Abstract 513: Lower Nadir Cd4 T-cell Count is a Strong Predictor of Endothelial Dysfunction in HIV Infected Patients
Bibliographic record
Abstract
Background: Nadir CD4 T-cell count is a predictor of negative outcomes in HIV -infected patients and strongly correlates with WHO disease staging. There is lack of data pertaining the relationship between vascular function and nadir CD4 in patients without risk factors of hypertension and diabetes. Therefore we investigated the association between low nadir CD4 T-cells and endothelial function in these otherwise cardiovascular healthy patients. Methods: We conducted a study of 19 HIV-infected men on antiretroviral therapy with undetectable plasma RNA levels without hypertension or diabetes. Vascular reactivity index (VRI), a marker for vascular endothelial function, was measured via VENDYS technique using temperature rebound in response to hyperemic blood flow and vasodilation to the forearm following a 5-minute cuff occlusion of the brachial artery. Results: VRI showed a significant correlation with low nadir CD4 count (p = 0.019) (Figure 1). Lower CD4 counts were associated with significant endothelial dysfunction. We examined the effect of potential mediators on such association. No significant correlation was found with LDL-C (p=0.60), HDL-C (p=0.59), systolic and diastolic blood pressures (p=0.12 and 0.13) or history of smoking (p=0.55) with VRI in the studied HIV cohort. Conclusion: Low nadir CD4 count remained independently associated with vascular reactivity index and thus a significant clinical predictor of endothelial dysfunction in HIV infected patients with no history of hypertension or diabetes even before clinical evidence of cardiovascular disease. Vascular Reactivity Index vs CD4 Nadir(Figure1).
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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 | 0.000 | 0.000 |
| 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) | 0.003 | 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".