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Enregistrement W2016266605 · doi:10.1097/00002030-200403050-00016

Effect on CD4 T-cell count of replacing protease inhibitors in patients with successful HIV suppression

2004· review· en· W2016266605 sur OpenAlexaff
Carolyn Owen, Farouk Kazim, Andrew D. Badley

Notice bibliographique

RevueAIDS · 2004
Typereview
Langueen
DomaineImmunology and Microbiology
ThématiqueHIV Research and Treatment
Établissements canadiensOttawa Public HealthHealth CanadaOntario Stroke NetworkOttawa Hospital
Organismes subventionnairesnon disponible
Mots-clésNevirapineAbacavirProtease inhibitor (pharmacology)RegimenMedicineReverse-transcriptase inhibitorProteaseViral loadImmunologyReverse transcriptaseAdverse effectPharmacologyInternal medicineVirusOncologyAntiretroviral therapyBiologyEnzyme

Résumé

récupéré en direct d'OpenAlex

Protease inhibitor (PI) therapy may be associated with adverse events. Switching the PI component to a non-PI may reduce some side-effects, but the immune effects are unclear. In a meta-analysis using strict inclusion criteria, a randomized switch from PI was associated with impaired CD4 T-cell gains compared with maintaining PI (PI arm +32 cells, effect size 0.130,P= 0.05). Therefore, PI-based therapy results in superior CD4 T-cell gains compared with switching to a non-PI regimen. Combination antiretroviral therapies promote immune recovery and viral suppression in HIV-infected patients [1]. Unfortunately, the side-effects of protease inhibitors (PI) often prompt the replacement of the PI with other drug classes. Studies have now demonstrated that switching the PI component to a non-nucleoside reverse transcriptase inhibitor (NNRTI) or to abacavir maintains viral suppression [2–7]; however, the immunological effects of such switches have not been fully evaluated. An emerging body of literature suggests that PI therapy may have superior immunological outcomes compared with therapies that do not include a PI [8]. To evaluate whether such a difference occurs, we performed a meta-analysis of prospective studies that replaced the PI component of virologically suppressive therapy with either an NNRTI or abacavir and analysed the CD4 T-cell outcome of such a switch. A MEDLINE search was conducted from 1996 to 2002 using the MeSH terms: HIV-1, anti-HIV agents, HIV protease inhibitors, reverse transcriptase inhibitors, nevirapine, switch.mp and replace.mp. The inclusion criteria were: (i) randomized, controlled clinical trials; (ii) HIV-1-infected adults treated with two nucleoside reverse transcriptase inhibitors and one PI with suppressed viral replication for greater than 6 months before the switch; (iii) random assignment to either the continuation of PI therapy, or switch to an NNRTI or abacavir while maintaining the two nucleoside reverse transcriptase inhibitors; and (iv) CD4 cell counts recorded at baseline (i.e. before the switch) and at the conclusion of the study. We evaluated the mean increase in the CD4 lymphocyte count using the standard deviation (SD) associated measure of variation. In the cases in which only the medians of the CD4 cell increases were reported, these were used as estimates for the mean increases. Estimates of SD in other cases were imputed based on studies in which the SD or standard error (SE) estimates were available. The effect size, which reflects the standardized mean difference between the two groups, was calculated as follows: Effect size together with an estimate of SD was used to calculate the t-statistic using a two-sided P-value and a 95% confidence interval. Thirty-eight potential studies were identified, of which seven met all the inclusion criteria. Of the seven eligible studies, five studies, which included data on 757 patients (80.5% of the total patients) demonstrated a superiority of PI continuation on CD4 cell counts (Fig. 1). In contrast, two studies with 183 patients (19.4% of the total patients) demonstrated superior CD4 T-cell gains by switching to a NNRTI (nevirapine or efavirenz) as opposed to continuing PI therapy. We questioned whether differences in CD4 T-cell outcomes were governed by different lengths of follow-up, but linear regression analysis of CD4 T-cell change versus the length of follow-up did not reveal co-association (R2 = 0.0051, P = NS).Fig. 1.: CD4 T-cell outcomes in patients randomly assigned to continue protease inhibitor-based therapy (solid bars) or to switch to non-protease inhibitor-based therapy (open bars), stratified by study. ABC, Abacavir; EFV, efavirenz; NVP, nevirapine. ▒ Randomly assigned to continue therapy; □ switch to non-protease inhibitor-based therapy.We therefore performed a meta-analysis of PI switch using all seven randomized studies. The calculation of weighted average effect size was performed for all seven trials. The mean gain of CD4 T cells in the patients who were maintained on PI was 66 ± 11 (mean ± SE) cells/ml, whereas the increase was 34 ± 7 cells/ml in the patients switched to NNRTI or abacavir. Pooled results from all seven trials revealed that switching from a PI-based therapy to a non-PI-based therapy (involving either NNRTI or abacavir) in patients who have achieved successful viral suppression on multi-drug therapy does result in diminished CD4 cell increases. The effect size (0.130) was statistically significant [P = 0.05, 95% confidence interval (CI) −0.002 to 0.261] with a mean difference of 32 cells in the PI maintenance arm. The success of the PI class of antiretroviral agents has transformed HIV infection into a chronic but manageable disease for many patients [1]. Unfortunately, despite their success, the utility of PI-based regimens is often limited by a high daily pill burden, dietary restrictions and treatment-associated adverse events, often prompting a switch to more tolerable agents [9]. However, the immunological effect of such changes is unknown. Our data demonstrate that discontinuing a PI in favor of another drug is associated with impaired CD4 T-cell recovery. The comparative gain of 66 ± 11 CD4 T cells/ml in the PI-treated patients compared with 34 ± 7 cells/ml in the patients switched to alternative therapy must be viewed within the appropriate context. First, this difference was apparent after as little as 4 months of follow-up. It is important that studies with longer follow-ups be reported in order to determine whether such differences will continue to expand, or stabilize. Second, it is unclear whether these changes vary inversely with baseline CD4 T-cell counts. Although others have suggested that this effect may be greatest in patients with lower baseline CD4 T-cell counts [9], our study did not permit such subgroup analyses. Third, even small increases in the CD4 T-cell number enhance clinical outcomes [10], even when immunological improvement is not accompanied by virological response [10]. Our results, combined with th in-vitro data and non-randomized clinical studies, support the suggestion of a superior effect of PI on the CD4 T-cell number, and indicate the need for further research to define how this information may be used to the benefit of patients infected with HIV. Although this difference may not be of clinical significance for patients with high baseline CD4 cell counts, it is possible that patients with severe immune depletion would experience clinical benefit from the additional CD4 T-cell increase associated with PI. Prospective analyses are required to assess the clinical benefit of PI versus non-PI-based therapy.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,910
Score d'incertitude au seuil0,891

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

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.

Tête enseignante Opus0,008
Tête enseignante GPT0,270
Écart entre enseignants0,262 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2004
Routes d'admission1
Résumé présentoui

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