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Enregistrement W4389073762 · doi:10.1210/jendso/bvad114.1118

THU038 Osilodrostat Dosing In Cushing’s Disease: A Pooled Analysis Of The LINC Program

2023· article· en· W4389073762 sur OpenAlexaff
John Newell‐Price, Rosario Pivonello, André Lacroix, Beverly M. K. Biller, Richard A. Feelders, Mônica R. Gadelha, Jérôme Bertherat, Zhanna Belaya, Andrea Piacentini, Alberto M Pedroncelli, Maria Fleseriu

Notice bibliographique

RevueJournal of the Endocrine Society · 2023
Typearticle
Langueen
DomaineMedicine
ThématiquePituitary Gland Disorders and Treatments
Établissements canadiensCentre Hospitalier de l’Université de Montréal
Organismes subventionnairesnon disponible
Mots-clésMedicineShireFamily medicinePharmacology

Résumé

récupéré en direct d'OpenAlex

Abstract Disclosure: J. Newell-Price: Consulting Fee; Self; HRA Pharmaceuticals, Diurnal, Novartis Pharmaceuticals, Recordati Rare Diseases, Crinetics. Grant Recipient; Self; Crinetics, Diurnal, HRA Pharmaceuticals, Novartis Pharmaceuticals, Recordati Rare Diseases. R. Pivonello: Consulting Fee; Self; Novartis Pharmaceuticals, Recordati, Corcept Therapeutics, Pfizer, Inc., Bresmed Health Solutions, Damor farmaceutici, S&R Farmaceutici SpA, Organon Italia Srl, Siunergos Pharma, Biohealth Italia Srl. Grant Recipient; Self; Novartis Pharmaceuticals, Recordati, Xeris Pharmaceuticals (Strongbridge), Corcept Therapeutics, Takeda, Neurocrine Biosciences, Camurus AB, Pfizer, Inc., Merk Serono, Ibsa. A. Lacroix: Consulting Fee; Self; Novartis Pharmaceuticals, Recordati, Corcept Therapeutics, Ipsen, Novo Nordisk. Grant Recipient; Self; Novartis Pharmaceuticals, Recordati, Corcept Therapeutics, Ipsen, Novo Nordisk. B.M. Biller: Consulting Fee; Self; HRA Pharmaceuticals, Recordati Rare Diseases, Sparrow, Xeris Pharmaceuticals (Strongbridge). Research Investigator; Self; served on the LINC 3 steering committee. R. Feelders: Consulting Fee; Self; HRA Pharmaceuticals, Recordati. Grant Recipient; Self; Corcept Therapeutics. M. Gadelha: Advisory Board Member; Self; Novo Nordisk, Recordati, Crinetics Pharmaceuticals. Speaker; Self; Recordati, Ipsen, Crinetics, Novo Nordisk. J. Bertherat: Consulting Fee; Self; Atterocor, Shire, HRA Pharmaceuticals, Novartis Pharmaceuticals, Corcept Therapeutics, Recordati. Grant Recipient; Self; Novartis Pharmaceuticals, Pfizer, Inc., HRA Pharmaceuticals. Z. Belaya: None. A. Piacentini: Employee; Self; Recordati. A.M. Pedroncelli: Employee; Self; Recordati. M. Fleseriu: Consulting Fee; Self; HRA Pharmaceuticals, Recordati Rare Diseases, Sparrow, Xeris Pharmaceuticals (Strongbridge). Grant Recipient; Self; Recordati Rare Diseases, Sparrow, Xeris Pharmaceuticals (Strongbridge). Research Investigator; Self; served on the LINC 3 steering committee. Introduction: Phase II (LINC 2, NCT01331239) and Phase III (LINC 3, NCT02180217; LINC 4, NCT02697734) studies showed that osilodrostat, a potent oral 11β-hydroxylase inhibitor, was an effective long-term therapy for Cushing’s disease (CD) patients (pts). Objective: This pooled analysis of the LINC program examined how dosing, including dose uptitration and adjustments during long-term maintenance, can provide rapid, sustained mUFC control, minimize AEs and improve treatment outcomes. Methods: Individual pt data from LINC 2, LINC 3 and LINC 4 were pooled and analyzed. Given differences in study designs across trials, placebo treatment periods were excluded. Pts with mUFC >1.5 times the upper limit of normal (ULN) (LINC 2 and LINC 3) or mUFC >1.3 x ULN (LINC 4) were enrolled. In LINC 2, pts started open-label osilodrostat 2 mg twice daily (bid), with dose increases every 2 weeks (W) if mUFC >ULN. In LINC 3, pts started open-label osilodrostat 2 mg bid, with dose increases every 2W until W12 if mUFC >ULN, then every 4W after W12. In LINC 4, pts were randomized to osilodrostat 2 mg bid or placebo for the first 12W. Dose was increased every 3W until W12 if mUFC >ULN and every 3W after W12. Maximum dose was 30 mg bid in all studies (reduced from 50 mg bid in LINC 2 core phase). Dose adjustments were permitted during the extensions based on efficacy and tolerability. Results: This analysis included 229 pts. Median (min-max) osilodrostat exposure was 100.1 weeks (1–351). Median (min–max) daily osilodrostat dose was 6.8 mg/day (1–47); dose needed to achieve mUFC control varied widely between pts. Median time to first mUFC control was 35 days (D; 95% confidence interval [CI] 34–41) in all pts; according to baseline (BL) mUFC severity: mUFC <2 x ULN, 28D (95% CI 17–34); mUFC 2–5 x ULN, 40D (95% CI 34–42); mUFC >5 x ULN, 52D (95% CI 41–56). Median time to first AE of special interest (AESI) was 12W (95% CI 10–15); AESIs occurred at different osilodrostat doses. AEs related to hypocortisolism (BL to W12, 23%; W12–48, 24%; W48–72, 8%; W72 onwards, 20%) and accumulation of adrenal hormone precursors (BL to W12, 36%; W12–48, 37%; W48–72, 14%; W72 onwards, 18%) were less frequent during long-term maintenance than dose titration. AESIs were mostly manageable with dose interruption and/or additional therapy; few patients discontinued treatment as a result (hypocortisolism-related AEs, n=8; adrenal hormone precursor accumulation-related AEs, n=3). Conclusions: Osilodrostat led to sustained mUFC control in all 3 studies; time to control was shorter in pts with lower BL mUFC values. Median daily osilodrostat dose was low but varied widely. Dose titration regimens differed for each study, but AESIs were less frequent during long-term treatment than dose uptitration and were manageable in most pts without stopping treatment. Personalized therapy during dose titration and lifelong monitoring are needed to optimize clinical outcomes in CD pts. Presentation: Thursday, June 15, 2023

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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,212

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,015
Tête enseignante GPT0,311
Écart entre enseignants0,297 · 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'étudeObservationnel
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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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