메뉴 건너뛰기




Volumn 123, Issue 4, 2011, Pages 107-118

Clinical interpretation of indices of quality of glycemic control and glycemic variability

Author keywords

Continuous glucose monitoring; Diabetes mellitus; Glycemic control; Glycemic variability; Self monitoring of blood glucose

Indexed keywords

GLUCOSE; HEMOGLOBIN A1C; INSULIN;

EID: 79960293663     PISSN: 00325481     EISSN: 19419260     Source Type: Journal    
DOI: 10.3810/pgm.2011.07.2310     Document Type: Article
Times cited : (103)

References (42)
  • 1
  • 2
    • 27644546482 scopus 로고    scopus 로고
    • Glycemic variability: It's not just about A1C anymore!
    • Hirsch IB. Glycemic variability: it's not just about A1C anymore! Diabetes Technol Ther. 2005;7(5):780-783.
    • (2005) Diabetes Technol Ther , vol.7 , Issue.5 , pp. 780-783
    • Hirsch, I.B.1
  • 3
    • 33846022712 scopus 로고    scopus 로고
    • The effect of glucose variability on the risk of microvascular complications in type 1 diabetes
    • Hirsch IB, Brownlee M. The effect of glucose variability on the risk of microvascular complications in type 1 diabetes. Diabetes Care. 2007;30(1):186-187.
    • (2007) Diabetes Care , vol.30 , Issue.1 , pp. 186-187
    • Hirsch, I.B.1    Brownlee, M.2
  • 4
    • 33645732339 scopus 로고    scopus 로고
    • Glycemic variability: A hemoglobin A1cindependent risk factor for diabetic complications
    • Brownlee M, Hirsch IB. Glycemic variability: a hemoglobin A1cindependent risk factor for diabetic complications. JAMA. 2006;295(14):1707-1708.
    • (2006) JAMA , vol.295 , Issue.14 , pp. 1707-1708
    • Brownlee, M.1    Hirsch, I.B.2
  • 5
    • 18144415490 scopus 로고    scopus 로고
    • Should minimal blood glucose variability become the gold standard of glycemic control?
    • Hirsch IB, Brownlee M. Should minimal blood glucose variability become the gold standard of glycemic control? J Diabetes Complications. 2005;19(3):178-181.
    • (2005) J Diabetes Complications , vol.19 , Issue.3 , pp. 178-181
    • Hirsch, I.B.1    Brownlee, M.2
  • 6
    • 77953071526 scopus 로고    scopus 로고
    • Arguments for and against the role of glucose variability in the development of diabetes complications
    • Kilpatrick ES. Arguments for and against the role of glucose variability in the development of diabetes complications. J Diabetes Sci Technol. 2009;3(4):649-655.
    • (2009) J Diabetes Sci Technol , vol.3 , Issue.4 , pp. 649-655
    • Kilpatrick, E.S.1
  • 7
    • 70350751568 scopus 로고    scopus 로고
    • The assessment of glycemic variability and its impact on diabetes-related complications: An overview
    • Weber C, Schnell O. The assessment of glycemic variability and its impact on diabetes-related complications: an overview. Diabetes Technol Ther. 2009;11(10):623-633.
    • (2009) Diabetes Technol Ther , vol.11 , Issue.10 , pp. 623-633
    • Weber, C.1    Schnell, O.2
  • 8
    • 55349134410 scopus 로고    scopus 로고
    • Glycemic variability: A strong independent predictor of mortality in critically ill patients
    • Krinsley JS. Glycemic variability: a strong independent predictor of mortality in critically ill patients. Crit Care Med. 2008;36(11):3008-3013.
    • (2008) Crit Care Med , vol.36 , Issue.11 , pp. 3008-3013
    • Krinsley, J.S.1
  • 10
    • 70350769916 scopus 로고    scopus 로고
    • A randomized clinical trial comparing the effect of basal insulin and inhaled mealtime insulin on glucose variability and oxidative stress
    • Siegelaar SE, Kulik W, van Lenthe H, Mukherjee R, Hoekstra JB, Devries JH. A randomized clinical trial comparing the effect of basal insulin and inhaled mealtime insulin on glucose variability and oxidative stress. Diabetes Obes Metab. 2009;11(7):709-714.
