and diameters, which are essential to facilitate reduced routing table sizes and low maximum path length for routing in large P2P networks. In addition, because a large number of disjoint paths are available and each data/replica in an n‐star can be placed in an (n − 1)‐star, load balancing and alleviation of network bottlenecks can be implemented in star P2P overlay networks. Therefore, star networks have been proposed as viable alternatives to existing overlay topologies for large P2P networks. In this paper, we propose an optimal stabilizing and inherently stabilizing algorithm for routing messages over all disjoint paths between two peers in a star P2P overlay network. The algorithm is optimal in terms of its time complexity in rounds and the length of the longest path traversed by the messages, and fault tolerant due to being stabilizing and inherently stabilizing, allowing the system to withstand transient faults. The algorithm can be used to increase network reliability and survivability in P2P networks. In addition, the usage of all disjoint paths to route messages between two peers leads to increased network bandwidth while distributing the communication overhead across the network and eliminating network bottlenecks in P2P networks. Copyright © 2016 John Wiley & Sons, Ltd.

Background: Severe coronavirus disease 2019 (COVID-19) can boost the systematic inflammatory response in critically ill patients, causing a systemic hyperinflammatory state leading to multiple complications. In COVID-19 patients, the use of inhaled corticosteroids (ICS) is surrounded by controversy regarding their impacts on viral infections. This study aims to evaluate the safety and efficacy of ICS in critically ill patients with COVID-19 and its clinical outcomes. Method: A multicenter, noninterventional, cohort study for critically ill patients with COVID-19 who received ICS. All patients aged ≥ 18 years old with confirmed COVID-19 and admitted to intensive care units (ICUs) between March 1, 2020 and March 31, 2021 were screened. Eligible patients were classified into two groups based on the use of ICS ± long-acting beta-agonists (LABA) during ICU stay. Propensity score (PS)-matched was used based on patient’s Acute Physiology and Chronic Health Evaluation II (APACHE II) score, Sequential Organ Failure Assessment (SOFA) score, systemic corticosteroids use, and acute kidney injury (AKI) within 24 h of ICU admission. We considered a P-value of < 0.05 statistically significant. Results: A total of 954 patients were eligible; 130 patients were included after PS matching (1:1 ratio). The 30-day mortality (hazard ratio [HR] [95% confidence interval [CI]]: 0.53 [0.31, 0.93], P-value = 0.03) was statistically significant lower in patients who received ICS. Conversely, the in-hospital mortality, ventilator-free days (VFDs), ICU length of stay (LOS), and hospital LOS were not statistically significant between the two groups. Conclusion: The use of ICS ± LABA in COVID-19 patients may have survival benefits at 30 days. However, it was not associated with in-hospital mortality benefits nor VFDs.

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