Open AccessContinuous glucose monitoring system and new era of early diagnosis of diabetes in high risk groups
Author(s) -
Ashraf T. Soliman,
Vincenzo Desanctis,
Mohamed A Yassin,
Rania Elalaily,
Nagwa Eldarsy
Publication year - 2014
Publication title -
indian journal of endocrinology and metabolism
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.456
H-Index - 28
eISSN - 2230-9500
pISSN - 2230-8210
DOI - 10.4103/2230-8210.131130
Subject(s) - medicine , prediabetes , continuous glucose monitoring , glycated hemoglobin , gestational diabetes , diabetes mellitus , glycemic , postprandial , intensive care medicine , type 2 diabetes , endocrinology , pregnancy , gestation , biology , genetics
Continuous glucose monitoring (CGM) systems are an emerging technology that allows frequent glucose measurements to monitor glucose trends in real time. Their use as a diagnostic tool is still developing and appears to be promising. Combining intermittent glucose self-monitoring (SGM) and CGM combines the benefits of both. Significant improvement in the treatment modalities that may prevent the progress of prediabetes to diabetes have been achieved recently and dictates screening of high risk patients for early diagnosis and management of glycemic abnormalities. The use of CGMS in the diagnosis of early dysglycemia (prediabetes) especially in high risk patients appears to be an attractive approach. In this review we searched the literature to investigate the value of using CGMS as a diagnostic tool compared to other known tools, namely oral glucose tolerance test (OGTT) and measurement of glycated hemoglobin (HbA1C) in high risk groups. Those categories of patients include adolescents and adults with obesity especially those with family history of type 2 diabetes mellitus, polycystic ovary syndrome (PCO), gestational diabetes, cystic fibrosis, thalassemia major, acute coronary syndrome (ACS), and after renal transplantation. It appears that the ability of the CGMS for frequently monitoring (every 5 min) glucose changes during real-life settings for 3 to 5 days stretches the chance to detect more glycemic abnormalities during basal and postprandial conditions compared to other short-timed methods.