    • (2009) Diabetes Obes Metab , vol.11 , Issue.7 , pp. 709-714
    • Siegelaar, S.E.1    Kulik, W.2    van Lenthe, H.3    Mukherjee, R.4    Hoekstra, J.B.5    Devries, J.H.6
  • 11
    • 69949164144 scopus 로고    scopus 로고
    • Glucose variability does not contribute to the development of peripheral and autonomic neuropathy in type 1 diabetes: Data from the DCCT
    • Siegelaar SE, Kilpatrick ES, Rigby AS, Atkin SL, Hoekstra JB, Devries JH. Glucose variability does not contribute to the development of peripheral and autonomic neuropathy in type 1 diabetes: data from the DCCT. Diabetologia. 2009;52(10):2229-2232.
    • (2009) Diabetologia , vol.52 , Issue.10 , pp. 2229-2232
    • Siegelaar, S.E.1    Kilpatrick, E.S.2    Rigby, A.S.3    Atkin, S.L.4    Hoekstra, J.B.5    Devries, J.H.6
  • 12
    • 33746460818 scopus 로고    scopus 로고
    • The effect of glucose variability on the risk of microvascular complications in type 1 diabetes
    • Kilpatrick ES, Rigby AS, Atkin SL. The effect of glucose variability on the risk of microvascular complications in type 1 diabetes. Diabetes Care. 2006;29:1486-1490.
    • (2006) Diabetes Care , vol.29 , pp. 1486-1490
    • Kilpatrick, E.S.1    Rigby, A.S.2    Atkin, S.L.3
  • 13
    • 70349653641 scopus 로고    scopus 로고
    • Effect of glucose variability on the long-term risk of microvascular complications in type 1 diabetes
    • 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(10):1901-1903.
    • (2009) Diabetes Care , vol.32 , Issue.10 , pp. 1901-1903
    • Kilpatrick, E.S.1    Rigby, A.S.2    Atkin, S.L.3
  • 14
    • 57049128707 scopus 로고    scopus 로고
    • Can glycaemic variability, as calculated from blood glucose selfmonitoring, predict the development of complications in type 1 diabetes over a decade?
    • Bragd J, Adamson U, Bäcklund LB, Lins PE, Moberg E, Oskarsson P. Can glycaemic variability, as calculated from blood glucose selfmonitoring, predict the development of complications in type 1 diabetes over a decade? Diabetes Metab. 2008;34(6 pt 1):612-616.
    • (2008) Diabetes Metab , vol.34 , Issue.6 PART 1 , pp. 612-616
    • Bragd, J.1    Adamson, U.2    Bäcklund, L.B.3    Lins, P.E.4    Moberg, E.5    Oskarsson, P.6
  • 15
    • 79953064502 scopus 로고    scopus 로고
    • Glycaemic variability and coronary artery calcium: The coronary artery calcification in type 1 diabetes study
    • Snell-Bergeon JK, Roman R, Rodbard D, et al. Glycaemic variability and coronary artery calcium: the coronary artery calcification in type 1 diabetes study. Diabetic Medicine. 2010;27(12):1436-1442.
    • (2010) Diabetic Medicine , vol.27 , Issue.12 , pp. 1436-1442
    • Snell-Bergeon, J.K.1    Roman, R.2    Rodbard, D.3
  • 16
    • 79960293195 scopus 로고    scopus 로고
    • Predicting the risk of hypo-and hyperglycemia by time of day, date, and day of the week-new methods for calculation and graphical display. [Abstract 491-P]
    • Rodbard D. Predicting the risk of hypo-and hyperglycemia by time of day, date, and day of the week-new methods for calculation and graphical display. [Abstract 491-P]. Diabetes. 2010;59(suppl 1):A132.
