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Enregistrement W4413878180 · doi:10.1111/ijd.70051

No Increased Risk of Thromboembolic Events During 6‐Month Treatment With Baricitinib in Patients With Alopecia Areata

2025· article· en· W4413878180 sur OpenAlexaff
Giacomo Caldarola, Antonietta Ferretti, Lorenzo Maria Pinto, Leonardo Di Gennaro, Eleonora De Luca, Gennaro Marco Falco, Clara De Simone, Raimondo De Cristofaro, Ketty Peris

Notice bibliographique

RevueInternational Journal of Dermatology · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAutoimmune Bullous Skin Diseases
Établissements canadiensUniversity Hospital Foundation
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineLupus anticoagulantRheumatoid arthritisRheumatoid factorRisk factorFamily historyThrombosis

Résumé

récupéré en direct d'OpenAlex

In January 2023, the European Medicines Agency (EMA) issued an alert on venous thromboembolism (VTE) risk linked to Janus kinase inhibitors (JAKi) in chronic inflammatory diseases, based on post-marketing data from rheumatoid arthritis (RA) patients treated with tofacitinib [1]. However, this may be biased, as RA is itself a known independent risk factor for VTE. Furthermore, JAKi vary in enzyme selectivity and thus in their effects [2]. The present study aimed: (1) to investigate VTE risk factors in a cohort of patients with alopecia areata (AA) eligible for baricitinib therapy and (2) to assess any change in laboratory VTE markers after 6 months of baricitinib treatment. A prospective observational study was conducted involving patients aged ≥ 18 years with moderate-to-severe AA, who were candidates for baricitinib 4 mg treatment, and who consecutively presented at our department between July 2023 and July 2024. Baseline demographic and clinical data were collected at the screening visit and reported in Table 1. In addition, a thorough medical history was obtained to identify patients with major (a previous VTE episode) or minor (smoking status, active malignancies, prior thrombophlebitis, family history of VTE, recent trauma or fractures, use of estrogen-progestin contraceptives, prolonged immobilization, major recent surgeries, and recurrent miscarriages) clinical risk factors for VTE. Furthermore, antiphospholipid antibodies (lupus anticoagulant, anti-cardiolipin, anti-β2 glycoprotein I), antithrombin III, protein C, protein S, homocysteine, and factor VIII levels were evaluated at baseline and after 6 months of treatment. Genetic risk factors for VTE, such as prothrombin G20210A and factor V Leiden mutation, were also evaluated at baseline. The characteristics of these factors and their role in VTE risk have been reported in Mendeley Table S1 (https://doi.org/10.17632/8288gnw6fh.1). Treatment with baricitinib would have been contraindicated in the presence of a major risk factor or two minor ones. Forty-seven patients with moderate-to-severe AA were assessed for eligibility for baricitinib treatment and were included in the study. None of the screened patients presented a contraindication to the treatment according to the previously reported criteria. In detail, regarding clinical VTE risk factors at baseline, 8/47 (17%) patients were active smokers, 5 women (10.6%) were using combined estrogen-progestin contraceptive pills, and one (2.1%) patient had a history of superficial thrombophlebitis. The major and minor laboratory risk factors for VTE at baseline are listed in Table 2. None of our patients presented major risk factors. During baricitinib treatment, no thrombotic events occurred, although two patients (4.2%) experienced bone fractures, which are known clinical risk factors for VTE. After 6 months of continuous therapy, laboratory examinations were performed in 37/47 patients, showing no changes in the majority of patients (Table 2 and Mendeley Table S2 (https://doi.org/10.17632/8288gnw6fh.1)) but a significant decrease in mean Factor VIII levels (119.1% to 101.8%, p = 0.019). Our study demonstrated that none of the enrolled AA patients showed either VTE or an increased risk of developing VTE, and this is in line with large-scale observational studies [3]. Moreover, no changes in laboratory VTE risk factors were detected during treatment with baricitinib, and instead, a significant reduction in Factor VIII was observed. This is an inflammatory marker and is considered one of the causative factors of the increased risk of VTE in RA patients [4]. Our finding is in line with the data from the baricitinib AA clinical trial programme, which reported that the incidence rate of VTE in the treatment groups was low (0.10 per 100 patient-years) [5]. The small sample size and the short follow-up period are the main limitations of our study. The main strength of this study is that it represents the first comprehensive evaluation of the predisposition of patients with AA undergoing baricitinib treatment to VTE events. In conclusion, our findings suggest that patients who are candidates for baricitinib treatment can be reassured about the risk of developing VTE adverse events. We emphasize that, in clinical practice, comprehensive thrombosis screening is not routinely required before starting JAKi therapy, except in patients with specific clinical risk factors, such as a personal or family history of thrombotic events or recurrent miscarriages. If laboratory tests identify risk factors for VTE, a consultation with a specialist can help determine whether prophylactic strategies are warranted or if an alternative treatment approach would be more suitable. Ethical committee approval was not required, as all diagnostic procedures performed were part of standard clinical practice and did not involve any interventions beyond routine patient care. The patients in this manuscript have given written informed consent to publication of their case details. G. Caldarola has received consulting fees, honoraria, and support for attending meetings from Abbvie, Lilly, Janssen, UCB, Novartis, and Leo Pharma; C. De Simone has received support for consulting fees, honoraria, and support for attending meetings from Abbvie, Lilly, Janssen, UCB, Leopharma, Sanofi, Almirall, Boehringer Ingelheim, and Bristol Myer Squibb; K. Peris has received support for consulting fees and honoraria from Abbvie, Almirall, Biogen, Celgene, Janssen, Galderma, Novartis, Lilly, Novartis, Pierre Fabre, Sandoz, Sanofi, and Sun Pharma outside of the submitted paper. All other authors declare that they have no conflicts of interest relevant to this manuscript. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

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 enseignants0,011
Score d'incertitude au seuil0,429

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 recherche0,0000,000
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 Opus0,004
Tête enseignante GPT0,244
Écart entre enseignants0,241 · 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
Publié2025
Routes d'admission1
Résumé présentoui

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