Literature DB >> 35213712

Associations of Glycated Albumin and HbA1c with Chronic Kidney Disease in US Adults.

Hyunju Kim1,2, Olive Tang1,2, Casey M Rebholz1,2, Morgan E Grams1, Josef Coresh1,2, Robert H Christenson3, Elizabeth Selvin1,2.   

Abstract

BACKGROUND: Glycated albumin may provide complementary information to hemoglobin A1c (HbA1c). We compared cross-sectional associations of HbA1c and glycated albumin with chronic kidney disease (CKD) in US adults.
METHODS: We included 10 923 adults (9955 without diagnosed diabetes, 968 with a diabetes diagnosis) from the National Health and Nutrition Examination Survey 1999-2004. We examined continuous associations and clinical cut points for HbA1c among those without diabetes (<5.0%, 5.0%-5.6% (reference), 5.7%-6.4%, ≥6.5%) and among those with diagnosed diabetes (<7.0%, 7.0%-8.9%, ≥9.0%) and percentile equivalents for glycated albumin. We used logistic regression to compare associations with prevalent CKD, adjusting for traditional risk factors. We used likelihood ratio tests to assess whether adding glycated albumin improved the model with HbA1c.
RESULTS: There were J-shaped associations for both glycated albumin and HbA1c with CKD. Persons without a history of diabetes and very low glycated albumin or HbA1c were more likely to have CKD compared to those without diabetes and normoglycemia. The odds ratios (ORs) for CKD were 1.32 (95% CI, 1.12-1.55) for HbA1c 5.7% to 6.4% and 2.04 (95% CI, 1.28-3.25) for HbA1c ≥6.5%. The ORs for glycated albumin were 1.27 (95% CI, 1.06-1.51) and 2.48 (95% CI, 1.50-4.08) for glycated albumin 14.4% to 17.8% and ≥17.9%, respectively. The inclusion of glycated albumin in the model with HbA1c and traditional risk factors modestly but significantly improved the model fit (P value = 0.006).
CONCLUSIONS: Glycated albumin and HbA1c were similarly associated with prevalent CKD. Glycated albumin provides complementary information to HbA1c for prevalent CKD. © American Association for Clinical Chemistry 2022. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  US adults; biomarkers; blood; chronic kidney disease; glycated albumin; hemoglobin A1c

Mesh:

Substances:

Year:  2022        PMID: 35213712      PMCID: PMC9246894          DOI: 10.1093/jalm/jfac006

Source DB:  PubMed          Journal:  J Appl Lab Med        ISSN: 2475-7241


  32 in total

1.  Basic performance of an enzymatic method for glycated albumin and reference range determination.

Authors:  Takuji Kohzuma; Tamotsu Yamamoto; Yumiko Uematsu; Zak K Shihabi; Barry I Freedman
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

2.  Human blood pressure determination by sphygmomanometry.

Authors:  D Perloff; C Grim; J Flack; E D Frohlich; M Hill; M McDonald; B Z Morgenstern
Journal:  Circulation       Date:  1993-11       Impact factor: 29.690

3.  Associations of body mass index with glycated albumin and glycated albumin/glycated hemoglobin A1c ratio in Chinese diabetic and non-diabetic populations.

Authors:  Xingxing He; Yifei Mo; Xiaojing Ma; Lingwen Ying; Wei Zhu; Yufei Wang; Yuqian Bao; Jian Zhou
Journal:  Clin Chim Acta       Date:  2018-05-24       Impact factor: 3.786

4.  Body mass index negatively influences glycated albumin, but not glycated hemoglobin, in diabetic patients.

Authors:  Masafumi Koga; Soeko Matsumoto; Hiroshi Saito; Soji Kasayama
Journal:  Endocr J       Date:  2006-05-23       Impact factor: 2.349

5.  Assessment of Glycated Albumin as a Useful Indicator for Renal Dysfunction in Diabetic and Nondiabetic Population.

Authors:  Nan Duan; Sai-Nan Zhu; Hai-Xia Li; Li-Li Jiao; Hong-Yun Yang; Qi Guo
Journal:  Clin Lab       Date:  2017-07-01       Impact factor: 1.138

Review 6.  Beyond HbA1c and glucose: the role of nontraditional glycemic markers in diabetes diagnosis, prognosis, and management.

Authors:  Christina M Parrinello; Elizabeth Selvin
Journal:  Curr Diab Rep       Date:  2014       Impact factor: 4.810

7.  Baseline Glycated Albumin Predicts the Renal Dysfunction in a Five-Year Prospective Population-Based Study.

Authors:  Chenwei Huang; Qi Guo; Nan Duan; Lu Pang; Nan Zhang; Haixia Li
Journal:  Clin Lab       Date:  2020-07-01       Impact factor: 1.138

8.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

9.  National health and nutrition examination survey: plan and operations, 1999-2010.

Authors:  George Zipf; Michele Chiappa; Kathryn S Porter; Yechiam Ostchega; Brenda G Lewis; Jennifer Dostal
Journal:  Vital Health Stat 1       Date:  2013-08

10.  Low hemoglobin A(1c) in nondiabetic adults: an elevated risk state?

Authors:  Vikas Aggarwal; Andrea L C Schneider; Elizabeth Selvin
Journal:  Diabetes Care       Date:  2012-08-01       Impact factor: 19.112

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