Literature DB >> 25349023

Evolution of insulin sensitivity and its variability in out-of-hospital cardiac arrest (OHCA) patients treated with hypothermia.

Azurahisham Sah Pri1, J Geoffrey Chase2, Christopher G Pretty3, Geoffrey M Shaw4, Jean-Charles Preiser5, Jean-Louis Vincent6, Mauro Oddo7, Fabio S Taccone8, Sophie Penning9, Thomas Desaive10.   

Abstract

INTRODUCTION: Therapeutic hypothermia (TH) is often used to treat out-of-hospital cardiac arrest (OHCA) patients who also often simultaneously receive insulin for stress-induced hyperglycaemia. However, the impact of TH on systemic metabolism and insulin resistance in critical illness is unknown. This study analyses the impact of TH on metabolism, including the evolution of insulin sensitivity (SI) and its variability, in patients with coma after OHCA.
METHODS: This study uses a clinically validated, model-based measure of SI. Insulin sensitivity was identified hourly using retrospective data from 200 post-cardiac arrest patients (8,522 hours) treated with TH, shortly after admission to the intensive care unit (ICU). Blood glucose and body temperature readings were taken every one to two hours. Data were divided into three periods: 1) cool (T <35°C); 2) an idle period of two hours as normothermia was re-established; and 3) warm (T >37°C). A maximum of 24 hours each for the cool and warm periods was considered. The impact of each condition on SI is analysed per cohort and per patient for both level and hour-to-hour variability, between periods and in six-hour blocks.
RESULTS: Cohort and per-patient median SI levels increase consistently by 35% to 70% and 26% to 59% (P <0.001) respectively from cool to warm. Conversely, cohort and per-patient SI variability decreased by 11.1% to 33.6% (P <0.001) for the first 12 hours of treatment. However, SI variability increases between the 18th and 30th hours over the cool to warm transition, before continuing to decrease afterward.
CONCLUSIONS: OCHA patients treated with TH have significantly lower and more variable SI during the cool period, compared to the later warm period. As treatment continues, SI level rises, and variability decreases consistently except for a large, significant increase during the cool to warm transition. These results demonstrate increased resistance to insulin during mild induced hypothermia. Our study might have important implications for glycaemic control during targeted temperature management.

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Year:  2014        PMID: 25349023      PMCID: PMC4234829          DOI: 10.1186/s13054-014-0586-x

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


  29 in total

Review 1.  Therapeutic hypothermia after cardiac arrest.

Authors:  P Eisenburger; F Sterz; M Holzer; A Zeiner; W Scheinecker; C Havel; H Losert
Journal:  Curr Opin Crit Care       Date:  2001-06       Impact factor: 3.687

Review 2.  Tight glycemic control in critical care--the leading role of insulin sensitivity and patient variability: a review and model-based analysis.

Authors:  J Geoffrey Chase; Aaron J Le Compte; Fatanah Suhaimi; Geoffrey M Shaw; Adrienne Lynn; Jessica Lin; Christopher G Pretty; Normy Razak; Jacquelyn D Parente; Christopher E Hann; Jean-Charles Preiser; Thomas Desaive
Journal:  Comput Methods Programs Biomed       Date:  2010-12-09       Impact factor: 5.428

3.  A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients.

Authors:  Jessica Lin; Normy N Razak; Christopher G Pretty; Aaron Le Compte; Paul Docherty; Jacquelyn D Parente; Geoffrey M Shaw; Christopher E Hann; J Geoffrey Chase
Journal:  Comput Methods Programs Biomed       Date:  2011-02-01       Impact factor: 5.428

4.  Post-cardiac arrest syndrome: epidemiology, pathophysiology, treatment, and prognostication. A consensus statement from the International Liaison Committee on Resuscitation (American Heart Association, Australian and New Zealand Council on Resuscitation, European Resuscitation Council, Heart and Stroke Foundation of Canada, InterAmerican Heart Foundation, Resuscitation Council of Asia, and the Resuscitation Council of Southern Africa); the American Heart Association Emergency Cardiovascular Care Committee; the Council on Cardiovascular Surgery and Anesthesia; the Council on Cardiopulmonary, Perioperative, and Critical Care; the Council on Clinical Cardiology; and the Stroke Council.

