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Record W4406944966 · doi:10.1093/ofid/ofae631.653

P-453. Cardiovascular Risk Scores and Insulin Resistance are Higher with Excess Visceral Abdominal Fat in People with HIV in the Modern Antiretroviral (ART) Era

2025· article· en· W4406944966 on OpenAlexaff
Karam Mounzer, John R. Koethe, Jordan E. Lake, Mohammed Zogheib, Colleen S. McGary, R Brandon Cash

Bibliographic record

VenueOpen Forum Infectious Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsTheratechnologies (Canada)
FundersViiV HealthcareGilead Sciences
KeywordsMedicineInsulin resistanceAntiretroviral therapyHuman immunodeficiency virus (HIV)Abdominal obesityInternal medicineInsulinMetabolic syndromeCardiologyObesityVirologyViral load

Abstract

fetched live from OpenAlex

Abstract Background People with HIV (PWH) are at an increased risk of cardiovascular disease (CVD), even after accounting for traditional risk factors like diabetes and dyslipidemia. Metabolic syndrome, a component of which is central adiposity, is also increasingly prevalent in PWH. Yet, there are few data on the contribution of excess visceral abdominal fat (EVAF) to increased CVD risk in PWH in the modern ART era. Methods We used the Visceral Adiposity Measurement and Observation Study (VAMOS) to investigate how EVAF impacts traditional CVD risk factors and overall CV risk in PWH. VAMOS is a cross-sectional, multi-center observational study in PWH, virologically suppressed for ≥1 year, with BMI ranging from 20 to 40 kg/m2. Participants completed study visits, labs, and an abdominal computed tomography scan in the overnight fasting state. Visceral fat was quantified by a single slice at L4-L5. Growth hormone (GH) levels, HOMA-IR and triglyceride:high-density lipoprotein (TG:HDL) ratios (an alternative measure of insulin resistance, IR) were also analyzed. Relationships with EVAF were assessed by Spearman correlation coefficients and Wilcoxon Two-Sample Tests (EVAF defined as ≥130 cm2). Results Of the 170 participants studied, the majority were white and male with an average age of 54 years. Median visceral fat area was 148 cm2 (94, 218) with an EVAF prevalence of 58%. Participants with EVAF had higher HOMA-IR values (p≤.0001) and higher TG:HDL ratios (p=0.0013) than those without EVAF. There was also a positive correlation between EVAF and HOMA-IR (ρ=0.43, p≤0.0001) and TG:HDL ratio (ρ=0.33, p≤0.0001). Importantly, greater visceral fat area was associated with higher 10-year ASCVD risk (p< 0.0001). To understand a potential driver behind this relationship between EVAF and CV risk, GH levels were explored. Increasing visceral fat surface area was inversely correlated with GH levels (ρ=-0.17, p=0.03); moreover, there were lower GH levels in subjects with EVAF (p=0.05). Conclusion Increased levels of visceral fat relate to increased CV risk scores, as well as the traditional risk factors of IR and lipid levels, which contributes to the heightened risk of CVD in PWH on modern ART regimens. The dynamics between decreased GH levels and EVAF found here support targeting EVAF reduction via the GH axis. Disclosures Karam Mounzer, MD, Epividian: Board Member|Epividian: Honoraria|GS: Advisor/Consultant|GS: Grant/Research Support|GS: Honoraria|Merck: Advisor/Consultant|THERA Technologies: Grant/Research Support|ViiV healthcare: Advisor/Consultant|ViiV healthcare: Grant/Research Support|ViiV healthcare: Honoraria John R. Koethe, MD, Gilead Sciences: Advisor/Consultant|Gilead Sciences: Grant/Research Support|Merck & Co.: Advisor/Consultant|Merck & Co.: Grant/Research Support Jordan Lake, MD, Merck: Advisor/Consultant|Theratechnologies: Advisor/Consultant Mohammed Zogheib, PharmD, MPH, Theratechnologies: Employee Colleen McGary, PhD, Theratechnologies: Employee R Brandon Cash, PharmD, Theratechnologies: Employee

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.619

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.006
GPT teacher head0.261
Teacher spread0.255 · 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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Citations1
Published2025
Admission routes1
Has abstractyes

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