Abstract
OBJECTIVE Diabetes mellitus (DM) is a major risk factor for severe coronavirus disease 2019 (COVID-19) for reasons that are unclear. RESEARCH DESIGN AND METHODS We leveraged the International Study of Inflammation in COVID-19 (ISIC), a multicen-ter observational study of 2,044 patients hospitalized with COVID-19, to characterize the impact of DM on in-hospital outcomes and assess the contribution of inflammation and hyperglycemia to the risk attributed to DM. We measured biomarkers of inflammation collected at hospital admission and collected glucose levels and insulin data throughout hospitalization. The primary outcome was the composite of in-hospi-tal death, need for mechanical ventilation, and need for renal replacement therapy. RESULTS Among participants (mean age 60 years, 58.2% males), those with DM (n = 686, 33.5%) had a significantly higher cumulative incidence of the primary outcome (37.8% vs. 28.6%) and higher levels of inflammatory biomarkers than those without DM. Among biomarkers, DM was only associated with higher soluble urokinase plas-minogen activator receptor (suPAR) levels in multivariable analysis. Adjusting for suPAR levels abrogated the association between DM and the primary outcome (adjusted odds ratio 1.23 [95% CI 0.78, 1.37]). In mediation analysis, we estimated the proportion of the effect of DM on the primary outcome mediated by suPAR at 84.2%. Hyperglycemia and higher insulin doses were independent predictors of the primary outcome, with effect sizes unaffected by adjusting for suPAR levels. CONCLUSIONS Our findings suggest that the association between DM and outcomes in COVID-19 is largely mediated by hyperinflammation as assessed by suPAR levels, while the impact of hyperglycemia is independent of inflammation.
Original language | English (US) |
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Pages (from-to) | 692-700 |
Number of pages | 9 |
Journal | Diabetes care |
Volume | 45 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2022 |
Funding
Funding. A.V. is supported by a National Heart, Lung, and Blood Institute–funded postdoctoral fellowship (T32HL007853). S.S.H. is funded by National Heart, Lung, and Blood Institute grant 1R01HL153384-01, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) grants 1R01DK12801201A1 and U01DK119083-03S1, and the Frankel Cardiovascular Center COVID-19: Impact Research Ignitor award (U-M G024231). R.P.-B. is supported by NIDDK grants 1R01DK107956-01 and U01DK119083, JDRF Australia grant 5-COE-2019-861-S-B, and Michigan Diabetes Research Center pilot and feasibility NIDDK grant P30-DK020572. E.G.B. is supported by the Hellenic Institute for the Study of Sepsis. F.T. is supported through intramural funds from Charité Universit€atsmedizin Berlin and the Berlin Institute of Health. S.P. is supported by the University of Michigan O’Brien Kidney Translational Core Center (NIDDK grant P30DK081943). The funders had no role in the design or conduct of the study; collection, management, analysis, or interpretation of the data; and preparation, review, or decision to publish the manuscript. Duality of Interest. J.R. and S.S.H. are members of the scientific advisory board of Walden Biosciences. J.E.O. is a cofounder, shareholder, and chief scientific officer of ViroGates and a named inventor on patents related to suPAR. No other potential conflicts of interest relevant to this article were reported. Author Contributions. A.V. wrote the first draft. A.V., Y.H., L.Z., R.P.-B., and S.S.H. performed the statistical analyses. H.S., I.K., T.C., E.A., H.B., M.P., T.U.A., C.M., P.O., E.M., R.F., P.B., C.L., and S.S.H. collected the data and performed quality control. L.A., M.M., K.M.-S., S.P., M.K., S.H.L., A.C., F.T., E.J.G.-B., J.R., J.E.O., E.L.F., R.P.-B., and S.S.H. provided expert interpretation of the findings. All authors reviewed the initial draft and provided critical revisions and approved the final version of the manuscript. R.P.-B. and S.S.H. are the guarantors of this work and, as such, had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Data Sharing. Study protocol, statistical code, and data set summary data are available upon request after publication through a collaborative process. Data sets can be accessed upon approval of a submitted research proposal. Please contact [email protected]. edu for additional information.
ASJC Scopus subject areas
- Internal Medicine
- Endocrinology, Diabetes and Metabolism
- Advanced and Specialized Nursing