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Enregistrement W2314944728 · doi:10.1097/00002030-200203290-00019

Delavirdine increases drug exposure of ritonavir-boosted protease inhibitors

2002· letter· en· W2314944728 sur OpenAlexaff
Marianne Harris, Chris Alexander, Michael V. O’Shaughnessy, Julio Montaner

Notice bibliographique

RevueAIDS · 2002
Typeletter
Langueen
DomaineMedicine
ThématiqueHIV/AIDS drug development and treatment
Établissements canadiensAIDS Vancouver
Organismes subventionnairesnon disponible
Mots-clésSaquinavirIndinavirAmprenavirRitonavirPharmacologyNelfinavirLopinavirProtease inhibitor (pharmacology)EfavirenzNevirapineProteaseMedicineVirologyBiologyViral loadHIV-1 proteaseVirusBiochemistryEnzyme

Résumé

récupéré en direct d'OpenAlex

The co-administration of low doses of ritonavir, a potent cytochrome p450 3A4 inhibitor, has been exploited as a strategy to enhance drug exposure to protease inhibitors, including saquinavir, indinavir, amprenavir, and lopinavir [1–4]. This strategy may lead to decreased pill burden, increased adherence, and reduced cost [5,6]. More recently, it has become apparent that low and intermediate levels of HIV-1 resistance to protease inhibitors may be overcome by increased exposure to these agents, which can be readily achieved with ritonavir boosting. Once patients show evidence of virus with higher levels of resistance to multiple drug classes, regimens including two or more protease inhibitors are often used. In such cases, low-dose ritonavir may be used to boost exposure to two or more protease inhibitors simultaneously (so-called dual boosting). The non-nucleoside reverse transcriptase inhibitors nevirapine and efavirenz are commonly used in multiple drug rescue therapy regimens. Both are cytochrome p450 3A4 inducers, and can thereby decrease exposure to protease inhibitors by 24–62% [7,8]. In contrast, delavirdine is a cytochrome p450 3A4 inhibitor, which has been shown to enhance exposure to indinavir, saquinavir, ritonavir, and nelfinavir [9,10]. The pharmacokinetic impact of delavirdine in dual boosted protease inhibitor-containing regimens has not previously been described. We describe here the pharmacokinetic impact of delavirdine on protease inhibitor levels among three patients receiving multiple drug rescue therapy regimens including dual boosted protease inhibitors. Plasma drug levels were measured before and again at least 2 weeks after the addition of delavirdine. Blood samples were drawn immediately before and every 2 h for 12 h after a timed, observed medication dose. Plasma was separated within 1 h and stored at −70°C until analysis. Plasma drug concentrations were determined by a validated assay using high performance liquid chromatography coupled with tandem mass spectrometry. Lower limits of quantitation were 277 ng/ml for lopinavir, 55 ng/ml for amprenavir, 46 ng/ml for saquinavir, and 92 ng/ml for ritonavir. All three patients received lopinavir 533 mg/ritonavir 133 mg twice a day and amprenavir 750 mg twice a day. Patient 2 also received saquinavir soft gel capsules 800 mg twice a day. Patient 1 was receiving indinavir 600 mg twice a day and nevirapine 200 mg twice a day, which were discontinued when delavirdine 600 mg twice a day was added. The other two patients (nos. 2 and 3) replaced efavirenz 600 mg a day with delavirdine 600 mg twice a day, but made no other changes to their regimens. All three patients were receiving didanosine and lamivudine; patient 1 also received abacavir, patient 2 abacavir and stavudine, and patient 3 received zidovudine. Nucleosides were constant for each individual before and after the switch to delavirdine. Changes in protease inhibitor pharmacokinetic parameters after versus before the addition of delavirdine are summarized in Table 1. After the change to delavirdine, amprenavir area under the curve (AUC)(0−−12) increased by 12 to 105%, Cmin increased by 33 to 71% and Cmax increased by 8 to 107%. Lopinavir AUC(0−−12) increased by 8 to 134%, Cmin increased by 13 to 818% and Cmax changed by −18 to 104%. Ritonavir AUC(0−−12) changed by −33 to 208%, Cmin increased by 0 to > 82% and Cmax changed by −14 to 167%. In the single patient also taking saquinavir, the AUC(0−−12) increased by 78%, the Cmin by 182%, and the Cmax by 28%. The change to delavirdine was not associated with clinical or laboratory toxicities in any of these patients.Table 1: Changes in pharmacokinetic parameters after the addition of delavirdine. These results demonstrate the impact of changing from an alternative non-nucleoside reverse transcriptase inhibitor to delavirdine on protease inhibitor levels among patients receiving multiple drug rescue therapy regimens including dual boosted protease inhibitors. In all three cases, changing to delavirdine was well tolerated and was associated with a variably increased exposure to the protease inhibitors in these ritonavir-boosted combinations. Further evaluation of the clinical role of delavirdine in dual boosted protease inhibitor-containing regimens seems warranted on the basis of these data. In addition, our results illustrate the potential insights that can be gained using therapeutic drug monitoring in the clinical setting. Marianne Harris Chris Alexander Michael O'Shaughnessy Julio S. G. Montaner

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 candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,448
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
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 recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,014
Tête enseignante GPT0,237
Écart entre enseignants0,223 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

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

En bref

Citations11
Publié2002
Routes d'admission1
Résumé présentoui

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