The bidirectional association between diabetes and long-COVID-19 – A systematic review

Harding, Jessica L.; Oviedo, Sofia A.; Ali, Mohammed K.; Ofotokun, Igho; Gander, Jennifer C.; Patel, Shivani A.; Magliano, Dianna J.; Patzer, Rachel E.

doi:10.1016/j.diabres.2022.110202

Cited by 56 publications

(44 citation statements)

References 59 publications

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“…Regarding the relationship between diabetes and long COVID, there seems to be a bidirectional relationship between these variables [13,14]. Harding et al [14] showed that COVID-19 survivors may be at increased risk of new-onset diabetes and that preexisting diabetes is also a risk factor for the development of postacute sequelae of COVID-19. In turn, Ssentongo et al [15] demonstrated that COVID-19 was a risk factor for the development of diabetes, causing an increase of 66% among survivors.…”

Section: Discussionmentioning

confidence: 99%

Symptom patterns of long COVID and chronic illness: a cross-sectional analysis of the SulCovid-19 Study

Gonzalez

Steffens

Perim

et al. 2023

Preprint

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Little is known about the natural history and consequences of SARS-CoV-2 infection. Some individuals who have had COVID continue to have symptoms after acute infection, a condition known as long COVID. Thus, the objective of this study is to identify the patterns of long COVID and its relationship with chronic diseases in adults and older adult residents in southern Brazil. Population-based cross-sectional study with data from the baseline of the SulCovid-19 Study. The sample consisted of 2,919 individuals with a positive diagnosis of COVID-19 between December 2020 and March 2021. For the construction of the outcome, 18 symptoms were evaluated. The exhibits were the medical diagnoses of 11 chronic diseases. Symptom patterns were identified using principal component analysis, and associations of patterns with chronic diseases were determined using Poisson regression. Four patterns of long COVID were identified. The cognitive pattern was the most prevalent (20.5%; 95% CI 19.0;22.0), followed by respiratory (15.7%; 95% CI 14.4;17.1), neuromusculoskeletal (15.4%; 95% CI 14.1;16.7) and neurosensory (14.0%; 95% CI 12.8;15.3). Heart problems, anxiety and back problems were associated with all patterns. Persistent symptoms after COVID-19 infection may constitute pattern behavior. Chronic illnesses increase the likelihood of developing long COVID symptom patterns.

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Section: Discussionmentioning

confidence: 99%

Symptom patterns of long COVID and chronic illness: a cross-sectional analysis of the SulCovid-19 Study

Gonzalez

Steffens

Perim

et al. 2023

Preprint

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show abstract

“…There is evidence that SARS‐CoV‐2 infection triggers new‐onset type 2 diabetes (T2D), with insulin resistance being a feature of COVID‐19‐related glycaemic disruption 1–9 . A few reports also describe a link between new‐onset diabetes and insulin‐dependent diabetic ketoacidosis (DKA), 10–16 suggesting that SARS‐CoV‐2 infection could induce insulin dependence in addition to insulin resistance.…”

Section: Introductionmentioning

confidence: 99%

Incidence, characteristics, risk factors and outcomes of diabetic ketoacidosis in COVID‐19 patients: Comparison with influenza and pre‐pandemic data

Dell’Aquila

Lee

Wang

et al. 2023

Diabetes Obesity Metabolism

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Aims This study characterized incidence, patient profiles, risk factors and outcomes of in‐hospital diabetic ketoacidosis (DKA) in patients with COVID‐19 compared with influenza and pre‐pandemic data. Methods This study consisted of 13 383 hospitalized patients with COVID‐19 (March 2020‐July 2022), 19 165 hospitalized patients with influenza (January 2018‐July 2022) and 35 000 randomly sampled hospitalized pre‐pandemic patients (January 2017‐December 2019) in Montefiore Health System, Bronx, NY, USA. Primary outcomes were incidence of in‐hospital DKA, in‐hospital mortality, and insulin use at 3 and 6 months post‐infection. Risk factors for developing DKA were identified. Results The overall incidence of DKA in patients with COVID‐19 and influenza, and pre‐pandemic were 2.1%, 1.4% and 0.5%, respectively (p < .05 pairwise). Patients with COVID‐19 with DKA had worse acute outcomes (p < .05) and higher incidence of new insulin treatment 3 and 6 months post‐infection compared with patients with influenza with DKA (p < .05). The incidence of DKA in patients with COVID‐19 was highest among patients with type 1 diabetes (12.8%), followed by patients with insulin‐dependent type 2 diabetes (T2D; 5.2%), non‐insulin dependent T2D (2.3%) and, lastly, patients without T2D (1.3%). Patients with COVID‐19 with DKA had worse disease severity and higher mortality [odds ratio = 6.178 (4.428‐8.590), p < .0001] compared with those without DKA. Type 1 diabetes, steroid therapy for COVID‐19, COVID‐19 status, black race and male gender were associated with increased risk of DKA. Conclusions The incidence of DKA was higher in COVID‐19 cohort compared to the influenza and pre‐pandemic cohort. Patients with COVID‐19 with DKA had worse outcomes compared with those without. Many COVID‐19 survivors who developed DKA during hospitalization became insulin dependent. Identification of risk factors for DKA and new insulin‐dependency could enable careful monitoring and timely intervention.

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“…It is postulated that the SARS-CoV-2 virus may induce pancreatic beta-cell dysfunction and aggravate insulin resistance by enhancing inflammation in the peripheral tissues [2] . Moreover, a recent meta -analysis found that individuals with DM may be at increased risk of long COVID [3] . As the immune responses of individuals with poorly controlled DM are impaired, breakthrough COVID infections can occur despite vaccination [4] .…”

Section: Introductionmentioning

confidence: 99%

Repurposing exercise training and pharmacological therapies to address the post-acute sequelae of COVID-19 (PASC) in diabetes mellitus

Chee

Dalan

2023

Diabetes Research and Clinical Practice

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The bidirectional association between diabetes and long-COVID-19 – A systematic review

Cited by 56 publications

References 59 publications

Symptom patterns of long COVID and chronic illness: a cross-sectional analysis of the SulCovid-19 Study

Symptom patterns of long COVID and chronic illness: a cross-sectional analysis of the SulCovid-19 Study

Incidence, characteristics, risk factors and outcomes of diabetic ketoacidosis in COVID‐19 patients: Comparison with influenza and pre‐pandemic data

Repurposing exercise training and pharmacological therapies to address the post-acute sequelae of COVID-19 (PASC) in diabetes mellitus

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