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Record W4405528170 · doi:10.1186/s40001-024-02156-0

Unmasking culprits: novel analysis identifies complement factors as potential therapeutic targets to mitigate inflammation during children's heart surgery

2024· article· en· W4405528170 on OpenAlexafffund
Joel Bierer, Roger Stanzel, Mark Henderson, John L. Sapp, Pantelis Andreou, Jean S. Marshall, David Horné

Bibliographic record

VenueEuropean journal of medical research · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsNova Scotia Health AuthorityDalhousie University
FundersIWK Health CentreDepartment of Health, Western Cape GovernmentKillam TrustsDalhousie UniversityResearch Nova ScotiaNova Scotia Department of Health and WellnessDalhousie Medical Research Foundation
KeywordsMedicineOrgan dysfunctionCardiopulmonary bypassSepsisSystemic inflammationInflammationCardiac surgeryMahalanobis distanceChemokineMechanical ventilationInternal medicineCardiology

Abstract

fetched live from OpenAlex

Abstract Background Cardiopulmonary bypass (CPB) causes systemic inflammation during pediatric cardiac surgery, which can contribute to post-operative organ dysfunction and prolonged recovery. This study aims to identify key inflammatory mediators related to this clinically significant immunologic response. Methods Pediatric patients were enrolled in a single-arm prospective clinical study (NCT05154864) and received standard cardiac operation, CPB and subzero-balance ultrafiltration. Arterial samples were taken before CPB initiation and immediately after weaning, and concentrations of 33 inflammatory mediators were assayed. A principal component analysis with hierarchical clustering (PCA-HCPC) included inflammatory mediator concentrations measured at the end of CPB, validated peak post-operative clinical scores, ventilation time and intensive care length of stay. Mahalanobis distance assessed statistical differences between clusters. Spearman’s correlation described the linear relationship between mediator concentrations at the end of CPB and intensive care length of stay. Results are median (IQR). Results Forty consecutive patients were enrolled; the majority were male (58%), age of 7.3 (1.7–39.0) months and weight of 6.7 (4.6–14.9) kg. The PCA-HCPC revealed activated complement factors along with all peak clinical scores and prolonged intensive care requirements in the same cluster. Cytokine, chemokine, and leukocyte adhesion molecule concentrations were found in two other distinct clusters (Mahalanobis distance = 16.5; p = 0.004 and Mahalanobis distance = 17.4; p = 5.8 × 10 –4 ). Mediator concentrations of C2 (Rho = 0.50; p = 0.001), C3 (Rho = 0.58; p = 1.1 × 10 –4 ), C3b (Rho = 0.47; p = 0.002), C5 (Rho = 0.48; p = 0.002) and C5a (Rho = 0.63; 1.7 × 10 –5 ) showed linear correlations with intensive care unit length of stay. Conclusions Activated complement factors, but not pro-inflammatory cytokines or chemokines, were most related to cardiopulmonary dysfunction and prolonged recovery in this novel analysis. Investigation of therapies that inhibit complement to dampen CPB-associated inflammation and enhance recovery after pediatric cardiac surgery is warranted. Trial Registration ClinicalTrials.gov, NCT05154864

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)0.010
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.821
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.059
GPT teacher head0.368
Teacher spread0.310 · 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

Citations7
Published2024
Admission routes2
Has abstractyes

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