Statistical tools to analyze continuous glucose monitor data

Diabetes Technology and Therapeutics

Volumn 11, Issue SUPPL.1, 2009, Pages

  Clarke, William ^a,b   Kovatchev, Boris ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

^b UNIVERSITY OF VIRGINIA HEALTH SYSTEM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMBULATORY MONITORING; ARTICLE; BLOOD; EATING; FOOD AND DRUG ADMINISTRATION; GLUCOSE BLOOD LEVEL; HUMAN; INSTRUMENTATION; INSULIN DEPENDENT DIABETES MELLITUS; METHODOLOGY; PANCREAS ISLET TRANSPLANTATION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STANDARD; UNITED STATES;

BLOOD GLUCOSE; DIABETES MELLITUS, TYPE 1; EATING; HUMANS; ISLETS OF LANGERHANS TRANSPLANTATION; MONITORING, AMBULATORY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; UNITED STATES; UNITED STATES FOOD AND DRUG ADMINISTRATION;

EID: 70349240850     PISSN: 15209156     EISSN: 15578593     Source Type: Journal    
DOI: 10.1089/dia.2008.0138     Document Type: Article

References (23)

1. Food and Drug Administration: Summary of Safety and Effectiveness Data-Medtronic Guardian RT. Available online at: www.fda.gov=cdrh=PDF= p980022s01.pdf (accessed July 2005).
2. Food and Drug Administration: Summary of Safety and Effectiveness Data-STS-7 Continuous Glucose Monitoring System. Available online at: www.fda.gov=crdh=pdf5= p050012s001b.pdf (accessed May 2007).
3. Food and Drug Administration: Summary of Safety and Effectiveness Data-Free Style Navigator Continuous Glucose Monitoring System. Available online at: www.fda.gov= crdh=pdf5=p050020b.pdf (accessed March 2008).
4. Kovatchev B, Gonder-Frederick L, Cox D, Clarke W: Evaluating the accuracy of continuous glucose monitoring sensors. Diabetes Care 2004;27:1922-1928.
5. Clarke W, Anderson S, Farhy L, Breton M, Gonder-Frederick L, Cox D, Kovatchev B: Evaluating the clinical accuracy of two continuous glucose sensors using continuous glucoseerror grid analysis. Diabetes Care 2005;28:2412-2417. (Pubitemid 41384286)
6. Clarke W, Kovatchev B: Continuous glucose sensors: continuing questions about clinical accuracy. J Diabetes Sci Technol 2007;1:669-675.
7. Kovatchev B, Anderson S, Heinemann L, Clarke W: Comparison of the numerical and clinical accuracy of four continuous glucose monitors. Diabetes Care 2008;31:1160-1164.
8. Clarke W, Anderson S, Kovatchev B: Evaluating clinical accuracy of continuous glucose monitoring systems: continuous glucose-error grid analysis (CG-EGA). Curr Diabetes Rev 2008;4:193-199.
9. Clarke W, Cox D, Gonder-Frederick L, Carter W, Pohl S: Evaluating the clinical accuracy of self-blood glucose monitoring systems. Diabetes Care 1987;10:622-628. (Pubitemid 17158937)
10. Cox D, Herrman J, Snyder A, Gonder-Frederick L, Reschke J, Clarke W: Stability of reacted Chemstrip bG. Diabetes Care 1988;11:288-291.
11. The effect of intensive treatment of diabetes on the development and progression of long-term complications of insulin-dependent diabetes mellitus. Diabetes Control and Complications Trial Research Group. N Engl J Med 1993; 329:978-986.
12. American Diabetes Association Workgroup on Hypoglycemia: Defining and reporting hypoglycemia in diabetes: a report from the American Diabetes Association Workgroup on Hypoglycemia. Diabetes Care 2005;28:1245-1249.
13. Kovatchev BP, Clarke WL, Breton M, Brayman K, McCall A: Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: mathematical methods and clinical application. Diabetes Technol Ther 2005;7:849-862. (Pubitemid 43133992)
14. Kovatchev B, Cox D, Gonder-Frederick L, Clarke W: Symmetrization of the blood glucose measurement scale and its applications. Diabetes Care 1997;20:1655-1658. (Pubitemid 27463037)
15. Kovatchev BP, Straume M, Cox DJ, Farhi LS: Risk analysis of blood glucose data: a quantitative approach to optimizing the control of insulin dependent diabetes. J Theor Med 2001; 3:1-10. (Pubitemid 34498507)
16. Kovatchev BP, Cox DJ, Gonder-Frederick LA, Clarke WL: Methods for quantifying self-monitoring blood glucose profiles exemplified by an examination of blood glucose patterns in patients with type 1 and type 2 diabetes. Diabetes Technol Ther 2002;4:295-303. (Pubitemid 34666277)
17. Kovatchev BP, Cox DJ, Kumar A, Gonder-Frederick LA, Clarke WL: Algorithmic evaluation of metabolic control and risk of severe hypoglycemia in type 1 and type 2 diabetes using self-monitoring blood glucose data. Diabetes Technol Ther 2003;5:817-828. (Pubitemid 37339544)
18. Miller M, Strange P: Use of Fourier models for analysis and interpretation of continuous glucose monitoring glucose profiles. J Diabetes Sci Technol 2007;1:630-638.
19. Breton MD, Shields DP, Kovatchev BP: Optimum subcutaneous glucose sampling and Fourier analysis of continuous glucose monitors. J Diabetes Sci Technol 2008;2:495-500.
20. McDonnell CM, Donath SM, Vidmar SI, Werther GA, Cameron FJ: A novel approach to continuous glucose analysis utilizing glycemic variation. Diabetes Technol Ther 2005;7: 253-263. (Pubitemid 40586369)
21. Brennan M, Palaniswami M, Kamen P: Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability? IEEE Trans Biomed Eng 2001;48:1342-1347. (Pubitemid 32988575)
22. Magni L, Raimondo F, Dalla Man C, Breton MD, Patek S, De Nicolao G, Cobelli C, Kovatchev BP: Evaluating the efficacy of closed-loop glucose regulation via control-variability grid analysis. J Diabetes Sci Technol 2008;2:630-635.
23. Kovatchev BP, Breton MD, Dalla Man C, Cobelli C: In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes. J Diabetes Sci Technol 2009;3:44-55.