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Editorial |

Glycemic Variability: A Hemoglobin A1c–Independent Risk Factor for Diabetic Complications

Michael Brownlee, MD; Irl B. Hirsch, MD
[+] Author Affiliations

Author Affiliations: JDRF International Center for Diabetic Complications Research, Albert Einstein College of Medicine, Bronx, NY (Dr Brownlee); and University of Washington School of Medicine, Diabetes Care Center, Seattle (Dr Hirsch).

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JAMA. 2006;295(14):1707-1708. doi:10.1001/jama.295.14.1707
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Diabetes affects an estimated 20.8 million individuals in the United States, 7% of the current population, and the lifetime risk of developing diabetes for those born in the year 2000 is 35%.1 2 Many of these individuals will develop diabetes-specific microvascular pathology in the retina, renal glomerulus, and peripheral nerve and accelerated atherosclerotic macrovascular disease affecting arteries that supply the heart, brain, and lower extremities. In both type 1 and type 2 diabetes, large prospective clinical studies have shown a strong relationship between time-averaged mean levels of glycemia, measured as hemoglobin A1c (HbA1c), and diabetic complications.3 4 These studies are the basis for the American Diabetes Association's current recommended treatment goal that HbA1c should be less than 7%.5 However, only about a third of patients diagnosed as having diabetes achieve that goal.6 Even fewer reach the target level for HbA1c of 6.5% advocated by the American College of Endocrinology.7

The advent of self-monitored blood glucose (SMBG) made it possible for patients with type 1 diabetes to achieve significantly lower levels of HbA1c.3 The American Diabetes Association recommends SMBG 3 or more times daily for patients receiving multiple insulin injections.5 However, there is no specific recommendation for the frequency of SMBG in patients with type 2 diabetes who are receiving oral agents or medical nutrition therapy.

In this issue of JAMA, Saudek and colleagues8 assess the evidence underlying both HbA1c testing and SMBG and arrive at evidence-based conclusions about their optimal use. The authors found disagreement among published studies about whether there is a relationship between frequency of SMBG and HbA1c, such that some studies have found no benefit of SMBG whereas others found benefit, with a reduction in HbA1c of 0.4% among patients who performed SMBG.9 Given this reduction, the estimated corresponding reduction in risk of complications in patients with type 2 diabetes would be only 12.5% for those whose initial HbA1c was 8%.4

Considering these facts, an important issue is whether greater risk reduction of diabetic complications can be achieved without further lowering of HbA1c. The study by Monnier and colleagues10 in this issue of JAMA provides new data to help address this issue. Over the past 35 years, several major molecular mechanisms have been implicated in glucose-mediated vascular damage. Each of these mechanisms has been studied independently of the others, with no apparent common element linking them. Recent discoveries have made clear that all of these seemingly unrelated mechanisms may arise from a single, hyperglycemia-induced process: the overproduction of the reactive free radical molecule superoxide. It now appears that mitochondria, the principal energy-generating organelles in the cell, are required for initiation of hyperglycemia-induced superoxide production, which can, in turn, activate a number of other superoxide production pathways that may amplify the original damaging effect of hyperglycemia. Increased free fatty acid oxidation in mitochondria also produces superoxide.11 13

In their study involving patients with type 2 diabetes not using insulin and with poor glycemic control (mean [SD] HbA1c of 9.6% [1.3%]), Monnier et al measured 24-hour excretion of 8-iso prostaglandin F (8-iso PGF), an indicator of free radical production derived from esterified arachidonic acid in cell membranes.14 15 At the same time, patients used a continuous blood glucose monitoring system, and fasting glucose levels and HbA1calso were determined. Among those with diabetes, there was a linear correlation between increased free radical production and the magnitude of glucose fluctuations, calculated as the mean amplitude of glycemic excursion (MAGE), a quantitative tool first described in 1970.16

There was no significant correlation between free radical production and the 24-hour mean glucose concentration, fasting plasma glucose levels, or even the HbA1c level. As reported previously,17 levels of this indicator of free radical production were nearly 2-fold higher in patients with diabetes compared with levels in nondiabetic controls. However, among those with diabetes, 8-iso PGF levels were 4 times higher in patients with greatest glycemic variability compared with patients having the lowest glycemic variability. Moreover, acute glucose variability as estimated by MAGE was a strong predictor of total free radical production, whereas postprandial blood glucose level area under the curve was not. This finding is important, given the intense interest in the possible role of postprandial hyperglycemia in the pathogenesis of diabetic atherosclerosis.18

Is this level of increased free radical production enough to cause clinically significant damage? Our research group has observed that exposure of lean nondiabetic participants to the same magnitude of glycemic excursion reported by Monnier et al, using hyperglycemic clamps for similar periods of time, causes a dramatic free radical–induced decrease in activity of a major antiatherogenic endothelial cell enzyme, prostacyclin synthase (M.B. et al, unpublished data). Prostacyclin synthase prevents both the initiation of atherosclerosis and the progression and nature of atherosclerotic plaques through actions affecting endothelial cells, monocytes/macrophages, and vascular smooth muscle cells.19

