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Record W4213424987 · doi:10.1111/hiv.13274

“Dangerous liaisons: NAFLD and liver fibrosis increase cardiovascular risk in HIV”

2022· article· en· W4213424987 on OpenAlexaff
Adriana Cervo, Giada Sebastiani, Jovana Milić, Thomas Krahn, Sergio Mazzola, Salvatore Petta, Antonio Cascio, Giovanni Guaraldi, Giovanni Mazzola

Bibliographic record

VenueHIV Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineTransient elastographyInternal medicineFatty liverOdds ratioLiver diseaseGastroenterologyBody mass indexPopulationHepatitis CConfidence intervalFibrosisDiseaseLiver fibrosis

Abstract

fetched live from OpenAlex

Abstract Objectives Non‐alcoholic fatty liver disease (NAFLD) is strongly associated with cardiovascular disease in the general population. We aimed to assess the impact of NAFLD and liver fibrosis on intermediate‐high cardiovascular risk in people living with HIV. Methods We included people living with HIV from three cohorts. NAFLD and significant liver fibrosis were defined using transient elastography: controlled attenuation parameter ≥288 dB/m and liver stiffness measurement ≥7.1 kPa, respectively. Cardiovascular risk was assessed with the atherosclerotic cardiovascular disease (ASCVD) risk estimator in patients aged between 40 and 75 years and categorised as low if <5%, borderline if 5%–7.4%, intermediate if 7.5%–19.9% and high if ≥20% or with the presence of a previous cardiovascular event. Patients with hepatitis B and/or hepatitis C virus co‐infection, alcohol abuse and unreliable transient elastography measurements were excluded. Predictors of intermediate‐high cardiovascular risk were investigated in multivariable analysis by logistic regression and also by stratifying according to body mass index (BMI; cut‐offs of 25 and 30 kg/m 2 ) and age (cut‐off of 60 years). Results Of 941 patients with HIV alone included, 423 (45%), 128 (13.6%), 260 (27.6%) and 130 (13.8%) were categorised as at low, borderline, intermediate and high ASCVD risk, respectively. Predictors of intermediate‐high ASCVD risk were NAFLD (adjusted odds ratio [aOR] 2.11; 95% confidence interval [CI] 1.40–3.18; p < 0.001), liver fibrosis (aOR 1.64; 95% CI 1.03–2.59; p = 0.034), duration of HIV (aOR 1.04; 95% CI 1.02–1.06; p < 0.001), and previous exposure to thymidine analogues and/or didanosine (aOR 1.54; 95% CI 1.09–2.18; p = 0.014). NAFLD was also associated with higher cardiovascular risk in normoweight patients (aOR 2.97; 95% CI 1.43–6.16; p = 0.003), in those with BMI <30 kg/m 2 (aOR 2.30; 95% CI 1.46–3.61; p < 0.001) and in those aged <60 years (aOR 2.19; 95% CI 1.36–3.54; p = 0.001). Conclusion Assessment of cardiovascular disease should be targeted in people living with HIV with NAFLD and/or significant liver fibrosis, even if they are normoweight and young.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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.

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

Citations17
Published2022
Admission routes1
Has abstractyes

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