The relationship between 24-hour integrated glucose concentrations and % glycohemoglobin

Red cell distribution width, haemoglobin A1c and incidence of diabetes mellitus

OBJECTIVE

Hyperglycaemia has multiple effects on the red blood cell (RBC), including glycation of haemoglobin, reduced deformability and reduced lifespan. Red cell distribution width (RDW) is a measure of the heterogeneity of erythrocyte volumes. The aim of this study was to explore the relationships between RDW and glucose, haemoglobin A1c (HbA1c) and incidence of diabetes mellitus (DM).

DESIGN, SETTING AND SUBJECTS

RDW and mean corpuscular volume were measured in 26 709 non-diabetic participants (aged 45-73 years) from the population-based Malmö Diet and Cancer cohort. HbA1c and fasting venous blood glucose levels were measured in 4845 subjects.

MAIN OUTCOME MEASURE

Incidence of DM (n = 2944) over 14 years of follow-up was studied by linkage with national and local DM registers.

RESULTS

Individuals with low RDW had significantly higher risk of developing DM [adjusted hazard ratio (HR) 1.48, 95% confidence interval (CI) 1.29-1.70, for 1st vs. 4th quartile], especially in subjects with impaired fasting glucose (n = 416) (HR 2.15, 95% CI 1.12-4.14). Low RDW was also associated with significantly higher waist circumference and glucose, insulin and triglyceride concentrations. By contrast, RDW was significantly and positively associated with HbA1c, corresponding an increase in HbA1c of 0.10% per 1 SD increase in RDW.

CONCLUSION

Low RDW is associated with increased incidence of DM independently of other risk factors. We propose that low RDW could be a surrogate marker of reduced RBC survival, with lower HbA1c due to shorter duration of glucose exposure. RDW is a biomarker that could improve risk assessment for individuals at risk of developing DM.

Interindividual divergence in the relationship between the values of plasma glucose and hemoglobin A1c in type 2 diabetes

OBJECTIVE

To verify the relationships between the values of plasma glucose (PG) and hemoglobin A(1c)(HbA(1c)) in type 2 diabetic outpatients.

METHODS

The pre- and postbreakfast PG and HbA(1c) values were monitored every month for 44-90 months. The single regression lines between the values of PG and HbA(1c) were compared for the slopes and intercepts on the designated ordinates of the regression lines.

PATIENTS OR MATERIALS

Nine patients of type 2 diabetes not treated with insulin: three males and six females, aged 43-79 years participated.

RESULTS

The HbA(1c) level was combined with the pre- and postbreakfast PG values obtained at one month prior to its determination, because the combinations were correlated most strongly. The slopes of the regression line ranged from 0.33-0.50%/mmol/L and the intercepts at PG level equal to 9.6 mmol/L ranged from 6.95-9.77% in the relationship between the values of 1-month earlier prebreakfast PG and HbA(1c). Twenty-eight pairs had significantly different intercepts. Meanwhile, there was no pair that had significantly different slopes. Similar results were obtained in the relationship between the values of 1-month earlier postbreakfast PG and HbA(1c).

CONCLUSION

There was interindividual divergence of the regression lines which was due to the difference in the intercepts but not the slopes.

Red cell life span heterogeneity in hematologically normal people is sufficient to alter HbA1c

Although red blood cell (RBC) life span is a known determinant of percentage hemoglobin A1c (HbA1c), its variation has been considered insufficient to affect clinical decisions in hematologically normal persons. However, an unexplained discordance between HbA1c and other measures of glycemic control can be observed that could be, in part, the result of differences in RBC life span. To explore the hypothesis that variation in RBC life span could alter measured HbA1c sufficiently to explain some of this discordance, we determined RBC life span using a biotin label in 6 people with diabetes and 6 nondiabetic controls. Mean RBC age was calculated from the RBC survival curve for all circulating RBCs and for labeled RBCs at multiple time points as they aged. In addition, HbA1c in magnetically isolated labeled RBCs and in isolated transferrin receptor-positivereticulocytes was used to determine the in vivo synthetic rate of HbA1c. The mean age of circulating RBCs ranged from 39 to 56 days in diabetic subjects and 38 to 60 days in nondiabetic controls. HbA1c synthesis was linear and correlated with mean whole blood HbA1c (R(2) = 0.91). The observed variation in RBC survival was large enough to cause clinically important differences in HbA1c for a given mean blood glucose.

