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Record W4384937354 · doi:10.1016/j.isci.2023.107429

Methemoglobin as a marker of acute anemic stress in cardiac surgery

2023· article· en· W4384937354 on OpenAlexafffund
Nikhil Mistry, Gregory M. T. Hare, Nadine Shehata, Robert S. Kramer, Hosam Fawzy, Robert A. Baker, Paula Carmona, Richard Saczkowski, Daniela Filipescu, Christella S. Alphonsus, Antoine Rochon, Alexander J. Gregory, Boris Khanykin, Jonathan Leff, Eva Mateo, Dimos Karangelis, J.C. Téllez, Tarit Saha, Dennis T. Ko, Duminda N. Wijeysundera, Subodh Verma, C. David Mazer

Bibliographic record

VenueiScience · 2023
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsHealth Sciences CentreLibin Cardiovascular Institute of AlbertaUniversity of CalgaryKingston General HospitalKelowna General HospitalMontreal Heart InstituteSunnybrook Health Science CentreSinai Health SystemUniversity of TorontoSt. Michael's Hospital
FundersErasmus+National Health and Medical Research CouncilMedical Research CouncilCanadian Institutes of Health ResearchNational Institutes of HealthUniversity of TorontoCanadian Blood ServicesHealth Research Council of New ZealandEdwards Lifesciences
KeywordsMedicineMethemoglobinCardiac surgeryPerioperativeLeukoreductionAnemiaHemoglobinCardiopulmonary bypassBiomarkerStroke (engine)Myocardial infarctionAnesthesiaHaptoglobinErythropoietinCardiologyInternal medicineBlood transfusion

Abstract

fetched live from OpenAlex

Biological evidence supports plasma methemoglobin as a biomarker for anemia-induced tissue hypoxia. In this translational planned substudy of the multinational randomized controlled transfusion thresholds in cardiac surgery (TRICS-III) trial, which included adults undergoing cardiac surgery requiring cardiopulmonary bypass with a moderate-to-high risk of death, we investigated the relationship between perioperative hemoglobin concentration (Hb) and methemoglobin; and evaluated its association with postoperative outcomes. The primary endpoint was a composite of death, myocardial infarction, stroke, and severe acute kidney injury at 28 days. We observe weak non-linear associations between decreasing Hb and increasing methemoglobin, which were strongest in magnitude at the post-surgical time point. Increased levels of post-surgical methemoglobin were associated with a trend toward an elevated risk for stroke and exploratory neurological outcomes. Our generalizable study demonstrates post-surgical methemoglobin may be a marker of anemia-induced organ injury/dysfunction, and may have utility for guiding personalized approaches to anemia management. Clinicaltrials.gov registration NCT02042898.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.408
Threshold uncertainty score0.180

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.292
Teacher spread0.272 · 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

Citations4
Published2023
Admission routes2
Has abstractyes

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