Literature DB >> 18476915

Glycated albumin levels predict long-term survival in diabetic patients undergoing haemodialysis.

Kousuke Fukuoka1, Kazushi Nakao, Hisanori Morimoto, Ai Nakao, Yuji Takatori, Katsuhiko Arimoto, Masafumi Taki, Jun Wada, Hirofumi Makino.   

Abstract

AIM: Glycated albumin (GA) is recognized as a reliable marker for monitoring glycemic control particularly in patients with end-stage renal disease (ESRD). Here, we investigated the impact of GA levels on long-term survival in diabetic patients with ESRD.
METHODS: We enrolled ESRD patients with diabetic nephropathy into our single-centre prospective follow-up study (n = 98, 66 men and 32 women; age 68.2 12.3 years) with a mean follow-up period of 47.7 months. All patients had started haemodialysis between December 1992 and November 2003. They were categorized into two groups according to their GA levels at the initiation of haemodialysis; GA < 29% (low-GA group; n = 54) and GA 29% (high-GA group; n = 44).
RESULTS: Between low-GA and high-GA groups, there were no significant differences in various clinical parameters except GA and HbA1c levels. The cumulative survival rate of low-GA group was significantly higher than that of high-GA group (P = 0.034, log-rank test). After adjustment for age, sex, total cholesterol, C-reactive protein and albumin, high-GA was a significant predictor of survival (hazard ratio 1.042 per 1.0% increment of GA, 95% CI 1.014-1.070, P < 0.05), but not in the case with HbA1c. Cox proportional hazard model demonstrated that high-GA group was a significant predictor for cardiovascular death (hazard ratio 2.971 (1.064-8.298), P = 0.038).
CONCLUSION: We conclude that poor glycemic control (GA 29%) before starting haemodialysis is associated with increased cardiovascular morbidity and shortened survival in diabetic patients with ESRD.

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Year:  2008        PMID: 18476915     DOI: 10.1111/j.1440-1797.2007.00864.x

Source DB:  PubMed          Journal:  Nephrology (Carlton)        ISSN: 1320-5358            Impact factor:   2.506


  24 in total

1.  The Effect of Glycated Hemoglobin and Albumin-Corrected Glycated Serum Protein on Mortality in Diabetic Patients Receiving Continuous Peritoneal Dialysis.

Authors:  Fenfen Peng; Xi Xia; Feng He; Zhijian Li; Fengxian Huang; Xueqing Yu
Journal:  Perit Dial Int       Date:  2014-11-13       Impact factor: 1.756

Review 2.  Haemodialysis-induced hypoglycaemia and glycaemic disarrays.

Authors:  Masanori Abe; Kamyar Kalantar-Zadeh
Journal:  Nat Rev Nephrol       Date:  2015-04-07       Impact factor: 28.314

Review 3.  Inpatient Glycemic Management in the Setting of Renal Insufficiency/Failure/Dialysis.

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Journal:  Curr Diab Rep       Date:  2018-08-15       Impact factor: 4.810

4.  High Glycated Albumin and Mortality in Persons with Diabetes Mellitus on Hemodialysis.

Authors:  Christina W Chen; Christiane Drechsler; Pirianthini Suntharalingam; S Ananth Karumanchi; Christoph Wanner; Anders H Berg
Journal:  Clin Chem       Date:  2016-10-13       Impact factor: 8.327

5.  Glycated Hemoglobin Level and Mortality in a Nondiabetic Population with CKD.

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6.  Dialysis: Glycated albumin or HbA(1c) in dialysis patients with diabetes?

Authors:  Georg Biesenbach; Erich Pohanka
Journal:  Nat Rev Nephrol       Date:  2011-08-02       Impact factor: 28.314

7.  Safety and efficacy of teneligliptin: a novel DPP-4 inhibitor for hemodialysis patients with type 2 diabetes.

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Review 8.  Glycemic control and burnt-out diabetes in ESRD.

Authors:  Csaba P Kovesdy; Jong C Park; Kamyar Kalantar-Zadeh
Journal:  Semin Dial       Date:  2010-03-30       Impact factor: 3.455

Review 9.  Haemoglobin A1c or Glycated Albumin for Diagnosis and Monitoring Diabetes: An African Perspective.

Authors:  J A George; R T Erasmus
Journal:  Indian J Clin Biochem       Date:  2018-05-03

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

Authors:  Sidar Copur; Dimitrie Siriopol; Baris Afsar; Melis C Comert; Gizem Uzunkopru; Alan A Sag; Alberto Ortiz; Adrian Covic; Daniel H van Raalte; David Z Cherney; Peter Rossing; Mehmet Kanbay
Journal:  Acta Diabetol       Date:  2020-08-30       Impact factor: 4.280

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