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Record 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 on 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

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsUniversity of WaterlooKrembil FoundationToronto Western Hospital
Fundersnot available
KeywordsMedicinePsoriatic arthritisPsoriasisDermatologyPustular psoriasisDiseaseArthritisImmunologyPathology

Abstract

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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.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.275
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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