Abstract 9057: Anti-inflammatory Effect of Biologic Therapy in Patients With Psoriatic Disease: A Prospective Cohort Fdg-pet Study
Bibliographic record
Abstract
Introduction: Psoriatic arthritis (PsA) and cutaneous psoriasis (PsO) are linked with an increased risk of adverse cardiovascular events. Hypothesis: Central vascular inflammation (VI) as measured on F-18-fluorodeoxyglucose (FDG) positron emission tomography (PET) in the ascending aorta will improve in patients following therapy with biologic agents compared to PsO patients receiving non-biologic therapy and controls. We also postulate that in patients responding to biologics, there will be an improvement in coronary microvascular dysfunction as measured by myocardial blood flow reserve (MFR) determined by rubidium-82 (82Rb) PET. Methods: We studied 3 patient cohorts (patients with PsA and/or PsO started on biologic agents, patients with PsO managed on non-biologic therapy, and patients with non-inflammatory arthritis). The primary outcome of our study was the change in VI, estimated as the target-to-background ratio by FDG PET in the most diseased segment of the ascending aorta at baseline compared to 6-month follow-up (TBRmax). We also performed 82Rb PET studies at baseline and 6-month follow-up to determine any changes on left ventricular MFR. Results: 34 participants were enrolled in the study (11 PsA and/or PsO patients on biologic agents, 13 patients in PsO group managed on non-biologic therapy, and 10 in the non-inflammatory control group). A significant drop in the thoracic aorta uptake was observed in the biologic-treated group (change in TBRmax: -0.46±0.55) when compared to the the PsO group treated with non-biologic therapy (change in TBRmax: 0.23±0.67). The group with imaging evidence of a response to biologic agents (i.e. TBRmax drop greater than median value) maintained MFR (change in MFR of 0.05±0.19) when compared to the group with a response on TBRmax that was below the median, which had a drop in MFR (-2.9±0.8) (P=0.03). Conclusions: VI in the thoracic aorta decreased compared to psoriasis patients treated with non-systemic therapies and controls. Psoriasis patients treated with biologics who demonstrated a significant response on FDG PET imaging, maintained their MFR compared to non-responders. There is a positive impact of immune therapies on VI and microvascular disease in patients with chronic inflammation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".