Impact of psoriasis severity on patient-reported clinical symptoms, health-related quality of life and work productivity among US patients: real-world data from the Corrona Psoriasis Registry
Bibliographic record
Abstract
Objectives This analysis examined the association between psoriasis severity, assessed by body surface area (BSA) and the Investigator’s Global Assessment (IGA; previously used only in clinical trials), and patient-reported outcomes (PROs) in a real-world setting. Design Cross-sectional analysis within the Corrona Psoriasis Registry, an independent, prospective registry. Setting 70 dermatology practices in the USA. Participants 1529 adult patients with psoriasis being treated with biological or non-biological systemic psoriasis treatment by 31 May 2016. Primary and secondary outcome measures Psoriasis severity was assessed by percentage of affected BSA (mild (0%–5%), moderate (>5%–10%), severe (>10%–15%), very severe (>15%)) and IGA scores (clear/almost clear (0–1), mild (2), moderate (3), severe (4)). PROs (pain, itch, fatigue; Dermatology Life Quality Index [DLQI]; EuroQoL Visual Analogue Scale [EQ-VAS]; Work Productivity and Activity Impairment [WPAI]) were compared across BSA and IGA levels using analysis of variance and X 2 tests. The association between psoriasis severity and PROs was examined using multivariable regression models. Results The mean age was 50.6 years and 47% of patients were female. Consistently with more severe psoriasis, symptoms worsened, DLQI scores increased (p<0.05 for each level of BSA and IGA), EQ-VAS decreased (p<0.05 for each level of BSA and IGA) and WPAI scores increased. By BSA score, moderate to very severe psoriasis was associated with poorer outcomes for the ‘impairment while working’ and ‘daily activities impaired’ WPAI domains (all p<0.05 vs mild psoriasis). Very severe psoriasis was associated with increased ‘work hours missed’ and ‘work hours affected’ (both p<0.05 vs mild psoriasis) Findings were similar by IGA. Results were confirmed by multivariable regression analyses. Conclusions In a real-world setting, more severe psoriasis, assessed by BSA and IGA, was consistently associated with worse PROs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".