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      Lack of Evidence of COVID-19 Being a Risk Factor of Alopecia Areata: Results of a National Cohort Study in South Korea

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          Abstract

          Background: Concerns about alopecia areata (AA) in coronavirus disease 2019 (COVID-19) patients have emerged among dermatologists. However, most of the extant kinds of literature have limited implications by relying on cross-sectional studies with restricted study subjects without the control group.

          Objective: Our study aims to investigate the risk of developing AA among COVID-19 patients in South Korea using national representative data.

          Methods: We used the National Health Insurance Service COVID-19 cohort database, comprising COVID-19 patients and the control group, all of whom were diagnosed from January 1, 2020, to June 4, 2020. Patients were defined as individuals who were confirmed as COVID-19 positive, regardless of disease severity. Controls were defined as those who were confirmed as COVID-19 negatives. People with a history of AA during the period 2015–2019 were excluded. The primary endpoint was a new diagnosis of AA (ICD-10-Code: L63). The adjusted incidence rate ratio (IRR) of developing AA was estimated using a log-link Poisson regression model based on incidence density. The model adjusted for (1) age and sex and (2) demographic variables (age, sex, place of residence, and income level).

          Results: A total of 226,737 individuals (7,958 [3.5%] cases and 218,779 [96.5%] controls) were included in the final analysis. The ratio of newly diagnosed AA was 18/7,958 (0.2%) in cases and 195/218,779 (0.1%) in controls. IRRs of COVID-19 patients having newly diagnosed AA compared to controls were 0.78 (95% CI: 0.48–1.27) when age and sex were adjusted for and 0.60 (95% CI: 0.35–1.03) when all demographic variables were adjusted for.

          Conclusion: Diagnosis of COVID-19 was not significantly associated with the development of AA even after appropriately adjusting for covariates.

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          Most cited references33

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          Ranking the effectiveness of worldwide COVID-19 government interventions

          Assessing the effectiveness of non-pharmaceutical interventions (NPIs) to mitigate the spread of SARS-CoV-2 is critical to inform future preparedness response plans. Here we quantify the impact of 6,068 hierarchically coded NPIs implemented in 79 territories on the effective reproduction number, Rt, of COVID-19. We propose a modelling approach that combines four computational techniques merging statistical, inference and artificial intelligence tools. We validate our findings with two external datasets recording 42,151 additional NPIs from 226 countries. Our results indicate that a suitable combination of NPIs is necessary to curb the spread of the virus. Less disruptive and costly NPIs can be as effective as more intrusive, drastic, ones (for example, a national lockdown). Using country-specific 'what-if' scenarios, we assess how the effectiveness of NPIs depends on the local context such as timing of their adoption, opening the way for forecasting the effectiveness of future interventions.
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            Is diabetes mellitus associated with mortality and severity of COVID-19? A meta-analysis

            Background Many studies on COVID-19 have reported diabetes to be associated with severe disease and mortality, however, the data is conflicting. The objectives of this meta-analysis were to explore the relationship between diabetes and COVID-19 mortality and severity, and to determine the prevalence of diabetes in patients with COVID-19. Methods We searched the PubMed for case-control studies in English, published between Jan 1 and Apr 22, 2020, that had data on diabetes in patients with COVID-19. The frequency of diabetes was compared between patients with and without the composite endpoint of mortality or severity. Random effects model was used with odds ratio as the effect size. We also determined the pooled prevalence of diabetes in patients with COVID-19. Heterogeneity and publication bias were taken care by meta-regression, sub-group analyses, and trim and fill methods. Results We included 33 studies (16,003 patients) and found diabetes to be significantly associated with mortality of COVID-19 with a pooled odds ratio of 1.90 (95% CI: 1.37–2.64; p < 0.01). Diabetes was also associated with severe COVID-19 with a pooled odds ratio of 2.75 (95% CI: 2.09–3.62; p < 0.01). The combined corrected pooled odds ratio of mortality or severity was 2.16 (95% CI: 1.74–2.68; p < 0.01). The pooled prevalence of diabetes in patients with COVID-19 was 9.8% (95% CI: 8.7%–10.9%) (after adjusting for heterogeneity). Conclusions Diabetes in patients with COVID-19 is associated with a two-fold increase in mortality as well as severity of COVID-19, as compared to non-diabetics. Further studies on the pathogenic mechanisms and therapeutic implications need to be done.
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              Lifestyle Risk Factors, Inflammatory Mechanisms, and COVID-19 Hospitalization: A Community-Based Cohort Study of 387,109 Adults in UK

              Highlights • The association between lifestyle factors and risk of COVID-19 hospitalisation is unknown. • In this large community-based sample, poorer lifestyle habit and elevated C-reactive protein was associated with greater risk of COVID-19 hospitalisation. • Unhealthy lifestyle behaviours in combination accounted for up to 51% of the population attributable fraction of severe COVID-19. • Low grade inflammation may be an important mechanism. • Adopting simple lifestyle changes could lower the risk of severe COVID-19 infection.
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                Author and article information

                Contributors
                Journal
                Front Med (Lausanne)
                Front Med (Lausanne)
                Front. Med.
                Frontiers in Medicine
                Frontiers Media S.A.
                2296-858X
                13 October 2021
                2021
                13 October 2021
                : 8
                : 758069
                Affiliations
                [1] 1Graduate School of Public Health, Korea University , Seoul, South Korea
                [2] 2Department of Preventive Medicine, Korea University College of Medicine , Seoul, South Korea
                [3] 3Transdisciplinary Major in Learning Health Systems, Department of Healthcare Sciences, Graduate School, Korea University , Seoul, South Korea
                Author notes

                Edited by: Angelo Valerio Marzano, University of Milan, Italy

                Reviewed by: Hiroki Hashimoto, Kyusyu University, Japan; Priscila Giavedoni, Hospital Clínic de Barcelona, Spain

                *Correspondence: Byung Chul Chun chun@ 123456korea.ac.kr

                This article was submitted to Dermatology, a section of the journal Frontiers in Medicine

                Article
                10.3389/fmed.2021.758069
                8550157
                34722594
                c873f7ba-abe0-4662-8337-b6ef4308a799
                Copyright © 2021 Kim, Hong, Gómez Gómez, Kim and Chun.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 13 August 2021
                : 14 September 2021
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 34, Pages: 7, Words: 3875
                Categories
                Medicine
                Original Research

                covid-19,sars-cov-2,complications,alopecia areata,cohort study

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