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  3. Auditory discrimination improvement predicts awakening of postanoxic comatose patients treated with targeted temperature management at 36°C.
 

Auditory discrimination improvement predicts awakening of postanoxic comatose patients treated with targeted temperature management at 36°C.

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BORIS DOI
10.7892/boris.102114
Publisher DOI
10.1016/j.resuscitation.2017.07.012
PubMed ID
28713043
Description
BACKGROUND

Outcome prognostication in postanoxic comatose patients is more accurate in predicting poor than good recovery. Using electroencephalography recordings in patients treated with targeted temperature management at 33°C (TTM 33), we have previously shown that improvement in auditory discrimination over the first days of coma predicted awakening. Given the increased application of a 36°C temperature target (TTM 36), here we aimed at validating the predictive value of auditory discrimination in the TTM 36 setting.

METHODS

In this prospective multicenter study, we analyzed the EEG responses to auditory stimuli from 60 consecutive patients from the first and second coma day. A semiautomatic decoding analysis was applied to single patient data to quantify discrimination performance between frequently repeated and deviant sounds. The decoding change from the first to second day was used for predicting patient outcome.

RESULTS

We observed an increase in auditory discrimination in 25 out of 60 patients. Among them, 17 awoke from coma (68% positive predictive value; 95% confidence interval: 0.46-0.85). By excluding patients with electroencephalographic epileptiform features, 15 of 18 exhibited improvement in auditory discrimination (83% positive predictive value; 95% confidence interval: 0.59-0.96). Specificity of good outcome prediction increased after adding auditory discrimination to EEG reactivity.

CONCLUSION

These results suggest that tracking of auditory discrimination over time is informative of good recovery independent of the temperature target. This quantitative test provides complementary information to existing clinical tools by identifying patients with high chances of recovery and encouraging the maintenance of life support.
Date of Publication
2017-09
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Keyword(s)
Cardiac arrest EEG coma mismatch negativity multivariate decoding targeted temperature management
Language(s)
en
Contributor(s)
Pfeiffer, Christian
Nguissi, Nathalie Ata Nguepno
Chytiris, Magali
Bidlingmeyer, Phanie
Hänggi, Matthiasorcid-logo
Universitätsklinik für Intensivmedizin
Kurmann, Rebekka
Universitätsklinik für Neurologie
Zubler, Frédéric
Departement Klinische Forschung, Forschungsgruppe Neurologie
Universitätsklinik für Neurologie
Oddo, Mauro
Rossetti, Andrea O
De Lucia, Marzia
Additional Credits
Universitätsklinik für Intensivmedizin
Universitätsklinik für Neurologie
Departement Klinische Forschung, Forschungsgruppe Neurologie
Series
Resuscitation
Publisher
Elsevier Science Ireland
ISSN
0300-9572
Access(Rights)
restricted
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