No abstract

Several studies have investigated the potential role of selenium (Se) in the development of type 2 diabetes (T2D) with disparate findings. We conducted a systematic review and meta-analysis to synthesize the evidence of any association between Se and T2D. PubMed, Embase, and Scopus were searched following the Preferred Reporting Items for Systematic Reviews and Meta-analysis Approach (PRISMA). Sixteen studies from 15 papers met inclusion criteria defined for this review. Of the 13 observational studies included, 8 demonstrated a statistically significant positive association between concentrations of Se and odds for T2D, with odds ratios (95% confidence intervals) ranging from 1.52 (1.01–2.28) to 7.64 (3.34–17.46), and a summary odds ratio (OR) (95% confidence interval (CI)) of 2.03 (1.51–2.72). In contrast, among randomized clinical trials (RCTs) of Se, a higher risk of T2D was not observed for those who received Se compared to a placebo (OR = 1.18, 95% CI 0.95–1.47). Taken together, the results for the relationship between Se and T2D differ between observational studies and randomized clinical trials (RCTs). It remains unclear whether these differences are the result of uncontrolled confounding in the observational studies, or whether there is a modest effect of Se on the risk for T2D that may vary by duration of exposure. Further investigations on the effects of Se on glucose metabolism are needed.

These findings show that higher plasma concentrations of selenium were significantly associated with prevalent T2D among participants in a selenium supplementation trial. Future work is needed to elucidate whether there are individual characteristics, such as blood concentrations of other antioxidants, which may influence this relation.

Background Multisystem inflammatory syndrome in children (MIS-C), linked to antecedent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, is associated with considerable morbidity. Prevention of SARS-CoV-2 infection or coronavirus disease 2019 (COVID-19) by vaccination might also decrease MIS-C likelihood. Methods In a multicenter case-control public health investigation of children ages 5–18 years hospitalized from July 1, 2021 to April 7, 2022, we compared the odds of being fully vaccinated (two doses of BNT162b2 vaccine ≥28 days before hospital admission) between MIS-C case-patients and hospital-based controls who tested negative for SARS-CoV-2. These associations were examined by age group, timing of vaccination, and periods of Delta and Omicron variant predominance using multivariable logistic regression. Results We compared 304 MIS-C case-patients (280 [92%] unvaccinated) with 502 controls (346 [69%] unvaccinated). MIS-C was associated with decreased likelihood of vaccination (aOR, 0.16 95% CI, 0.10-0.26), including among children ages 5–11 years (aOR, 0.22 95% CI, 0.10-0.52), ages 12–18 years (aOR, 0.10 95% CI, 0.05–0.19), and during the Delta (aOR, 0.06 95% CI, 0.02–0.15) and Omicron (aOR, 0.22 95% CI, 0.11–0.42) variant-predominant periods. This association persisted beyond 120 days after the second dose (aOR, 0.08, 95% CI, 0.03–0.22) in 12–18 year-olds. Among all MIS-C case-patients, 187 (62%) required intensive care unit admission and 280 (92%) vaccine-eligible patients were unvaccinated. Conclusions Vaccination with two doses of BNT162b2 is associated with reduced likelihood of MIS-C in children ages 5–18 years. Most vaccine eligible hospitalized patients with MIS-C were unvaccinated.

Accurate diagnosis of potential SARS-CoV-2 infections by symptoms is one strategy for continuing global surveillance, particularly in low-resource communities. We conducted a prospective, population-based cohort study, the Arizona CoVHORT, among Arizona residents to elucidate the symptom profile of laboratory-confirmed COVID-19 participants(16.2%) compared to laboratory-confirmed negative(22.4%) and untested general population participants(61.4%). Among the 1514 study participants, those who were COVID-19 positive were more likely to be Hispanic(33.5%) and more likely to report obesity > 30 kg/m2(34.7%) compared to COVID-19 negative participants(19.2%; 31.0%) and untested CoVHORT participants(13.8%; 23.8%). Of the 245 laboratory-confirmed COVID-19 cases, 15.0% reported having had no symptoms. Of those that did report symptoms, the most commonly-reported first symptoms were sore throat(19.0%), headache(15.5%), cough(12.7%), runny nose/cold-like symptoms(12.1%), and fatigue(12.0%). In adjusted logistic regression models, COVID-19 positive participants were more likely than negative participants to experience loss of taste and smell(OR:35.7; 95% CI 18.4-69.5); bone or nerve pain(OR:17.9; 95% CI 6.7-47.4), vomiting(OR:10.8; 95% CI 3.1-37.5), nausea(OR:10.5; 95% CI 5.5-19.9), and headache(OR:8.4; 95% CI 5.6-12.8). When comparing confirmed COVID-19 cases with confirmed negative or untested participants, the pattern of symptoms that discriminates SARS-CoV-2 infection from those arising from other potential circulating pathogens may differ from general reports of symptoms among cases alone.