Biological Variation in HbA1c Predicts Risk of Retinopathy and Nephropathy in Type 1 Diabetes
Response to Genuth, Lachin, and Nathan
- Stuart A. Chalew, MD123,
- James M. Hempe, PHD23 and
- Robert J. McCarter, DSC4
- 1Department of Endocrinology, Children’s Hospital, New Orleans, Louisiana
- 2Department of Pediatrics, Louisiana State University Health Sciences Center, New Orleans, Louisiana
- 3Research Institute for Children, New Orleans, Louisiana
- 4Department of Biostatistics and Informatics, Children’s Research Institute, the Children’s National Medical Center, Washington, D.C
- Address correspondence to Stuart A. Chalew, MD, Children’s Hospital, Department of Endocrinology, 200 Henry Clay Ave, New Orleans, LA 70118. E-mail: schale{at}lsuhsc.edu
Genuth, Lachin, and Nathan (1) pose several questions regarding the methodology and conclusions of our recent report (2). We are responding in order to clarify the validity of our approach, results, and conclusions regarding the important relationship between biological variation (BV) in HbA1c and mean blood glucose (MBG) and the development of microvascular complications of diabetes.
A key consideration in our hypothesis is the existence of consistent between-patient directional differences over time in HbA1c not accounted for by the associated MBG levels (2). BV in biochemical metabolites is a well-recognized phenomenon in clinical chemistry (3). BV in HbA1c levels has been reported in individuals without diabetes (4), where MBG has little impact on HbA1c levels. In patients with diabetes, the strong correlation between HbA1c and MBG must be taken into account when assessing the impact of BV on HbA1c levels. The hemoglobin glycation index (HGI) was devised for this purpose (2,5). We have used the HGI to demonstrate the presence of directional BV in HbA1c in longitudinal data from patients with diabetes in our own clinic population (5) as well as participants in the Diabetes Control and Complications Trial (DCCT) (2). In repeated measures obtained over the course of both studies, we found that large numbers of patients had consistently nonrandom, large positive or negative deviations (high or low HGIs, respectively) of their observed HbA1c …














