Literature DB >> 21534731

Intensive insulin therapy in brain injury: a meta-analysis.

Syed Nabeel Zafar1, Aftab Iqbal, Mauricio F Farez, Suyog Kamatkar, Marc A de Moya.   

Abstract

Many studies have addressed the question of whether intensive insulin therapy (IIT) provides better outcomes for brain-injured patients than does conventional insulin therapy (CIT), with conflicting results. We performed a systematic review and meta-analysis of the literature to estimate the effect of IIT on patients with brain injury. We searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and citations of key articles and selected "all randomized controlled trials" (RCTs) comparing the effect of IIT to CIT among adult patients with acute brain injury (traumatic brain injury, stroke, subarachnoid hemorrhage, and encephalitis). Of the 2807 studies, we identified 9 RCTs with a total of 1160 patients for analysis. IIT did not appear to decrease the risk of in-hospital or late mortality (RR=1.04, 95% CI=0.75, 1.43 and RR=1.07, 95%CI=0.91, 1.27 respectively). No significant heterogeneity was found (I(2)=0.0%). IIT also did not have a protective effect on long-term neurological outcomes (LTNO) (RR=1.10, 95% CI=0.96, 1.27). IIT, however, did decrease the rate of infections (RR=0.76, 95% CI=0.58, 0.98). Heterogeneity was present (I(2)=64%), which was eliminated upon sensitivity analysis bringing the RR to 0.66 (95% CI=0.55, 0.80, I(2)=0%). IIT increased the rate of hypoglycemic episodes (RR=1.72, 95% CI=1.20, 2.46) however there was intractable heterogeneity present (I(2)=89%), which did not resolve upon sensitivity analysis. We found no evidence of publication bias by Egger's test (p=0.50). To conclude, IIT has no mortality or LTNO benefit to patients with brain injury, but is beneficial at decreasing infection rates.

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Year:  2011        PMID: 21534731     DOI: 10.1089/neu.2010.1724

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  11 in total

Review 1.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

Review 2.  Targeted treatment in severe traumatic brain injury in the age of precision medicine.

Authors:  Anthony A Figaji; A Graham Fieggen; Ncedile Mankahla; Nico Enslin; Ursula K Rohlwink
Journal:  Childs Nerv Syst       Date:  2017-08-14       Impact factor: 1.475

Review 3.  Critical care management of severe traumatic brain injury in adults.

Authors:  Samir H Haddad; Yaseen M Arabi
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2012-02-03       Impact factor: 2.953

4.  Beyond intracranial pressure: optimization of cerebral blood flow, oxygen, and substrate delivery after traumatic brain injury.

Authors:  Pierre Bouzat; Nathalie Sala; Jean-François Payen; Mauro Oddo
Journal:  Ann Intensive Care       Date:  2013-07-10       Impact factor: 6.925

5.  General intensive care for patients with traumatic brain injury: An update.

Authors:  Tumul Chowdhury; Stephen Kowalski; Yaseen Arabi; Hari Hara Dash
Journal:  Saudi J Anaesth       Date:  2014-04

6.  Power-up: A Reanalysis of 'Power Failure' in Neuroscience Using Mixture Modeling.

Authors:  Camilla L Nord; Vincent Valton; John Wood; Jonathan P Roiser
Journal:  J Neurosci       Date:  2017-07-13       Impact factor: 6.167

Review 7.  Glycaemic control targets after traumatic brain injury: a systematic review and meta-analysis.

Authors:  Jeroen Hermanides; Mark P Plummer; Mark Finnis; Adam M Deane; Jonathan P Coles; David K Menon
Journal:  Crit Care       Date:  2018-01-19       Impact factor: 9.097

8.  Optimal glycemic control in neurocritical care patients.

Authors:  Federico Bilotta; Giovanni Rosa
Journal:  Crit Care       Date:  2012-10-30       Impact factor: 9.097

Review 9.  Optimal glycemic control in neurocritical care patients: a systematic review and meta-analysis.

Authors:  Andreas H Kramer; Derek J Roberts; David A Zygun
Journal:  Crit Care       Date:  2012-10-22       Impact factor: 9.097

10.  On the detection of cerebral metabolic depression in experimental traumatic brain injury using Chemical Exchange Saturation Transfer (CEST)-weighted MRI.

Authors:  Tsang-Wei Tu; Wael G Ibrahim; Neekita Jikaria; Jeeva P Munasinghe; Jaclyn A Witko; Dima A Hammoud; Joseph A Frank
Journal:  Sci Rep       Date:  2018-01-12       Impact factor: 4.379

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