Literature DB >> 32788282

Continuous Glucose Monitoring and Use of Alternative Markers To Assess Glycemia in Chronic Kidney Disease.

Leila R Zelnick1,2, Zona O Batacchi3, Iram Ahmad4,5, Ashveena Dighe6, Randie R Little7, Dace L Trence8, Irl B Hirsch8, Ian H de Boer6,2,9.   

Abstract

OBJECTIVE: In chronic kidney disease, glycated albumin and fructosamine have been postulated to be better biomarkers of glycemic control than HbA1c. We evaluated the accuracy, variability, and covariate bias of three biomarkers (HbA1c, glycated albumin, and fructosamine) compared with continuous glucose monitoring (CGM)-derived measurement of glycemia across estimated glomerular filtration rate (eGFR) in type 2 diabetes. RESEARCH DESIGN AND METHODS: A prospective cohort study was conducted of 104 participants with type 2 diabetes, 80 with eGFR <60 mL/min/1.73 m2 (not treated with dialysis) and 24 frequency-matched control subjects with eGFR ≥60 mL/min/1.73 m2. Participants wore a blinded CGM for two 6-day periods separated by 2 weeks, with blood and urine collected at the end of each CGM period. HbA1c, glycated albumin, and fructosamine were measured by high-performance liquid chromatographic, enzymatic, and colorimetric nitroblue tetrazolium methods, respectively.
RESULTS: Within-person biomarker values were strongly correlated between the two CGM periods (r = 0.92-0.95), although no marker fully captured the within-person variability of mean CGM glucose. All markers were similarly correlated with mean CGM glucose (r = 0.71-77). Compared with mean CGM glucose, glycated albumin and fructosamine were significantly biased by age, BMI, serum iron concentration, transferrin saturation, and albuminuria; HbA1c was underestimated in those with albuminuria.
CONCLUSIONS: Glycated albumin and fructosamine were not less variable than HbA1c at a given mean CGM glucose level, with several additional sources of bias. These results support measuring HbA1c to monitor trends in glycemia among patients with eGFR <60 mL/min/1.73 m2. Direct measurements of glucose are necessary to capture short-term variability.
© 2020 by the American Diabetes Association.

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Year:  2020        PMID: 32788282      PMCID: PMC7510019          DOI: 10.2337/dc20-0915

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  39 in total

1.  Hemoglobin A(1c) and fructosamine for assessing glycemic control in diabetic patients with CKD stages 3 and 4.

Authors:  Harn-Shen Chen; Tzu-En Wu; Hong-Da Lin; Tjin-Shing Jap; Li-Chuan Hsiao; Shen-Hung Lee; Shu-Hsia Lin
Journal:  Am J Kidney Dis       Date:  2010-03-03       Impact factor: 8.860

2.  Clinical Manifestations of Kidney Disease Among US Adults With Diabetes, 1988-2014.

Authors:  Maryam Afkarian; Leila R Zelnick; Yoshio N Hall; Patrick J Heagerty; Katherine Tuttle; Noel S Weiss; Ian H de Boer
Journal:  JAMA       Date:  2016-08-09       Impact factor: 56.272

3.  Fructosamine and Glycated Albumin and the Risk of Cardiovascular Outcomes and Death.

Authors:  Elizabeth Selvin; Andreea M Rawlings; Pamela L Lutsey; Nisa Maruthur; James S Pankow; Michael Steffes; Josef Coresh
Journal:  Circulation       Date:  2015-05-28       Impact factor: 29.690

4.  Racial Differences in the Relationship of Glucose Concentrations and Hemoglobin A1c Levels.

Authors:  Richard M Bergenstal; Robin L Gal; Crystal G Connor; Rose Gubitosi-Klug; Davida Kruger; Beth A Olson; Steven M Willi; Grazia Aleppo; Ruth S Weinstock; Jamie Wood; Michael Rickels; Linda A DiMeglio; Kathleen E Bethin; Santica Marcovina; Andreana Tassopoulos; Sooji Lee; Elaine Massaro; Suzan Bzdick; Brian Ichihara; Eileen Markmann; Paul McGuigan; Stephanie Woerner; Michelle Ecker; Roy W Beck
Journal:  Ann Intern Med       Date:  2017-06-13       Impact factor: 25.391

