Establishment of normal reference ranges for glycemic variability in Chinese subjects using continuous glucose monitoring

Case Reports and Clinical Practice Review

Volumn 17, Issue 1, 2011, Pages

  Zhou, Jian ^a   Li, Hong ^b   Ran, Xingwu ^c   Yang, Wenying ^d   Li, Qiang ^e   Peng, Yongde ^f   Li, Yanbing ^g   Gao, Xin ^h   Luan, Xiaojun ⁱ   Wang, Weiqing ^j   Jia, Weiping ^a  

^a SHANGHAI JIAO TONG UNIVERSITY AFFILIATED SIXTH PEOPLE S HOSPITAL   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c SICHUAN UNIVERSITY   (China)

^d CHINA JAPAN FRIENDSHIP HOSPITAL   (China)

^e HARBIN MEDICAL UNIVERSITY   (China)

^f SHANGHAI FIRST PEOPLE S HOSPITAL   (China)

^g THE FIRST AFFILIATED HOSPITAL OF SUN YAT SEN UNIVERSITY   (China)

^h ZHONGSHAN HOSPITAL OF FUDAN UNIVERSITY   (China)

ⁱ THE FIRST PEOPLE S HOSPITAL OF FOSHAN   (China)

^j SHANGHAI JIAO TONG UNIVERSITY SCHOOL OF MEDICINE   (China)

more..

Author keywords

Continuous glucose monitoring; Glycemic variability; Reference ranges

Indexed keywords

HEMOGLOBIN A1C;

ADULT; AGED; ALANINE AMINOTRANSFERASE BLOOD LEVEL; ARTICLE; ASPARTATE AMINOTRANSFERASE BLOOD LEVEL; BILIRUBIN BLOOD LEVEL; BLOOD GLUCOSE MONITORING; CHINESE; CONTROLLED STUDY; CREATININE BLOOD LEVEL; DIASTOLIC BLOOD PRESSURE; FEMALE; GLUCOSE BLOOD LEVEL; GLUCOSE METABOLISM; GLYCEMIC INDEX; HEMOGLOBIN BLOOD LEVEL; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; REFERENCE VALUE; REPRODUCIBILITY; SYSTOLIC BLOOD PRESSURE; AGE; ASIAN; METHODOLOGY; MIDDLE AGED; MONITORING; NON INSULIN DEPENDENT DIABETES MELLITUS; SEX DIFFERENCE;

ADULT; AGE FACTORS; AGED; ASIAN CONTINENTAL ANCESTRY GROUP; BLOOD GLUCOSE; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; MALE; MIDDLE AGED; MONITORING, PHYSIOLOGIC; REFERENCE VALUES; SEX FACTORS;

EID: 78751501218     PISSN: 15076164     EISSN: 16433742     Source Type: Journal    
DOI: None     Document Type: Article

References (24)

1. Muggeo M, Zoppini G, Bonora E et al: Fasting plasma glucose variability predicts 10-year survival of type 2 diabetic patients: the Verona Diabetes Study. Diabetes Care,2000; 23: 45-50
2. Monnier L, Colette C: Glycemic Variability: Should we and can we prevent it? Diabetes Care, 2008; 31: S150-54
3. Ceriello A, Esposito K, Piconi L et al: Oscillating glucose is more deleterious to endothelial function and oxidative stress than mean glucose in normal and type 2 diabetic patients. Diabetes, 2008; 57: 1349-54
4. Pflueger A, Abramowitz D, Calvin AD: Role of oxidative stress in contrast- induced acute kidney injury in diabetes mellitus. Med Sci Monit, 2009; 15(6): RA125-36
5. Gordon L, Morrison EY, McGrowder DA et al: Changes in clinical and metabolic parameters after exercise therapy in patients with type 2 diabetes. Arch Med Sci, 2008; 4: 427-37
6. Wiersma JJ, Meuwese MC, van-Miert JN et al: Diabetes mellitus type 2 is associated with higher levels of myeloperoxidase. Med Sci Monit, 2008; 14(8): CR406-10
7. Kilpatrick ES, Rigby AS, Atkin SL: Effect of glucose variability on the long-term risk of microvascular complications in type 1 diabetes. Diabetes Care, 2009; 32: 1901-3
8. Hirsch IB, Brownlee M: Should minimal blood glucose variability become the gold standard of glycemic control? J Diabetes Complications, 2005; 19: 178-81
9. Brownlee M, Hirsch IB: Glycemic variability: a hemoglobin A1cindependent risk factor for diabetic complications. JAMA, 2006; 295: 1707-8
10. Monnier L, Colette C, Boegner C et al: Continuous glucose monitoring in patients with type 2 diabetes: Why? When? Whom? Diabetes Metab, 2007; 33: 247-52
11. Monnier L, Colette C, Owens DR: Integrating glycaemic variability in the glycaemic disorders of type 2 diabetes: a move towards a unified glucose tetrad concept. Diabetes Metab Res Rev, 2009; 25: 393-402
12. Zhou J, Li H, Ran X et al: Reference values for continuous glucose monitoring in Chinese subjects. Diabetes Care, 2009; 32: 1188-93
13. Service FJ, Molnar GD, Rosevear JW et al: Mean amplitude of glycemic excursions, a measure of diabetic instability. Diabetes, 1970; 19: 644-55
14. Fiallo-Scharer R, -Diabetes RiCNSG: Eight-point glucose testing versus the continuous glucose monitoring system in evaluation of glycemic control in type 1 diabetes. J Clin Endocrinol Metab, 2005; 90: 3387-91
15. Hirsch IB, Armstrong D, Bergenstal RM et al: Clinical application of emerging sensor technologies in diabetes management: consensus guidelines for continuous glucose monitoring (CGM). Diabetes Technol Ther, 2008; 10: 232-44
16. Kovatchev BP, Otto E, Cox D et al: Evaluation of a new measure of blood glucose variability in diabetes. Diabetes Care, 2006; 29: 2433-38
17. McDonnell CM, Donath SM, Vidmar SI et al: A novel approach to continuous glucose analysis utilizing glycemic variation. Diabetes Technol Ther, 2005; 7: 253-63
18. Rodbard D: Interpretation of continuous glucose monitoring data: glycemic variability and quality of glycemic control. Diabetes Technol Ther, 2009; 11(Suppl.1): S55-67
19. Egi M, Bellomo R, Stachowski E et al: Variability of blood glucose concentration and short-term mortality in critically ill patients. Anesthesiology, 2006; 105: 244-52
20. Hirsch IB: Glycemic variability: it's not just about A1C anymore! Diabetes Technol Ther, 2005; 7: 780-83
21. Zhou J, Jia W, Bao Y et al: Glycemic variability and its responses to intensive insulin treatment in newly diagnosed type 2 diabetes. Med Sci Monit, 2008; 14(11): CR552-58
22. Kohnert KD, Augstein P, Zander E et al: Glycemic variability correlates strongly with postprandial beta-cell dysfunction in a segment of type 2 diabetic patients using oral hypoglycemic agents. Diabetes Care, 2009; 32: 1058-62
23. Szoke E, Shrayyef MZ, Messing S et al: Effect of aging on glucose homeostasis: accelerated deterioration of beta-cell function in individuals with impaired glucose tolerance. Diabetes Care, 2008; 31: 539-43
24. Monnier L, Mas E, Ginet C et al: Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. JAMA, 2006; 295: 1681-87