Evidence map›Paper›PMID 39285376›Full record

ArticleBMC pulmonary medicine2024

Detection of spontaneous breathing during an apnea test in a patient with suspected brain death using electrical impedance tomography: a case report.

Rongqing Chen, András Lovas, Péter Bakos, Tamás Molnár, Fatime Hawchar, Balázs Benyó, Zhanqi Zhao, J Geoffrey Chase, Stefan J Rupitsch, Knut Moeller

Abstract readCase Reports
In one paragraph

Article in BMC pulmonary medicine, 2024. 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
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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.

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

10 authors.

Rongqing ChenInstitute of Technical Medicine, Hochschule Furtwangen, Jakob-Kienzle-Str. 17, Villingen-Schwenningen, 78054, Germany. rongqing.chen@hs-furtwangen.de.
András LovasDepartment of Anaesthesiology and Intensive Therapy, Kiskunhalas Semmelweis Hospital, Teaching Hospital of the University of Szeged, Dr. Monszpart László u. 1, Kiskunhalas, 6400, Hungary.
Péter BakosDepartment of Anesthesiology and Intensive Therapy, Csolnoky Ferenc Hospital, Kórház u. 1, Veszprém, 8200, Hungary.
Tamás MolnárDepartment of Anesthesiology and Intensive Therapy, University of Szeged, Semmelweis u. 6, Szeged, 6725, Hungary.
Fatime HawcharDepartment of Anesthesiology and Intensive Therapy, Budapesti Dr. Manninger Jenő Traumatology Center, Fiumei út 17, Budapest, 1080, Hungary.
Balázs BenyóDepartment of Control Engineering and Information Technology, Faculty of Electrical Engineering and Information Technology, Budapest University of Technology and Economics, Muegyetem rkp. 3, Budapest, 1111, Hungary.
Zhanqi ZhaoInstitute of Technical Medicine, Hochschule Furtwangen, Jakob-Kienzle-Str. 17, Villingen-Schwenningen, 78054, Germany.
J Geoffrey ChaseDepartment of Mechanical Engineering, University of Canterbury, 69 Creyke Road, Christchurch, 8041, New Zealand.
Stefan J RupitschDepartment of Microsystems Engineering (IMTEK), Faculty of Engineering, University of Freiburg, Georges-Köhler-Allee 101, Freiburg, 79110, Germany.
Knut MoellerInstitute of Technical Medicine, Hochschule Furtwangen, Jakob-Kienzle-Str. 17, Villingen-Schwenningen, 78054, Germany.

Funding

Bundesministerium für Gesundheit ERA PerMED 2522FSB903H2020 Marie Skłodowska-Curie Actions Rise DCPM 872488National Research, Development and Innovation Office OTKA K137995
6 · The paper itself

Abstract

introductionThe apnea test (AT) is a crucial procedure in determining brain death (BD), with detection of spontaneous breathing efforts serving as a key criterion. Numerous national statutes mandate complete disconnection of the patient from the ventilator during the procedure to open the airway directly to the atmosphere. These regulations mandate visual observation as an exclusive option for detecting breathing efforts. However, reliance on visual observation alone can pose challenges in identifying subtle respiratory movements. CASE PRESENTATION: This case report presents a 55-year-old morbidly obese male patient with suspected BD due to cerebral hemorrhage undergoing an AT. The AT was performed with continuous electrical impedance tomography (EIT) monitoring. Upon detection of spontaneous breathing movements by both visual observation and EIT, the AT was aborted, and the patient was reconnected to the ventilator. EIT indicated a shift in ventilation distribution from the ventral to the dorsal regions, indicating the presence of spontaneous breathing efforts. EIT results also suggested the patient experienced a slow but transient initial recovery phase, likely due to atelectasis induced by morbid obesity, before returning to a steady state of ventilatory support.

conclusionThe findings suggest EIT could enhance the sensitivity and accuracy of detecting spontaneous breathing efforts, providing additional insights into the respiratory status of patients during the AT.

Indexed as

ApneaBrain DeathElectric ImpedanceObesity, MorbidTomographyCerebral HemorrhageHumansMaleMiddle AgedRespirationApnea testAtelectasisBrain deathCase reportElectrical impedance tomographyMonitoring

Identifiers

PMID39285376
PMCPMC11406830

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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.