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Estimating Glycemia From HbA1c and CGM: Analysis of Accuracy and Sources of Discrepancy.
Tozzo, Veronica; Genco, Matthew; Omololu, Shammah O; Mow, Christopher; Patel, Hasmukh R; Patel, Chhaya H; Ho, Samantha N; Lam, Evie; Abdulsater, Batoul; Patel, Nikita; Cohen, Robert M; Nathan, David M; Powe, Camille E; Wexler, Deborah J; Higgins, John M.
Afiliação
  • Tozzo V; Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA.
  • Genco M; Department of Systems Biology, Harvard Medical School, Boston, MA.
  • Omololu SO; Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Cincinnati College of Medicine, Cincinnati, OH.
  • Mow C; Medical Service, Cincinnati Veterans Affairs Medical Center, Cincinnati, OH.
  • Patel HR; University of Cincinnati, College of Nursing, Cincinnati, OH.
  • Patel CH; Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA.
  • Ho SN; Mass General Brigham Enterprise Research IS, Boston, MA.
  • Lam E; Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA.
  • Abdulsater B; Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA.
  • Patel N; Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA.
  • Cohen RM; Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA.
  • Nathan DM; Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA.
  • Powe CE; Department of Pathology and Center for Systems Biology, Massachusetts General Hospital, Boston, MA.
  • Wexler DJ; Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Cincinnati College of Medicine, Cincinnati, OH.
  • Higgins JM; Medical Service, Cincinnati Veterans Affairs Medical Center, Cincinnati, OH.
Diabetes Care ; 47(3): 460-466, 2024 Mar 01.
Article em En | MEDLINE | ID: mdl-38394636
ABSTRACT

OBJECTIVE:

To examine the accuracy of different periods of continuous glucose monitoring (CGM), hemoglobin A1c (HbA1c), and their combination for estimating mean glycemia over 90 days (AG90). RESEARCH DESIGN AND

METHODS:

We retrospectively studied 985 CGM periods of 90 days with <10% missing data from 315 adults (86% of whom had type 1 diabetes) with paired HbA1c measurements. The impact of mean red blood cell age as a proxy for nonglycemic effects on HbA1c was estimated using published theoretical models and in comparison with empirical data. Given the lack of a gold standard measurement for AG90, we applied correction methods to generate a reference (eAG90) that we used to assess accuracy for HbA1c and CGM.

RESULTS:

Using 14 days of CGM at the end of the 90-day period resulted in a mean absolute error (95th percentile) of 14 (34) mg/dL when compared with eAG90. Nonglycemic effects on HbA1c led to a mean absolute error for average glucose calculated from HbA1c of 12 (29) mg/dL. Combining 14 days of CGM with HbA1c reduced the error to 10 (26) mg/dL. Mismatches between CGM and HbA1c >40 mg/dL occurred more than 5% of the time.

CONCLUSIONS:

The accuracy of estimates of eAG90 from limited periods of CGM can be improved by averaging with an HbA1c-based estimate or extending the monitoring period beyond ∼26 days. Large mismatches between eAG90 estimated from CGM and HbA1c are not unusual and may persist due to stable nonglycemic factors.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glicemia / Diabetes Mellitus Tipo 1 Limite: Adult / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glicemia / Diabetes Mellitus Tipo 1 Limite: Adult / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article