Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 232

1.

Computerization of the Yale insulin infusion protocol and potential insights into causes of hypoglycemia with intravenous insulin.

Marvin MR, Inzucchi SE, Besterman BJ.

Diabetes Technol Ther. 2013 Mar;15(3):246-52. doi: 10.1089/dia.2012.0277. Epub 2013 Jan 4.

2.

Minimization of Hypoglycemia as an Adverse Event During Insulin Infusion: Further Refinement of the Yale Protocol.

Marvin MR, Inzucchi SE, Besterman BJ.

Diabetes Technol Ther. 2016 Aug;18(8):480-6. doi: 10.1089/dia.2016.0101. Epub 2016 Jun 3.

3.

Performance of a dose-defining insulin infusion protocol among trauma service intensive care unit admissions.

Braithwaite SS, Edkins R, Macgregor KL, Sredzienski ES, Houston M, Zarzaur B, Rich PB, Benedetto B, Rutherford EJ.

Diabetes Technol Ther. 2006 Aug;8(4):476-88.

PMID:
16939372
4.

Target attainment through algorithm design during intravenous insulin infusion.

Devi R, Zohra T, Howard BS, Braithwaite SS.

Diabetes Technol Ther. 2014 Apr;16(4):208-18. doi: 10.1089/dia.2013.0287. Epub 2013 Dec 19.

PMID:
24354344
5.

USE OF A COMPUTER-GUIDED GLUCOSE MANAGEMENT SYSTEM TO IMPROVE GLYCEMIC CONTROL AND ADDRESS NATIONAL QUALITY MEASURES: A 7-YEAR, RETROSPECTIVE OBSERVATIONAL STUDY AT A TERTIARY CARE TEACHING HOSPITAL.

Tanenberg RJ, Hardee S, Rothermel C, Drake AJ 3rd.

Endocr Pract. 2017 Mar;23(3):331-341. doi: 10.4158/EP161402.OR. Epub 2016 Dec 14.

PMID:
27967226
6.

Evaluation of nursing adherence to a paper-based graduated continuous intravenous regular human insulin infusion algorithm.

Dickerson RN, Johnson JL, Maish GO 3rd, Minard G, Brown RO.

Nutrition. 2012 Oct;28(10):1008-11. doi: 10.1016/j.nut.2012.01.010. Epub 2012 May 31.

PMID:
22658642
7.

Improving IV insulin administration in a community hospital.

Magee MC.

J Vis Exp. 2012 Jun 11;(64):e3705. doi: 10.3791/3705.

8.

Reducing the risk of hypoglycemia associated with intravenous insulin: experience with a computerized insulin infusion program in 4 adult intensive care units.

Sandler V, Misiasz MR, Jones J, Baldwin D.

J Diabetes Sci Technol. 2014 Sep;8(5):923-9. doi: 10.1177/1932296814540870. Epub 2014 Jul 1.

9.

Comparison of insulin infusion protocols targeting 110-140 mg/dL in patients after cardiac surgery.

Magaji V, Nayak S, Donihi AC, Willard L, Jampana S, Nivedita P, Eder R, Johnston J, Korytkowski MT.

Diabetes Technol Ther. 2012 Nov;14(11):1013-7. doi: 10.1089/dia.2012.0114. Epub 2012 Oct 9.

PMID:
23046399
10.

Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: the Virginia experience.

Clarke WL, Anderson S, Breton M, Patek S, Kashmer L, Kovatchev B.

J Diabetes Sci Technol. 2009 Sep 1;3(5):1031-8.

11.

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
13.

Hyperglycemia during acute coronary syndrome: a nurse-managed insulin infusion protocol for stricter and safer control.

Avanzini F, Marelli G, Donzelli W, Sorbara L, Palazzo E, Bellato L, Colombo EL, Roncaglioni MC, Riva E, De Martini M; DDD study group.

Eur J Cardiovasc Nurs. 2009 Sep;8(3):182-9. doi: 10.1016/j.ejcnurse.2008.12.001. Epub 2009 Jan 29.

PMID:
19179114
14.

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. Epub 2009 Jul 9.

PMID:
19592202
15.

The PILGRIM study: in silico modeling of a predictive low glucose management system and feasibility in youth with type 1 diabetes during exercise.

Danne T, Tsioli C, Kordonouri O, Blaesig S, Remus K, Roy A, Keenan B, Lee SW, Kaufman FR.

Diabetes Technol Ther. 2014 Jun;16(6):338-47. doi: 10.1089/dia.2013.0327. Epub 2014 Jan 21.

PMID:
24447074
16.

A comparison study of continuous insulin infusion protocols in the medical intensive care unit: computer-guided vs. standard column-based algorithms.

Newton CA, Smiley D, Bode BW, Kitabchi AE, Davidson PC, Jacobs S, Steed RD, Stentz F, Peng L, Mulligan P, Freire AX, Temponi A, Umpierrez GE.

J Hosp Med. 2010 Oct;5(8):432-7. doi: 10.1002/jhm.816.

17.

Computerized intensive insulin dosing can mitigate hypoglycemia and achieve tight glycemic control when glucose measurement is performed frequently and on time.

Juneja R, Roudebush CP, Nasraway SA, Golas AA, Jacobi J, Carroll J, Nelson D, Abad VJ, Flanders SJ.

Crit Care. 2009;13(5):R163. doi: 10.1186/cc8129. Epub 2009 Oct 12.

18.

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. Epub 2011 Jun 2.

PMID:
21640613
19.

Overnight closed-loop insulin delivery with model predictive control: assessment of hypoglycemia and hyperglycemia risk using simulation studies.

Wilinska ME, Budiman ES, Taub MB, Elleri D, Allen JM, Acerini CL, Dunger DB, Hovorka R.

J Diabetes Sci Technol. 2009 Sep 1;3(5):1109-20.

20.

Prolonged nocturnal hypoglycemia is common during 12 months of continuous glucose monitoring in children and adults with type 1 diabetes.

Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group.

Diabetes Care. 2010 May;33(5):1004-8. doi: 10.2337/dc09-2081. Epub 2010 Mar 3.

Supplemental Content

Support Center