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Record W4362719375 · doi:10.14740/cr1467

Immobilizing Interstitial Cardiac Fibrosis

2023· article· en· W4362719375 on OpenAlexvenueno aff
Ю Л Шевченко, A.V. PLOTNITSKY, D.S. Ulbashev

Bibliographic record

VenueCardiology Research · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac Fibrosis and Remodeling
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineCardiologyMyocarditisOdds ratioGastroenterologyFibrosisDiabetes mellitusPathologyEndocrinology

Abstract

fetched live from OpenAlex

Background: The alterations in the endomysium and perimysium might cause compaction and gradual mechanical compression of cardiomyocytes resulting in their immobilization. This process finally leads to severe stiffening, so that the newly formed frame around individual cardiomyocytes and their clusters hinders normal diastole, and later systole. This phenomenon is referred to as immobilizing interstitial cardiac fibrosis (IICF). Deciphering the molecular and structural elements of myocardial changes is the key to understanding the pathogenetic foundations of heart failure development. Methods: The study included 69 patients. Group I (n = 32) included patients with IICF; group II (n = 37) was comparison group. We evaluated the clinical picture, anamnesis of the disease, the results of physical examination, laboratory and instrumental examination of patients and autopsy data. Results: In the anamnesis, patients with IICF were more likely to have diseases than patients in the control group: arrhythmia and impaired conductivity (88% vs. 19%, odds ratio (OR): 30.0; 95% confidence interval (CI): 7.918 - 113.7, P < 0.001), systemic connective tissue diseases (78% vs. 5%, OR: 62.5; 95% CI: 11.9 - 326.5, P < 0.001), viral infections (including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)) (53% vs. 19%, OR: 4.86; 95% CI: 1.66 - 14.25, P = 0.003), type 2 diabetes mellitus (47% vs. 8%, OR: 10.0; 95% CI: 2.54 - 39.34, P < 0.001), radiation therapy for mediastinal lymphoma and other oncological diseases (19% vs. 0%, P = 0.008), focal infections (sinusitis, osteomyelitis, periodontitis, nephritis, cystitis, pyelonephritis, pleurisy, etc.) within 12 months (31% vs. 11%, P = 0.069), chronic kidney disease (25% vs. 8%, P = 0.097), and tuberculosis (9% vs. 0%, P = 0.095). We have identified a statistically significant difference between the groups: the volume of the fibrosis zone (17.5±9.2% vs. 4.9±2.3%, P = 0.001), the expression of type I collagen (5,182 ± 1,301 vs. 2,189 ± 754 in 1 mm 2 , P = 0.0001), type III collagen (7,562 ± 1,405 vs. 2,320 ± 541 in 1 mm 2 , P = 0.0001), matrix metalloproteinase (MMP)-2 (12,850 ± 6,200 vs. 9,501 ± 7,145 in 1 mm 2 , P = 0.005), MMP-9 (15,745 ± 5,695 vs. 6,920 ± 3,125 in 1 mm 2 , P = 0.0001), connexin-43 (25,689 ± 14,871 vs. 37,523 ± 12,561 in 1 mm 2 , P = 0.001), fibronectin (3,448 ± 720 vs. 1,544 ± 610 in 1 mm 2 , P = 0.0001), and transforming growth factor beta (TGF-beta) (5,121 ± 1,243 vs. 2,531 ± 1,489 in 1 mm 2 , P = 0.001). Conclusion: IICF is a separate pathological condition and one of the main causes of chronic heart failure. It is induced by changes in the myocardial connective tissue that prevent normal functioning of the myocardium. Cardiol Res. 2023;14(2):123-132 doi: https://doi.org/10.14740/cr1467

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)0.002
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.001

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 head0.129
GPT teacher head0.422
Teacher spread0.292 · 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
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

Citations2
Published2023
Admission routes1
Has abstractyes

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