Literature DB >> 24717465

Predicting neurologic outcome after targeted temperature management for cardiac arrest: systematic review and meta-analysis.

Eyal Golan1, Kali Barrett, Aziz S Alali, Abhijit Duggal, Draga Jichici, Ruxandra Pinto, Laurie Morrison, Damon C Scales.   

Abstract

OBJECTIVES: Targeted temperature management improves survival and neurologic outcomes for adult out-of-hospital cardiac arrest survivors but may alter the accuracy of tests for predicting neurologic outcome after cardiac arrest. DATA SOURCES: We systematically searched Medline, Embase, CINAHL, and CENTRAL from database inception to September 2012. STUDY SELECTION: Citations were screened for studies that examined diagnostic tests to predict poor neurologic outcome or death following targeted temperature management in adult cardiac arrest survivors. DATA EXTRACTION: Data on study outcomes and quality were abstracted in duplicate. We constructed contingency tables for each diagnostic test and calculated sensitivity, specificity, and positive and negative likelihood ratios. DATA SYNTHESIS: Of 2,737 citations, 20 studies (n = 1,845) met inclusion criteria. Meta-analysis showed that three tests accurately predicted poor neurologic outcome with low false-positive rates: bilateral absence of pupillary reflexes more than 24 hours after a return of spontaneous circulation (false-positive rate, 0.02; 95% CI, 0.01-0.06; summary positive likelihood ratio, 10.45; 95% CI, 3.37-32.43), bilateral absence of corneal reflexes more than 24 hours (false-positive rate, 0.04; 95% CI, 0.01-0.09; positive likelihood ratio, 6.8; 95% CI, 2.52-18.38), and bilateral absence of somatosensory-evoked potentials between days 1 and 7 (false-positive rate, 0.03; 95% CI, 0.01-0.07; positive likelihood ratio, 12.79; 95% CI, 5.35-30.62). False-positive rates were higher for a Glasgow Coma Scale motor score showing extensor posturing or worse (false-positive rate, 0.09; 95% CI, 0.06-0.13; positive likelihood ratio, 7.11; 95% CI, 5.01-10.08), unfavorable electroencephalogram patterns (false-positive rate, 0.07; 95% CI, 0.04-0.12; positive likelihood ratio, 8.85; 95% CI, 4.87-16.08), myoclonic status epilepticus (false-positive rate, 0.05; 95% CI, 0.02-0.11; positive likelihood ratio, 5.58; 95% CI, 2.56-12.16), and elevated neuron-specific enolase (false-positive rate, 0.12; 95% CI, 0.06-0.23; positive likelihood ratio, 4.14; 95% CI, 1.82-9.42). The specificity of available tests improved when these were performed beyond 72 hours. Data on neuroimaging, biomarkers, or combination testing were limited and inconclusive.
CONCLUSION: Simple bedside tests and somatosensory-evoked potentials predict poor neurologic outcome for survivors of cardiac arrest treated with targeted temperature management, and specificity improves when performed beyond 72 hours. Clinicians should use caution with these predictors as they carry the inherent risk of becoming self-fulfilling.

Entities:  

Mesh:

Year:  2014        PMID: 24717465     DOI: 10.1097/CCM.0000000000000335

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  26 in total

1.  The Race Is On: Early Determination of Neuroprognosis After Cardiac Arrest.

Authors:  Jon C Rittenberger; Tomas Drabek
Journal:  Circulation       Date:  2015-08-12       Impact factor: 29.690

2.  Prognostication following cardiac arrest: do we have our patients' safety in mind?*.

Authors:  Romergryko G Geocadin; Santosh B Murthy
Journal:  Crit Care Med       Date:  2014-08       Impact factor: 7.598

Review 3.  Neurological Prognostication After Cardiac Arrest in the Era of Target Temperature Management.

Authors:  Maximiliano A Hawkes; Alejandro A Rabinstein
Journal:  Curr Neurol Neurosci Rep       Date:  2019-02-09       Impact factor: 5.081

4.  Estimating the False Positive Rate of Absent Somatosensory Evoked Potentials in Cardiac Arrest Prognostication.

Authors:  Edilberto Amorim; Mohammad M Ghassemi; Jong W Lee; David M Greer; Peter W Kaplan; Andrew J Cole; Sydney S Cash; Matthew T Bianchi; M Brandon Westover
Journal:  Crit Care Med       Date:  2018-12       Impact factor: 7.598

Review 5.  Prognostic Value of EEG in Patients after Cardiac Arrest-An Updated Review.

Authors:  Wolfgang Muhlhofer; Jerzy P Szaflarski
Journal:  Curr Neurol Neurosci Rep       Date:  2018-03-10       Impact factor: 5.081

Review 6.  Neurological prognostication after cardiac arrest.

Authors:  Claudio Sandroni; Romergryko G Geocadin
Journal:  Curr Opin Crit Care       Date:  2015-06       Impact factor: 3.687

7.  Multimodal Outcome Prognostication After Cardiac Arrest and Targeted Temperature Management: Analysis at 36 °C.

Authors:  Spyridoula Tsetsou; Jan Novy; Christian Pfeiffer; Mauro Oddo; Andrea O Rossetti
Journal:  Neurocrit Care       Date:  2018-02       Impact factor: 3.210

Review 8.  Prognostic value of electroencephalography (EEG) for brain injury after cardiopulmonary resuscitation.

Authors:  Guibo Feng; Guohui Jiang; Zhiwei Li; Xuefeng Wang
Journal:  Neurol Sci       Date:  2016-01-18       Impact factor: 3.307

Review 9.  Early prognostication markers in cardiac arrest patients treated with hypothermia.

Authors:  M Karapetkova; M A Koenig; X Jia
Journal:  Eur J Neurol       Date:  2015-07-31       Impact factor: 6.089

10.  Group-Based Trajectory Modeling of Suppression Ratio After Cardiac Arrest.

Authors:  Jonathan Elmer; John J Gianakas; Jon C Rittenberger; Maria E Baldwin; John Faro; Cheryl Plummer; Lori A Shutter; Christina L Wassel; Clifton W Callaway; Anthony Fabio
Journal:  Neurocrit Care       Date:  2016-12       Impact factor: 3.210

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