Literature DB >> 26583890

Evaluation of a Nurse-Managed Insulin Infusion Protocol.

Andrea J Passarelli1, Haley Gibbs2, Annette M Rowden3, Leigh Efird4, Elizabeth Zink5, Nestoras Mathioudakis6.   

Abstract

BACKGROUND: The purpose of this study was to evaluate the performance of an insulin infusion protocol targeting a blood glucose (BG) level of 140-180 mg/dL and to characterize protocol adherence.
MATERIALS AND METHODS: This was a retrospective observational cohort study including patients for whom the protocol was ordered from January 2012 to May 2013. Performance metrics were assessed in all patients and in patients with an initial BG level of ≥200 mg/dL. Protocol adherence was assessed in a random subset of 50 patients without hypoglycemia and in all hypoglycemic patients.
RESULTS: In patients with an initial BG level of ≥200 mg/dL, the mean time to goal was 7.1 h. The rate of decline of BG level in the first 6 h was 16.4 mg/dL/h. Mean BG level was 167 mg/dL, with 43.9% of BG values within goal and 80.3% between 80 and 199 mg/dL. The rate of hypoglycemic events was 0.14 per 100 h. The mean protocol violation rate was higher in patients with hypoglycemia compared with those without (39.8 vs. 23.5 per 100 h, P = 0.002), and 60.7% of hypoglycemic events were attributable to protocol violations. The protocol violation rate (42.8 vs. 17.6 per 100 h; P < 0.001) and the odds of hypoglycemia (odds ratio = 5.2; 95% confidence interval, 1.6, 16.5) were higher in the cardiac surgery patients compared with other patients.
CONCLUSIONS: This protocol provides adequate BG control within the clinically acceptable range of 80-199 mg/dL but not within the narrower range of 140-180 mg/dL, with a low incidence of hypoglycemia. Risk factors for hypoglycemia and barriers to protocol adherence in the cardiac surgery population should be elucidated.

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Year:  2015        PMID: 26583890      PMCID: PMC4808278          DOI: 10.1089/dia.2015.0046

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  22 in total

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2.  Standards of medical care in diabetes--2014.

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3.  Adapting to the new consensus guidelines for managing hyperglycemia during critical illness: the updated Yale insulin infusion protocol.

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Journal:  Endocr Pract       Date:  2012 May-Jun       Impact factor: 3.443

Review 4.  Guidelines for the use of an insulin infusion for the management of hyperglycemia in critically ill patients.

Authors:  Judith Jacobi; Nicholas Bircher; James Krinsley; Michael Agus; Susan S Braithwaite; Clifford Deutschman; Amado X Freire; Douglas Geehan; Benjamin Kohl; Stanley A Nasraway; Mark Rigby; Karen Sands; Lynn Schallom; Beth Taylor; Guillermo Umpierrez; John Mazuski; Holger Schunemann
Journal:  Crit Care Med       Date:  2012-12       Impact factor: 7.598

5.  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.

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Journal:  Diabetes Care       Date:  2006-02       Impact factor: 19.112

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

Authors:  Christopher A Newton; Dawn Smiley; Bruce W Bode; Abbas E Kitabchi; Paul C Davidson; Sol Jacobs; R Dennis Steed; Frankie Stentz; Limin Peng; Patrick Mulligan; Amado X Freire; Angel Temponi; Guillermo E Umpierrez
Journal:  J Hosp Med       Date:  2010-10       Impact factor: 2.960

7.  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.

Authors:  Alexandre B Cavalcanti; Eliezer Silva; Adriano J Pereira; Milton Caldeira-Filho; Francisca P Almeida; Glauco A Westphal; Renate Beims; Caio C Fernandes; Thiago D Correa; Marcos R Gouvea; José Eluf-Neto
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8.  Intensive insulin therapy: enhanced Model Predictive Control algorithm versus standard care.

Authors:  Jeremy J Cordingley; Dirk Vlasselaers; Natalie C Dormand; Pieter J Wouters; Stephen D Squire; Ludovic J Chassin; Malgorzata E Wilinska; Clifford J Morgan; Roman Hovorka; Greet Van den Berghe
Journal:  Intensive Care Med       Date:  2008-07-26       Impact factor: 17.440

9.  Implementation of a safe and effective insulin infusion protocol in a medical intensive care unit.

Authors:  Philip A Goldberg; Mark D Siegel; Robert S Sherwin; Joshua I Halickman; Michelle Lee; Valerie A Bailey; Sandy L Lee; James D Dziura; Silvio E Inzucchi
Journal:  Diabetes Care       Date:  2004-02       Impact factor: 19.112

10.  Glucose control in intensive care: usability, efficacy and safety of Space GlucoseControl in two medical European intensive care units.

Authors:  Karin Amrein; Norman Kachel; Heike Fries; Roman Hovorka; Thomas R Pieber; Johannes Plank; Urs Wenger; Barbara Lienhardt; Marco Maggiorini
Journal:  BMC Endocr Disord       Date:  2014-07-29       Impact factor: 2.763

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  3 in total

Review 1.  Hypoglycemia Prevention by Algorithm Design During Intravenous Insulin Infusion.

Authors:  Susan Shapiro Braithwaite; Lisa P Clark; Thaer Idrees; Faisal Qureshi; Oluwakemi T Soetan
Journal:  Curr Diab Rep       Date:  2018-03-26       Impact factor: 4.810

2.  Optimal Blood Glucose Monitoring Interval for Insulin Infusion in Critically Ill Non-Cardiothoracic Patients: A Pilot Study.

Authors:  Amos Lal; Nurul Haque; Jennifer Lee; Sai Ramya Katta; Louise Maranda; Susan George; Nitin Trivedi
Journal:  Acta Biomed       Date:  2021-02-25

3.  Prospective evaluation of a dynamic insulin infusion algorithm for non critically-ill diabetic patients: A before-after study.

Authors:  Nathanaëlle Montanier; Lise Bernard; Céline Lambert; Bruno Pereira; Françoise Desbiez; Daniel Terral; Armand Abergel; Jérôme Bohatier; Eugenio Rosset; Jeannot Schmidt; Valérie Sautou; Samy Hadjadj; Marie Batisse-Lignier; Igor Tauveron; Salwan Maqdasy; Béatrice Roche
Journal:  PLoS One       Date:  2019-01-28       Impact factor: 3.240

  3 in total

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