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Items: 1 to 20 of 374

1.

Tight glycaemic control by an automated algorithm with time-variant sampling in medical ICU patients.

Pachler C, Plank J, Weinhandl H, Chassin LJ, Wilinska ME, Kulnik R, Kaufmann P, Smolle KH, Pilger E, Pieber TR, Ellmerer M, Hovorka R.

Intensive Care Med. 2008 Jul;34(7):1224-30. doi: 10.1007/s00134-008-1033-8.

PMID:
18297268
2.

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.

PMID:
18661120
3.

[Pilot study to evaluate blood glucose control by a model predictive control algorithm with variable sampling rate vs. routine glucose management protocol in peri- and postoperative period in cardiac surgery patients].

Roubícek T, Kremen J, Bláha J, Matias M, Kopecký P, Rulísek J, Anderlová K, Bosanská L, Mráz M, Chassin LJ, Hovorka R, Svacina S, Haluzík M.

Cas Lek Cesk. 2007;146(11):868-73. Czech.

PMID:
18069214
4.

A randomized controlled trial comparing a computer-assisted insulin infusion protocol with a strict and a conventional protocol for glucose control in critically ill patients.

Cavalcanti AB, Silva E, Pereira AJ, Caldeira-Filho M, Almeida FP, Westphal GA, Beims R, Fernandes CC, Correa TD, Gouvea MR, Eluf-Neto J.

J Crit Care. 2009 Sep;24(3):371-8. doi: 10.1016/j.jcrc.2009.05.005.

PMID:
19592202
5.

Implementation and evaluation of the SPRINT protocol for tight glycaemic control in critically ill patients: a clinical practice change.

Chase JG, Shaw G, Le Compte A, Lonergan T, Willacy M, Wong XW, Lin J, Lotz T, Lee D, Hann C.

Crit Care. 2008;12(2):R49. doi: 10.1186/cc6868.

6.

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.

Plank J, Blaha J, Cordingley J, Wilinska ME, Chassin LJ, Morgan C, Squire S, Haluzik M, Kremen J, Svacina S, Toller W, Plasnik A, Ellmerer M, Hovorka R, Pieber TR.

Diabetes Care. 2006 Feb;29(2):271-6.

PMID:
16443872
7.

Computer-assisted glucose control in critically ill patients.

Vogelzang M, Loef BG, Regtien JG, van der Horst IC, van Assen H, Zijlstra F, Nijsten MW.

Intensive Care Med. 2008 Aug;34(8):1421-7. doi: 10.1007/s00134-008-1091-y.

8.
9.

Towards a feasible algorithm for tight glycaemic control in critically ill patients: a systematic review of the literature.

Meijering S, Corstjens AM, Tulleken JE, Meertens JH, Zijlstra JG, Ligtenberg JJ.

Crit Care. 2006 Feb;10(1):R19. Review.

10.

Hospital glucose control: safe and reliable glycemic control using enhanced model predictive control algorithm in medical intensive care unit patients.

Amrein K, Ellmerer M, Hovorka R, Kachel N, Parcz D, Korsatko S, Smolle K, Perl S, Bock G, Doll W, Köhler G, Pieber TR, Plank J.

Diabetes Technol Ther. 2010 May;12(5):405-12. doi: 10.1089/dia.2009.0147.

PMID:
20388051
11.

Blood glucose control by a model predictive control algorithm with variable sampling rate versus a routine glucose management protocol in cardiac surgery patients: a randomized controlled trial.

Hovorka R, Kremen J, Blaha J, Matias M, Anderlova K, Bosanska L, Roubicek T, Wilinska ME, Chassin LJ, Svacina S, Haluzik M.

J Clin Endocrinol Metab. 2007 Aug;92(8):2960-4.

PMID:
17550955
12.

Management of tight intraoperative glycemic control during off-pump coronary artery bypass surgery in diabetic and nondiabetic patients.

Lecomte P, Foubert L, Coddens J, Dewulf B, Nobels F, Casselman F, Cammu G.

J Cardiothorac Vasc Anesth. 2011 Dec;25(6):937-42. doi: 10.1053/j.jvca.2011.03.173.

PMID:
21640613
13.

Evaluating glycemic control algorithms by computer simulations.

Wilinska ME, Blaha J, Chassin LJ, Cordingley JJ, Dormand NC, Ellmerer M, Haluzik M, Plank J, Vlasselaers D, Wouters PJ, Hovorka R.

Diabetes Technol Ther. 2011 Jul;13(7):713-22. doi: 10.1089/dia.2011.0016.

PMID:
21488803
14.

Validation of an insulin infusion nomogram for intensive glucose control in critically ill patients.

Chant C, Wilson G, Friedrich JO.

Pharmacotherapy. 2005 Mar;25(3):352-9.

PMID:
15843282
15.

Standardization of intravenous insulin therapy improves the efficiency and safety of blood glucose control in critically ill adults.

Kanji S, Singh A, Tierney M, Meggison H, McIntyre L, Hebert PC.

Intensive Care Med. 2004 May;30(5):804-10.

PMID:
15127193
16.

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
17.

Lowering of glucose in critical care: a randomized pilot trial.

McMullin J, Brozek J, McDonald E, Clarke F, Jaeschke R, Heels-Ansdell D, Leppert R, Foss A, Cook D.

J Crit Care. 2007 Jun;22(2):112-8; discussion 118-9.

PMID:
17548021
18.

The efficacy and safety of glucose control algorithms in intensive care: a pilot study of the Survival Using Glucose Algorithm Regulation (SUGAR) trial.

Henderson WR, Dhingra V, Chittock D, Foster D, Hebert P, Cook D, Heyland D, Dodek P, Griesdale D, Schulzer M, Ronco JJ; Canadian Critical Trials Group..

Pol Arch Med Wewn. 2009 Jul-Aug;119(7-8):439-46.

19.

A prospective randomised multi-centre controlled trial on tight glucose control by intensive insulin therapy in adult intensive care units: the Glucontrol study.

Preiser JC, Devos P, Ruiz-Santana S, Mélot C, Annane D, Groeneveld J, Iapichino G, Leverve X, Nitenberg G, Singer P, Wernerman J, Joannidis M, Stecher A, Chioléro R.

Intensive Care Med. 2009 Oct;35(10):1738-48. doi: 10.1007/s00134-009-1585-2.

PMID:
19636533
20.

Software-guided insulin dosing: tight glycemic control and decreased glycemic derangements in critically ill patients.

Saur NM, Kongable GL, Holewinski S, O'Brien K, Nasraway SA Jr.

Mayo Clin Proc. 2013 Sep;88(9):920-9. doi: 10.1016/j.mayocp.2013.07.003.

PMID:
24001484
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