Frequency of HbA1c discordance in estimating blood glucose control

PURPOSE OF REVIEW

HbA1c is a trusted standard for monitoring glycemic control and predicting complications. However, there are emerging issues complicating the interpretation of HbA1c that the clinician caring for patients with diabetes needs to consider.

RECENT FINDINGS

There is increasing evidence of the potential for mismatches between HbA1c and other measures of glycemia which require some caution in HbA1c interpretation. We have attempted to characterize the nature of these discordances by developing the concept of the 'glycation gap' in which differences in protein glycation occurring in the intracellular space (HbA1c) versus in the extracellular space (measured as fructosamine) are compared. We have evidence that HbA1c results discordant from other measures of glycemic control may be secondary to previously unappreciated physiological variables, including erythrocyte lifespan, in hematologically normal individuals. We relate these findings to a number of HbA1c interpretation issues important for diabetes care: factors affecting hemoglobin glycation, relationship of HbA1c to glycemia, standardization of the HbA1c assay, and HbA1c relation to complications.

SUMMARY

There are an increasing number of clinical circumstances in which there are nuances to HbA1c interpretation such that standard norms for assessment of glycemic control or complication risk may need to be modified.

Continuous subcutaneous glucose monitoring shows a close correlation between mean glucose and time spent in hyperglycemia and hemoglobin A1c

BACKGROUND

The Diabetes Control and Complications Trial and United Kingdom Prospective Diabetes Study highlighted hemoglobin A1c (HbA1c) as the main predictor of diabetic complications. Currently, diabetes is managed by frequent capillary spot glucose measurements, but continuous monitoring systems may have the capacity of improving diabetic control. The SCGM 1 system is microdialysis based and allows for monitoring of changes in interstitial fluid glucose levels every minute. The aim of this study was to evaluate the correlation between HbA1c and short-term glucose excursions in patients with type 1 diabetes.

MATERIAL AND METHODS

We investigated 91 patients with type 1 diabetes (mean +/- standard deviation (SD); age 34 +/- 10 years, body mass index 24.2 +/- 4.1 kg/m2) with a duration of diabetes of 17 +/- 11 years for 4.8 +/- 0.4 days. The average HbA1c was 7.9 +/- 1.4%. From the monitoring profiles we determined individual mean glucose, the SD of glucose, and the relative time spent in hyperglycemia and hypoglycemia calculated as the area under the curve (AUC) with arbitrary cutoffs of 180 and 70 mg/dl, respectively.

RESULTS

Mean glucose, SD glucose, and hyperglycemic and hypoglycemic AUC all correlated with HbA1c, but with decreasing statistical power. In multiple linear regression analysis, mean glucose was the sole independent variable (r = 0.626, p < 0.0001). A close correlation between HbA1c and various measures of short-term hyperglycemic values was observed. There was a close correlation between mean glucose and SD glucose, pointing toward increased variability with increasing mean glucose.

CONCLUSIONS

Mean glucose generated after short-term continuous monitoring is the main predictor of HbA1c and reveals increased lability of glucose with increasing mean glucose and HbA1c.

