Locally smoothed median absolute difference curves and the first global performance cooperative: Relevance to glycemic variability and underserved populations

Point of Care

Volumn 8, Issue 2, 2009, Pages 45-52

  Kost, Gerald J ^a,c   Tran, Nam K ^a   Sifontes, Jorge R ^a   Mecozzi, Dan M ^a   Louie, Richard F ^a   Abad, Victor J ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NONE

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bandwidth; Discrepant values; Erroneous results; Hypotheses; ISO 15197 guideline; Locally smoothed median absolute difference curve; Outcomes

Indexed keywords

EID: 68549085484     PISSN: 1533029X     EISSN: 15330303     Source Type: Journal    
DOI: 10.1097/POC.0b013e3181a4951d     Document Type: Conference Paper

References (41)

1. Kost GJ, Tran NK, Abad VJ, et al. Evaluation of point-of-care glucose testing accuracy using locally-smoothed median absolute difference curves. Clin Chim Acta. 2008;389:31-39.
2. Clarke WL, Cox D, Gonder-Frederick LA, et al. Evaluating clinical accuracy of systems for self-monitoring of blood glucose. Diabetes Care. 1987;10:622-628.
3. Draft guidance for industry and FDA staff - total product life cycle for portable invasive blood glucose monitoring systems. Available at: http://www.fda.gov/ cdrh/oivd/guidance/1603.html. Accessed June 23, 2008.
4. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1: 307-310.
5. International Organization for Standardization. In Vitro Diagnostic Test Systems - Requirements for Blood-Glucose Monitoring Systems for Self-Testing in Managing Diabetes Mellitus. International standard. Report number ISO 15197:2003(E). Geneva, Switzerland: International Organization for Standardization; 2003.
6. Kost GJ, Louie R, Veerasamy N, et al. Meeting the challenge of the International Standard ISO 15197 for capillary glucose accuracy [abstract]. Clin Chem. 2005:51:A255.
7. Kost GJ, Vu HT, Lee JH, et al. Multicenter study of oxygen-insensitive handheld glucose point-of-care testing in critical care/hospital/ ambulatory patients in the United States and Canada. Crit Care Med. 1998;26:581-590.
8. Lazar HL, Chipkin SR, Fitzgerald CA, et al. Tight glycemic control in diabetic coronary artery bypass graft improves perioperative outcomes and decreases recurrent ischemic events. Circulation. 2004; 109:1497-1502.
9. Zimmerman CR, Mlynarek ME, Jordan JA, et al. An insulin infusion protocol in critically ill cardiothoracic surgery patients. Ann Pharmacother. 2004;38:1123-1129.
10. Krinsley JS, Grover A. Severe hypoglycemia in critically ill patients: risk factors and outcomes. Crit Care Med. 2007;35:2262-2267.
11. Goldberg PA, Siegel MD, Sherwin RS, et al. Implementation of a safe and effective insulin infusion protocol in a medical intensive care unit. Diabetes Care. 2004;27:461-467.
12. Meynaar IA, Dawson L, Tangkau PL, et al. Introduction and evaluation of a computerized insulin protocol. Intensive Care Med. 2007;33: 591-596.
13. Carr JM, Sellke FW, Fey M, et al. Implementing tight glucose control after coronary artery bypass surgery. Ann Thorac Surg. 2005;80: 902-909.
14. Pham TN, Warren AJ, Phan HH, et al. Impact of tight glycemic control in severely burned children. J Trauma. 2005;59:1148-1154.
15. Plank J, Blaha J, Cordingley J, et al. Multicentric, randomized, controlled trial to evaluate blood glucose control by the model predictive control algorithm versus routine glucose management protocols in intensive care unit patients. Diabetes Care. 2006;29: 271-276.
16. Van den Berghe G, Wouters P, Weekers F, et al. Intensive insulin therapy in critically ill patients. N Eng J Med. 2001;345:1359-1367.
17. Van den Berghe G, Wouters PJ, Bouillon R, et al. Outcome benefit of intensive insulin therapy in the critically ill: insulin dose versus glycemic control. Crit Care Med. 2003;31:359-366.
18. Van den Berghe G, Woulters PJ, Kesteloot K, et al. Analysis of healthcare resource utilization with intensive insulin therapy in critically ill patients. Crit Care Med. 2006;34:612-616.
