Neurocognitive performance and quality of life of older adults with HIV on antiretroviral treatment in Northern Thailand
Bibliographic record
Abstract
INTRODUCTION: With virologic suppression and longer life expectancy, older adults with HIV (OAHIV) are at risk for neurocognitive impairment (NCI). This study investigated neurocognitive performance, quality of life (QOL) and the association between OAHIV determinants. METHODS: This cross-sectional study was conducted in OAHIV aged ≥ 50 years on antiretroviral treatment at community hospitals in Northern Thailand between September and November 2020. The Montreal Cognitive Assessment Thai Version (MoCA-T) and the Thai-validated Medical Outcomes Study HIV (MOS-HIV) were used. NCI was defined as MoCA-T scores <25: 16-24 for amnestic mild cognitive impairment (aMCI) and <16 for dementia. For QOL, higher scores meant better QOL; a physical health summary T-score ≥50 was defined as good QOL. RESULTS: (IQR 339-634), and 99% had plasma HIV RNA <40 copies/ml (229 tested). The median MoCA-T score was 20.0 (IQR 16.3-23.0). There were 234 OAHIV (87.3%) with NCI: 182 (67.9%) with aMCI and 52 (19.4%) with dementia. A hundred and ninety (70.6%) had good QOL. Bivariate analysis revealed no correlation between MoCA-T scores and QOL. Multivariable linear regression analysis revealed that MoCA-T score was associated with older age (r = -0.144, p = 0.002), lower education (r = 0.629, p < 0.001), lower income (r = 0.797, p = 0.040) and shorter treatment duration (r = 0.189, p = 0.006). CONCLUSIONS: The vast majority of OAHIV with virologic suppression had NCI. Approximately two-thirds had a mild impairment and one-fifth had dementia. Neurocognitive performance and QOL were not correlated. Addressing mild NCI would enable more targeted monitoring. Early intervention and support could minimize functional impairment with increased age.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".