Global prevalence of cardiometabolic risk factors in the military population: a systematic review and meta-analysis.

BACKGROUND: Although there are numerous studies on the global prevalence of cardiometabolic risk factors (CMRFs) in military personnel, the pooled prevalence of CMRFs in this population remains unclear. We aimed to systematically review the literature on the estimation of the global prevalence of CMRFs in the military population. METHODS: We simultaneously searched PubMed and NLM Gateway (for MEDLINE), Institute of Scientific Information (ISI), and SCOPUS with using standard keywords. All papers published up to March 2018 were reviewed. Two independent reviewers assessed papers and extracted the data. Chi-square-based Q test was used to assess the heterogeneity of reported prevalence among studies. The overall prevalence of all CMRFs, including overweight, obesity, high low-density lipoprotein (LDL), high total cholesterol (TC), high triglyceride (TG), low high-density lipoprotein (HDL), hypertension (HTN) and high fasting blood sugar (FBS) was estimated by using the random effects meta-analysis. A total of 37 studies met the eligibility criteria and were included in the meta-analysis. RESULTS: According the random effect meta-analysis, the global pooled prevalence (95% confidence interval) of MetS, high LDL, high TC, high TG, low HDL and high FBS were 21% (17-25), 32% (27-36), 34% (10-57), 24% (16-31), 28% (17-38) and 9% (5-12), respectively. Moreover, global pooled prevalence of overweight, generalized obesity, abdominal obesity and HTN were estimated to be 35% (31-39), 14% (13-16), 29% (20-39) and 26 (19-34), respectively. CONCLUSIONS: The overall prevalence of some cardio-metabolic risk factors was estimated to be higher in military personnel. Therefore, the necessary actions should be taken to reduce risk of developing cardiovascular diseases. SYSTEMATIC REVIEW REGISTRATION NUMBER IN PROSPERO: CRD42018103345.

Factors associated with the poor outcomes in diabetic patients with COVID-19.

PURPOSE: Diabetic's patients are supposed to experience higher rates of COVID-19 related poor outcomes. We aimed to determine factors predicting poor outcomes in hospitalized diabetic patients with COVID-19. METHODS: This retrospective cohort study included all adult diabetic patients with radiological or laboratory confirmed COVID-19 who hospitalized between 20 February 2020 and 27 April 2020 in Alborz province, Iran. Data on demographic, medical history, and laboratory test at presentation were obtained from electronic medical records. Diagnosis of diabetes mellitus was self-reported. Comorbidities including cancer, rheumatism, immunodeficiency, or chronic diseases of respiratory, liver, and blood were classified as "other comorbidities" due to low frequency. The assessed poor outcomes were in-hospital mortality, need to ICU care, and receiving invasive mechanical ventilation. Self-reported. Multivariate logistic regression models were fitted to quantify the predictors of in-hospital mortality from COVID-19 in patients with DM. RESULTS: Of 455 included patients, 98(21.5%) received ICU care, 65(14.3%) required invasive mechanical ventilation, and 79 (17.4%) dead. In the multivariate model, significant predictors of "death of COVID-19" were age 65 years or older (OR (95% CI): 2.0 (1.16-3.44), chronic kidney disease (CKD) (2.05 (1.16-3.62), presence of "other comorbidities" (2.20 (1.04-4.63)), neutrophil count ≥8.0 × 109/L)6.62 (3.73-11.7 ((, Hb level < 12.5 g/dl (2.05 (1.13-3.72) (, and creatinine level ≥ 1.36 mg/dl (3.10 (1.38-6.98)). (All p -values <0.05). Some of these factors were also associated with other assessed poor outcomes, e.g., need to ICU care or invasive mechanical ventilation. CONCLUSION: Diabetic patients with age 65 years or older, comorbidity CKD, "other comorbidities", as well as neutrophil count ≥8.0 × 109/L, Hb level < 12.5 g/dl, and creatinine level ≥ 1.36 mg/dl, were more likely to dead after COVID-19. Presence of hypertension and cardiovascular disease were associated with none of the poor outcomes.