Efavirenz associated with cognitive disorders in otherwise asymptomatic HIV-infected patients
Bibliographic record
Abstract
BACKGROUND: Despite the availability of potent antiretroviral regimens (combination antiretroviral therapy [cART]), HIV-associated neurocognitive disorders (HAND) are increasingly recognized. Our aim was to investigate the prevalence and treatment-related correlates of HAND, exploring the potential neurotoxicity of antiretrovirals on cognitive functions. METHODS: We performed a cross-sectional single cohort study by consecutively enrolling asymptomatic HIV+ subjects during routine outpatient visits. Each patient was submitted to a comprehensive neuropsychological battery and was considered cognitively impaired on the basis of results obtained in matched healthy HIV-negative subjects. CNS penetration effectiveness (CPE) rank was calculated for cART regimens according to 2010 CHARTER criteria. Factors associated with cognitive impairment were investigated by linear or logistic regression analysis. RESULTS: A total of 146 patients were enrolled. Of these, 129 (88.4%) were on cART and 59.6% of them were on current regimen from ≥1 year. Sixty-nine patients (47%) were classified as cognitively impaired (35.6% asymptomatic and 11.6% mild neurocognitive impairment). In the multivariate analysis, efavirenz use (odds ratio [OR] = 4.00; p = 0.008) and non-Italian nationality (OR = 3.46; p = 0.035) were associated with increased risk of cognitive impairment, whereas higher education was associated with a lower risk (OR = 0.85; p = 0.002). Furthermore, efavirenz use and age ≥65 years independently predicted worse performance on the double barrage and the Stroop test (time). No association between CPE rank and cognitive impairment was observed. CONCLUSIONS: A high prevalence of HAND was observed in apparently asymptomatic HIV+ individuals. HAND was associated with efavirenz use, suggesting the potential neurotoxicity of this drug. Routine neuropsychological examinations could help clinicians make correct diagnoses and manage mild, but clinically relevant, forms of HAND.
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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 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".