Interleukin-6 and suPAR improves prediction of all-cause mortality in type 1 diabetes - the Thousand & 1 Study

Abstract Background Cardiovascular diseases (CVD) are the leading cause of mortality in type 1 diabetes (T1D). Inflammation frequently accompanies T1D and is suggested as an important contributor to the pathogenesis and progression of CVD. However, current risk prediction models for T1D lack biomarkers of inflammation. Methods A prospective study of individuals with T1D without overt heart disease was evaluated. Interleukin-6 (IL-6), soluble urokinase-type plasminogen activator receptor (suPAR) and high-sensitivity C-reactive protein (hsCRP) were analysed. In Cox proportional hazards model, adjustments were made for variables in the Steno T1 Risk Engine: age, sex, duration of diabetes, HbA1c, systolic blood pressure, glomerular filtration rate, albuminuria status, use of statins, tobacco use and physical activity. The model included the biomarkers as continuous variables, and a "combination" category was defined as simultaneously elevated suPAR > 4 ng/mL and IL-6 > 3 pg/mL. The net reclassification improvement (NRI) and C-statistics were calculated. Results For included individuals (n=1,014, 52% male, mean age 50±15), follow-up was 100% after median of 12.2 years (interquartile range: 11.8 to 12.9).In the fully adjusted model, IL-6 and suPAR were both associated with all-cause mortality (IL-6 hazard ratio (HR): 1.6 (95% confidence interval: 1.04 to 2.4), suPAR HR: 1.9 (1.2 to 2.9). HsCRP was not associated with the outcome. The combination category showed even stronger association: HR 2.7 (1.4 to 5.1). When added to the Steno T1 Risk Engine, IL-6, suPAR, and their combination all added discriminatory power in predicting all-cause mortality assessed by NRI; IL-6: 38% (19 to 58), suPAR: 45% (25 to 65), combination 56% (36 to 76). C-statistics showed similar results for only suPAR. Area under the curve for suPAR: from 0.84 to 0.86 (P=0.049), IL-6: 0.84 to 0.85 (P=0.338), combination: 0.84 to 0.86 (P=0.066). Conclusions IL-6 and suPAR are independently associated with all-cause mortality in T1D without known heart disease. Assessment of IL-6 and suPAR in T1D may enhance risk prediction.Figure 1Figure 2

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Journal
European Heart Journal
Published
2024-10-01
DOI
https://doi.org/10.1093/eurheartj/ehae666.2909
Primary Topic
Diabetes Management and Research
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article
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article

Interleukin-6 and suPAR improves prediction of all-cause mortality in type 1 diabetes - the Thousand & 1 Study

Peter Godsk Jørgensen, Ulrik Dixen, Line Jee Hartmann Rasmussen, Hashmat Sayed Zohori Bahrami et al.
European Heart Journal
Diabetes Management and Research
article

Interleukin-6 and suPAR improves prediction of all-cause mortality in type 1 diabetes - the Thousand & 1 Study

Peter Godsk Jørgensen, Ulrik Dixen, Line Jee Hartmann Rasmussen, Hashmat Sayed Zohori Bahrami, Magnus T. Jensen, Jesper Eugen‐Olsen, Peter R Rossing, Jens Dahlgaard Hove
article en

Abstract

Abstract Background Cardiovascular diseases (CVD) are the leading cause of mortality in type 1 diabetes (T1D). Inflammation frequently accompanies T1D and is suggested as an important contributor to the pathogenesis and progression of CVD. However, current risk prediction models for T1D lack biomarkers of inflammation. Methods A prospective study of individuals with T1D without overt heart disease was evaluated. Interleukin-6 (IL-6), soluble urokinase-type plasminogen activator receptor (suPAR) and high-sensitivity C-reactive protein (hsCRP) were analysed. In Cox proportional hazards model, adjustments were made for variables in the Steno T1 Risk Engine: age, sex, duration of diabetes, HbA1c, systolic blood pressure, glomerular filtration rate, albuminuria status, use of statins, tobacco use and physical activity. The model included the biomarkers as continuous variables, and a "combination" category was defined as simultaneously elevated suPAR > 4 ng/mL and IL-6 > 3 pg/mL. The net reclassification improvement (NRI) and C-statistics were calculated. Results For included individuals (n=1,014, 52% male, mean age 50±15), follow-up was 100% after median of 12.2 years (interquartile range: 11.8 to 12.9).In the fully adjusted model, IL-6 and suPAR were both associated with all-cause mortality (IL-6 hazard ratio (HR): 1.6 (95% confidence interval: 1.04 to 2.4), suPAR HR: 1.9 (1.2 to 2.9). HsCRP was not associated with the outcome. The combination category showed even stronger association: HR 2.7 (1.4 to 5.1). When added to the Steno T1 Risk Engine, IL-6, suPAR, and their combination all added discriminatory power in predicting all-cause mortality assessed by NRI; IL-6: 38% (19 to 58), suPAR: 45% (25 to 65), combination 56% (36 to 76). C-statistics showed similar results for only suPAR. Area under the curve for suPAR: from 0.84 to 0.86 (P=0.049), IL-6: 0.84 to 0.85 (P=0.338), combination: 0.84 to 0.86 (P=0.066). Conclusions IL-6 and suPAR are independently associated with all-cause mortality in T1D without known heart disease. Assessment of IL-6 and suPAR in T1D may enhance risk prediction.Figure 1Figure 2

European Heart JournalVol. 45(Supplement_1)
Steno Diabetes Centers (DK), Hvidovre Hospital (DK), Copenhagen University Hospital (DK), Gentofte Hospital (DK)
Openalex Percentile: Top 70%
Diabetes Management and Research
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