Arterial stiffness in HIV-infected youth and associations with HIV-related variables
Bibliographic record
Abstract
Children and young adults infected with HIV are at elevated risk for cardiovascular disease (CVD). However, scarce data exist on the utility of non-invasive methods to diagnose subclinical CVD, such as pulse wave velocity (PWV), a non-invasive measure of arterial stiffness. The objectives of this study were to assess the relationship of carotid-femoral PWV with subclinical atherosclerosis measured by carotid intima-media thickness (IMT), compare measurements to healthy controls, and evaluate variables associated with PWV in HIV-infected youth. One hundred and one 8-25 year-old subjects on stable antiretroviral therapy with low-level viremia or an undetectable HIV-1 RNA were enrolled, along with 86 healthy controls similar in age, sex and race. There was no significant difference in PWV between groups (median (Q1, Q3): 5.7 (5.2, 6.3) vs 5.7 (4.9, 6.5) m/s; P = 0.81). Among the HIV-infected subjects, PWV was positively correlated with both internal carotid artery (R = 0.31, P = 0.02) and carotid bulb IMT (R = 0.29, P = 0.01). In multivariable regression, only current alcohol consumption and systolic blood pressure were independently associated with PWV in the HIV-infected group (where current alcohol consumption and higher systolic blood pressure were associated with higher PWV); whereas, age, body mass index, and current marijuana use were associated with PWV in healthy controls. In this study of PWV in HIV-infected youth, measures of arterial stiffness were not different between subjects and controls. However, in HIV-infected youth, there was a significant association between PWV and carotid IMT, as well as between PWV and current alcohol consumption. Thus, PWV may have potential as a useful, non-invasive method to assess CVD risk in HIV-infected youth, but further investigation is needed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".