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Enregistrement W4411410510 · doi:10.1016/j.ard.2025.06.1399

ABS0774 PUSTULAR PSORIASIS IS LINKED TO A SEVERE DISEASE PHENOTYPE IN PSORIATIC ARTHRITIS

2025· article· en· W4411410510 sur OpenAlexaff
V. Carrizo Abarza, Pankti Mehta, Fadi Kharouf, Sheng Gao, Richard J. Cook, Maria Rodríguez-Herrera, Cheryl F. Rosen, Dafna D. Gladman, V. Chandran, D. Poddubnyy

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiquePsoriasis: Treatment and Pathogenesis
Établissements canadiensUniversity of WaterlooKrembil FoundationToronto Western Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicinePsoriatic arthritisPsoriasisDermatologyPustular psoriasisDiseaseArthritisImmunologyPathology

Résumé

récupéré en direct d'OpenAlex

Background: Psoriatic arthritis (PsA) is a chronic inflammatory disease, most commonly associated with chronic plaque psoriasis. Pustular psoriasis, a challenging form of psoriasis, significantly impacts quality of life of patients with psoriasis and may differ in disease course compared to chronic plaque psoriasis. However, data on the impact of pustular psoriasis on the clinical phenotype and outcomes of PsA remain scarce. Objectives: To determine whether pustular psoriasis affects the phenotype, as well as the clinical and radiographic outcomes, in PsA patients compared to chronic plaque psoriasis/sebopsoriasis. Methods: We analyzed data from a prospective observational cohort of PsA patients meeting CASPAR criteria. Patients were categorized into two groups: (1) Pustular psoriasis (generalized pustular, pustular and palmoplantar pustular psoriasis) and (2) Chronic plaque psoriasis and sebopsoriasis. Patients with pustular psoriasis could simultaneously exhibit other psoriasis subtypes but were defined by the pustular phenotype. Baseline demographics, disease-related characteristics, and disease activity measures were compared using descriptive statistics. Generalized estimating equations (GEE) were employed to assess associations between psoriasis subtypes and disease outcomes. Results: Among 1,595 PsA patients, 93 (5.8%) had pustular psoriasis subtypes. Compared with patients with chronic plaque psoriasis/sebopsoriasis, those with pustular psoriasis were older at PsA onset (40.6 vs. 38.5 years) and had a higher BMI (30.6 vs. 28.9). They were also more likely to be ever-smokers (54.8% vs. 42.3%). No differences in body surface area affected by psoriasis (BSA) were observed between the groups; however, patients with pustular psoriasis had higher DLQI scores (median [IQR]: 3.5 [1.0, 10.0] vs. 2.0 [1.0, 6.0]) and DAPSA scores (23.3 [12.3, 41.0] vs. 18.0 [10.0, 31.0]). Nail disease was more prevalent in the pustular group (63.4% vs. 50.7%), as was enthesitis (28.3% vs. 18.4%). However, dactylitis was less frequent (20.7% vs. 27.4%). Lower modified Steinbrocker score was found in the pustular group (median [IQR]: 0.0 [0.0, 5.5] vs. 2.0 [0.0, 10.0]), while the prevalence of axial disease, including radiographic sacroiliitis and syndesmophytes, was similar between groups. Patients with pustular psoriasis reported greater pain (mean [SD]: 4.8 [2.8] vs. 4.3 [2.7]), worse global disease activity assessment (5.1 [2.8] vs. 4.2 [2.7]), and higher HAQ disability scores (0.9 [0.7] vs. 0.7 [0.7]) - Table 1. Subgroup analysis (Table 2) showed that generalized pustular psoriasis patients had the highest BMI and DAPSA scores at clinic entry, while palmoplantar pustular psoriasis was associated with