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Indian J Med Sci ; 2009 Feb; 63(2): 66-71
Artigo em Inglês | IMSEAR | ID: sea-67328

RESUMO

BACKGROUND : Continuous glucose-monitoring system (CGMS) is a tool for assessment of glycemic excursions. Glucose variability is a risk factor independent of glycosylated hemoglobin (HbA1c) for diabetic complications; hence CGMS may be a better method for management of diabetes. AIM: To evaluate the extent of glycemic excursions in well-controlled type 2 diabetic patients. SETTING AND DESIGN :The study was carried out in 21 diabetic patients on oral agents. MATERIALS AND METHODS: Patients underwent continuous glucose-monitoring by CGMS for 3 days. Number and duration of glycemic excursions, correlation coefficient (%) between CGMS and self-monitoring blood glucose (SMBG), mean absolute difference (%MAD) and complications of CGMS were analyzed. STATISTICAL ANALYSES : The statistical analyses were performed with the use of mean +/- SD, t-test and Mann-Whitney test. RESULTS :The mean age of patients was 51.9 +/- 9.7 years. The mean HbA1c was 6.7 +/- 0.38%. The mean number of glycemic readings was 753.6 +/- 203.5 times. The correlation coefficient was 0.83 and the MAD was 11.7 +/- 8.0%, which were considerable. Three (14.2%) patients experienced, altogether, 9 hypoglycemic events with an average duration of 162 minutes. Twenty (94.7%) patients had hyperglycemic events. The mean duration of hyperglycemia was 19.4 +/- 12.8 hours. All events were asymptomatic. Disconnection of device was the most common complication (3 patients). CONCLUSION : This study demonstrated that well-controlled type 2 diabetic patients have a considerable number of hypoglycemia and hyperglycemia events that may be missed by SMBG.


Assuntos
Automonitorização da Glicemia/instrumentação , Diabetes Mellitus Tipo 2/epidemiologia , Feminino , Hemoglobinas Glicadas , Humanos , Hiperglicemia/epidemiologia , Hiperglicemia/prevenção & controle , Irã (Geográfico)/epidemiologia , Masculino , Pessoa de Meia-Idade , Monitorização Ambulatorial , Monitorização Fisiológica , Prevalência , Fatores de Risco , Estatística como Assunto
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