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PURPOSE: The aim of this updated version of the systematic review and meta-analysis was to assess the association of PD with lipid profile. METHODS: A comprehensive literature search was done in electronic databases including PubMed, Web of Science, and Scopus until August 2021. Cross-sectional, case-control, and cohort studies investigating the relationship between PD and lipid profile were included. Screening, data extraction, and quality assessment were performed independently by two investigators. A random-effect model was used to pool the effect size. Odds ratio (OR) was used as effect size for the association of PD with Hyperlipidemia, and SMD was used for the association of PD with the mean level of lipid profile. RESULTS: Overall, 34 documents met the inclusion criteria for this systematic review, and 31 were included for the meta-analysis. Sixteen studies were cross-sectional, 16 case-control, and two cohorts. Results of the random effect model showed that PD increased the odds of dyslipidemia by 15% (OR: 1.15, 95% CI: 1.04, 1.26). The Association of PD with low HDL, high LDL, hypertriglyceridemia, and hypercholesteremia was not statistically significant (P > 0.05). The mean level of HDL in patients with PD was significantly lower than in subjects without PD (SMD: -0.69, 95% CI: -1.11, -0.26). Moreover, the mean level of LDL, TC, TG in patients with PD was significantly higher than in subjects without PD (P

PURPOSE: The aim of this updated systematic review and meta-analysis was the association between hyperglycemia and periodontitis. METHODS: We searched PubMed/MEDLINE, Web of Science, and Scopus until March 2021. The key search words were based on "periodontitis" and "hyperglycemia." We included cohort, case–control, and cross-sectional studies, restricted to publications in English. The quality assessment of included studies and data extraction were done by two independent reviewers. Meta-analysis was performed for cross-sectional studies using the random-effects model. RESULTS: The literature search yielded 340 studies, and finally, 19 and 11 studies were included in systematic review and meta-analysis, respectively. The total sample size of the eligible studies in the meta-analysis was 38,896 participants, of whom 33% were male with a mean age of 51.20 ± 14.0 years. According to a random-effect meta-analysis in cross-sectional studies, the pooled odds ratio (OR) for the association between hyperglycemia and periodontal indices was statistically significant (OR: 1.50, 95%CI: 1.11, 1.90). There was evidence of publication bias (coefficient: − 3.53, p-value = 0.014) which, after imputing missing studies, the pooled OR of the association between hyperglycemia and periodontitis change to 1.55 (95%CI: 1.20, 1.90). CONCLUSION: Results of the present study show that hyperglycemia was positively associated with periodontitis. However, more cohort and prospective longitudinal studies should be conducted to find the exact association. Overall, it seems the management of hyperglycemia could be considered as a preventive strategy for periodontitis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40200-021-00861-9.

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