Performances of inflammatory back pain criteria in axial psoriatic arthritis
Bibliographic record
Abstract
Rheumatology key message The inflammatory back pain criteria have limitations in axial PsA with moderate sensitivity. Sir, The frequency of axial involvement in PsA is reported in a range of 24–78% [1, 2]. Additionally subclinical axial involvement, defined by the lack of clinical features for axial disease but the presence of spondylitic changes or sacroiliitis, is ∼20% [3]. Despite the high frequency of axial disease there is not a consensus on how to screen for spine involvement in PsA. Tools for spine disease in PsA are usually developed for AS initially, followed by studies to validate in PsA. However, there are major differences, such as axial PsA (axPsA) is usually considered to be a milder disease then AS, with fewer limitations, and the literature suggests that axPsA should be considered as a separate entity [4]. To date, the performance of different criteria has not been tested in PsA. In this study we aimed to test the performances of different inflammatory back pain (IBP) criteria in a real-life setting, taking physicians’ judgement of axPsA, having sacroiliitis fulfilling the modified New York criteria or a positive MRI for sacroiliitis as a gold standard. The Psoriatic Arthritis Registry of Turkey (PsART) was established in 2014 and includes 32 rheumatology centres across Turkey. Ethics approval for the PsART was obtained and all patients gave written informed consent prior recruitment. No additional ethical approval was required for this study. PsART data are collected using a web-based system (www.trials-network.org) following the recommendations of a survey led by the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis. The details of the registry have been previously explained in detail [5]. The presence of axPsA was based on the physician’s judgement and IBP was investigated in these patients using the Calin, Assessment of SpondyloArthritis international Society (ASAS) and Berlin criteria separately [6–8]. There are no specific imaging requirements for PsART beyond local practice for individual centres. If plain radiographs were available, physicians were encouraged to send images for central reading. In case of MRI scans, the assessment by the local radiologist was recorded. Different sets of IBP criteria were tested for their sensitivity to detect axial disease according to the physician. Further analysis was made according to gender. Data from the first 1195 patients recruited to PsART were analysed [774 women (64.8%)], 415 (35%) of which were classified as having axPsA by the physician. A total of 314 of these patients had the IBP questionnaires completed and 264 patients (84%) fulfilled at least one set of IBP criteria. Among the different IBP features, duration of pain (>3 months), morning stiffness and being <40 years old at onset were the most frequent findings, with nocturnal awakening in the second half of the night being the least frequent finding (Table 1). The sensitivity of each criteria for IBP was comparable for the Berlin and Calin criteria and lower for the ASAS criteria, especially in women (Table 1). There was moderate agreement between different criteria (κ = 0.71–0.74). Forty-nine (15.7%) subjects were classified as having axial disease according to the rheumatologist despite not fulfilling any of the IBP criteria, the majority of which were women (21.1% women vs 8.2% men; P = 0.002). For the IBP criteria and sacroiliitis on imaging, complete agreement between the Calin IBP criteria and imaging [147/207 (71%)] was slightly higher than the Berlin [142/207 (68.6%)] and ASAS criteria [134/207 (64.7%)]. For 170 patients that were positive for sacroiliitis on imaging, the sensitivity of the ASAS criteria was again lowest (62.9%), being even lower for women (59.4%) (Table 1). Positivity of each item and different sets of criteria for IBP Positivity of each item and different sets of criteria for IBP There are similarities between the spine disease in PsA and AS that have led to the concept of lumping these under the same umbrella, but at the same time there are also well-known differences, such as axial disease being less severe in PsA, differences in radiographic features and corresponding functional impairment [4]. To the best of our knowledge, this is the first study that has investigated different IBP criteria in axPsA. This study shows that the IBP criteria have limitations in axPsA. Among different criteria, the Calin criteria performed better for being more frequently positive in patients who had the diagnosis of axPsA similar to having a better agreement with imaging. The low sensitivity was especially seen in women. Approximately half of the women were still diagnosed as having axPsA despite not fulfilling the ASAS IBP criteria. The low sensitivity of the questionnaires may be one of the reasons why patients’ axial disease is not diagnosed clinically despite having the imaging findings. As a limitation, our data only included patients with axPsA and not any patients with mechanical back pain, therefore our data focus on the sensitivity and not the specificity. In conclusion, the IBP criteria have limitations in axPsA with moderate sensitivity and may lead to underdiagnosing axPsA, especially with a poorer sensitivity in women. The authors would like to thank all the collaborators of PsART. We would also like thank Drs Laure Gossec and Helena Marzo-Ortega for their criticisms and advice for improving the protocol and the manuscript. Funding: No specific funding was received from any bodies in the public, commercial or not-for-profit sectors to carry out the work described in this article. Disclosure statement: S.A. has received research grants and honoraria from AbbVie, Novartis, Pfizer, UCB and Sanofi. All other authors have declared no conflicts of interest.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".