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.
about
Computerized advice on drug dosage to improve prescribing practiceGlycemic variability and glycemic control in the acutely ill cardiac patientThe future is now: software-guided intensive insulin therapy in the critically illContinuous glucose monitoring in insulin-treated patients in non-ICU settingsPilot studies of transdermal continuous glucose measurement in outpatient diabetic patients and in patients during and after cardiac surgery.Nurse-led implementation of an insulin-infusion protocol in a general intensive care unit: improved glycaemic control with increased costs and risk of hypoglycaemia signals need for algorithm revision.A benchmark data set for model-based glycemic control in critical careSocial, organizational, and contextual characteristics of clinical decision support systems for intensive insulin therapy: a literature review and case studyFeasibility of fully automated closed-loop glucose control using continuous subcutaneous glucose measurements in critical illness: a randomized controlled trial.What makes tight glycemic control tight? The impact of variability and nutrition in two clinical studies.Systems engineering medicine: engineering the inflammation response to infectious and traumatic challenges.Glucose control in intensive care: usability, efficacy and safety of Space GlucoseControl in two medical European intensive care unitsPostprandial glycemic excursions with the use of a closed-loop platform in subjects with type 1 diabetes: a pilot study.Implementing glucose control in intensive care: a multicenter trial using statistical process control.A stepwise approach toward closed-loop blood glucose control for intensive care unit patients: results from a feasibility study in type 1 diabetic subjects using vascular microdialysis with infrared spectrometry and a model predictive control algoriPhysiological modeling, tight glycemic control, and the ICU clinician: what are models and how can they affect practice?Tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol.Second pilot trials of the STAR-Liege protocol for tight glycemic control in critically ill patients.Computer-based insulin infusion protocol improves glycemia control over manual protocol.Pilot study of the SPRINT glycemic control protocol in a Hungarian medical intensive care unit.Glycemic penalty index for adequately assessing and comparing different blood glucose control algorithmsEvaluation of a Nurse-Managed Insulin Infusion Protocol.Implementation and evaluation of the SPRINT protocol for tight glycaemic control in critically ill patients: a clinical practice change.Evaluation of point-of-care glucose testing accuracy using locally-smoothed median absolute difference curvesComparison of three protocols for tight glycemic control in cardiac surgery patients.Assessing the performance of handheld glucose testing for critical careEffectiveness of Intravenous Infusion Algorithms for Glucose Control in Diabetic Patients Using Different Simulation Models.A systematic review on quality indicators for tight glycaemic control in critically ill patients: need for an unambiguous indicator reference subsetAn automated discontinuous venous blood sampling system for ex vivo glucose determination in humansA comparison of two insulin infusion protocols in the medical intensive care unit by continuous glucose monitoring.Health technology assessment review: Computerized glucose regulation in the intensive care unit--how to create artificial control.Artificial pancreas: an emerging approach to treat Type 1 diabetes.Parenteral glucose and glucose control in the critically ill: a kinetic appraisal.Essential elements of the native glucoregulatory system, which, if appreciated, may help improve the function of glucose controllers in the intensive care unit setting.Toward closing the loop: an update on insulin pumps and continuous glucose monitoring systems.Metrology in medicine: from measurements to decision, with specific reference to anesthesia and intensive care.How could we make nutrition in the intensive care unit simple?The use of continuous glucose monitoring combined with computer-based eMPC algorithm for tight glucose control in cardiosurgical ICU.Comparison of Space Glucose Control and Routine Glucose Management Protocol for Glycemic Control in Critically Ill Patients: A Prospective, Randomized Clinical Study.Evaluation of implementation of a fully automated algorithm (enhanced model predictive control) in an interacting infusion pump system for establishment of tight glycemic control in medical intensive care unit patients.
