Life‐years lost associated with mental disorders in people with HIV: a cohort study in South Africa, Canada and the United States
Notice bibliographique
Résumé
INTRODUCTION: People with HIV (PWH) have a high burden of mental health disorders, which contribute to increased mortality due to elevated rates of physical illness, suicide or fatal accidents. Additionally, mental health disorders can adversely affect antiretroviral therapy (ART) adherence, leading to increased HIV-related mortality. This study aims to quantify the difference in mortality between PWH who have a mental health disorder and PWH without mental health disorders in South Africa (SA) and North America (NA). METHODS: This cohort study includes PWH aged 18 years or older who initiated ART between 2000 and 2021 at a national private-sector HIV programme in SA and 13 programmes in the United States and Canada. Mental health disorders were diagnosed according to ICD-10 codes F10-F99, which include psychotic disorders, bipolar disorders, depression, anxiety and substance use disorders. We estimated life-years lost (LYL) associated with mental health disorders, quantifying the average difference in remaining life expectancy between individuals diagnosed with a mental health disorder and those without such diagnoses. RESULTS: The study included 119,785 participants from SA (57.4% female, median age 39 years) and 142,044 from NA (85.0% male, median age 43 years). In SA, 57,999 (48.4%) were diagnosed with a mental health disorder, compared with 93,518 (65.8%) in NA. In SA, the LYL associated with any mental health disorder were 3.42 years (95% CI 2.42-4.28) in males and 2.95 years (0.67-5.95) in females. Corresponding figures for NA were 4.16 years (3.71-4.59) in males and 4.64 years (2.93-6.05) in females. In both regions, LYL were higher for psychotic and substance use disorders than for depression and anxiety. Losses were primarily due to natural deaths at CD4 counts ≥200 cells/µl, with considerable contributions at CD4 counts <200 cells/µl. Unnatural causes also contributed to the loss of life-years in males from SA and males and females from NA. CONCLUSIONS: PWH affected by mental health disorders experience higher mortality, primarily from natural causes. LYL were associated with both immunosuppression and higher CD4 levels. Improved management of HIV and physical comorbidities among PWH affected by mental health disorders may enhance their prognosis.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».