Literature DB >> 18822932

Do high blood glucose peaks contribute to higher HbA1c? Results from repeated continuous glucose measurements in children.

Samuelsson Ulf1, Hanas Ragnar, Whiss Per Arne, Ludvigsson Johnny.   

Abstract

BACKGROUND: HbA1c levels are influenced by the glycemic control of previous 2-3 months. Sometimes patients have surprisingly low HbA1c in spite of many correctly measured high blood glucose values, which is difficult to explain. As glucose sensors give an objective picture based on glucose readings several times per minute over 24 hours, we used the area under the curve (AUC) of such subcutaneous glucose profiles to evaluate their relationship with HbA1c.
METHODS: Thirty-two patients were randomized into two study arms, one open and the other blinded. Both arms had 8 pump users and 8 patients with multiple daily injections (MDI). After three months the two arms crossed over. Both study arms wore a continuous glucose monitoring system (CGMS) for 3 days every 2 weeks. HbA1c was determined before and after each 3-month study period.
RESULTS: There was no relationship between HbA1c and s.c. glucose AUC or between HbA1c and the number of peaks >15.0 mmol/L when all CGMS profiles during the 6 months were taken together. Children on MDI showed a positive relationship between HbA1c and AUC (P<0.01) as well as the number of peaks (P<0.01). Children with a negative relationship between HbA1c and AUC generally had fewer fluctuations in blood glucose values, whereas children with a positive relationship had wide fluctuations. between s.c. glucose AUC and HbA1c, the results indicate that wide blood glucose fluctuations may be related to high HbA1c values. Therefore, complications and therapeutic interventions should aim at reducing such fluctuations.
CONCLUSIONS: Although there was no relationship between s.c. glucose AUC and HbA1c, the results indicate that wide blood glucose fluctuations may be related to high HbA1c values. Therefore, complications and therapeutic interventions should aim at reducing such fluctuations.

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Year:  2008        PMID: 18822932     DOI: 10.1007/s12519-008-0040-8

Source DB:  PubMed          Journal:  World J Pediatr            Impact factor:   2.764


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