P2860
Q24202497-EF46548F-43A4-4407-9EBA-D98C70611013Q26821994-7E29FB3A-A53D-4CA6-9C75-BA12D931A666Q26864579-08536337-6927-46E7-A3DB-F5A79DA6A0AFQ27001160-7BC80F6B-B202-4AE2-B512-000325848D4FQ30485513-11893AC8-6BA5-410A-956C-49800D5B8F88Q33315471-F35B840F-59CB-4755-8007-EA0644097588Q33514624-A6C7A28F-723C-45B0-9E38-782E31113B14Q33638034-B6B55A4E-D7BF-4D19-A37B-4D802B530D50Q33750788-D302674C-1773-4310-BC81-53FEC05502F1Q33828220-7BE161C0-4F9F-4229-8D57-DDD3D8F2A1B7Q33891519-744DD695-C543-462D-B58F-24E3951EA217Q33987913-0CB3C625-0194-4CCC-81EC-17FEC0AAED2EQ34018134-8C304D83-5B5C-48D2-8D12-DD05EFD515A8Q34080578-F4707036-CF6E-4219-BCE6-7EAFB3A5DFBCQ35336990-471AD209-7BD6-4D4D-BE06-3FEDA852FF6EQ35574033-7AE2B8C4-666A-4AE1-8519-077167FB8BADQ36392671-CDC0C6DA-A239-4AF5-91E8-6E35F2DDE02AQ36437298-F8B4DEE1-F53E-423C-880B-DA454034283AQ36463084-E5D8B557-6FB2-49B9-A07D-E9F1F03A2035Q36605843-B55794AA-C317-4332-991E-E142E5071989Q36641951-DCF2C8FC-FB4A-403C-8401-A57BEB95240BQ36730296-F24A601C-8113-4D6C-AAD2-47E5DFF7E94BQ36749096-FC855E15-5EAD-49C7-9C8C-B216085758B3Q37037213-5524C67A-6612-404F-B5F6-9B423606D789Q37163690-5225C103-7036-4201-BA04-3B72C9EE288EQ37219249-197B85AB-8AC3-4A05-944C-07AB6958AA62Q37321586-03FB0D2B-9BC0-463E-8382-F15020B9B459Q37327600-90DAFCA3-A6CC-418D-B0D4-E8381F97E856Q37404375-0249A8D8-225A-4AA2-AD0F-CF8BE2782261Q37430563-8BBDE87A-C2D9-41D5-BD39-C03EF3F9CEC0Q37443001-143ECB76-9524-4DCE-8505-8A292CFFD938Q37538736-679BCD3E-8577-4E51-BF04-3BE5E4AC0769Q37626450-2B1F7E73-E8CD-4B4D-83A0-2DB23DB918E5Q37694790-B56D1806-8405-4706-8979-FAD89482DCA7Q37781158-06C25C94-1B5F-4693-A57E-D9D5E4C6035BQ38334076-0F256D09-CCB1-4B87-BE52-38ED8088CFC5Q41222153-BBFF9628-76C9-49A4-8CA5-9081A665D065Q41241440-F0D6592F-A7D5-4148-B6AD-030C1A252F60Q41626489-3C386366-7BFC-46B2-B643-61D909D5D4E7Q41818040-C4E1B2EB-4158-4301-B2FA-BBD0AA0E8175
P2860
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.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Multicentric, randomized, cont ...... intensive care unit patients.
@en
Multicentric, randomized, cont ...... intensive care unit patients.
@nl
type
label
Multicentric, randomized, cont ...... intensive care unit patients.
@en
Multicentric, randomized, cont ...... intensive care unit patients.
@nl
prefLabel
Multicentric, randomized, cont ...... intensive care unit patients.
@en
Multicentric, randomized, cont ...... intensive care unit patients.
@nl
P2093
P50
P921
P1433
P1476
Multicentric, randomized, cont ...... intensive care unit patients.
@en
P2093
Andreas Plasnik
Cliff Morgan
Jaromir Kremen
Jeremy Cordingley
Johannes Plank
Ludovic J Chassin
Malgorzata E Wilinska
Martin Ellmerer
Thomas R Pieber
Wolfgang Toller
P304
P356
10.2337/DIACARE.29.02.06.DC05-1689
P407
P577
2006-02-01T00:00:00Z