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Record W2523311820 · doi:10.1097/aln.0000000000001255

In Cerebral Oximetry, Do We Trust?

2016· letter· en· W2523311820 on OpenAlexaboutno aff
Jean-Luc Fellahi, Philippe Portran

Bibliographic record

VenueAnesthesiology · 2016
Typeletter
Languageen
FieldMedicine
TopicOptical Imaging and Spectroscopy Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

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We read with a great interest the recent publication by Deschamps et al.1 for the Canadian Perioperative Anesthesia Clinical Trials Group. While the results of this randomized controlled study are quite encouraging and further highlight both the feasibility and the potential clinical utility of cerebral oximetry in the setting of cardiac surgery, several concerns should be outlined.First, the authors proposed a well-known algorithm to be used in the operating theater in order to reverse a cerebral desaturation below 10% relative to baseline. This notably low threshold value differs from those previously recommended and used by the same authors and others.2 Interestingly, an extracranial contamination affecting near-infrared spectro scopy measurements of cerebral oxygen saturation beyond 10% has been reported in healthy volunteers for at least two of the three near-infrared spectroscopy devices used in the current study.3 This last point could be of paramount importance and should be cleared up before conducting a large multicenter randomized controlled trial aiming to demonstrate a positive impact of preventing and treating cerebral desaturation on perioperative outcomes in high-risk surgical patients.Second, the proposed algorithm suggests the early correction of intraoperative hypotension. Besides, the assessment of cardiac function and optimization of cardiac output occur only as a second-line treatment. That seems quite questionable, as low flow states could be significantly correlated with cerebral oxygenation in cardiac surgery, regardless of systemic arterial pressure.4 In contrast, a decrease in pressure could not affect cerebral oxygen saturation.4 Moreover, phenylephrine and norepinephrine administration in order to correct hypotension have been associated with a further decrease in cerebral oxygenation.4,5Third, no difference was found in adverse events between the intervention and control groups in the study by Deschamps et al.,1 even if cerebral oximetry was far better preserved in patients randomized to intervention than routine care. Of course, we agree that the study was not designed to demonstrate such a positive impact on perioperative outcomes and that a large-scale multicenter randomized study is mandatory to answer that crucial issue. However, it is noteworthy that the current multicenter study including up to 201 patients was unable to confirm previous results reported by Murkin et al.6 in a randomized, prospective, and single-center study also including 200 patients, using a similar algorithm, and showing a significant reduction in major organ dysfunction in the intervention group (P = 0.048). Again, the definition of the targeted threshold value of cerebral oximetry initiating clinical interventions is probably crucial.In conclusion, we share the same enthusiasm as that of the authors regarding the potential interest of noninvasive cerebral oximetry in cardiac surgery. While waiting for a large, multicenter, randomized controlled trial definitely showing a benefit on meaningful clinical perioperative outcomes, we need to be cautious before recommending a wider use of this kind of monitoring in the setting of cardiac surgery.The authors declare no competing interests.

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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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.015
GPT teacher head0.302
Teacher spread0.286 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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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