Serum glycated albumin predicts all-cause mortality in dialysis patients with diabetes mellitus: meta-analysis and systematic review of a predictive biomarker.

Journal Article (Journal Article;Systematic Review)

BACKGROUND AND AIM: HbA1c, the traditional and current gold standard biomarker guiding diabetic management, has been scrutinized for low predictive value for patients with chronic kidney disease due to variables affecting erythrocyte number and turnover. Glycated albumin, the precursor to advanced glycation end products, reflects glycemic status over the preceding 2-3 week period and already outperforms HbA1c for glycemic monitoring. Our aim was to establish whether serum GA can be further used to predict mortality risk in dialysis patients with diabetes mellitus (DM) METHODS: We did systematic review of the literature in PubMed/Medline, Web of Science, Embase (Elsevier) and the Cochrane Central Register of Controlled Trials (Wiley) up to and including February 2020. RESULTS: This meta-analysis included 25,932 dialysis patients across 12 studies with maximum follow-up of 11 years. Higher GA levels were associated with the risk of all-cause mortality in dialysis patients with DM (HR 1.02, 95% CI 1.01 to 1.03, P < 0.001) irrespective of the type of dialysis, whereas higher GA was not associated with cardiovascular mortality (HR 1.03, 95% CI 0.99 to 1.06, P = 0.15) and cardiovascular events (both fatal and non-fatal) (HR 1.03, 95% CI 0.97 to 1.09, P = 0.31) in dialysis patients with DM. CONCLUSION: Serum glycated albumin predicts all-cause mortality risk in dialysis patients with DM. The endpoints of cardiovascular mortality and cardiovascular events trended similarly, but did not reach significance at the current sample size.

Full Text

Duke Authors

Cited Authors

  • Copur, S; Siriopol, D; Afsar, B; Comert, MC; Uzunkopru, G; Sag, AA; Ortiz, A; Covic, A; van Raalte, DH; Cherney, DZ; Rossing, P; Kanbay, M

Published Date

  • January 2021

Published In

Volume / Issue

  • 58 / 1

Start / End Page

  • 81 - 91

PubMed ID

  • 32862262

Electronic International Standard Serial Number (EISSN)

  • 1432-5233

Digital Object Identifier (DOI)

  • 10.1007/s00592-020-01581-x


  • eng

Conference Location

  • Germany