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Continuous Glucose Monitoring and Use of Alternative Markers To Assess Glycemia in Chronic Kidney Disease.
Zelnick, Leila R; Batacchi, Zona O; Ahmad, Iram; Dighe, Ashveena; Little, Randie R; Trence, Dace L; Hirsch, Irl B; de Boer, Ian H.
Afiliação
  • Zelnick LR; Kidney Research Institute, University of Washington, Seattle, WA lzelnick@uw.edu.
  • Batacchi ZO; Division of Nephrology, University of Washington, Seattle, WA.
  • Ahmad I; Summit Medical Group, New Providence, NJ.
  • Dighe A; Division of Endocrinology, Banner-MD Anderson Cancer Center, Gilbert, AZ.
  • Little RR; University of Arizona College of Medicine-Phoenix, Phoenix, AZ.
  • Trence DL; Kidney Research Institute, University of Washington, Seattle, WA.
  • Hirsch IB; Department of Pathology and Anatomical Sciences, University of Missouri, Columbia, MO.
  • de Boer IH; Division of Metabolism, Endocrinology, and Nutrition, University of Washington, Seattle, WA.
Diabetes Care ; 43(10): 2379-2387, 2020 10.
Article em En | MEDLINE | ID: mdl-32788282
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glicemia / Biomarcadores / Diabetes Mellitus Tipo 2 / Insuficiência Renal Crônica Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Diabetes Care Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glicemia / Biomarcadores / Diabetes Mellitus Tipo 2 / Insuficiência Renal Crônica Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Diabetes Care Ano de publicação: 2020 Tipo de documento: Article