    • (2010) Diabetes , vol.59 , Issue.SUPPL 1
    • Rodbard, D.1
  • 17
    • 70349343578 scopus 로고    scopus 로고
    • Optimizing display, analysis, interpretation and utility of self-monitoring of blood glucose (SMBG) data for management of patients with diabetes
    • Rodbard D. Optimizing display, analysis, interpretation and utility of self-monitoring of blood glucose (SMBG) data for management of patients with diabetes. J Diabetes Sci Technol. 2007;1(1):62-71.
    • (2007) J Diabetes Sci Technol , vol.1 , Issue.1 , pp. 62-71
    • Rodbard, D.1
  • 18
    • 70349249912 scopus 로고    scopus 로고
    • Interpretation of continuous glucose monitoring data: Glycemic variability, and quality of control
    • Rodbard D. Interpretation of continuous glucose monitoring data: glycemic variability, and quality of control. Diabetes Technol Ther. 2009;11(suppl 1):S55-S67.
    • (2009) Diabetes Technol Ther , vol.11 , Issue.SUPPL 1
    • Rodbard, D.1
  • 19
    • 70349314777 scopus 로고    scopus 로고
    • New and improved methods to characterize glycemic variability using continuous glucose monitoring
    • Supplement appendix:, Accessed May 31, 2011
    • Rodbard D. New and improved methods to characterize glycemic variability using continuous glucose monitoring. Diabetes Technol Ther. 2009;11(9):551-565. Supplement appendix: http://www.liebertonline.com/doi/suppl/10.1089/dia.2009.0015. Accessed May 31, 2011.
    • (2009) Diabetes Technol Ther , vol.11 , Issue.9 , pp. 551-565
    • Rodbard, D.1
  • 20
    • 0031755304 scopus 로고    scopus 로고
    • Assessment of risk for severe hypoglycemia among adults with IDDM: Validation of the low blood glucose index
    • Kovatchev BP, Cox DJ, Gonder-Frederick LA, Young-Hyman D, Schlundt D, Clarke W. Assessment of risk for severe hypoglycemia among adults with IDDM: validation of the low blood glucose index. Diabetes Care. 1998;21(11):1870-1875.
    • (1998) Diabetes Care , vol.21 , Issue.11 , pp. 1870-1875
    • Kovatchev, B.P.1    Cox, D.J.2    Gonder-Frederick, L.A.3    Young-Hyman, D.4    Schlundt, D.5    Clarke, W.6
  • 21
    • 33845484053 scopus 로고    scopus 로고
    • Evaluation of a new measure of blood glucose variability in diabetes. (ADRR)
    • Kovatchev BP, Otto E, Cox D, Gonder-Frederick L, Clarke W. Evaluation of a new measure of blood glucose variability in diabetes. (ADRR). Diabetes Care. 2006;29(11):2433-2438.
    • (2006) Diabetes Care , vol.29 , Issue.11 , pp. 2433-2438
    • Kovatchev, B.P.1    Otto, E.2    Cox, D.3    Gonder-Frederick, L.4    Clarke, W.5
  • 22
    • 70349240850 scopus 로고    scopus 로고
    • Statistical tools to analyze continuous glucose monitor data
    • Clarke W, Kovatchev B. Statistical tools to analyze continuous glucose monitor data. Diabetes Technol Ther. 2009;11(suppl 1):S45-S54
    • (2009) Diabetes Technol Ther , vol.11 , Issue.SUPPL 1
    • Clarke, W.1    Kovatchev, B.2
  • 26
    • 0018848773 scopus 로고
    • Characteristics of glycemic stability
    • Service FJ, Nelson RL. Characteristics of glycemic stability. Diabetes Care. 1980;3(1):58-62.
    • (1980) Diabetes Care , vol.3 , Issue.1 , pp. 58-62
    • Service, F.J.1    Nelson, R.L.2
  • 28
    • 0002793817 scopus 로고
    • The M-value, an index of bloodsugar control in diabetics
    • Schlichtkrull J, Munck O, Jersild M. The M-value, an index of bloodsugar control in diabetics. Acta Med Scand. 1965:177:95-102.
