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Record W4328025576 · doi:10.1055/s-0043-1761777

Comparison of the Local and Systemic Immune Cell Alterations in Patients Undergoing Coronary Artery Bypass Graft Surgery

2023· article· en· W4328025576 on OpenAlexaff
F. I. Schoettler, Ali Fatehi Hassanabad, Justin Deniset, Paul W.M. Fedak

Bibliographic record

VenueThe Thoracic and Cardiovascular Surgeon · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineSystemic inflammationArteryImmune systemCardiac surgeryCardiologyCoronary artery bypass surgeryInflammationInternal medicineSurgeryImmunology

Abstract

fetched live from OpenAlex

All articles of this category Background: The systemic inflammatory response after cardiac surgery is well studied. The important role of local intrapericardial immune cells in cardiac injury and cardiac remodeling has been suggested in previous studies. However, there is a paucity of data comparing the local and systemic inflammatory processes that happen before and after cardiac surgery. Method: Twelve patients underwent on-pump coronary artery bypass graft (CABG) surgery, where native pericardial fluid (PF) and blood samples were collected immediately after pericardiotomy. A pericardial drain was placed in the pericardial space before closure. Post-operative PF and blood samples were collected 48 hours post-CPB. Flow cytometry was performed to determine levels and proportions of specific immune cells. Results: In our patient population, we detected a variety of immune cells present in both PF and blood, which included neutrophils, two clusters of macrophages (CD163 high and CD163 low Mφ), dendritic cells, natural killer cells, T-cells, and B-cells. Native PF, seen as a plasma ultra-filtrate, shows major differences compared with blood considering the present immune cell proportions. CD163 high Mφ and T-cells predominantly occupy the native pericardial space, however, their systemic expression is significantly lower (CD163 high Mφ: p < 0.0001, T-cells: p = 0.0464). In contrast, neutrophils are the most abundant systemic immune cell type, yet only low levels were locally detectable ( p < 0.0001). Postoperatively, the neutrophil population in the pericardial space increases drastically and equals the persistent high systemic expression. CD163 high Mφ ( p = 0.0233) as well as T-cells ( p = 0.0009) shift to higher systemic proportions after surgery and drop significantly in the postoperative PF. Interestingly, CD163 low Mφ are moderately expressed in both native PF and blood. However, we found an intrapericardial decrease of CD163 low Mφ and a systemic increase after surgery ( p < 0.0001). Conclusion: This study elucidates the differences in the local and systemic immune cell composition before cardiac surgery and their postoperative alterations. Our data helps better understand the intrapericardial immune cell re-population after on-pump cardiac surgery. It may also inform the connection to inflammatory driven postoperative complications, such as atrial fibrillation and pericardial adhesions. Publication History Article published online: 28 January 2023 © 2023. Thieme. All rights reserved. Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.260
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2023
Admission routes1
Has abstractyes

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