Literature DB >> 25887355

The hemoglobin glycation index identifies subpopulations with harms or benefits from intensive treatment in the ACCORD trial.

James M Hempe1, Shuqian Liu2, Leann Myers3, Robert J McCarter4, John B Buse5, Vivian Fonseca2.   

Abstract

OBJECTIVE: This study tested the hypothesis that intensive treatment in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial disproportionately produced adverse outcomes in patients with diabetes with a high hemoglobin glycation index (HGI = observed HbA1c - predicted HbA1c). RESEARCH DESIGN AND METHODS: ACCORD was a randomized controlled trial of 10,251 patients with type 2 diabetes assigned to standard or intensive treatment with HbA1c goals of 7.0% to 7.9% (53 to 63 mmol/mol) and less than 6% (42 mmol/mol), respectively. In this ancillary study, a linear regression equation (HbA1c = 0.009 × fasting plasma glucose [FPG] [mg/dL] + 6.8) was derived from 1,000 randomly extracted participants at baseline. Baseline FPG values were used to calculate predicted HbA1c and HGI for the remaining 9,125 participants. Kaplan-Meier and Cox regression were used to assess the effects of intensive treatment on outcomes in patients with a low, moderate, or high HGI.
RESULTS: Intensive treatment was associated with improved primary outcomes (composite of cardiovascular events) in the low (hazard ratio [HR] 0.75 [95% CI 0.59-0.95]) and moderate (HR 0.77 [95% CI 0.61-0.97]) HGI subgroups but not in the high HGI subgroup (HR 1.14 [95% CI 0.93-1.40]). Higher total mortality in intensively treated patients was confined to the high HGI subgroup (HR 1.41 [95% CI 1.10-1.80]). A high HGI was associated with a greater risk for hypoglycemia in the standard and intensive treatment groups.
CONCLUSIONS: HGI calculated at baseline identified subpopulations in ACCORD with harms or benefits from intensive glycemic control. HbA1c is not a one-size-fits-all indicator of blood glucose control, and taking this into account when making management decisions could improve diabetes care.
© 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

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Year:  2015        PMID: 25887355      PMCID: PMC4439529          DOI: 10.2337/dc14-1844

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


  43 in total

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4.  Unexplained variability of glycated haemoglobin in non-diabetic subjects not related to glycaemia.

Authors:  J S Yudkin; R D Forrest; C A Jackson; A J Ryle; S Davie; B J Gould
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Authors:  H Madsen; J J Kjaergaard; J Ditzel
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7.  Skin intrinsic fluorescence is associated with hemoglobin A(1c )and hemoglobin glycation index but not mean blood glucose in children with type 1 diabetes.

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8.  Relationship between A1C and fasting plasma glucose in dysglycemia or type 2 diabetes: an analysis of baseline data from the ORIGIN trial.

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9.  Variables involved in the discordance between HbA1c and fructosamine: the glycation gap revisited.

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10.  Estimation of the glycation gap in diabetic patients with stable glycemic control.

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Journal:  Diabetes Care       Date:  2012-09-06       Impact factor: 19.112

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2.  Pre-morbid glycemic control modifies the interaction between acute hypoglycemia and mortality.

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3.  The Fallacy of Average: How Using HbA1c Alone to Assess Glycemic Control Can Be Misleading.

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Journal:  Diabetes Care       Date:  2017-08       Impact factor: 19.112

Review 4.  Positioning time in range in diabetes management.

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5.  Factors associated with failure to achieve a glycated haemoglobin target of <8.0% in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial.

Authors:  T C Drake; F-C Hsu; D Hire; S-H Chen; R M Cohen; R McDuffie; E Nylen; P O'Connor; S Rehman; E R Seaquist
Journal:  Diabetes Obes Metab       Date:  2015-10-26       Impact factor: 6.577

6.  HbA1c and Diabetes: Mismatches and Misclassifications.

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7.  Implications of the Hemoglobin Glycation Index on the Diagnosis of Prediabetes and Diabetes.

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8.  Estimation of Hemoglobin A1c from Continuous Glucose Monitoring Data in Individuals with Type 1 Diabetes: Is Time In Range All We Need?

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9.  The Relationships Between Time in Range, Hyperglycemia Metrics, and HbA1c.

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Review 10.  Glycemic Targets in Diabetes Care: Emerging Clarity after Accord.

Authors:  John B Buse
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