    • (1965) Acta Med Scand , vol.177 , pp. 95-102
    • Schlichtkrull, J.1    Munck, O.2    Jersild, M.3
  • 29
    • 0028985582 scopus 로고
    • "J"-index. A new proposition of the assessment of current glucose control in diabetic patients
    • Wójcicki JM. "J"-index. A new proposition of the assessment of current glucose control in diabetic patients. Horm Metab Res. 1995;27:41-42.
    • (1995) Horm Metab Res , vol.27 , pp. 41-42
    • Wójcicki, J.M.1
  • 30
    • 79952998106 scopus 로고    scopus 로고
    • The minimum frequency of glucose measurements from which glycemic variation can be consistently assessed
    • Baghurst PA, Rodbard D, Cameron FJ. The minimum frequency of glucose measurements from which glycemic variation can be consistently assessed. J Diab Sci Tech. 2010;4(6):1382-1385.
    • (2010) J Diab Sci Tech , vol.4 , Issue.6 , pp. 1382-1385
    • Baghurst, P.A.1    Rodbard, D.2    Cameron, F.J.3
  • 31
    • 79952181269 scopus 로고    scopus 로고
    • Calculating the mean amplitude of glycemic excursion from continuous glucose monitoring data: An automated algorithm
    • Baghurst PA. Calculating the mean amplitude of glycemic excursion from continuous glucose monitoring data: an automated algorithm. Diabetes Technol Ther. 2011;13(3):296-302.
    • (2011) Diabetes Technol Ther , vol.13 , Issue.3 , pp. 296-302
    • Baghurst, P.A.1
  • 32
    • 79952143101 scopus 로고    scopus 로고
    • The use of a computer program to calculate the mean amplitude of glycemic excursions
    • Fritzsche G, Kohnert KD, Heinke P, Vogt L, Salzsieder E. The use of a computer program to calculate the mean amplitude of glycemic excursions. Diabetes Technol Ther. 2011;13(3):319-325
    • (2011) Diabetes Technol Ther , vol.13 , Issue.3 , pp. 319-325
    • Fritzsche, G.1    Kohnert, K.D.2    Heinke, P.3    Vogt, L.4    Salzsieder, E.5
  • 33
    • 33845475479 scopus 로고    scopus 로고
    • Relationship of fasting and hourly blood glucose levels to HbA1C values: Safety, accuracy, and improvements in glucose profiles obtained using a 7-day continuous glucose sensor
    • Garg S, Jovanovic L. Relationship of fasting and hourly blood glucose levels to HbA1C values: safety, accuracy, and improvements in glucose profiles obtained using a 7-day continuous glucose sensor. Diabetes Care. 2006:29:2644-2649.
    • (2006) Diabetes Care , vol.29 , pp. 2644-2649
    • Garg, S.1    Jovanovic, L.2
  • 34
    • 70349364236 scopus 로고    scopus 로고
    • Improved quality of glycemic control and reduced glycemic variability with use of continuous glucose monitoring
    • Rodbard D, Bailey T, Jovanovic L, Zisser H, Kaplan R, Garg S. Improved quality of glycemic control and reduced glycemic variability with use of continuous glucose monitoring. Diabetes Technol Ther. 2009;11(11):717-723.
    • (2009) Diabetes Technol Ther , vol.11 , Issue.11 , pp. 717-723
    • Rodbard, D.1    Bailey, T.2    Jovanovic, L.3    Zisser, H.4    Kaplan, R.5    Garg, S.6
  • 35
    • 77949901674 scopus 로고    scopus 로고
    • Responses to continuous glucose monitoring in subjects with type 2 diabetes using continuous subcutaneous insulin infusion or multiple daily injections
    • Rodbard D, Jovanovic L, Garg S. Responses to continuous glucose monitoring in subjects with type 2 diabetes using continuous subcutaneous insulin infusion or multiple daily injections. Diabetes Technol Ther. 2009;11(12):757-765.