19. Khan AI, Vasquez Y, Gray J, et al. The variability of results between point-of-care testing glucose meters and the central laboratory analyzer. Arch Pathol Lab Med. 2006;130:1527-1532.
20. Louie RF, Tang Z, Sutton DV, et al. Point-of-care glucose testing: effects of critical care variables, influence of reference instruments, and a modular glucose meter design. Arch Pathol Lab Med. 2000;124:257-266.
21. Tang Z, Lee JH, Louie RF, et al. Effects of different hematocrit levels on glucose measurements with handheld meters for point-of-care testing. Arch Pathol Lab Med. 2000;124:1135-1140.
22. Tang Z, Louie RF, Lee JH, et al. Oxygen effects on glucose meter measurements with glucose dehydrogenase- and oxidase-based test strips for point-of-care testing. Crit Care Med. 2001;29:1062-1070.
23. Kost GJ. Preventing medical errors in point-of-care testing: security, validation, performance, safeguards, and connectivity. Arch Pathol Lab Med. 125:1307-1315.
24. Sumner SL, Louie RF, Vo L, et al. Environmental limits of POCT: relevance to disaster readiness [abstract]. Clin Chem. 2007;53:A219.
25. Desachy A, Vuagnat AC, Ghazali AD, et al. Accuracy of bedside glucometry in critically ill patients: influence of clinical characteristics and perfusion index. Mayo Clin Proc. 2008;83: 400-405.
26. Fahy BG, Coursin DB. Critical glucose control: the devil is in the details. Mayo Clin Proc. 2008;83:394-397.
27. Food and Drug Administration. Important safety information on interference with blood glucose measurement following use of parenteral maltose/parenteral galactose/oral xylose-containing products. Available at: http://www.fda.gov/cber/safety/ maltose110405.htm. Accessed February 2, 2008.
28. Rao LV, Jakubiak F, Sidwell JS, et al. Accuracy evaluation of a new glucometer with automated hematocrit measurement and correction. Clin Chim Acta. 2005;356:178-183.
29. Karon BS, Griesmann L, Scott R, et al. Evaluation of the impact of hematocrit and other interference on the accuracy of hospital-based glucose meters. Diabetes Technol Ther. 2008;10:111-120.
30. Holtzinger C, Szelag E, DuBois JA, et al. Evaluation of a new POCT bedside glucose meter and strip with hematocrit and interference corrections. Point of Care. 2008;7:5-10.
31. Ali NA, O'Brien JM, Dungan K, et al. Glucose variability and mortality in patients with sepsis. Crit Care Med. 2008;36:2316-2321.
32. Dossett LA, Cao H, Mowery NT, et al. Blood glucose variability is associated with mortality in the surgical intensive care unit. Am Surg. 2008;74:679-685.
33. Egi M, Bellomo R, Stachowski E, et al. Blood glucose concentration and outcome of critical illness: the impact of diabetes. Crit Care Med. 2008;36:2249-2255.
34. Egi M, Bellomo R, Stachowski E, et al. Variability of blood glucose concentration and short-term mortality in critically ill patients. Anesthesiology. 2006;105:244-252.
35. Finney S, Zekveld C, Elia A, et al. Glucose control and mortality in critically ill patients. JAMA. 2003;290:2041-2047.
36. Hirshberg E, Larsen G, Van Duker H. Alterations in glucose homeostasis in the pediatric thorough care unit: hyperglycemia and glucose variability are associated with increased mortality and morbidity. Pediatr Crit Care Med. 2008;9:361-366.
37. Krinsley JS. Glycemic variability: a strong independent predictor of mortality in critically ill patients. Crit Care Med. 2008;36: 3008-3013.
38. Waeschle RM, Moerer O, Hilgers R, et al. The impact of the severity of sepsis on the risk of hypoglycaemia and glycaemic variability. Crit Care. 2008;12:R129.
39. Kovoatchev BP, Otto E, Cox D, et al. Evaluation of a new measure of blood glucose variability in diabetes. Diabetes Care. 2006;29: 2433-2438.
40. Van Herpe T, De Brabanter J, Beullens M, et al. Glycemic penalty index for adequately assessing and comparing different blood glucose control algorithms. Crit Care. 2008;12:R24.
41. Gentile NL, Louie RF, Sifontes J, et al. Standardization, harmonization, and realization. Point of Care. 2008;7:110-112.