Are There Gender Differences in Starting Protease Inhibitors, HAART, and Disease Progression Despite Equal Access to Care?
Notice bibliographique
Résumé
OBJECTIVES: To describe gender differences in starting and response to treatment regimens and long-term clinical outcome in a well-characterized regional population from the Southern Alberta HIV Clinic (SAC) of 1403 patients, where all medical care for HIV, including physician fees, laboratory tests, and antiretroviral drug costs is provided free of charge. DESIGN: Observational cohort study. METHODS: Cox proportional hazards models were used to examine the relative risk of starting treatment regimens and disease progression (new AIDS-defining illness or death). RESULTS: There are 126 women in the SAC (9.0%). The median CD4 lymphocyte count at first visit among all patients was 350 cells/mm3, and was significantly higher among women than men (428 cells/mm3 versus 345 cells/mm3, respectively; p = 0.0024). Participating women were less well educated than participating men; 29% of women did not proceed beyond a tenth grade education compared with 13% of men; only 28% of women went to college or received a degree in contrast to 40% of men (p <. 001). The proportion of women in the cohort has increased over the past 5 years (p <.001). During a median follow-up period of 35 months that dates back as far as 1985, 572 patients (40.8%) died or progressed to a new AIDS-defining illness, of whom 30 were women (5. 2%). In a multivariate Cox model stratified by calendar quartile of first visit and adjusted for latest CD4, AIDS status, age, exposure group, education, and prior treatment, women were significantly less likely to start highly active antiretroviral therapy (HAART; defined as at least three antiretrovirals taken consecutively; relative hazard [RH], 0.69; 95% confidence interval [CI], 0.49-0.98; p =.033), significantly less likely to start a protease inhibitor containing treatment regimen (RH, 0.71; 95% CI, 0.52-0.98; p =.040) and significantly less likely to start a HAART regimen including a protease inhibitor (RH, 0.69; 95% CI, 0.48-1.00; p =.049). After adjustment for potentially confounding variables such as CD4 lymphocyte count and treatment regimen, no difference in disease progression was found between men and women (RH, 0.77; 95% CI, 0. 49-1.19; p =.24). Among patients who started HAART, the CD4 lymphocyte count and viral load at starting treatment regimens was similar between men and women, as were the immunologic and virologic response following initiation of treatment. CONCLUSIONS: Despite free access to antiretrovirals, women in the SAC were significantly less likely to start HAART treatment regimens, and the reasons for this need further investigation. Response to treatment was similar between genders. No evidence was found for a poorer long-term clinical outcome in women, but given the proven large clinical benefits of HAART, this may change in the future.
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 | 0,001 | 0,004 |
| 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 | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| 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 ».