Modeling of effect of glucose sensor errors on insulin dosage and glucose bolus computed by LOGIC-Insulin

Clinical Chemistry

Volumn 60, Issue 12, 2014, Pages 1510-1518

  Van Herpe, Tom ^a,b   De Moor, Bart ^b   Van Den Berghe, Greet ^a   Mesotten, Dieter ^a  

^a UNIVERSITY HOSPITALS LEUVEN   (Belgium)

^b UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE; INSULIN; GLUCOSE BLOOD LEVEL;

ANALYTICAL ERROR; ARTICLE; BLOOD GLUCOSE MONITORING; CRITICALLY ILL PATIENT; DOSE CALCULATION; GLUCOSE SENSOR; GLYCEMIC CONTROL; HUMAN; HYPERGLYCEMIA; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; PROBABILITY; SIMULATION; ALGORITHM; ANALYSIS; BLOOD; BLOOD ANALYSIS; COMPUTER SIMULATION; GLUCOSE BLOOD LEVEL;

ALGORITHMS; BLOOD CHEMICAL ANALYSIS; BLOOD GLUCOSE; COMPUTER SIMULATION; DRUG DOSAGE CALCULATIONS; HUMANS; INSULIN;

EID: 84925546408     PISSN: 00099147     EISSN: 15308561     Source Type: Journal    
DOI: 10.1373/clinchem.2014.227017     Document Type: Article

References (34)

