Shigeru Suzuki1, Masafumi Koga2, Noriyasu Niizeki3, Akiko Furuya4, Kumihiro Matsuo4, Yusuke Tanahashi4, Hiroshi Azuma4. 1. Department of Pediatrics, Asahikawa Medical University, Japan shige5p@asahikawa-med.ac.jp. 2. Department of Internal Medicine, Kawanishi City Hospital, Japan. 3. Department of Medical Laboratory and Blood Center, Asahikawa Medical University Hospital, Japan. 4. Department of Pediatrics, Asahikawa Medical University, Japan.
Abstract
BACKGROUND: We previously reported that glycated albumin (GA) levels increased in an age-dependent manner in infancy. In order to determine whether this phenomenon is true from infancy to adulthood, we investigated the GA levels in non-diabetic subjects of a wide range of age. METHODS: GA levels of 376 non-diabetic subjects [average age, 31.8 ± 23.8 years (4 days-78 years)] were determined. A relationship between GA and logarithmically transformed age [log(age)] was analysed. RESULTS: GA levels were significantly positively correlated with log(age) [R = 0.865, P < 0.0001, GA = 1.77 × log(day) + 6.55]. Based on a regression line, we established the formula for adjusting GA levels according to age. CONCLUSION: We showed that GA increases with age from infancy to adulthood and that normal GA levels are demonstrated as a simple regression formula with log(age). This formula allowing us to use the adult reference range has the potential for treatment monitoring of diabetic patients regardless of age.
BACKGROUND: We previously reported that glycated albumin (GA) levels increased in an age-dependent manner in infancy. In order to determine whether this phenomenon is true from infancy to adulthood, we investigated the GA levels in non-diabetic subjects of a wide range of age. METHODS: GA levels of 376 non-diabetic subjects [average age, 31.8 ± 23.8 years (4 days-78 years)] were determined. A relationship between GA and logarithmically transformed age [log(age)] was analysed. RESULTS: GA levels were significantly positively correlated with log(age) [R = 0.865, P < 0.0001, GA = 1.77 × log(day) + 6.55]. Based on a regression line, we established the formula for adjusting GA levels according to age. CONCLUSION: We showed that GA increases with age from infancy to adulthood and that normal GA levels are demonstrated as a simple regression formula with log(age). This formula allowing us to use the adult reference range has the potential for treatment monitoring of diabeticpatients regardless of age.
Authors: Christine L Chan; Laura Pyle; Megan M Kelsey; Lindsey Newnes; Amy Baumgartner; Philip S Zeitler; Kristen J Nadeau Journal: Pediatr Diabetes Date: 2016-11-22 Impact factor: 4.866