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Record W2294520953 · doi:10.14740/jnr.v6i1.376

Apnea Testing for the Determination of Brain Death in Patients Supported by Extracorporeal Membrane Oxygenation

2016· article· en· W2294520953 on OpenAlexvenueno aff
Murad Talahma, Michael DeGeorgia

Bibliographic record

VenueJournal of Neurology Research · 2016
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineExtracorporeal membrane oxygenationApneaAnesthesiaComa (optics)Cardiogenic shockPulseless electrical activityMembrane oxygenatorNeurologyResuscitationCardiopulmonary resuscitationCardiology

Abstract

fetched live from OpenAlex

The neurological criteria for brain death include coma, absent brain stem reflexes, and apnea. For patients on extracorporeal membrane oxygenation (ECMO), routine apnea testing is not possible because gas exchange occurs entirely through the membrane oxygenator. We describe the protocol we used to perform the apnea test and declare brain death in a patient on ECMO and review the literature of brain death testing in patients on ECMO. A 39-year-old female presented with cardiogenic shock followed by pulseless electrical activity (PEA) and eventually started on veno-arterial (VA) ECMO. Neurology was consulted for prognostication. Initial exam 48 hours after arrest showed absent brain stem reflexes. Another neurological exam 72 hours after arrest was compatible with brain death, so apnea test was performed. The apnea test involved preoxygenation, then she was disconnected from ventilator and the gas sweep rate decreased to 1 L/minute while maintaining the same blood flow rate. At 10 minutes, the PCO 2 level needed to declare brain death was achieved. With increasing use of ECMO to support critically ill patients, physicians should become familiar with the challenges this technology has created when testing for apnea in the determination of brain death. In this case report, we showed that apnea testing can be done in patients on ECMO without the need for ancillary testing. The mainstay of performing apnea testing on these patients is decreasing the gas sweep rate to 0.5 - 1 L/minute while maintaining the same blood flow rate. J Neurol Res. 2016;6(1):28-34 doi: http://dx.doi.org/10.14740/jnr376w

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.240

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.081
GPT teacher head0.374
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

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