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VASCULAR FUNCTION CHANGES IN NONALCOHOLIC FATTY LIVER DISEASE (NAFLD)/ NONALCOHOLIC STEATOHEPATITIS

2024· article· en· W4398218930 on OpenAlexaffabout
Kaveh Jafari, Véronique Paquet, Saliha Addour, Catherine Fortie, Gabrielle Trépan, Stéphanie Ferlan, Mohsen Agharazii, A Carré

Bibliographic record

VenueJournal of Hypertension · 2024
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsMedicineNonalcoholic fatty liver diseaseNonalcoholic steatohepatitisInternal medicineGastroenterologyLiver functionFatty liverDisease

Abstract

fetched live from OpenAlex

Objective: The main cause of death among patients with NAFLD is cardiovascular disease. It is firmly established that NAFLD is major risk factors for cardiovascular diseases and Aortic stiffness is an independent predictor of cardiovascular events. Understanding this relationship aids in identifying potential risks and developing targeted interventions, ultimately improving preventive care strategies for individuals with NAFLD. Through the global approach, we investigate to examine the link between the severity of metabolic steatosis and the various indices of vascular function. Design and method: Patients followed consecutively at the University Hospital of Quebec were recruited to participate. We assessed aortic stiffness, brachial stiffness, Global stiffness, Intima-Media Thickness and the flow-dependent vasodilation (FMD). The participants were divided according to the stage of hepatic steatosis, either early or advanced. Results: In this study, we had 50 patients. Thirteen of them were in the early NASH group, with an average age of 65.1 ± 11.0, and 37 patients were in the advanced NASH group, with an average age of 54.0 ± 12.4. According to the classification into early and advanced NASH, there was a significant difference in brachial diastolic pressure between the two groups (69.2 ± 8.7 vs. 75.3 ± 8.0; P = 0.02). Regarding carotid artery remodeling parameters, static circumferential wall stress was higher in the advanced NASH group (69.2 ± 15.1 vs. 86.4 ± 20.5; P < 0.01), while the Wall-to-Lumen Ratio was lower among the advanced NASH patients (0.095 ± 0.02 vs. 0.078 ± 0.01; P < 0.01). Patients in the advanced stage had smaller intima-media thickness, and the artery diameter became wider (0.652 ± 0.169 vs. 0.555 ± 0.097; P < 0.05). Conclusions: In this preliminary analysis, there were no associations between the severity of NASH and markers of arteriosclerosis, atherosclerosis and endothelial dysfunction. However, advanced NASH was associated with a hypotrophic remodeling of the common carotid artery (large elastic vessel), even after adjustment for age, diastolic BP, and sex. In a similar manner, the diameter of the brachial artery (medium-sized muscular vessel) seemed to be higher with advanced NASH.

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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.034
GPT teacher head0.253
Teacher spread0.219 · 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".

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Citations0
Published2024
Admission routes2
Has abstractyes

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