Authors:  Robert W Neumar; Jerry P Nolan; Christophe Adrie; Mayuki Aibiki; Robert A Berg; Bernd W Böttiger; Clifton Callaway; Robert S B Clark; Romergryko G Geocadin; Edward C Jauch; Karl B Kern; Ivan Laurent; W T Longstreth; Raina M Merchant; Peter Morley; Laurie J Morrison; Vinay Nadkarni; Mary Ann Peberdy; Emanuel P Rivers; Antonio Rodriguez-Nunez; Frank W Sellke; Christian Spaulding; Kjetil Sunde; Terry Vanden Hoek
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Review 5.  Alterations in fuel metabolism in critical illness: hyperglycaemia.

Authors:  B A Mizock
Journal:  Best Pract Res Clin Endocrinol Metab       Date:  2001-12       Impact factor: 4.690

6.  Integral-based parameter identification for long-term dynamic verification of a glucose-insulin system model.

Authors:  Christopher E Hann; J Geoffrey Chase; Jessica Lin; Thomas Lotz; Carmen V Doran; Geoffrey M Shaw
Journal:  Comput Methods Programs Biomed       Date:  2005-03       Impact factor: 5.428

7.  Association between hyperglycemia and increased hospital mortality in a heterogeneous population of critically ill patients.

Authors:  James Stephen Krinsley
Journal:  Mayo Clin Proc       Date:  2003-12       Impact factor: 7.616

8.  Effect of intensive insulin therapy on insulin sensitivity in the critically ill.

Authors:  Lies Langouche; Sarah Vander Perre; Pieter J Wouters; André D'Hoore; Troels Krarup Hansen; Greet Van den Berghe
Journal:  J Clin Endocrinol Metab       Date:  2007-07-31       Impact factor: 5.958

9.  Variability of insulin sensitivity during the first 4 days of critical illness: implications for tight glycemic control.

Authors:  Christopher G Pretty; Aaron J Le Compte; J Geoffrey Chase; Geoffrey M Shaw; Jean-Charles Preiser; Sophie Penning; Thomas Desaive
Journal:  Ann Intensive Care       Date:  2012-06-15       Impact factor: 6.925

10.  Pilot proof of concept clinical trials of Stochastic Targeted (STAR) glycemic control.

Authors:  Alicia Evans; Geoffrey M Shaw; Aaron Le Compte; Chia-Siong Tan; Logan Ward; James Steel; Christopher G Pretty; Leesa Pfeifer; Sophie Penning; Fatanah Suhaimi; Matthew Signal; Thomas Desaive; J Geoffrey Chase
Journal:  Ann Intensive Care       Date:  2011-09-19       Impact factor: 6.925

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2.  The Relationship Between the Decreased Rate of Initial Blood Glucose and Neurologic Outcomes in Survivors of Out-of-Hospital Cardiac Arrest Receiving Therapeutic Hypothermia.

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5.  Adverse events associated with poor neurological outcome during targeted temperature management and advanced critical care after out-of-hospital cardiac arrest.

Authors:  Young-Min Kim; Chun Song Youn; Soo Hyun Kim; Byung Kook Lee; In Soo Cho; Gyu Chong Cho; Kyung Woon Jeung; Sang Hoon Oh; Seung Pill Choi; Jong Hwan Shin; Kyoung-Chul Cha; Joo Suk Oh; Hyeon Woo Yim; Kyu Nam Park
Journal:  Crit Care       Date:  2015-07-22       Impact factor: 9.097

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Authors:  Vincent Uyttendaele; Jennifer L Dickson; Geoffrey M Shaw; Thomas Desaive; J Geoffrey Chase
Journal:  Crit Care       Date:  2017-06-24       Impact factor: 9.097

7.  Hypothermia Promotes Interleukin-22 Expression and Fine-Tunes Its Biological Activity.

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Journal:  Front Immunol       Date:  2017-06-29       Impact factor: 7.561

Review 8.  Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them.

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Journal:  Biomed Eng Online       Date:  2018-02-20       Impact factor: 2.819

9.  Estimating Enhanced Endogenous Glucose Production in Intensive Care Unit Patients with Severe Insulin Resistance.

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