Effect of air pollutants particulate matter (PM2.5, PM10), sulfur dioxide (SO2) and ozone (O3) on cognitive health.

Impaired cognitive health is the leading cause of various disabilities and disorders. Air pollution has been dramatically increasing over the last few decades and has been identified as a potential risk factor for impaired cognitive health. This study investigates the effect of air pollutants, particulate matter (PM2.5, PM10), sulfur dioxide (SO2), and ground-level ozone, on global cognitive health. The data on environmental pollutants and cognitive health were recorded from PubMed, Web of Science, Scopus, and Google Scholar. Initially, 790 articles were identified after screening for duplicates and applying the inclusion and exclusion criteria, 21 studies were included, and data was synthesized to get a pooled result. The overall results revealed that increased exposure to PM2.5 was positively and significantly associated with cognitive decline (OR 1.49; 95% CI 1.11, 1.99; p = 0.01). The risk of cognitive impairment due to PM10 (OR 1.30; 95% CI 1.00-1.70, p = 0.05), and SO2 (OR 1.39; 95% CI 1.27-1.51; p < 0.01) exposure were also significantly heightened. The study findings show that overall exposure to particulate matter PM2.5, PM10, and SO2 was associated with an increased risk of a decrease in global cognitive functions. The findings suggest that reducing levels of air pollutants could be a strategic approach to mitigate cognitive health risks in populations worldwide.

The bacterial contamination rate of glucose meter test strips in the hospital setting.

OBJECTIVES: To assess the rate of bacterial contamination of the multi-use vial and single-use packed glucose meter strips, and to identify the type and frequency of various bacterial contamination in different hospital wards. METHODS: This prospective observational study was conducted by a team from the Strategic Center for Diabetes Research in 7 general hospitals in the Central region of Saudi Arabia during the period from August to September 2014 to assess the bacterial contamination rate of the unused strips. A total of 10,447 strips were cultured using proper agar media and incubated both aerobically and anaerobically.  RESULTS: The total bacterial contamination rate for the multi-use vials glucose strips was 31.7%, while single-use packed strips were not contaminated at all. Ministry of Health hospitals had the highest contamination rates compared with other hospitals. Critical, obstetric, and surgical wards had the highest bacterial isolates number, where most were in the risk group 3 according to the National Institute of Health guidelines. Staphylococcus species were the most common bacteria found. CONCLUSION: Glucose meter strips should be recognized as a source of bacterial contamination that could be behind serious hospital acquired infections. The hospital infection control team should adopt proper measures to implement protocols for glucose meter cleaning and glucose strips handling.

All-cause mortality and its risk factors among type 1 and type 2 diabetes mellitus in a country facing diabetes epidemic.

AIM: Diabetes mellitus is associated with an increased risk of premature death mainly secondary to macrovascular and microvascular complications. Mortality data from the Eastern Mediterranean region known for its high diabetes prevalence are lacking. We aimed to assess all-cause mortality and its predictors using large cohort from the Saudi National Diabetes Registry (SNDR). METHODS: The study population comprised of 40,827 individuals with type 1 and type 2 diabetes mellitus aged ⩾25years registered in SNDR between January 2007 and December 2013. All patients were followed until death, according to the date of death or reaching 100years of age or end of the study. Death was verified from the national civil affairs database. The general population during the study period was used as a reference for standardized mortality ratio (SMR) calculation. RESULTS: With a total of 152,038 person-years of follow up, 2582 patients were deceased giving all-cause mortality rate of 16.98 per 1000 person-years and SMR (95% CI) of 1.93 (1.86-2.00). Mortality rates were higher among men and increased with age, while SMR attenuated with increasing age. The independent predictors for all-cause mortality were longer diabetes duration, presence of macrovascular complications, nephropathy, retinopathy, hypertension, male gender and older age, while morbid obesity and the presence of hyperlipidemia were associated with reduced risk. CONCLUSIONS: The unexpectedly low mortality rate in this population would be associated with higher number of deaths as a result of the high prevalence of diabetes and its complications. Reducing the prevalence of diabetes and its complications would reduce the risk of mortality.