more frequent enthesitis and nail involvement. Other characteristics among the pustular subtypes did not show significant differences (Table 2). GEE models revealed no significant associations between pustular psoriasis and worse outcomes across disease activity measures compared with chronic plaque/sebopsoriasis patients. Conclusion: PsA patients with pustular psoriasis present with a more severe PsA phenotype characterized by higher disease activity, worse quality of life and functional impairment compared with those with chronic plaque psoriasis/sebopsoriasis. REFERENCES: NIL . Table 2Characteristics of PsA patients with different pustular psoriasis subtypes at clinic entry.VariablesGeneralized Pustular Psoriasis(n=13)Pustular Psoriasis(n=15)Palmoplantar Psoriasis(n=65)Age at diagnosis of PsA in years, mean (SD)42.6 (13.9)37.7 (11.5)40.9 (13.8)Age at diagnosis of psoriasis in years, mean (SD)31.8 (17.7)27.5 (14.2)31.7 (14.7)Sex (male), n (%)4 (30.8)11 (73.3)30 (46.2)Ever smoking, n (%)10 (76.9)7 (46.7)34 (52.3)BMI in kg/m2, mean (SD)35.3 (8.7)31.2 (6.2)29.6 (7.5)SJC (0-66), median [IQR]1.0 [0.0, 6.0]1.0 [0.0, 2.0]1.0 [0.0, 4.0]TJC (0-68), median [IQR]6.0 [5.0, 11.0]2.0 [0.0, 5.0]4.0 [2.0, 10.0]Dactylitis, n (%)4 (30.8)4 (26.7)11 (17.2)Enthesitis, n (%)2 (15.4)3 (20.0)21 (32.8)BSA, median [IQR]2.5 [2.0, 22.7]3.0 [1.0, 5.0]2.0 [1.0, 4.0]Nail Disease, n (%)11 (84.6)9 (60.0)39 (60.0)DAPSA, median [IQR]62.5 [34.0, 106.7]12.7 [6.9, 15.2]37.0 [19.9, 47.1]DLQI, median [IQR]4.0 [1.0, 8.0]5.0 [1.5, 8.5]3.0 [1.0, 10.0]Modified Steinbrocker score, median [IQR]0.0 [0.0, 9.0]0.0 [0.0, 10.0]0.0 [0.0, 4.0]Syndesmophytes, n (%)1 (9.1)13 (100.0)7 (13.7)Radiographic Sacroiliitis*, n (%)4 (36.4)1 (7.7)13 (25.5)HLA-C*6 positive, n (%)3 (25.0)2 (16.7)9 (17.0)HAQ disability index, mean (SD)1.2 (0.7)0.8 (0.8)0.9 (0.6)SD, standard deviation; PsA, psoriatic arthritis; BMI, body mass index; SJC, swollen joint count; TJC, tender joint count; BSA, Body Surface Area; DAPSA, Disease Activity Index for Psoriatic Arthritis; DLQI, Dermatology Life Quality Index; HLA, human leukocyte antigen; HAQ, Heath Assessment Questionnaire. * According to the mNY criteria Acknowledgements: NIL . Disclosure of Interests: Virginia Carrizo Abarza: None declared, Pankti Mehta: None declared, Fadi Kharouf: None declared, Shangyi Gao: None declared, Richard Cook: None declared, Maria G Rodriguez-Herrera: None declared, Cheryl F. Rosen Novartis, Abbvie, Astra Zeneca, Incyte, Abbvie, Amgen, Novartis, UCB and Pfizer, Dafna D. Gladman AstraZeneca, Abbvie, Amgen, BMS, Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Abbvie, Amgen, Eli Lilly, Janssen, Novartis, Pfizzer, UCB, Vinod Chandran AbbVie, BMS, Eli Lilly, Fresenius Kabi, Johnson and Johnson, Novartis, UCB, AbbVie, Eli Lilly, Denis Poddubnyy AbbVie, Canon, DKSH, Eli Lilly, Janssen, MSD, Medscape, Novartis, Peervoice, Pfizer, and UCB, AbbVie, Biocad, Bristol-Myers Squibb, Eli Lilly, Janssen, Moonlake, Novartis, Pfizer, and UCB, AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, UCB. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,007
Score d'incertitude au seuil0,023

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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 Opus0,022
Tête enseignante GPT0,275
Écart entre enseignants0,253 · 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 source (Gemma direct ou Codex distillé), 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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