Neurocognitive impairment, depression, and anxiety in HIV‐1‐infected patients across western Europe and Canada: the CRANIum study ‐ ethnicity analysis
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».