1. Bagshaw SM, Egi M, George C, Bellomo R. Early blood glucose control and mortality in critically ill patients in Australia. Crit Care Med 2009; 37:463-70.
2. Deedwania P, Kosiborod M, Barrett E, Ceriello A, Isley W, Mazzone T, Raskin P. Hyperglycemia and acute coronary syndrome: a scientific statement from the American Heart Association Diabetes Committee of the Council on Nutrition, Physical Activity, and Metabolism. Circulation 2008; 117: 1610-9.
3. Van den Berghe G, Wouters P, Weekers F, Verwaest C, Bruyninckx F, Schetz M, et al. Intensive insulin therapy in critically ill patients. N Engl J Med 2001; 345:1359-67.
4. Van den Berghe G, Wilmer A, Hermans G, Meersseman W, Wouters PJ, Milants I, et al. Intensive insulin therapy in the medical ICU. N Engl J Med 2006; 354:449-61.
5. Vlasselaers D, Milants I, Desmet L, Wouters PJ, Vanhorebeek I, van den Heuvel I, et al. Intensive insulin therapy for patients in paediatric intensive care: a prospective, randomised controlled study. Lancet 2009; 373:547-56.
6. Krinsley JS Effect of an intensive glucose management protocol on the mortality of critically ill adult patients. Mayo Clin Proc 2004; 79:992-1000.
7. Reed CC, Stewart RM, Sherman M, Myers JG, Corneille MG, Larson N, et al. Intensive insulin protocol improves glucose control and is associated with a reduction in intensive care unit mortality. J Am Coll Surg 2007; 204:1048-54.
8. Brunkhorst FM, Engel C, Bloos F, Meier-Hellmann A, Ragaller M, Weiler N, et al. Intensive insulin therapy and pentastarch resuscitation in severe sepsis. N Engl J Med 2008; 358:125-39.
9. Preiser JC, Devos P, Ruiz-Santana S, Melot C, Annane D, Groeneveld J, et al. A prospective randomised multi-centre controlled trial on tight glucose control by intensive insulin therapy in adult intensive care units: the Glucontrol study. Intensive Care Med 2009; 35:1738-48.
10. Finfer S, Chittock DR, Su SY, Blair D, Foster D, Dhingra V, et al. Intensive versus conventional glucose control in critically ill patients. N Engl J Med 2009; 360:1283-97.
11. Van den Berghe G, Schetz M, Vlasselaers D, Hermans G, Wilmer A, Bouillon R, Mesotten D. Clinical review: intensive insulin therapy in critically ill patients: NICE-SUGAR or Leuven blood glucose target? J Clin Endocrinol Metab 2009; 94: 3163-70.
12. Kavanagh BP, McCowen KC. Clinical practice: glycemic control in the ICU. N Engl J Med 2010; 363:2540-6.
13. Finfer S, Wernerman J, Preiser JC, Cass T, Desaive T, Hovorka R, et al. Clinical review: consensus recommendations on measurement of blood glucose and reporting glycemic control in critically ill adults. Critical Care 2013; 17:229.
14. Van Herpe T, Mesotten D. Blood glucose measurements in critically ill patients. J Diabetes Sci Technol 2012; 6:22-8.
15. Scott MG, Bruns DE, Boyd JC, Sacks DB. Tight glucose control in the intensive care unit: are glucose meters up to the task? Clin Chem 2009; 55:18-20.
16. Kanji S, Buffie J, Hutton B, Bunting PS, Singh A, McDonald K, et al. Reliability of point-of-care testing for glucose measurement in critically ill adults. Crit Care Med 2005; 33:2778-85.
17. Karon BS, Boyd JC, Klee GG. Glucose meter performance criteria for tight glycemic control estimated by simulation modeling. Clin Chem 2010; 56:1091-7.
18. Pretty CG, Chase JG, Le Compte A, Shaw GM, Signal M. Hypoglycemia detection in critical care using continuous glucose monitors: an in silico proof of concept analysis. J Diabetes Sci Technol 2010; 4:15-24.
19. Wilinska ME, Blaha J, Chassin LJ, Cordingley JJ, Dormand NC, Ellmerer M, et al. Evaluating glycemic control algorithms by computer simulations. Diabetes Technol Ther 2011; 13:713-22.
20. Boyd JC, Bruns DE. Effects of measurement frequency on analytical quality required for glucose measurements in intensive care units: assessments by simulation models. Clin Chem 2014; 60: 644-50.
21. Van Herpe T, Mesotten D, Wouters PJ, Herbots J, Voets E, Buyens J, et al. Logic-insulin algorithmguided versus nurse-directed blood glucose control during critical illness: the LOGIC-1 single-center, randomized, controlled clinical trial. Diabetes Care 2013; 36:188-94.
22. Van Den Berghe G, Berckmans D, Aerts J-M, De Moor B, Pluymers B, De Smet F, inventors; K.U. Leuven Research & Development, assignee. Automatic infusion system based on an adaptive patient model. United States patent US 7,491,187. 2009 Feb 17.
23. Van Herpe T, De Brabanter J, Beullens M, De Moor B, Van den Berghe G. Glycemic penalty index for adequately assessing and comparing different blood glucose control algorithms. Crit Care 2008; 12:R24.
24. Toffolo G, Bergman RN, Finegood DT, Bowden CR, Cobelli C. Quantitative estimation of beta cell sensitivity to glucose in the intact organism: a minimal model of insulin kinetics in the dog. Diabetes 1980; 29:979-90.
25. Hovorka R, Chassin LJ, Ellmerer M, Plank J, Wilinska ME. A simulation model of glucose regulation in the critically ill. Physiol Meas 2008; 29: 959-78.
26. Van Herpe T, Espinoza M, Haverbeke N, De Moor B, Van den Berghe G. Glycemia prediction in critically ill patients using an adaptive modeling approach. J Diabetes Sci Technol 2007; 1:348-56.
27. Poesen K, De Prins M, Van den Berghe G, Van Eldere J, Vanstapel F. Performance of cassettebased blood gas analyzers to monitor blood glucose and lactate levels in a surgical intensive care setting. Clin Chem Lab Med 2013; 51: 1417-27.
28. Van Herpe T, De Moor B, Van den Berghe G. Towards closed-loop glycaemic control. Best Pract Res Clin Anaesthesiol 2009; 23:69-80.
29. Boyd JC, Bruns DE. Quality specifications for glucose meters: assessment by simulation modeling of errors in insulin dose. Clin Chem 2001; 47:209-14.
30. Boyd JC, Bruns DE. Monte Carlo simulation in establishing analytical quality requirements for clinical laboratory tests meeting clinical needs. Methods Enzymol 2009; 467:411-33.
31. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1:307-10.
32. Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res 1999; 8:135-60.
33. Van Herpe T, Pelckmans K, De Brabanter J, Janssens F, De Moor B, Van den Berghe G. Statistical approach of assessing the reliability of glucose sensors: the Glycensit procedure. J Diabetes Sci Technol 2008; 2:939-47.
34. Mesotten D. Continuous glucose sensors for glycaemic control in the ICU: have we arrived? Crit Care 2013; 17:1004.