P034 Assessment of age as a risk factor for adverse events in patients from the tofacitinib ulcerative colitis clinical program
Notice bibliographique
Résumé
BACKGROUND: Tofacitinib is an oral, small molecule JAK inhibitor for the treatment of ulcerative colitis (UC). Safety and efficacy of tofacitinib were demonstrated in Phase (P) 2/3 induction studies (NCT00787202; NCT01465763; NCT01458951), a 52-week, P3 maintenance study (NCT01458574), and are being further investigated in an ongoing, open-label, long-term extension (OLE) study (NCT01470612). This analysis assessed age as a risk factor for adverse events (AEs) in the tofacitinib UC clinical program. METHODS: Analyses of AEs were performed for 2 cohorts: the Maintenance Cohort (patients who received placebo or tofacitinib 5 or 10 mg twice daily in the maintenance study) and the Overall Cohort (all tofacitinib-treated patients in the P2/P3/OLE studies [as of December 2016]), stratified by age (≥65 years vs <65 years). AEs of special interest included serious infections (SIs), opportunistic infections (OIs), herpes zoster (HZ), malignancies (excluding non-melanoma skin cancer [NMSC]), NMSC, major adverse cardiovascular events (MACE), and gastrointestinal perforations. Risk factors (based on baseline characteristics) for SIs, OIs, HZ, and NMSC in the Overall Cohort were evaluated using multivariate Cox proportional regression models. RESULTS: AEs occurred in 75.3% (placebo) and 75.9% (tofacitinib) of patients in the Maintenance Cohort, and 82.1% in the Overall Cohort (in which 83.9% received predominantly tofacitinib 10 mg twice daily). Most patients (Maintenance Cohort: 180/198 [90.9%] and 364/394 [92.4%] receiving placebo and tofacitinib, respectively; Overall Cohort: 1,080/1,157 [93.3%]) were aged <65 years. In both the placebo and tofacitinib groups of the Maintenance Cohort, rates of AEs, serious AEs, severe AEs, and discontinuations due to AEs were numerically higher in patients aged ≥65 years (placebo: 83.3%, 11.1%, 11.1%, and 22.2%; tofacitinib: 80.0%, 16.7%, 10.0%, and 16.7%) vs <65 years (placebo: 74.4%, 6.1%, 9.4%, and 18.3%; tofacitinib: 75.5%, 4.4%, 7.1%, and 8.8%). AEs of special interest were generally infrequent in both the placebo and tofacitinib groups of the Maintenance Cohort. In the Overall Cohort, AE, serious AE, and severe AE rates were numerically higher in patients aged ≥65 years (88.3%, 19.5%, and 15.6%) vs <65 years (81.7%, 14.3%, and 12.2%). OI, HZ, malignancies (excluding NMSC), NMSC, and MACE rates were numerically higher in patients aged ≥65 years (3.9%, 14.3%, 2.6%, 5.3%, and 2.6%) vs <65 years (1.7%, 5.0%, 0.6%, 0.7%, and 0.2%); SI and gastrointestinal perforation rates were similar between age groups (≥65 years: 2.6% and 0.0%; <65 years: 2.9% and 0.4%). In multivariate modeling in the Overall Cohort, increasing age (every 10 years) was associated with increased risk of OIs (hazard ratio [95% confidence interval] 1.54 [1.15, 2.08]) and HZ (1.58 [1.34, 1.87]), but not SIs or NMSC (univariate modeling: 1.0 [0.78, 1.27] and 2.31 [1.46, 3.66]). CONCLUSION(S): In the tofacitinib UC program, AE rates were higher among patients aged ≥65 years vs those aged <65 years, regardless of whether they received tofacitinib or placebo. In multivariate analyses, older age was associated with increased OI and HZ risk. Although this is consistent with the general population, due to the small number of patients aged ≥65 years (<10% of the total), these findings should be interpreted with caution.
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 | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».