Relationship between glycated haemoglobin levels and mean glucose levels over time

AIMS/HYPOTHESIS

HbA(1c), expressed as the percentage of adult haemoglobin that is glycated, is the most widely used measure of chronic glycaemia. Achieving near-normal HbA(1c) levels has been shown to reduce long-term complications and the HbA(1c) assay is recommended to determine whether treatment is adequate and to guide adjustments. However, daily adjustments of therapy are guided by capillary glucose levels (mmol/l). We determined the relationship between an accurate measure of mean glucose levels over time and the HbA(1c) level, and whether HbA(1c) can be expressed in the same units as self-monitoring results.

METHODS

Twenty-two participants with diabetes and three non-diabetic participants were included in this longitudinal observational study. Mean glucose levels were measured by continuous glucose monitoring (CGM), which measures interstitial glucose levels every 5 min, for 12 weeks. Capillary measurements were obtained four times per day to confirm the accuracy of CGM. HbA(1c) was measured at baseline and every 4 weeks.

RESULTS

The HbA(1c) results at weeks 8 and 12 correlated strongly (r = 0.90) with the CGM results during the preceding 8 and 12 weeks. A curvilinear (exponential) relationship and a linear regression captured the relationship with similarly high correlations, which allowed transformation of HbA(1c) values to a calculated mean glucose level.

CONCLUSIONS AND INTERPRETATION

HbA(1c) correlates closely with a complete measure of average glycaemia over the preceding 8-12 weeks. The translation of HbA(1c) to an average glucose level for reporting and management purposes is feasible.

Hemoglobin A1c (HbA1c) predicts future drug treatment for diabetes mellitus: a follow-up study using routine clinical data in a Japanese university hospital

Hemoglobin A1c (HbA1c) has been widely used as a measure of glycemic control in patients with diabetes mellitus. However, the role of HbA1c in the prediabetic stage has received little attention, although the effectiveness of early intensive intervention for the prediabetic patients defined by plasma glucose is well documented. In this study, routine clinical data in a Japanese university hospital were used to address whether the level of HbA1c predicted drug treatment for diabetes mellitus. The study population consisted of 38,628 adolescent and adult patients (>or=15 years old) who used routine medical care services provided by the hospital and who were prescribed no anti-diabetic drugs in the 12 months before the 3-year study period. The rates of starting anti-diabetic drugs during the study period were calculated for subgroups divided by the level of HbA1c followed by Kaplan-Meier survival analysis and Cox proportional-hazard regression. In addition, the medical records of middle-aged patients with borderline (5.6-6.4%) and high (>or=6.5%) levels of HbA1c were examined to estimate the rates of initial drug treatment for type 2 diabetes mellitus. The rate (95% confidence interval; CI) of beginning anti-diabetic drug therapy was 1.5 (0.9-2.5)/1000 patient-years in patients with a normal level of HbA1c (<5.6%), which is similar to 2.1 (1.8-2.5)/1000 patient-years in patients with no HbA1c data, but lower than the value of 23.0 (18.6-28.6) and 161.8 (144.8-180.7)/1000 patient-years in those with borderline and high levels of HbA1c, respectively (P < 0.001). In a small group of 513 middle-aged patients, the rates of initial drug treatment for type 2 diabetes mellitus were 39.4 (28.1-55.1)/1000 patient-years and 270.4 (209.4-349.0)/1000 patient-years in those with borderline and high levels of HbA1c, respectively. A borderline (5.6-6.4%) or high (>or=6.5%) level of HbA1c was found to strongly predict future drug treatment for diabetes mellitus.

Upper gastrointestinal function and glycemic control in diabetes mellitus

Recent evidence has highlighted the impact of glycemic control on the incidence and progression of diabetic micro- and macrovascular complications, and on cardiovascular risk in the non-diabetic population. Postprandial blood glucose concentrations make a major contribution to overall glycemic control, and are determined in part by upper gastrointestinal function. Conversely, poor glycemic control has an acute, reversible effect on gastrointestinal motility. Insights into the mechanisms by which the gut contributes to glycemia have given rise to a number of novel dietary and pharmacological strategies designed to lower postprandial blood glucose concentrations.