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Items: 1 to 20 of 73

1.

Effects of measurement frequency on analytical quality required for glucose measurements in intensive care units: assessments by simulation models.

Boyd JC, Bruns DE.

Clin Chem. 2014 Apr;60(4):644-50. doi: 10.1373/clinchem.2013.216366. Epub 2014 Jan 15.

2.

Monte Carlo simulation in establishing analytical quality requirements for clinical laboratory tests meeting clinical needs.

Boyd JC, Bruns DE.

Methods Enzymol. 2009;467:411-33. doi: 10.1016/S0076-6879(09)67016-6.

PMID:
19897102
3.

The impact of measurement frequency on the domains of glycemic control in the critically ill--a Monte Carlo simulation.

Krinsley JS, Bruns DE, Boyd JC.

J Diabetes Sci Technol. 2015 Mar;9(2):237-45. doi: 10.1177/1932296814566507. Epub 2015 Jan 6.

4.
5.

Glucose control in the intensive care unit by use of continuous glucose monitoring: what level of measurement error is acceptable?

Wilinska ME, Hovorka R.

Clin Chem. 2014 Dec;60(12):1500-9. doi: 10.1373/clinchem.2014.225326. Epub 2014 Oct 7.

6.

Glucose control in the intensive care unit.

Fahy BG, Sheehy AM, Coursin DB.

Crit Care Med. 2009 May;37(5):1769-76. doi: 10.1097/CCM.0b013e3181a19ceb. Review.

PMID:
19325461
7.

Continuous glucose monitors and the burden of tight glycemic control in critical care: can they cure the time cost?

Signal M, Pretty CG, Chase JG, Le Compte A, Shaw GM.

J Diabetes Sci Technol. 2010 May 1;4(3):625-35.

8.

An efficiency evaluation of protocols for tight glycemic control in intensive care units.

Malesker MA, Foral PA, McPhillips AC, Christensen KJ, Chang JA, Hilleman DE.

Am J Crit Care. 2007 Nov;16(6):589-98.

9.

Glucose meter performance criteria for tight glycemic control estimated by simulation modeling.

Karon BS, Boyd JC, Klee GG.

Clin Chem. 2010 Jul;56(7):1091-7. doi: 10.1373/clinchem.2010.145367. Epub 2010 May 28.

10.

Continuous glucose monitoring in newborn infants: how do errors in calibration measurements affect detected hypoglycemia?

Thomas F, Signal M, Harris DL, Weston PJ, Harding JE, Shaw GM, Chase JG; CHYLD Study Group.

J Diabetes Sci Technol. 2014 May;8(3):543-50. doi: 10.1177/1932296814524857. Epub 2014 Feb 27.

11.

Evaluation of a clinical decision support system for glucose control: impact of protocol modifications on compliance and achievement of glycemic targets.

Lipton JA, Barendse RJ, Akkerhuis KM, Schinkel AF, Simoons ML.

Crit Pathw Cardiol. 2010 Sep;9(3):140-7. doi: 10.1097/HPC.0b013e3181e7d7ca.

PMID:
20802267
12.
13.

Computerized insulin infusion programs are safe and effective in the burn intensive care unit.

Lee J, Fortlage D, Box K, Sakarafus L, Bhavsar D, Coimbra R, Potenza B.

J Burn Care Res. 2012 May-Jun;33(3):e114-9. doi: 10.1097/BCR.0b013e3182331e39.

PMID:
22079904
14.

A novel computerized fading memory algorithm for glycemic control in postoperative surgical patients.

Horibe M, Nair BG, Yurina G, Neradilek MB, Rozet I.

Anesth Analg. 2012 Sep;115(3):580-7. doi: 10.1213/ANE.0b013e318259ee31. Epub 2012 Jun 5.

PMID:
22669346
15.

Safe and effective use of a glycemic control protocol for neonates in a cardiac ICU.

Hebson CL, Chanani NK, Rigby MR, Wolf MJ, Deshpande SR, Montegna LM, Maher KO.

Pediatr Crit Care Med. 2013 Mar;14(3):284-9. doi: 10.1097/PCC.0b013e31827200de.

PMID:
23392366
16.

Intensive insulin therapy: enhanced Model Predictive Control algorithm versus standard care.

Cordingley JJ, Vlasselaers D, Dormand NC, Wouters PJ, Squire SD, Chassin LJ, Wilinska ME, Morgan CJ, Hovorka R, Van den Berghe G.

Intensive Care Med. 2009 Jan;35(1):123-8. doi: 10.1007/s00134-008-1236-z. Epub 2008 Jul 26.

PMID:
18661120
17.

Design and implementation of GRIP: a computerized glucose control system at a surgical intensive care unit.

Vogelzang M, Zijlstra F, Nijsten MW.

BMC Med Inform Decis Mak. 2005 Dec 19;5:38.

18.

Decision support for optimized blood glucose control and nutrition in a neurotrauma intensive care unit: preliminary results of clinical advice and prediction accuracy of the Glucosafe system.

Pielmeier U, Rousing ML, Andreassen S, Nielsen BS, Haure P.

J Clin Monit Comput. 2012 Aug;26(4):319-28. doi: 10.1007/s10877-012-9364-y. Epub 2012 May 13.

PMID:
22581038
19.

First pilot trial of the STAR-Liege protocol for tight glycemic control in critically ill patients.

Penning S, Le Compte AJ, Moorhead KT, Desaive T, Massion P, Preiser JC, Shaw GM, Chase JG.

Comput Methods Programs Biomed. 2012 Nov;108(2):844-59. doi: 10.1016/j.cmpb.2011.07.003. Epub 2011 Aug 31.

20.

Tight glycemic control in critical care--the leading role of insulin sensitivity and patient variability: a review and model-based analysis.

Chase JG, Le Compte AJ, Suhaimi F, Shaw GM, Lynn A, Lin J, Pretty CG, Razak N, Parente JD, Hann CE, Preiser JC, Desaive T.

Comput Methods Programs Biomed. 2011 May;102(2):156-71. doi: 10.1016/j.cmpb.2010.11.006. Epub 2010 Dec 9. Review.

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