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      Hospitalized COVID‐19 patients with diabetes have an increased risk for pneumonia, intensive care unit requirement, intubation, and death: A cross‐sectional cohort study in Mexico in 2020

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          Abstract

          Background

          Diabetes mellitus is a chronic health condition that has been linked with an increased risk of severe illness and mortality from COVID‐19. In Mexico, the impact of diabetes on COVID‐19 outcomes in hospitalized patients has not been fully quantified. Understanding the increased risk posed by diabetes in this patient population can help healthcare providers better allocate resources and improve patient outcomes.

          Objective

          The objective of this study was to quantify the extent outcomes (pneumonia, intensive care unit [ICU] stay, intubation, and death) are worsened in diabetic patients with COVID‐19.

          Methods

          Between April 14, 2020 and December 20, 2020 (last accessed), data from the open‐source COVID‐19 database maintained by the Mexican Federal Government were examined. Utilizing hospitalized COVID‐19 patients with complete outcome data, a retrospective cohort study ( N = 402,388) was carried out. In relation to COVID‐19, both univariate and multivariate logistic regression were used to investigate the effect of diabetes on specific outcomes.

          Results

          The analysis included 402,388 adults (age >18) with confirmed hospitalized COVID‐19 cases with mean age 46.16 (standard deviation = 15.55), 214,161 (53%) male. The outcomes delineated included pneumonia ( N = 88,064; 22%), ICU requirement ( N = 23,670; 6%), intubation ( N = 23,670; 6%), and death ( N = 55,356; 14%). After controlling for confounding variables diabetes continued to be an independent risk factor for both pneumonia (odds ratio [OR]: 1.8, confidence interval [CI]: 1.76−1.84, p < 0.01), ICU requirement (OR: 1.09, CI: 1.04−1.14, p < 0.01), intubation (OR: 1.07, CI: 1.04−1.11, p < 0.01), and death (OR: 1.88, CI: 1.84−1.93, p < 0.01) in COVID‐19 patients.

          Conclusions

          According to the study, all outcomes (pneumonia, ICU requirement, intubation, and death) were greater among hospitalized individuals with diabetes and COVID‐19. Additional study is required to acquire a better understanding of how diabetes affects COVID‐19 outcomes and to develop practical mitigation techniques for the risk of severe sickness and complications in this particular patient population.

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          Most cited references58

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          Diabetes mellitus is associated with increased mortality and severity of disease in COVID-19 pneumonia – A systematic review, meta-analysis, and meta-regression ☆

          Background and aims Diabetes Mellitus (DM) is chronic conditions with devastating multi-systemic complication and may be associated with severe form of Coronavirus Disease 2019 (COVID-19). We conducted a systematic review and meta-analysis in order to investigate the association between DM and poor outcome in patients with COVID-19 pneumonia. Methods Systematic literature search was performed from several electronic databases on subjects that assess DM and outcome in COVID-19 pneumonia. The outcome of interest was composite poor outcome, including mortality, severe COVID-19, acute respiratory distress syndrome (ARDS), need for intensive care unit (ICU) care, and disease progression. Results There were a total of 6452 patients from 30 studies. Meta-analysis showed that DM was associated with composite poor outcome (RR 2.38 [1.88, 3.03], p < 0.001; I2: 62%) and its subgroup which comprised of mortality (RR 2.12 [1.44, 3.11], p < 0.001; I2: 72%), severe COVID-19 (RR 2.45 [1.79, 3.35], p < 0.001; I2: 45%), ARDS (RR 4.64 [1.86, 11.58], p = 0.001; I2: 9%), and disease progression (RR 3.31 [1.08, 10.14], p = 0.04; I2: 0%). Meta-regression showed that the association with composite poor outcome was influenced by age (p = 0.003) and hypertension (p < 0.001). Subgroup analysis showed that the association was weaker in studies with median age ≥55 years-old (RR 1.92) compared to <55 years-old (RR 3.48), and in prevalence of hypertension ≥25% (RR 1.93) compared to <25% (RR 3.06). Subgroup analysis on median age <55 years-old and prevalence of hypertension <25% showed strong association (RR 3.33) Conclusion DM was associated with mortality, severe COVID-19, ARDS, and disease progression in patients with COVID-19.
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            Aging in COVID-19: Vulnerability, immunity and intervention

            The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic was first reported in Wuhan, China in December 2019, moved across the globe at an unprecedented speed, and has caused a profound and yet still unfolding health and socioeconomic impacts. SARS-CoV-2, a β-coronavirus, is a highly contagious respiratory pathogen that causes a disease that has been termed the 2019 coronavirus disease (COVID-19). Clinical experience thus far indicates that COVID-19 is highly heterogeneous, ranging from being asymptomatic and mild to severe and causing death. Host factors including age, sex, and comorbid conditions are key determinants of disease severity and progression. Aging itself is a prominent risk factor for severe disease and death from COVID-19. We hypothesize that age-related decline and dysregulation of immune function, i.e., immunosenescence and inflammaging play a major role in contributing to heightened vulnerability to severe COVID-19 outcomes in older adults. Much remains to be learned about the immune responses to SARS-CoV-2 infection. We need to begin partitioning all immunological outcome data by age to better understand disease heterogeneity and aging. Such knowledge is critical not only for understanding of COVID-19 pathogenesis but also for COVID-19 vaccine development.
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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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                Author and article information

                Contributors
                huangs8@vcu.edu
                Journal
                Health Sci Rep
                Health Sci Rep
                10.1002/(ISSN)2398-8835
                HSR2
                Health Science Reports
                John Wiley and Sons Inc. (Hoboken )
                2398-8835
                18 April 2023
                April 2023
                : 6
                : 4 ( doiID: 10.1002/hsr2.v6.4 )
                : e1222
                Affiliations
                [ 1 ] Department of Statistics and Data Science Cornell University Ithaca New York USA
                [ 2 ] Northwestern University Feinberg School of Medicine Chicago Illinois USA
                [ 3 ] Virginia Commonwealth University School of Medicine Richmond USA
                Author notes
                [*] [* ] Correspondence Samuel Y. Huang, Department of Statistics and Data Science, Cornell University, Ithaca, New York, USA; Virginia Commonwealth University School of Medicine, Richmond, 23223, USA.

                Email: huangs8@ 123456vcu.edu

                Author information
                http://orcid.org/0000-0003-3663-004X
                Article
                HSR21222
                10.1002/hsr2.1222
                10112272
                37081996
                371cd30f-56e1-4dcb-919a-4b7d7903c269
                © 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 06 April 2023
                : 24 January 2023
                : 07 April 2023
                Page count
                Figures: 0, Tables: 6, Pages: 7, Words: 4639
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                April 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:18.04.2023

                covid‐19,diabetes mellitus,icu,intubation,logistic regression,mexico,mortality,pneumonia,resource allocation,retrospective cohort study,risk factors

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