AUTOIMMUNE DISEASE PREVALENCE IN PEOPLE LIVING WITH HIV AT CIPTO MANGUNKUSUMO GENERAL HOSPITAL: A COHORT STUDY
Notice bibliographique
Résumé
PV156 / #327 Poster Topic: AS17 - Miscellaneous Background/Purpose Infection is one of the risk factors for developing autoimmune diseases (AD). Apart from Cytomegalovirus and Epstein-Barr virus infections which are often associated with AD pathogenesis, Human Immunodeficiency Virus (HIV) infections which have become epidemics may also play a role in triggering the occurrence of AD. Moreover, after HIV infection can be controlled with antiretroviral therapy (ART) which increases life expectancy for people living with HIV (PLHIV), the recovery of the immune system may have an impact on the emergence of AD manifestations. This research aimed to examine the prevalence and profile of AD in PLHIV. Methods It is a retrospective cohort study in the HIV and Infectious Diseases Integrated Service Installation, Dr. Cipto Mangunkusumo General Hospital from January 2012 to June 2024. We included all HIV patients aged 18 years old and above who were diagnosed with systemic or organ-specific AD. All data were collected from electronic and paper-based medical records. We collected the diagnosis based on ICD-10 written in the medical records. Results Of the 4235 HIV patients included in the cohort, only 61 patients (1.3%) were confirmed to have AD. As many as 55.6% were women and the mean age was 36.0 years. Only a few patients have coinfection with hepatitis B or Hepatitis C. Demographic characteristics are shown in Table 1. The most common AD were Graves disease (n=14), systemic lupus erythematosus (n=9), psoriasis vulgaris (n=7), axial spondyloarthritis (n=5), and antiphospholipid syndrome (n=4). Seven patients were presented with 2 ADs. Systemic AD were diagnosed more after >5 years following ART initiation (12 patients) and before ART initiation (11 patients), while organ-specific AD were diagnosed more in 1-5 years following ART initiation (12 patients) and before ART initiation (8 patients) (Figure 1a and 1b). Table 1. Demography characteristics of the study. Figure 1a. Systemic AD: Diagnosis Interval from ART Initiation Figure 1b. Organ-Specific AD: Diagnosis Interval from ART Initiation SLE: Systemic lupus Erythematosus, APS: Antiphospholipid Syndrome, AIHA: Autoimmune Hemolytic Anemia, ITP: Idiopathic Thrombocytopenic Purpura, GBS: Guillain-Barré syndrome Six female patients and 1 male patient were presented with 2 AD. These female patients were diagnosed with 1) APS and Crohn’s disease, 2) psoriasis vulgaris and psoriatic arthritis, 3) psoriatic arthritis and rheumatoid arthritis, 4) Graves disease and Sjögren’s syndrome, 5) AIHA and SLE, and 6) APS and SLE. Besides, 1 male patient was diagnosed with Graves disease and ITP. Conclusions AD in PLHIV in this cohort was rare. Graves’ disease was the most common organ-specific AD and was most commonly diagnosed at >1 year following ART initiation. SLE was the most common systemic AD and was most commonly diagnosed at >5 years following ART initiation and before ART initiation. Multiple AD was found in a small percentage of patients.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».