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Journal of Diabetes Science and Technology logoLink to Journal of Diabetes Science and Technology
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. 2009 Sep;3(5):1227–1228. doi: 10.1177/193229680900300532

Assessment of Glycemic Variability in Continuous Subcutaneous Insulin Infusion Therapy in Type 1 Diabetes Related to Anthropometry and Complication Status

Sarah K Mehdi 1, Emma Hatfield 2, Anne Dornhorst 2, Nick S Oliver 2
PMCID: PMC2769901  PMID: 20144442

Introduction

We present an observational study assessing the relationship between glycemic variability (GV) and anthropometry (age, sex, body mass index [BMI]), microvascular complication status, and duration of diabetes in type 1 diabetes mellitus (T1DM) subjects treated with continuous subcutaneous insulin infusion (CSII) or multiple dose injection (MDI) therapy. Intraday GV was measured by standard deviation of glucose, mean amplitude of glycemic excursion (MAGE), M value, and J index, and interday variability was measured by the mean of daily differences (MODD).

Thirty-five subjects (19 on MDI and 16 on CSII therapy) were recruited, and the treatment groups were not significantly different. Glucose was monitored for a 48 h period for each subject using a Medtronic Gold continuous glucose monitoring system.

Overall glycemia, as measured by mean blood glucose (MBG) and hemoglobin A1c (HbA1c), was significantly lower (1.6 mmol/liter and 0.9%, respectively) in the CSII group than the MDI group (Table 1). Statistically significantly greater GV was found in the MDI group than in the CSII group (Table 1). This finding of lower GV in subjects with T1DM on CSII therapy is significant, as few studies have investigated this previously.1 No significant difference in MBG and the degree of GV was found between males and females on both MDI and CSII therapy.

Table 1.

Results Comparing Glycemia and Glycemic Variability between Subjects on Multiple Dose Injection and Those on Continuous Subcutaneous Insulin Infusion

MDI mean (standard deviation) n = 19 CSII mean (standard deviation) n = 16 p value
MBG 10.0 (2.00) 8.4 (1.5) 0.012a
HbA1c 8.7 (1.4) 7.8 (0.9) 0.027a
Standard deviation 3.8 (1.3) 2.8 (0.7) 0.008a
MAGE 7.5 (2.7) 5.0 (1.6) 0.003a
M value 14.0 (15.1) 4.8 (7.3) 0.031a
J index 64.9 (28.2) 44.2 (14.0) 0.013a
MODD 2.4 (3.1) 0.09 (1.9) 0.018a
a

Indicates statistical significance at p < 0.05

A statistically significant positive correlation was found between MAGE and HbA1c in all subjects, M value and HbA1c in all subjects, MAGE and HbA1c in the MDI group, and M value and HbA1c in the MDI group. This finding implies that HbA1c can be used to an extent to predict GV, especially in subjects treated with MDI.

A statistically significant positive correlation was found between MAGE and age in all subjects and M value and age in all subjects. No significant correlation was found between MAGE or M value and BMI or duration of diabetes.

A statistically significantly negative correlation was found between MAGE and estimated glomerular filtration rate (eGFR) in all subjects, the M value and eGFR in all subjects, and the M value and eGFR in the MDI group. The M value was found to be statistically significantly positively correlated with urine microalbumin:creatinine ratio in all subjects. No other significant correlations were found. These correlations may indicate that a higher degree of GV may be associated with, or contribute to, compromised renal function. This supports the hypothesis that GV may play a role in the development of microvascular complications in diabetes.2,3 However, this is potentially confounded by the correlation of GV with HbA1c, itself an independent predictor of microvascular complications. No relationship between retinopathy stage and MAGE was found.

Further investigation is required in order to determine the clinical relevance of the difference in GV between the different treatment groups. Increased GV is associated with the overproduction of reactive oxygen species and may play a role in glucose-mediated endothelial damage and the development of vascular complications.3 The findings from this study of an association between markers of nephropathy and GV may support the hypothesis of the involvement of GV in the development of microvascular complications in diabetes.

Acknowledgments

The authors acknowledge Professor D. Johnston, Dr. J. Valabhji, Dr. D. Gable, Clare Poulter, Sarah Allen, and Nicola Bandaranayake.

Abbreviations

BMI

body mass index

CSII

continuous subcutaneous insulin infusion

eGFR

estimated glomerular filtration rate

GV

glycemic variability

HbA1c

hemoglobin A1c

MAGE

mean amplitude of glycemic excursion

MBG

mean blood glucose

MDI

multiple dose injection

MODD

mean of daily differences

T1DM

type 1 diabetes mellitus

References

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