Neurocognitive impairment, depression, and anxiety in HIV‐1‐infected patients across western Europe and Canada: the CRANIum study ‐ ethnicity analysis
Bibliographic record
Abstract
Purpose of the study The prevalence of neurocognitive impairment (NCI) in people living with HIV has previously been reported between 20–50%, with prevalence rates of depression reported between 12–71%. The primary objective of the CRANIum study was to describe the prevalence of a positive screen for NCI and depression/anxiety in an HIV‐1‐infected adult population, comparing ARV‐naïve and ‐experienced patients. Here we present an ethnicity analysis of the CRANIum data. Methods The study was an epidemiologic, cross‐sectional study that included HIV‐1‐infected patients >18 years old attending a routine clinic visit. One‐third of patients were ART‐naïve, one‐third on a PI/r‐ and one‐third on a NNRTI‐based regimen. The Brief Neurocognitive Screen (BNCS) was used to screen for NCI. It consists of the Digit Symbol and Trailmaking A and B tests. A standard deviation of >1 on 2 tests or >2 on 1 test was considered a positive screen for NCI. The Hospital Anxiety and Depression Scale (HADS) was used to screen for anxiety (HADS‐A) and depression (HADS‐D). HADS is self‐administered and consists of 14 items (7 HADS‐A, 7 HADS‐D) scored between 0 to 3. A score of ≥8 was considered as a positive screen for either condition. Summary of results 2859 evaluable patients were included from 15 countries. Baseline characteristics are shown in table 1 (*p < 0.05 as compared with Caucasian group). Overall, 41.4% of patients had a positive screen for NCI, 33.3% for anxiety and 15.7% for depression. Results by ethnicity are shown in figure 1. All subjects Caucasian Black Hispanic Oriental/Asian Other Number of subjects (%) 2859 2254 (78.8) 387 (13.5) 127 (4.4) 50 (1.7) 41 (1.4) Age ‐ mean, years 42.95 43.80 39.79* 38.56* 40.57* 42.96 Gender ‐% ‐ Male 61.7 67.3 26.9* 70.1 64.0 56.1 ‐ Female 38.3 32.7 73.1* 29.9 36.0 43.9 Unemployed ‐% 33.1 32.8 35.7 26.0 30.0 51.2* > Secondary school education ‐% 82.2 81.3 84.2 89.0* 90.0 78.0 HIV risk factor ‐% ‐ Homosexual 42.5 48.5 4.1* 58.3* 36.0 31.7 ‐ Heterosexual 44.8 37.3 89.4* 39.4* 46.0 51.2 ‐ Other/ Not known 12.8 14.2 6.5* 2.4* 18.0 17.1 Duration of HIV infection – mean, months 98.10 103.22 73.46* 79.80* 82.16 113.84 Last recorded HIV‐1 RNA level ‐ ART‐naïve‐ median, c/mL 22,390 23,539 11,483 32,241 23,112 12,660 ‐ ART‐experienced – median, c/mL 39.0 39.0 40.0 28.0 40.0 39.5 Last recorded CD4 count – mean, c/µL 586.02 598.70 527.57* 550.17 542.40 599.43 Previous AIDS diagnosis ‐% 17.5 17.7 16.6 17.3 16.0 19.5 Previous CNS infection ‐% 4.5 3.6 7.2* 6.3 6.0 17.1* CD4 count nadir (mean, cells/µL) 295.02 302.65 255.01* 311.97 259.10 247.63 Hepatitis C co‐infection ‐% 12.4 14.7 1.6* 3.9* 16.0 12.2 Previous psychiatric diagnosis ‐% 20.2 22.2 9.8* 15.9 20.0 17.1 image Conclusions In this large epidemiologic study, the overall prevalence of a positive screen for NCI was high. In particular, the rate in black patients was nearly double that of the overall study population. This finding needs to be interpreted in light of differences in demographics and disease characteristics between ethnic groups. The overall prevalence of a positive screen for depression in HIV‐infected patients was nearly double what has previously been reported in the non‐HIV‐infected population in Europe when utilizing a similar screening tool, with no significant differences between identified ethnic groups. These results support a strategy of regular screening for, and clinical management of NCI, depression, and anxiety in all HIV‐infected patients, with specific focus on NCI in the black population.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".