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Record W4377989008 · doi:10.1093/eurjpc/zwad125.170

Non-alcoholic steatohepatitis and hepatic fibrosis are strongly associated with estimated 10-years cardiovascular risk in people living with severe obesity

2023· article· en· W4377989008 on OpenAlexafffund
Fannie Lajeunesse‐Trempe, Sarah Dugas, Ina Maltais‐Payette, Marie‐Ève Piché, Georgios K. Dimitriadis, Laurent Biertho, André Tchernof

Bibliographic record

VenueEuropean Journal of Preventive Cardiology · 2023
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
FundersInstitut universitaire de cardiologie et de pneumologie de Québec, Université Laval
KeywordsMedicineBody mass indexObesityWaistDyslipidemiaInternal medicineMetabolic syndromeSteatohepatitisFatty liverType 2 diabetesPopulationAnthropometryDiabetes mellitusDiseaseEndocrinologyEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Cardiometabolic health, diabetes and obesity research network IUCPQ Foundation. Background Obesity (Body Mass Index [BMI] over 30 kg/m2) is associated with metabolic disturbances that promote the development and progression of cardiovascular diseases (CVD). However, the association between anthropometric indices of obesity (BMI, Waist Circumference [WC], Waist-to-Hip ratio [WHR] or Neck Circumference [NC]) and CVD risk factors has not always been observed in people living with severe obesity (BMI >35 kg/m2). Among obesity-related metabolic disorders, non-alcoholic ateatohepatitis (NASH) is associated with an increased risk of CVD and cardiac events. NASH has been shown to correlate with a degree of obesity, as defined by BMI or WC. The association between anthropometric parameters, NASH and CVD risk factors has not been explored yet in people living with severe obesity. Purpose The aim of this study was to explore the relationships between CVD risk score, anthropometric parameters and the presence of NASH (hepatic steatosis and fibrosis) in a population with severe obesity. Method A total of 2257 patients with severe obesity, who underwent bariatric surgery with concomitant liver biopsy were included. All biopsy specimens were classified according to the Brunt grading system. Pre-operative demographic and anthropometric data (age, sex, weight, height, BMI, WC, WHR, NC) were recorded. Comorbidities were assessed (type 2 diabetes, hypertension, dyslipidemia). The 10-year cardiovascular risk was calculated preoperatively in each patient using the Framingham risk score (FRS). Dependent variable FRS was compared using Kruskal Wallis H test and Chi2 exact test. Associations were tested using multivariate logistic regression analysis. Results In this specific population (mean age of 46.2 years old, mean BMI of 47.8 kg/m2, 69.1% female), FRS did not significantly increase with weight, BMI and WC, but was positively correlated with WHR and NC (p<0.05). A total of 47.3 % of patients with a histopathological diagnosis of NASH had a moderate-to-high FRS. Among NASH patients with histopathological evidence of grade-4 fibrosis, 69.3% had a moderate-to-high FRS. Presence of NASH and fibrosis were more strongly correlated with a moderate-to-high FRS (OR of 1.61 and 1.37, respectively), compared to all other anthropometric parameters (p<0.05), except WHR (OR of 1.99). Conclusion In people living with severe obesity, the presence of NASH and hepatic fibrosis is strongly associated with a high FRS but not more than WHR. Further research is needed to identify the best predictors of CVD and cardiac events in people living with NASH and severe obesity.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.671

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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.

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
Published2023
Admission routes2
Has abstractyes

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