5.  Estimating glomerular filtration rate from serum creatinine and cystatin C.

Authors:  Lesley A Inker; Christopher H Schmid; Hocine Tighiouart; John H Eckfeldt; Harold I Feldman; Tom Greene; John W Kusek; Jane Manzi; Frederick Van Lente; Yaping Lucy Zhang; Josef Coresh; Andrew S Levey
Journal:  N Engl J Med       Date:  2012-07-05       Impact factor: 91.245

6.  Traditional and nontraditional glycemic markers and risk of peripheral artery disease: The Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Ning Ding; Lucia Kwak; Shoshana H Ballew; Bernard Jaar; Ron C Hoogeveen; Christie M Ballantyne; A Richey Sharrett; Aaron R Folsom; Gerardo Heiss; Maya Salameh; Josef Coresh; Alan T Hirsch; Elizabeth Selvin; Kunihiro Matsushita
Journal:  Atherosclerosis       Date:  2018-04-30       Impact factor: 5.162

7.  Comparison of glycated albumin and hemoglobin A1c concentrations in diabetic subjects on peritoneal and hemodialysis.

Authors:  Barry I Freedman; Rajeev N Shenoy; Jonathan A Planer; Kimberly D Clay; Zak K Shihabi; John M Burkart; Cesar Y Cardona; Lilian Andries; Todd P Peacock; Hernan Sabio; Joyce R Byers; Gregory B Russell; Anthony J Bleyer
Journal:  Perit Dial Int       Date:  2010 Jan-Feb       Impact factor: 1.756

Review 8.  Glycated albumin in diabetic patients with chronic kidney disease.

Authors:  Cai-Mei Zheng; Wen-Ya Ma; Chia-Chao Wu; Kuo-Cheng Lu
Journal:  Clin Chim Acta       Date:  2012-05-10       Impact factor: 3.786

9.  Glycosylated hemoglobin and albumin-corrected fructosamine are good indicators for glycemic control in peritoneal dialysis patients.

Authors:  Szu-Ying Lee; Yin-Cheng Chen; I-Chieh Tsai; Chung-Jen Yen; Shu-Neng Chueh; Hsueh-Fang Chuang; Hon-Yen Wu; Chih-Kang Chiang; Hui-Teng Cheng; Kuan-Yu Hung; Jenq-Wen Huang
Journal:  PLoS One       Date:  2013-03-04       Impact factor: 3.240

10.  Do glycemic marker levels vary by race? Differing results from a cross-sectional analysis of individuals with and without diagnosed diabetes.

Authors:  April P Carson; Paul Muntner; Elizabeth Selvin; Mercedes R Carnethon; Xuelin Li; Myron D Gross; W Timothy Garvey; Cora E Lewis
Journal:  BMJ Open Diabetes Res Care       Date:  2016-06-10
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  5 in total

1.  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 2.  The Need to Pair Molecular Monitoring Devices with Molecular Imaging to Personalize Health.

Authors:  Zachary J Comeau; Benoît H Lessard; Adam J Shuhendler
Journal:  Mol Imaging Biol       Date:  2022-03-07       Impact factor: 3.484

Review 3.  Use of Continuous Glucose Monitoring in the Assessment and Management of Patients With Diabetes and Chronic Kidney Disease.

Authors:  James Ling; Jack K C Ng; Juliana C N Chan; Elaine Chow
Journal:  Front Endocrinol (Lausanne)       Date:  2022-04-22       Impact factor: 6.055

Review 4.  Assessment of glycemia in chronic kidney disease.

Authors:  Mohamed Hassanein; Tariq Shafi
Journal:  BMC Med       Date:  2022-04-13       Impact factor: 8.775

5.  Evaluation of Serum Glucose and Kidney Disease Progression Among Patients With Diabetes.

Authors:  Hae Hyuk Jung
Journal:  JAMA Netw Open       Date:  2021-09-01
  5 in total

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