Serious infections in patients with self-reported psoriatic arthritis from the Psoriasis Longitudinal Assessment and Registry (PSOLAR) treated with biologics
Bibliographic record
Abstract
Abstract Background Patients with psoriatic arthritis (PsA) have increased risk of adverse events, including serious infections (SI), compared with psoriasis patients. Methods Patients eligible for, or receiving conventional systemic and biologic agents for psoriasis were followed prospectively using PSOLAR. Cohorts included: ustekinumab, tumor necrosis factor (TNF) inhibitors; infliximab; etanercept; adalimumab; non-biologic/methotrexate (MTX) (reference group); and non-biologic/non-MTX. Multivariate analyses using Cox hazard regression were used to identify factors associated with time to first SI. Rates of SI in PSOLAR psoriasis patients with self-reported PsA and possible risks with biologic therapy were evaluated. Results PSOLAR enrolled 4315 psoriasis patients with self-reported PsA. The overall population ( N = 2401) included patients (n): 628 ustekinumab; 1413 TNF inhibitors; 258 infliximab; 481 etanercept; 674 adalimumab; 54 other biologics, 98 non-biologic/MTX; 208 non-biologic/non-MTX. Overall, 138 SI were reported with incidence rates per 100 patient-years as follows: a) ustekinumab: 1.00; b) TNF inhibitors: 2.22; c) infliximab: 2.12; d) etanercept: 2.58; e) adalimumab: 1.99; f) non-biologic/MTX: 3.01; g) and non-biologic/non-MTX: 2.31. Age, time-dependent disease activity Physician’s Global Assessment (PGA) of 4, 5, history of infection, and diabetes were associated with increased risk for SI ( p < 0.05) in self-reported PsA patients. Biologic groups, other than ustekinumab, had numerically higher rates of SI. Conclusions PSOLAR psoriasis patients with self-reported PsA in the TNF inhibitors, infliximab, adalimumab, etanercept, and MTX cohorts had numerically higher SI rates than the ustekinumab cohort, although not statistically significant. Age, PGA 4, 5, history of infection, and diabetes were associated with an increased risk for SI, irrespective of biologic exposure. Trial registration NCT00508547 ; Registered July 30, 2007.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".