Health-related quality of life in patients with generalized pustular psoriasis – a Swedish register study
Bibliographic record
Abstract
Background: Real-world data on health-related quality of life (hRQol) in generalized pustular psoriasis (GPP) are scarce and studies have been restricted in terms of instruments used for assessments.Objective: to assess generic and dermatology-specific hRQol of patients with GPP compared with patients with plaque psoriasis using real-world data from the swedish National Register for systemic treatment of Psoriasis.Methods: cross-sectional data from 2006 to 2021 including 7041 individuals with plaque psoriasis without GPP and 80 patients with GPP, of which 19% also had plaque psoriasis.total scores for the euroQol-5 Dimensions (eQ-5D) and Dermatology life Quality index (DlQi), as well as degree of severity within the instruments' dimensions/questions, were compared between patient groups.Results: eQ-5D scores were significantly (p < .01)lower (worse) in patients with GPP (mean [standard deviation (sD)] 0.613 [0.346]) vs. patients with plaque psoriasis (mean [sD] 0.715 [0.274]), indicating lower generic hRQol of patients with GPP.significantly (p < .01)higher (worse) total DlQi scores were observed for patients with GPP (mean [sD] 10.6 [8.9]) compared with patients with plaque psoriasis (mean [sD] 7.7 [7.1]), with proportionally more patients with GPP having severe (20% vs. 16%) and very severe (17% vs. 8%) problems.the worsened scores for GPP vs. plaque psoriasis were consistent across eQ-5D dimensions and DlQi questions.Conclusions: individuals with GPP have a considerable impairment in both generic and dermatology-specific hRQol.the hRQol was significantly worse in individuals with GPP compared to individuals with plaque psoriasis.the significant hRQol impairment of GPP shows the potential value of better healthcare interventions for this multisystem disease. KEY MESSAGES• the study assessed health-related quality of life (hRQol) in patients with generalized pustular psoriasis (GPP) compared to patients with plaque psoriasis using real-world data from the swedish National Register for systemic treatment of Psoriasis.• the results showed significantly worse hRQol scores by two different hRQol instruments and Dermatology life Quality index [DlQi]) in patients with GPP compared to patients with plaque psoriasis.• the study indicates that individuals with GPP have a considerable impairment in both generic and dermatology-specific hRQol.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".