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Record W4417179654 · doi:10.1186/s40635-025-00834-9

Veno-arterial CO2 content gradient and veno-arterial CO2 to arterial-venous O2 content ratio for outcome prediction after pediatric cardiac surgery: a prospective study

2025· article· en· W4417179654 on OpenAlexaff
Vladimir L. Cousin, Raphael Joye, Tomasz Nałęcz, Tornike Sologashvili, Maurice Beghetti, Cyril Jaksic, Julie Wacker, Angelo Polito

Bibliographic record

VenueIntensive Care Medicine Experimental · 2025
Typearticle
Languageen
FieldMedicine
TopicHemodynamic Monitoring and Therapy
Canadian institutionsHospital for Sick Children
FundersUniversité de Genève
KeywordsProspective cohort studyOutcome (game theory)Cardiac surgeryClinical trialMEDLINECardiac output

Abstract

fetched live from OpenAlex

Abstract Introduction CO 2 -derived variables, veno-arterial CO 2 content gradient (ΔCCO 2 ) and the ratio of ΔCCO 2 with arterio-venous oxygen difference (AV-DO 2 ) (ΔCCO2/AV-DO 2 ), may have a potential role as indicators of low cardiac output and anaerobic metabolism, respectively. We sought to describe and evaluate the association of CO 2 -derived variables with patients’ outcomes in the post cardiopulmonary bypass (CPB) period in children. Methods Prospective, single-center, study enrolling children post-CPB with paired arterial and venous blood gases for determination of lactate, O 2 extraction, ΔCCO 2 , and ΔCCO 2 /AV-DO 2 at admission (H0), and at 6 (H6), 12 (H12) and 24 (H24) hours. Different clinical patterns were defined based on the presence of an anaerobic context or a hypoperfusion context, using both O 2 and CO 2 -derived variables. The presence of anaerobic metabolism was defined with a lactate > 2 mmol/l and ΔCCO 2 /AV-DO 2 > 1.8; the presence of hypoperfusion was defined with an O 2 extraction > 30% and ΔCCO 2 > 6 mL. The potential association of duration of amine support and mechanical ventilation was tested with CO 2 -derived variables and specific clinical patterns. Results A total of 51 patients with a median age of 36 (IQR 11–85) months were included. Median admission ΔCCO 2 was 9.3 mL (IQR 5.6–11.4) with 72% above 6 mL. Median ΔCCO 2 /AV-DO 2 was 2.1 (IQR 1.5–2.4) with 58% above 1.8. Admission ΔCCO 2 showed a significant association with the duration of mechanical ventilation (R2 21.6, p value = 0.001) but not with the duration of vasoactive support. Neither H0 ΔCCO 2 nor H0 ΔCCO 2 /AV-DO 2 improved outcome prediction by a model including lactate and O 2 extraction. Anaerobic metabolism context showed a significant association with prolonged vasoactive support [28.4 (CI 95% 12.2–44.6) p = 0.001] and mechanical ventilation duration [1.4 (95% CI 0.62–2.3) p = 0.003]. In hypoperfusion context, neither duration of vasoactive support nor mechanical ventilation appeared different in the subgroups analysis. Conclusion CO 2 -derived variables may improve outcome prediction after cardiac surgery in pediatric patients. Further evaluation in larger multicentered trials is necessary to improve its validation.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
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 head0.037
GPT teacher head0.320
Teacher spread0.283 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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