Literature DB >> 23594745

Using hemoglobin A1c to derive mean blood glucose in peritoneal dialysis patients.

Junichi Hoshino1, Rajnish Mehrotra, Connie M Rhee, Kunihiro Yamagata, Yoshifumi Ubara, Kenmei Takaichi, Csaba P Kovesdy, Miklos Z Molnar, Kamyar Kalantar-Zadeh.   

Abstract

BACKGROUND: Although hemoglobin A1c (HbA1c) has been widely used as a clinical assessment tool for outcome analyses related to glycemic control, the relationship between HbA1c and average blood glucose (BG) specific to peritoneal dialysis (PD) patients with diabetes has not been characterized. We sought to develop HbA1c-BG equation models for PD patients.
METHODS: We examined associations between HbA1c and random serum BG values over time in a contemporary 5-year (2001-2006) cohort of DaVita PD patients with diabetes. We identified 850 patients (mean age: 58 ± 13 years, 56% male) with 4,566 paired measurements of HbA1c and BG. The bootstrapping method was used to estimate average BG and corresponding HbA1c.
RESULTS: Linear regression analyses yielded the following HbA1c-BG equations: (1) BG (mg/dl) = 24.1 + 28.6 × HbA1c - 12.2 × albumin [adjusted R(2) (R(2)adj = 0.454)], (2) BG = 55.3 + 28.8 × HbA1c - 10.2 × albumin - 3.3 × Hb (R(2)adj = 0.457), and (3) BG = 69.5 + 28.7 × HbA1c - 10.1 × albumin - 3.7 × Hb - 0.1 × age + race/ethnicity (-10.1 African Americans, -5.4 other race/ethnicities; R(2)adj = 0.457). All models showed greater explanatory power of BG variation than previously established HbA1c-BG equation models defined within non-PD cohorts [R(2)adj = 0.446 for both the Diabetes Control and Complications Trial (DCCT) and the A1c-Derived Average Glucose (ADAG) equations].
CONCLUSIONS: The association between HbA1c and BG in PD patients is different than that of patients with normal kidney function. Our analysis suggests that equations incorporating serum albumin and/or Hb values better estimate the HbA1c-BG relationship in PD patients compared to equations using HbA1c alone.
Copyright © 2013 S. Karger AG, Basel.

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Year:  2013        PMID: 23594745      PMCID: PMC3844668          DOI: 10.1159/000349929

Source DB:  PubMed          Journal:  Am J Nephrol        ISSN: 0250-8095            Impact factor:   3.754


  25 in total

1.  Defining the relationship between plasma glucose and HbA(1c): analysis of glucose profiles and HbA(1c) in the Diabetes Control and Complications Trial.

Authors:  Curt L Rohlfing; Hsiao-Mei Wiedmeyer; Randie R Little; Jack D England; Alethea Tennill; David E Goldstein
Journal:  Diabetes Care       Date:  2002-02       Impact factor: 19.112

2.  A1C and survival in maintenance hemodialysis patients.

Authors:  Kamyar Kalantar-Zadeh; Joel D Kopple; Deborah L Regidor; Jennie Jing; Christian S Shinaberger; Jason Aronovitz; Charles J McAllister; David Whellan; Kumar Sharma
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3.  Ethnic variation in the correlation between random serum glucose concentration and glycated haemoglobin.

Authors:  A J Bleyer; D Hire; G B Russell; J Xu; J Divers; Z Shihabi; D W Bowden; B I Freedman
Journal:  Diabet Med       Date:  2009-02       Impact factor: 4.359

4.  Comparison of glycated albumin and hemoglobin A(1c) levels in diabetic subjects on hemodialysis.

Authors:  T P Peacock; Z K Shihabi; A J Bleyer; E L Dolbare; J R Byers; M A Knovich; J Calles-Escandon; G B Russell; B I Freedman
Journal:  Kidney Int       Date:  2008-02-20       Impact factor: 10.612

5.  Extremes of glycemic control (HbA1c) increase hospitalization risk in diabetic hemodialysis patients in the USA.

Authors:  M E Williams; E Lacson; M Teng; R M Hakim; J M Lazarus
Journal:  Am J Nephrol       Date:  2008-08-08       Impact factor: 3.754

6.  Glycated albumin as an improved indicator of glycemic control in hemodialysis patients with type 2 diabetes based on fasting plasma glucose and oral glucose tolerance test.

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Authors:  Jessica E Miller; Csaba P Kovesdy; Allen R Nissenson; Rajnish Mehrotra; Elani Streja; David Van Wyck; Sander Greenland; Kamyar Kalantar-Zadeh
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9.  Serum 1,5-anhydroglucitol concentrations are a reliable index of glycemic control in type 2 diabetes with mild or moderate renal dysfunction.

Authors:  Won Jun Kim; Cheol-Young Park; Kyu-Beck Lee; Se Eun Park; Eun Jung Rhee; Won Young Lee; Ki Won Oh; Sung Woo Park
Journal:  Diabetes Care       Date:  2011-12-30       Impact factor: 19.112

10.  Translating the A1C assay into estimated average glucose values.

Authors:  David M Nathan; Judith Kuenen; Rikke Borg; Hui Zheng; David Schoenfeld; Robert J Heine
Journal:  Diabetes Care       Date:  2008-06-07       Impact factor: 19.112

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Journal:  Semin Dial       Date:  2015-02-03       Impact factor: 3.455

2.  Prevalence of glycemic variability and factors associated with the glycemic arrays among end-stage kidney disease patients on chronic hemodialysis.

Authors:  Abdul Hanif Khan Yusof Khan; Nor Fadhlina Zakaria; Muhammad Adil Zainal Abidin; Nor Azmi Kamaruddin
Journal:  Medicine (Baltimore)       Date:  2021-07-30       Impact factor: 1.817

3.  Continuous Glucose Monitoring Metrics in the Assessment of Glycemia in Moderate-to-Advanced CKD in Diabetes.

Authors:  James Ling; Jack K C Chung Ng; Eric S H Lau; Ronald C W Ma; Alice P S Kong; Andrea O Y Luk; Jeffrey S S Kwok; Cheuk-Chun Szeto; Juliana C N Chan; Elaine Chow
Journal:  Kidney Int Rep       Date:  2022-04-06

Review 4.  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

5.  Glycemic Patterns and Factors Associated with Post-Hemodialysis Hyperglycemia among End-Stage Renal Disease Patients undergoing Maintenance Hemodialysis.

Authors:  Abdul Hanif Khan Yusof Khan; Nor Fadhlina Zakaria; Muhammad Adil Zainal Abidin; Christopher Tiam Seong Lim; Nor Azmi Kamaruddin
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6.  Long-term glycemic variability and the risk of mortality in diabetic patients receiving peritoneal dialysis.

Authors:  Hanri Afghahi; Salmir Nasic; Björn Peters; Helena Rydell; Henrik Hadimeri; Johan Svensson
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7.  Diabetic kidney disease: a report from an ADA Consensus Conference.

Authors:  Katherine R Tuttle; George L Bakris; Rudolf W Bilous; Jane L Chiang; Ian H de Boer; Jordi Goldstein-Fuchs; Irl B Hirsch; Kamyar Kalantar-Zadeh; Andrew S Narva; Sankar D Navaneethan; Joshua J Neumiller; Uptal D Patel; Robert E Ratner; Adam T Whaley-Connell; Mark E Molitch
Journal:  Diabetes Care       Date:  2014-10       Impact factor: 19.112

  7 in total

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