Cognitive impairment and cardiovascular disease related to alexithymia in a well-controlled HIV- infected population
Bibliographic record
Abstract
Both cognitive diseases and alexithymia may be associated with HIV. Moreover, alexithymia has been linked to cardiovascular (CV) diseases. Our aim was to explore the prevalence of alexithymia and its associations with neurocognitive disorders (HAND) and CV risk factors in a well-controlled HIV-positive population. We consecutively enrolled 140 HIV-positive individuals on antiretroviral therapy and 35 healthy subjects matched for age, education and gender. In all participants alexithymia was explored by the 20-item Toronto Alexithymia Scale. For HIV-positive subjects also data about CV risk factors were collected, and a comprehensive neuropsychological examination was administered; HAND was defined according to Frascati criteria. Patients and controls did not differ in the proportion of alexithymic status (10% vs. 11%; p=0.761). Among HIV-positive patients, alexithymic participants presented a higher prevalence of diabetes (21% vs. 3%, p=0.035) and hypertension (36% vs. 13%, p=0.037) compared to non-alexithymic. About 30% (n=41) of HIV-positive patients met criteria for asymptomatic HAND. Alexithymia was not independently associated with a higher risk of HAND (p=0.189). Analyzing each cognitive domain, alexithymia showed an independent association with an abnormal performance (OR 1.08; p=0.037) only in psychomotor speed. In conclusion, in the context of a well-controlled HIV infection, we found a low prevalence of alexithymia comparable to healthy controls. Alexithymia was linked to higher risk of CV disease in the HIV-positive population, but with a rate similar to that previously estimated in the HIV-negative alexithymic. Finally, alexithymia was clearly associated to cognitive impairment only in the psychomotor speed domain, suggesting a common fronto-striatal system dysregulation
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".