Epicardial Adipose Tissue is Related to Carotid Intima-Media Thickness and Visceral Adiposity in HIV-Infected Patients with Highly Active Antiretroviral Therapy-Associated Metabolic Syndrome
Bibliographic record
Abstract
BACKGROUND: High cardiovascular risk and accelerated atherosclerosis are associated with human immunodeficiency virus (HIV). Recently, the use of highly active antiretroviral therapy (HAART) for the treatment of HIV infection is correlated with the development of HAART-associated metabolic syndrome and lipodystrophy (LDS). Detection of epicardial fat thickness, new index of visceral adiposity in non HIV-infected patients, might be important as diagnostic tool in HIV-infected patients on HAART. OBJECTIVE: Primary objective of this study was to evaluate whether echocardiographic epicardial adipose tissue is related to visceral adipose tissue (VAT) and Carotid Intima-Media Thickness (IMT), index of atherosclerosis in HIV-infected patients on HAART with LDS. DESIGN: We studied 60 consecutive HIV-infected subjects with HAART-associated metabolic syndrome and LDS and 45 HIV-infected subjects on HAART without LDS. MAIN OUTCOMES MEASURES: Epicardial fat thickness and IMT were measured by ultrasonography in both study and control groups. Magnetic resonance imaging (MRI) was used to calculate VAT in HIV-infected subjects on HAART with LDS. RESULTS: Epicardial adipose tissue thickness showed an excellent correlation with MRI-VAT (r=0.85; P<0.001) and IMT (r=0.78;P<0.001) in HIV-infected patients on HAART-with LDS. Multiple regression analysis showed that epicardial fat thickness was best predicted by MRI-VAT and IMT (R2=0.57, p<0.001 and p<0.01, respectively). HIV-infected patients with HAART-associated metabolic syndrome and LDS showed higher epicardial fat thickness and IMT (8 vs 6.5 mm; 0.71 vs 0.66 mm, respectively, p<0.01 for both) than HIV-infected subjects on HAART without LDS. CONCLUSION: Echocardiographic assessment of epicardial fat may have the potential to be a simple and reliable marker of visceral adiposity and increased cardiovascular risk in HIV-infected patients with HAART-associated metabolic syndrome and LDS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".