    • (2009) Diabetes Technol Ther , vol.11 , Issue.12 , pp. 757-765
    • Rodbard, D.1    Jovanovic, L.2    Garg, S.3
  • 36
    • 79960332647 scopus 로고    scopus 로고
    • Measures of glycemic variability and quality of glycemic control obtained using continuous glucose monitoring (CGM): Reference data to facilitate clinical interpretation [Abstract 490-P]
    • Rodbard D. Measures of glycemic variability and quality of glycemic control obtained using continuous glucose monitoring (CGM): reference data to facilitate clinical interpretation [Abstract 490-P]. Diabetes. 2010;59(suppl 1):A132.
    • (2010) Diabetes , vol.59 , Issue.SUPPL 1
    • Rodbard, D.1
  • 37
    • 79960316939 scopus 로고    scopus 로고
    • A new index of glycemic variability (IGV) combining results from multiple criteria. Abstract 2060-P
    • Rodbard D. A new index of glycemic variability (IGV) combining results from multiple criteria. Abstract 2060-P. Diabetes. 2010;59(suppl 1):A539.
    • (2010) Diabetes , vol.59 , Issue.SUPPL 1
    • Rodbard, D.1
  • 38
    • 77955421645 scopus 로고    scopus 로고
    • The median is not the only message: A clinician's perspective on mathematical analysis of glycemic variability and modeling in diabetes mellitus
    • McCall AL, Kovatchev BP. The median is not the only message: a clinician's perspective on mathematical analysis of glycemic variability and modeling in diabetes mellitus. J Diabetes Sci Technol. 2009;3(1):3-11.
    • (2009) J Diabetes Sci Technol , vol.3 , Issue.1 , pp. 3-11
    • McCall, A.L.1    Kovatchev, B.P.2
  • 39
    • 43549115501 scopus 로고    scopus 로고
    • Characterizing glucose exposure for individuals with normal glucose tolerance using continuous glucose monitoring and ambulatory glucose profile analysis
    • Mazze RS, Strock E, Wesley D, Borgman S, Morgan B, Bergenstal R, Cuddihy R. Characterizing glucose exposure for individuals with normal glucose tolerance using continuous glucose monitoring and ambulatory glucose profile analysis. Diabetes Technol Ther. 2008;10(3):149-159.
    • (2008) Diabetes Technol Ther , vol.10 , Issue.3 , pp. 149-159
    • Mazze, R.S.1    Strock, E.2    Wesley, D.3    Borgman, S.4    Morgan, B.5    Bergenstal, R.6    Cuddihy, R.7
  • 40
    • 79956191918 scopus 로고    scopus 로고
    • A decrease in glucose variability does not reduce cardiovascular event rates in type 2 diabetic patients after acute myocardial infarction: A reanalysis of the HEART2D study
    • Siegelaar SE, Kerr L, Jacober SJ, Devries JH. A decrease in glucose variability does not reduce cardiovascular event rates in type 2 diabetic patients after acute myocardial infarction: a reanalysis of the HEART2D study. Diabetes Care. 2011;34(4):855-857.
    • (2011) Diabetes Care , vol.34 , Issue.4 , pp. 855-857
    • Siegelaar, S.E.1    Kerr, L.2    Jacober, S.J.3    Devries, J.H.4
  • 41
    • 79960338258 scopus 로고    scopus 로고
    • GlyCulator: A glycemic variability calculation tool for continuous glucose monitoring data
    • Czerwoniuk D, Fendler W, Walenciak L, Mlynarski W. GlyCulator: A glycemic variability calculation tool for continuous glucose monitoring data. J Diabetes Sci Technol. 2011;5(2):447-451.
    • (2011) J Diabetes Sci Technol , vol.5 , Issue.2 , pp. 447-451
    • Czerwoniuk, D.1    Fendler, W.2    Walenciak, L.3    Mlynarski, W.4
  • 42
    • 0002945732 scopus 로고
    • How to use RIDIT analysis
    • Bross IDJ. How to use RIDIT analysis. Biometrics. 1958;14:18-38.
    • (1958) Biometrics , vol.14 , pp. 18-38
    • Bross, I.D.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.