Health-Related Quality of Life, Pain and Sleep in Patients with HIV Depending on the Clinical Situation: A Cross-Sectional Pilot Study
Bibliographic record
Abstract
Introduction: Health-related quality of life (HRQL), pain and sleep have been described as relevant traits in patients with human immunodeficiency virus (HIV). The aim of this study is to describe and evaluate HRQL, pain and sleep and their interdependence in HIV-positive patients. Methods: A cross-sectional study on HIV-infected patients was conducted. A set of five different questionnaires was used: two questionnaires addressing HRQL (Short Form 36 [SF-36] Health Survey and Medical Outcomes Study Short Form 30 [MOS-SF 30]), one on pain (McGill Pain Questionnaire) and one on sleep (Pittsburgh Sleep Quality Index [PSQI]). We also collected the sociodemographic and clinical characteristics of patients. Results: The sample included 109 patients (age: 46.08 ± 10.49 years; 68.8% male). The pain experience was independent of HRQL and sleep. Relationships among HRQL, pain and sleep associated to sociodemographic and clinical factors were not detected (p > 0.05). Patients with CDC category A showed moderate to high correlations among HRQL, pain and sleep. In CDC B-type patients, a moderate correlation was observed between pain and mental health. In CDC C patients, moderate correlations were observed between HRQL and sleep and pain and sleep, with no correlations between HRQL and pain. Conclusions: HRQL, pain and sleep are differently correlated in HIV patients depending on their clinical stage. Neither the nadir of CD4-T cells nor the current count of CD4-T cells was found to be related with HRQL, pain or sleep.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".