New-Onset Diabetes after COVID-19
| Autor: | Sun H Kim, Ipsa Arora, Daniel S Hsia, William C Knowler, Erin LeBlanc, Eleftherios Mylonakis, Richard Pratley, Anastassios G Pittas |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | The Journal of Clinical Endocrinology & Metabolism. |
| ISSN: | 1945-7197 0021-972X |
| DOI: | 10.1210/clinem/dgad284 |
| Popis: | There is evidence suggesting that infection with SARS-CoV-2 can lead to several long-term sequelae including diabetes. This mini-review examines the rapidly evolving and conflicting literature on new-onset diabetes after COVID-19, which we term NODAC. We searched PubMed, MEDLINE, and medRxiv from inception until December 1, 2022 using both MeSH terms and free text words including “COVID-19,” “SARS-CoV-2,” “diabetes,” “hyperglycemia,” “insulin resistance,” and “pancreatic β-cell.” We also supplemented searches by examining reference lists from retrieved articles. Current evidence suggests that COVID-19 increases the risk of developing diabetes, but the attributable risk is uncertain due to limitations of study designs and the evolving nature of the pandemic, including new variants, widespread population exposure to the virus, diagnostic options for COVID-19 and vaccination status. The etiology of diabetes after COVID-19 is likely multifactorial and includes factors associated with host characteristics (e.g., age), social determinants of health (e.g., deprivation index), and pandemic-related effects both at the personal (e.g., psychosocial stress) and the societal-community level (e.g., containment measures). COVID-19 may have direct and indirect effects on pancreatic β-cell function and insulin sensitivity related to: the acute infection and its treatment (e.g., glucocorticoids); autoimmunity; persistent viral residency in multiple organs including adipose tissue; endothelial dysfunction; and hyperinflammatory state. While our understanding of NODAC continues to evolve, consideration should be given for diabetes to be classified as a post-COVID syndrome, in addition to traditional classifications of diabetes (e.g., type 1 or type 2), so that the pathophysiology, natural history and optimal management can be studied. |
| Databáze: | OpenAIRE |
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