These new data reported by Monnier et al may explain how in the Diabetes Control and Complications Trial the diabetic retinopathy risk at identical sustained levels of HbA1c was significantly reduced by intensive treatment.20 For example, in the subgroups with a sustained HbA1c of 9% for the entire study duration, the risk for retinopathy was reduced by more than 50% in the intensive control group, even though these 2 subgroups of patients had the same HbA1c. Similar analyses have not yet been published from the UK Prospective Diabetes Study. Since continuous glucose monitoring is not yet feasible for routine, long-term patient care,8 an important clinical issue is whether physicians can estimate glycemic variability using SMBG monitoring data. Monnier and colleagues did not present data correlating the SMBG values obtained concomitantly with continuous glucose monitoring with the magnitude of free radical production. Such data would be invaluable for devising algorithms for calculating clinically meaningful estimates of glycemic variability from SMBG downloaded from patients' glucose meters. Most currently available glucose meters are able to calculate total and time-specific means and standard deviations.21

The new findings reported in this issue of JAMA by Monnier and colleagues,10 if confirmed in larger studies, have enormous clinical implications. First, these data suggest that in patients with type 2 diabetes, SMBG should be performed with increased frequency to monitor glycemic variability, regardless of the effect on HbA1c. Second, the findings suggest that different therapeutic strategies now in use should be evaluated for their potential to minimize glycemic excursion, as well as for their ability to reduce HbA1c.

The timing and frequency of SMBG necessary to optimally minimize glycemic variability need to be determined by future investigations. Additional work is needed to determine the best pharmacologic strategies for minimizing glycemic variability and the increased free radical production it causes. Wider use of real-time continuous glucose monitoring in clinical practice would provide the required monitoring tool to minimize glycemic variability and superoxide overproduction. In the midst of a global diabetes epidemic, efforts to assess and minimize glycemic variability as a risk factor independent of HbA1c may help reduce the staggering burden of diabetic complications.

AUTHOR INFORMATION

Corresponding Author: Irl B. Hirsch, MD, University of Washington School of Medicine, Diabetes Care Center, 4225 Roosevelt Way NE, Suite 101, Seattle, WA 98105 (ihirsch@u.washington.edu).

Financial Disclosures: Dr Hirsch reported that he has been a consultant for Eli Lilly, Sanofi-Aventis, Novo Nordisk, and Abbott and has received grant support from Sanofi-Aventis and Medtronic. Dr Brownlee reported no financial disclosures.

Editorials represent the opinions of the authors and JAMA and not those of the American Medical Association.

Steinbrook R. Facing the diabetes epidemic–mandatory reporting of glycosylated hemoglobin values in New York City.  N Engl J Med. 2006;354545-548
PubMed
Narayan KM, Boyle JP, Thompson TJ.  et al.  Lifetime risk for diabetes mellitus in the United States.  JAMA. 2003;2901884-1890
PubMed
The Diabetes Control and Complications Trial Research Group.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.  N Engl J Med. 1993;329977-986
PubMed
UK Prospective Diabetes Study (UKPDS) Group.  Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes.  Lancet. 1998;352837-853
PubMed
American Diabetes Association.  Standards of medical care in diabetes.  Diabetes Care. 2005;28(suppl 1)  S4-S36
PubMed
Saydah SH, Fradkin J, Cowie CC. Poor control of risk factors for vascular disease among adults with previously diagnosed diabetes.  JAMA. 2004;291335-342
PubMed
 American College of Endocrinology Consensus Statement on Guidelines for Glycemic Control.  Endocr Pract. 2002;8(suppl 1)  5-11
PubMed
Saudek CD, Derr RL, Kalyani RR. Assessing glycemia in diabetes using self-monitoring blood glucose and hemoglobin A1c JAMA. 2006;2951688-1697
Sarol JN Jr, Nicodemus NA Jr, Tan KM, Grava MB. Self-monitoring of blood glucose as part of a multi-component therapy among non-insulin requiring type 2 diabetes patients: a meta-analysis (1966-2004).  Curr Med Res Opin. 2005;21173-184
PubMed
Monnier L, Mas E, Ginet C.  et al.  Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes.  JAMA. 2006;2951681-1687
Brownlee M. Biochemistry and molecular cell biology of diabetic complications.  Nature. 2001;414813-820
PubMed
Brownlee M. The pathobiology of diabetic complications: a unifying mechanism.  Diabetes. 2005;541615-1625
PubMed
Du XD, Edelstein D, Obici S, Higham N, Zou MH, Brownlee M. Insulin resistance reduces arterial prostacyclin synthase and eNOS activities by increasing endothelial fatty acid oxidation [published online ahead of print March 9, 2006]. J Clin Invest
PubMed
Pratico D, Lawson JA, Rokach J, FitzGerald GA. The isoprostanes in biology and medicine.  Trends Endocrinol Metab. 2001;12243-247
PubMed
Dogne JM, Hanson J, Pratico D. Thromboxane, prostacyclin and isoprostanes: therapeutic targets in atherogenesis.  Trends Pharmacol Sci. 2005;26639-644
PubMed
Service FJ, Molnar GD, Rosevear JW.  et al.  Mean amplitude of glycemic excursions, a measure of glycemic instability.  Diabetes. 1970;19644-655
PubMed
Devaraj S, Hirany SV, Burk RF, Jialal I. Divergence between LDL oxidative susceptibility and urinary F(2)-isoprostanes as measures of oxidative stress in type 2 diabetes.  Clin Chem. 2001;471974-1979
PubMed
Heine RJ, Balkan B, Ceriello A.  et al.  What does postprandial hyperglycaemia mean?  Diabet Med. 2004;21208-213
PubMed
Kobayashi T, Tahara Y, Matsumoto M.  et al.  Roles of thromboxane A2 and prostacyclin in the development of atherosclerosis in apoE-deficient mice.  J Clin Invest. 2004;114784-794
PubMed
The Diabetes Control and Complications Trial Research Group.  The relationship of glycemic exposure (HbA1c) to the risk of development and progression of retinopathy in the Diabetes Control and Complications Trial.  Diabetes. 1995;44968-983
PubMed
Hirsch IB. Blood glucose monitoring technology: translating data into practice.  Endocr Pract. 2004;1067-76
PubMed

