HIV-Related Neurological Syndromes Reduce Health-Related Quality of Life
Bibliographic record
Abstract
BACKGROUND: Human immunodeficiency virus (HIV) infection frequently results in neurological complications but the impact of different neurological syndromes on patients' quality of life remains unknown. METHODS: We investigated health-related quality of life (HRQoL) parameters among HIV/Acquired Immune Deficiency Syndrome (AIDS) patients with and without neurological disease, including 11 dimensions of HRQoL within the Medical Outcomes Short-form Health Survey-HIV. RESULTS: Comparisons of sociodemographic and systemic clinical variables did not differ between HIV/AIDS patients with (n=94) and without (n=75) neurological disease. However, patients with neurological diseases exhibited significantly lower HRQoL scores compared to matched controls, which was most evident among HIV/AIDS patients with cognitive impairment and sensory neuropathy. Prospective analysis revealed diminishing HRQoL scores prior to neurological diagnosis followed by a progressive and sustained improvement in HRQoL scores after intervention over a 96-week period. CONCLUSIONS: These studies indicate that while HIV-related neurological diseases are associated with reduced HRQoL scores, enhanced neurological care has a positive impact on HIV/AIDS patients' overall well-being.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".