Literature DB >> 16941022

Hemodialyzed type I and type II diabetic patients in the US: Characteristics, glycemic control, and survival.

M E Williams1, E Lacson, M Teng, N Ofsthun, J M Lazarus.   

Abstract

Diabetes mellitus (DM) constitutes a major end-stage renal disease (ESRD) health problem. Glycemic control is fundamental to the management of diabetes and its complications, and relies on monitoring of hyperglycemia. We therefore performed a primary data analysis of glycemic control and survival on a large national ESRD database. Ninety-five percent of patients with DM had type II diabetes (N = 23,504), and five percent had type I diabetes (N = 1,371). For the combined population, the mean hemoglobin A1c (HgbA1c) was 6.77%, and the mean random blood glucose was 168 mg/dl. Mean HgbA1c values were >7.0% in 35% and >8.5% in 14%. Mean HgbA1c values were below 5% in 11.3% of patients. Type I study patients tended to have higher HgbA1c values. Most patients (75.8%) had three or more random blood glucose determinations within 90 days preceding the HgbA1c measurement. The HgbA1c showed only a weak correlation with mean random glucose values (R2 0.3716; s.e. = 1.36). The survival rates in the subsequent 12-month period ranged from 80 to 85% across different HgbA1c strata. Kaplan-Meier survival curves grouped by HgbA1c levels showed no correlation between HgbA1c and survival at 12 months. More studies are needed to refine recommendations for the role of HgbA1c and glycemic control in this patient population.

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Year:  2006        PMID: 16941022     DOI: 10.1038/sj.ki.5001789

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  42 in total

1.  Glycemic control and survival in peritoneal dialysis patients with diabetes mellitus.

Authors:  Uyen Duong; Rajnish Mehrotra; Miklos Z Molnar; Nazanin Noori; Csaba P Kovesdy; Allen R Nissenson; Kamyar Kalantar-Zadeh
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2.  Quantitative Raman spectral changes of the differentiation of mesenchymal stem cells into islet-like cells by biochemical component analysis and multiple peak fitting.

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Journal:  J Biomed Opt       Date:  2015       Impact factor: 3.170

Review 3.  Review article: Biomarkers of clinical outcomes in advanced chronic kidney disease.

Authors:  Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  Nephrology (Carlton)       Date:  2009-06       Impact factor: 2.506

Review 4.  Haemodialysis-induced hypoglycaemia and glycaemic disarrays.

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

5.  Glycemic control and extended hemodialysis survival in patients with diabetes mellitus: comparative results of traditional and time-dependent Cox model analyses.

Authors:  Mark E Williams; Eduardo Lacson; Weiling Wang; J Michael Lazarus; Raymond Hakim
Journal:  Clin J Am Soc Nephrol       Date:  2010-07-29       Impact factor: 8.237

Review 6.  Updates on the management of diabetes in dialysis patients.

Authors:  Connie M Rhee; Angela M Leung; Csaba P Kovesdy; Katherine E Lynch; Gregory A Brent; Kamyar Kalantar-Zadeh
Journal:  Semin Dial       Date:  2014-03       Impact factor: 3.455

Review 7.  Management of hyperglycemia in hospitalized patients with renal insufficiency or steroid-induced diabetes.

Authors:  David Baldwin; Jill Apel
Journal:  Curr Diab Rep       Date:  2013-02       Impact factor: 4.810

8.  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

9.  Management of diabetes in dialysis patients.

Authors:  Mark E Williams
Journal:  Curr Diab Rep       Date:  2009-12       Impact factor: 4.810

10.  HbA1c and survival in maintenance hemodialysis patients with diabetes in Han Chinese population.

Authors:  Xiurong Li; Xianlin Xu; Jinfeng Liu; Junwei Yang; Li Fang; Liying Miao; Jia Di; Xiaozhou He
Journal:  Int Urol Nephrol       Date:  2014-06-26       Impact factor: 2.370

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