Evidence map›Paper›PMID 34812237›Full record

ArticleActa Cardiologica Sinica2021

Utilization of Amplitude-Integrated Electroencephalography to Predict Neurologic Function after Resuscitation in Adults with Cardiogenic Cardiac Arrest.

Cheng-I Wu, Pai-Feng Hsu, I-Hsin Lee, Yenn-Jiang Lin, Chun-Fu Lin, Ju-Pin Pan, Teh-Fu Hsu, Chorng-Kuang How, Shang-Yeong Kwan, Fa-Po Chung and 2 more

Open access · greenAbstract read
In one paragraph

Article in Acta Cardiologica Sinica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 76% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 3 countries.

Cheng-I WuDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital.
Pai-Feng HsuDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital.
I-Hsin LeeEmergency Department.
Yenn-Jiang LinDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital.
Chun-Fu LinDepartment of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei.
Ju-Pin PanDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital.
Teh-Fu HsuEmergency Department.
Chorng-Kuang HowEmergency Department.
Shang-Yeong KwanDepartment of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei.
Fa-Po ChungDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital.
Cheng-Hsueh WuDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital.
Shih-Ann ChenInstitute of Clinical Medicine, National Yang Ming Chiao Tung University.
Taipei Veterans General Hospital · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmplitude-integrated electroencephalography (aEEG) has been used as a tool to recognize brain activity in children with hypoxic encephalopathy.

objectivesTo assess the prognostic value of aEEG during the post-resuscitation period of adult cardiogenic cardiac arrest, comatose survivors were monitored within 24 h of a return of spontaneous circulation using aEEG.

methodsForty-two consecutive patients experiencing cardiac arrest were retrospectively enrolled, and a return of spontaneous circulation was achieved in all cases. These patients were admitted to the Coronary Intensive Care Unit due to cardiogenic cardiac arrest. The primary outcome was the best neurologic outcome within 6 months after resuscitation, and the registered patients were divided into two groups based on the Cerebral Performance Category (CPC) scale (CPC 1-2, good neurologic function group; CPC 3-5, poor neurologic function group). All patients received an aEEG examination within 24 h after a return of spontaneous circulation, and the parameters and patterns of aEEG recordings were compared.

resultsNineteen patients were in the good neurologic function group, and 23 were in the poor group. The four voltage parameters (minimum, maximum, span, average) of the aEEG recordings in the good neurologic function groups were significantly higher than in the poor group. Moreover, the continuous pattern, but not the status epilepticus or burst suppression patterns, could predict mid-term good neurologic function.

conclusionsaEEG can be used to predict neurologic outcomes based on the recordings' parameters and patterns in unconscious adults who have experienced a cardiac collapse, resuscitation, and return of spontaneous circulation.

Indexed as

Amplitude-integrated electroencephalographyCardiogenic cardiac arrestNeuromonitoringResuscitationReturn of spontaneous circulationTargeted temperature management

Identifiers

PMID34812237
PMCPMC8593491
OpenAlexW3214905407

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.