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IntroductionSeveral studies have found celiac disease may be associated with a variety of cardiac manifestations. Atrial fibrillation (AF) is one of the most common arrhythmias that can cause significant morbidity. However, the risk of atrial fibrillation in patients with celiac disease according to epidemiological studies remains unclear. The aim of this meta-analysis study is to assess the risk of atrial fibrillation in patients diagnosed with celiac disease compared to controls. MethodsA systematic literature review was conducted in MEDLINE, EMBASE, Cochrane databases from inception through December 2017 to identify studies that evaluated the risk of atrial fibrillation in patients with celiac disease. We included randomized controlled trial, cross sectional and cohort studies that reported the odds ratio, relative risk, hazard ratio, and standardized incidence ratio comparing the risk of developing atrial fibrillation among patients with celiac disease, versus patients without celiac disease as control. The Newcastle-Ottawa scale was used to determine the quality of the studies. Effect estimates from individual studies were extracted and combined using random-effect, generic inverse variance method of DerSimonian and Laird. ResultsCeliac disease is an autoimmune condition. This inflammatory state predisposes patients to develop AF. After a review of the literature, four observational studies with a total of 64,397 participants were enrolled. The association between celiac disease and increased risk of atrial fibrillation was significant, with a pooled OR of 1.38 (95% CI: 1.01-1.88). No publication bias as assessed by the funnel plots and Egger's regression asymmetry test with p = 0.54. However, the heterogeneity of the included studies was high (I2 = 96). ConclusionA significant association between celiac disease and risk of atrial fibrillation was reported in this study. There is a 38% increased risk of atrial fibrillation. Additional studies are needed to clarify the mechanistic link between atrial fibrillation and celiac disease. Some of the limitations of this study are that all were observational studies, some were medical registry-based and there was high heterogeneity between studies.

Introduction Chronic liver disease (CLD) causes more than 1 million deaths every year and remains a pandemic in the last decade affecting more than 600,000 patients in the United States. Previous studies found patients with CLD had increased risk of osteoporosis, so fractures were inferred to be complications of this condition. The aim of this meta-analysis is to summarize the best evidence that correlates CLD patients and the risk to develop osteoporotic fractures versus control patients without CLD. Methods A review of the literature using MEDLINE and EMBASE database was performed during December 2017. We included cross-sectional and cohort studies that reported relative risks (RR), odds ratios (OR) and hazard ratios (HR) comparing the risk of developing osteoporotic fractures among patients with CLD versus patients without CLD. Pooled OR and 95% confidence interval (CI) were calculated using generic inverse-variance method. The Newcastle-Ottawa scale was used to determine the quality of the studies. Effect estimates from the individual study were extracted and combined using the random-effect, generic inverse variance method of DerSimonian and Laird. Results After the review of the literature, seven studies fulfilled the eligibility criteria established during the analysis. Significant association was found between CLD and osteoporotic fractures with a pooled OR of 2.13 (95% CI, 1.79-2.52). High heterogeneity among the studies was found (I2=88.5). No publication bias was found using Egger regression test (p=0.44). Conclusion We found a significant association between CLD and the risk of developing osteoporotic fractures. The calculated risk was 2.13 times higher for patients with CLD when compared with controls. The results showed high heterogeneity but no publication bias. More prospective studies are needed to fully understand the mechanisms involved in loss of bone density and osteoporotic fractures in order to improve the morbidity associated with this disease.

In this project, we are trying to review the articles that discuss the relationship between insulin signaling and Alzheimer's disease (AD). Another focus of this project is to find the best treatment regimen that can reduce the progression of AD in patients with impaired glucose metabolism. We used Pubmed database to collect our data and used the following keywords: Alzheimer's disease, insulin signaling pathway, type 3 diabetes, type 2 diabetes, insulin, and insulin resistance in our revision; we included free articles that were published in the last 10 years and excluded articles that were written in any language other than English. We reviewed 68 articles. Forty-nine out of 68 articles were containing materials that are relevant for this project. We found that there is a relation between AD and the insulin signaling pathway. Insulin signaling pathway impairment leads to hyperphosphorylation of Tau protein, which plays a vital role in AD pathology. The effect of insulin on cognition is bidirectional; the intranasal route of insulin showed to have a promising effect on cognition improvement. Subcutaneous and intravenous insulin can increase the risk of dementia. Further studies are encouraged to use a specific anti-diabetic medication that can reduce the progression of AD.

Introduction: Frailty is a state of vulnerability characterized by multisystemic physiological decline. The Pictorial Fit Frail Scale (PFFS) is a practical, image-based assessment that may facilitate the assessment of frailty in individuals with inadequate health literacy (HL). Objective: Determine the concurrent validity and feasibility of the PFFS in older Veterans with different levels of HL and cognition. Methods: Cross-sectional study in a geriatric clinic at a Veteran Health Administration (VHA) medical center. Veterans ≥65 years old completed a HL evaluation, PFFS, FRAIL scale and cognitive screening. We assessed the associations between PFFS, FRAIL scale, and VA-Frailty Index (VA-FI), and compared PFFS and FRAIL scale accuracy with a Receiver Operating Characteristic curve, Area Under the Curve (AUC) analysis, using the VA-FI as reference. Results: Eighty-three Veterans, mean age 76.20 ( SD = 6.02) years, 65.1% Caucasian, 69.9% had inadequate HL, 57.8% were frail and 20.5% had cognitive impairment. All participants completed the 43 PFFS items. There were positive correlations between PFFS and VA-FI, r = .55 (95% CI: 0.365–0.735, p < .001), and FRAIL scale, r = .673 (95% CI: 0.509–0.836, p < .001). Compared to the VA-FI, the PFFS (AUC = 0.737; 95% CI: 0.629–0.844) and FRAIL scale (AUC = 0.724;95% CI: 0.615–0.824; p < .001) showed satisfactory diagnostic accuracy. Conclusions: The PFFS is valid and feasible in evaluating frailty in older Veterans with different levels of HL and cognition.