Continuous Glucose Monitoring and Use of Alternative Markers To Assess Glycemia in Chronic Kidney Disease
In chronic kidney disease, glycated albumin and fructosamine have been postulated to be better biomarkers of glycemic control than HbA . We evaluated the accuracy, variability, and covariate bias of three biomarkers (HbA , glycated albumin, and fructosamine) compared with continuous glucose monitori...
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Published in | Diabetes care Vol. 43; no. 10; pp. 2379 - 2387 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Diabetes Association
01.10.2020
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Subjects | |
Online Access | Get full text |
ISSN | 0149-5992 1935-5548 1935-5548 |
DOI | 10.2337/dc20-0915 |
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Abstract | In chronic kidney disease, glycated albumin and fructosamine have been postulated to be better biomarkers of glycemic control than HbA
. We evaluated the accuracy, variability, and covariate bias of three biomarkers (HbA
, glycated albumin, and fructosamine) compared with continuous glucose monitoring (CGM)-derived measurement of glycemia across estimated glomerular filtration rate (eGFR) in type 2 diabetes.
A prospective cohort study was conducted of 104 participants with type 2 diabetes, 80 with eGFR <60 mL/min/1.73 m
(not treated with dialysis) and 24 frequency-matched control subjects with eGFR ≥60 mL/min/1.73 m
. 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. HbA
, glycated albumin, and fructosamine were measured by high-performance liquid chromatographic, enzymatic, and colorimetric nitroblue tetrazolium methods, respectively.
Within-person biomarker values were strongly correlated between the two CGM periods (
= 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 (
= 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; HbA
was underestimated in those with albuminuria.
Glycated albumin and fructosamine were not less variable than HbA
at a given mean CGM glucose level, with several additional sources of bias. These results support measuring HbA
to monitor trends in glycemia among patients with eGFR <60 mL/min/1.73 m
. Direct measurements of glucose are necessary to capture short-term variability. |
---|---|
AbstractList | 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.OBJECTIVEIn 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.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.RESEARCH DESIGN AND METHODSA 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.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.RESULTSWithin-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.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.CONCLUSIONSGlycated 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. 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. In chronic kidney disease, glycated albumin and fructosamine have been postulated to be better biomarkers of glycemic control than HbA . We evaluated the accuracy, variability, and covariate bias of three biomarkers (HbA , glycated albumin, and fructosamine) compared with continuous glucose monitoring (CGM)-derived measurement of glycemia across estimated glomerular filtration rate (eGFR) in type 2 diabetes. A prospective cohort study was conducted of 104 participants with type 2 diabetes, 80 with eGFR <60 mL/min/1.73 m (not treated with dialysis) and 24 frequency-matched control subjects with eGFR ≥60 mL/min/1.73 m . 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. HbA , glycated albumin, and fructosamine were measured by high-performance liquid chromatographic, enzymatic, and colorimetric nitroblue tetrazolium methods, respectively. Within-person biomarker values were strongly correlated between the two CGM periods ( = 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 ( = 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; HbA was underestimated in those with albuminuria. Glycated albumin and fructosamine were not less variable than HbA at a given mean CGM glucose level, with several additional sources of bias. These results support measuring HbA to monitor trends in glycemia among patients with eGFR <60 mL/min/1.73 m . Direct measurements of glucose are necessary to capture short-term variability. |
Author | Ahmad, Iram Trence, Dace L. Hirsch, Irl B. de Boer, Ian H. Batacchi, Zona O. Little, Randie R. Zelnick, Leila R. Dighe, Ashveena |
Author_xml | – sequence: 1 givenname: Leila R. orcidid: 0000-0002-8461-5111 surname: Zelnick fullname: Zelnick, Leila R. organization: Kidney Research Institute, University of Washington, Seattle, WA, Division of Nephrology, University of Washington, Seattle, WA – sequence: 2 givenname: Zona O. surname: Batacchi fullname: Batacchi, Zona O. organization: Summit Medical Group, New Providence, NJ – sequence: 3 givenname: Iram surname: Ahmad fullname: Ahmad, Iram organization: Division of Endocrinology, Banner-MD Anderson Cancer Center, Gilbert, AZ, University of Arizona College of Medicine-Phoenix, Phoenix, AZ – sequence: 4 givenname: Ashveena surname: Dighe fullname: Dighe, Ashveena organization: Kidney Research Institute, University of Washington, Seattle, WA – sequence: 5 givenname: Randie R. orcidid: 0000-0001-6450-8012 surname: Little fullname: Little, Randie R. organization: Department of Pathology and Anatomical Sciences, University of Missouri, Columbia, MO – sequence: 6 givenname: Dace L. surname: Trence fullname: Trence, Dace L. organization: Division of Metabolism, Endocrinology, and Nutrition, University of Washington, Seattle, WA – sequence: 7 givenname: Irl B. orcidid: 0000-0003-1675-8417 surname: Hirsch fullname: Hirsch, Irl B. organization: Division of Metabolism, Endocrinology, and Nutrition, University of Washington, Seattle, WA – sequence: 8 givenname: Ian H. surname: de Boer fullname: de Boer, Ian H. organization: Kidney Research Institute, University of Washington, Seattle, WA, Division of Nephrology, University of Washington, Seattle, WA, Puget Sound Veterans Affairs Health Care System, Seattle, WA |
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Snippet | In chronic kidney disease, glycated albumin and fructosamine have been postulated to be better biomarkers of glycemic control than HbA
. We evaluated the... OBJECTIVE In chronic kidney disease, glycated albumin and fructosamine have been postulated to be better biomarkers of glycemic control than HbA1c. We... In chronic kidney disease, glycated albumin and fructosamine have been postulated to be better biomarkers of glycemic control than HbA1c. We evaluated the... |
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SubjectTerms | Albumin Albumins Bias Biomarkers Blood glucose Clinical Care/Education/Nutrition/Psychosocial Research Colorimetry Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Dialysis Epidermal growth factor receptors Glomerular filtration rate Glucose Glucose monitoring Kidney diseases Kidneys Monitoring Research design Telemedicine Transferrin Transferrins Variability |
Title | Continuous Glucose Monitoring and Use of Alternative Markers To Assess Glycemia in Chronic Kidney Disease |
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