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Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Steinbrook R. Facing the diabetes epidemic–mandatory reporting of glycosylated hemoglobin values in New York City.  N Engl J Med. 2006;354545-548
PubMed
Narayan KM, Boyle JP, Thompson TJ.  et al.  Lifetime risk for diabetes mellitus in the United States.  JAMA. 2003;2901884-1890
PubMed
The Diabetes Control and Complications Trial Research Group.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.  N Engl J Med. 1993;329977-986
PubMed
UK Prospective Diabetes Study (UKPDS) Group.  Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes.  Lancet. 1998;352837-853
PubMed
American Diabetes Association.  Standards of medical care in diabetes.  Diabetes Care. 2005;28(suppl 1)  S4-S36
PubMed
Saydah SH, Fradkin J, Cowie CC. Poor control of risk factors for vascular disease among adults with previously diagnosed diabetes.  JAMA. 2004;291335-342
PubMed
 American College of Endocrinology Consensus Statement on Guidelines for Glycemic Control.  Endocr Pract. 2002;8(suppl 1)  5-11
PubMed
Saudek CD, Derr RL, Kalyani RR. Assessing glycemia in diabetes using self-monitoring blood glucose and hemoglobin A1c JAMA. 2006;2951688-1697
Sarol JN Jr, Nicodemus NA Jr, Tan KM, Grava MB. Self-monitoring of blood glucose as part of a multi-component therapy among non-insulin requiring type 2 diabetes patients: a meta-analysis (1966-2004).  Curr Med Res Opin. 2005;21173-184
PubMed
Monnier L, Mas E, Ginet C.  et al.  Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes.  JAMA. 2006;2951681-1687
Brownlee M. Biochemistry and molecular cell biology of diabetic complications.  Nature. 2001;414813-820
PubMed
Brownlee M. The pathobiology of diabetic complications: a unifying mechanism.  Diabetes. 2005;541615-1625
PubMed
Du XD, Edelstein D, Obici S, Higham N, Zou MH, Brownlee M. Insulin resistance reduces arterial prostacyclin synthase and eNOS activities by increasing endothelial fatty acid oxidation [published online ahead of print March 9, 2006]. J Clin Invest
PubMed
Pratico D, Lawson JA, Rokach J, FitzGerald GA. The isoprostanes in biology and medicine.  Trends Endocrinol Metab. 2001;12243-247
PubMed
Dogne JM, Hanson J, Pratico D. Thromboxane, prostacyclin and isoprostanes: therapeutic targets in atherogenesis.  Trends Pharmacol Sci. 2005;26639-644
PubMed
Service FJ, Molnar GD, Rosevear JW.  et al.  Mean amplitude of glycemic excursions, a measure of glycemic instability.  Diabetes. 1970;19644-655
PubMed
Devaraj S, Hirany SV, Burk RF, Jialal I. Divergence between LDL oxidative susceptibility and urinary F(2)-isoprostanes as measures of oxidative stress in type 2 diabetes.  Clin Chem. 2001;471974-1979
PubMed
Heine RJ, Balkan B, Ceriello A.  et al.  What does postprandial hyperglycaemia mean?  Diabet Med. 2004;21208-213
PubMed
Kobayashi T, Tahara Y, Matsumoto M.  et al.  Roles of thromboxane A2 and prostacyclin in the development of atherosclerosis in apoE-deficient mice.  J Clin Invest. 2004;114784-794
PubMed
The Diabetes Control and Complications Trial Research Group.  The relationship of glycemic exposure (HbA1c) to the risk of development and progression of retinopathy in the Diabetes Control and Complications Trial.  Diabetes. 1995;44968-983
PubMed
Hirsch IB. Blood glucose monitoring technology: translating data into practice.  Endocr Pract. 2004;1067-76
PubMed
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