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Burden and excess risk of adverse outcomes in patients with type 1 diabetes utilizing KDIGO classification: A national cohort study

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posted on 2024-11-20, 18:40 authored by Kianoush Makvandi, Björn Eliasson, Hanne Krage Carlsen, Seema Baid-Agrawal

Objective: The widely adopted KDIGO classification system, "Kidney Disease: Improving Global Outcomes” (KDIGO) has been underutilized in assessing the burden and risk of adverse outcomes in type 1 diabetes. This observational study aimed to clarify how each KDIGO category correlates with outcomes, including mortality in this patient group.

Research design and Methods: In 40,199 diabetes type 1 subjects from the Swedish National Diabetes Register, we examined the: (1) prevalence of different KDIGO categories at baseline; (2) incidence of adverse kidney and cardiovascular (CV) outcomes, including mortality, within each category; and (3) association of baseline category with excess risk of five outcomes (40% decline in estimated glomerular filtration rate [eGFR], kidney failure, major adverse kidney/CV events, all-cause mortality). Cox regression analyses were conducted using three different reference categories: (1) the conventional low-risk "combined G1A1+G2A1"; (2) "G1A1" alone to assess if G2A1 had excess risk; and (3)“G1bA1” alone to evaluate if eGFR ≥105 ml/min had increased risk.

Results: Among 39,067 included patients, with a mean follow-up of 9.1 years, 18.5% presented with chronic kidney disease (eGFR <60 ml/min/1.73m² and/or albuminuria). A progressive increase in incidence and adjusted hazard ratio for all studied outcomes was found with advancing eGFR and albuminuria categories, including in G2A1 (non-CKD). eGFR ≥105 ml/min without albuminuria was not associated with increased risk.

Conclusion: A progressively increasing burden of all studied adverse outcomes was observed with advancing KDIGO categories. Even subjects with preserved eGFR and normoalbuminuria (G2A1) conventionally perceived as non-CKD, had excess risk for all outcomes.


Funding

The study received partial funding from the John and Brit Wennerström’s Research Foundation, with no direct participation from the funders in shaping the scientific content of this research.

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