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Impact of Depression and Anxiety on the Components of Minimal Disease Activity (MDA) in Patients with Psoriatic Arthritis

2025· article· en· W4411846630 on OpenAlexaffvenue
V. Carrizo Abarza, Fadi Kharouf, Pankti Mehta, Daniel Pereira, Richard J. Cook, Denis Poddubnyy, Dafna Gladman, Vinod Chandran

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsUniversity Health NetworkToronto Western HospitalKrembil FoundationUniversity of WaterlooUniversity of Toronto
Fundersnot available
KeywordsMedicinePsoriatic arthritisDepression (economics)AnxietyArthritisDermatologyPsoriasisInternal medicineDiseasePhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

Objectives To investigate whether the presence of depression and anxiety affects the components of Minimal Disease Activity (MDA) in patients with Psoriatic Arthritis (PsA). Methods We included adult patients diagnosed with PsA and meeting CASPAR criteria, prospectively followed from 2008 to 2024. We defined the presence of depression/anxiety by 1 of 3 criteria: (1) a score of ≤38 on the SF-36 Mental Component Summary (MCS), (2) a score of ≤56 on the SF-36 Mental Health domain, or (3) a rheumatologist’s report of a diagnosis or treatment for depression/anxiety. Generalized Estimating Equations (GEE) were utilized to evaluate the association between depression/anxiety and being in a state of MDA, as well as each of the following components of MDA: tender joint count (TJC) ≤1, swollen joint count (SJC) ≤1, Psoriasis Activity and Severity Index (PASI) ≤1 or body surface area (BSA) ≤3%, pain Visual Analog Scale (VAS) score ≤15, global disease activity VAS score ≤20, tender entheseal points ≤1, and Health Assessment Questionnaire (HAQ) score ≤0.5, as well as C-reactive protein (CRP). Results We analyzed data from 1130 PsA patients. Among them, 238 (22.2%) were identified with depression/anxiety according to definition 1, 242 (22.5%) according to definition 2, and 107 (9.6%) according to definition 3. In total, 267 patients (23.8%) met at least 1definition. The presence of depression and anxiety was associated with a 66% lower likelihood of being in MDA (OR 0.34, 95% CI 0.28-0.41, p<0.001). Patients with depression or anxiety were significantly less likely to meet several MDA components. The odds of achieving TJC ≤1 were reduced by 29% (OR 0.71, 95% CI 0.62-0.81, p<0.001), SJC ≤1 by 24% (OR 0.76, 95% CI 0.64-0.89, p<0.001), pain VAS ≤15 by 63% (OR 0.37, 95% CI 0.29-0.47, p<0.001), global VAS ≤20 by 73% (OR 0.27, 95% CI 0.22-0.33, p<0.001), and tender entheseal points ≤1 by 47% (OR 0.53, 95% CI 0.43-0.64, p<0.001). Additionally, patients had a 75% lower likelihood of achieving HAQ score ≤0.5 (OR 0.25, 95% CI 0.21-0.31, p<0.001). No significant association was found between depression/anxiety and PASI or BSA (OR 0.95, 95% CI 0.80-1.13, p=0.589), nor with CRP (OR 0.90, 95% CI 0.75-1.08, p=0.255). Conclusion In PsA patients, the presence of depression/anxiety reduces the odds of being in MDA. Both clinician-reported (TJC, SJC, enthesitis, PASI) and patient-reported (pain VAS, global VAS, HAQ) components of MDA are affected, with a greater impact seen in subjective domains.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.005
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.300
Teacher spread0.290 · 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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Citations1
Published2025
Admission routes2
Has abstractyes

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