ArticleClinical and experimental nephrology2025
Kidney lesions and risk of cardiovascular events in biopsy-proven diabetic kidney disease with type 2 diabetes.
Article in Clinical and experimental nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Letter to 'Kidney lesions and risk of cardiovascular events in biopsy-proven diabetic kidney disease with type 2 diabetes'.Clinical and experimental nephrology · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
23 authors.
Funding
Abstract
backgroundThis study assessed the association of pathological kidney lesions with cardiovascular events in biopsy-proven diabetic kidney disease (DKD) with type 2 diabetes.
methodsThis multicenter, retrospective study involved 244 patients with no previous cardiovascular events before biopsy, estimated glomerular filtration rate (eGFR) ≥ 30 mL/min/1.73 m
resultsDuring follow-up (median: 6.4 years), 43 patients experienced cardiovascular events. The baseline clinical characteristics did not differ according to cardiovascular events. The cumulative incidence of cardiovascular events was higher in patients with mesangiolysis, global glomerulosclerosis ≥ 50%, moderate/severe interstitial inflammation, and moderate/severe arteriolar hyalinosis than in those having less advanced each lesion. Fine-Gray regression models revealed that global glomerulosclerosis ≥ 50% (subdistribution hazard ratio [SHR]: 3.85; 95% confidence interval [95% CI] 1.28-11.52), moderate/severe interstitial inflammation (SHR: 2.49; 95% CI 1.18-5.29), and moderate/severe arteriolar hyalinosis (SHR: 3.51; 95% CI 1.15-10.69) were linked to increased risk of cardiovascular events, after adjusting for clinical variables including RAAS inhibitors use at baseline. Adding the severity of these lesions to clinical variables improved the predictive value for cardiovascular events.
conclusionsIn DKD with type 2 diabetes, advanced glomerulosclerosis, interstitial inflammation, and arteriolar hyalinosis were associated with cardiovascular events, adding predictive value to clinical features.
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