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Record W2973074546 · doi:10.1111/bjd.18515

Musculoskeletal ultrasound can improve referrals from dermatology to rheumatology for patients with psoriasis

2019· letter· en· W2973074546 on OpenAlexaff
Dilek Solmaz, Sibel Bakırcı, Al Onazi, Noura Al Osaimi, S. Fahim, Sibel Zehra Aydın

Bibliographic record

VenueBritish Journal of Dermatology · 2019
Typeletter
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRheumatologyPsoriasisMedicineDermatologyUltrasoundInternal medicineMedical physicsRadiology

Abstract

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Dear Editor, Psoriasis affects 1–3% of the population, and up to one‐third of patients with psoriasis have underlying psoriatic arthritis (PsA).1 Nonspecific musculoskeletal complaints are even higher, occurring in around 50% of patients.2 Detecting early signs of PsA and providing early treatments are crucial to prevent progressive, damaging arthritis.3 Due to the high frequency of nonspecific pain in psoriasis, it is not possible for every patient with psoriasis with joint pain to be assessed by a rheumatologist. Different screening tools have been developed for the dermatology practice to distinguish patients with a higher likelihood of having PsA; however, the low specificities of these tools limit their use in clinical practice.4,5,6 Musculoskeletal ultrasound (US) has been shown to be more sensitive than physical examination to detect joint inflammation.7 It has been used commonly in rheumatology practice for diagnosis and follow‐up of patients with inflammatory arthritis including PsA. We hypothesize that a screening US could add value to improve referrals from dermatology to rheumatology for patients with psoriasis with joint pain. To test our hypothesis a prospective study on patients with psoriasis with any joint pain was carried out (Ottawa Health Science Network Research Ethics Board, Ottawa: 20160386‐01H). Exclusion criteria included already known diagnosis of PsA, recent trauma or surgery of the painful joints, and pregnancy. After giving informed consent, patients had an US scan on the same day as their clinical assessment by one of two experienced rheumatologists in musculoskeletal US, blinded to the clinical examination findings (S.B. or D.S.). A predefined limited US protocol was performed, examining the wrists and 2–3rd metacarpophalangeal, 2–3rd proximal interphalangeal and 2–5th metatarsophalangeal joints for synovitis, and also Achilles enthesitis and the most painful joint. The US scoring system included a semiquantitative scoring of inflammation (none, mild, moderate, severe) for both grey‐scale and Doppler findings. A similar approach was used to compare the inflammatory entheseal findings. The Early Arthritis for Psoriatic Patients6 and Psoriasis Epidemiology Screening Tool5 questionnaires were completed by the patients. After reviewing these questionnaires the dermatologist was asked to make a decision on the indication to be referred to rheumatology. Then, the US information was shared with the dermatologist using a standard report form, and the decision of referral was revisited. The patients were then assessed by a rheumatologist. The accuracy of the referrals based on the questionnaires and dermatologist's assessment was investigated and the added value of US was analysed. Fifty‐one patients with psoriasis with a median age of 48 years (interquartile range 38–60, range 21–68) were enrolled. The most common psoriasis type was plaque psoriasis (86%), with a median 15 years (interquartile range 6–30, range 2–58) of disease duration. PsA was diagnosed in 20 patients (39%) according to the rheumatologist. Based on the questionnaires, the dermatologist decided to refer 47 patients (92%) with psoriasis to rheumatology. Among these 19 (40%) were diagnosed with PsA, showing high sensitivity (95%) but low specificity (9%) of the referrals based on clinical assessment only. After reviewing the US scans, 22 patients were referred to rheumatology, with a reduction of 53%. Among these, 15 (68%) were diagnosed with PsA. Among nonreferred patients, five were diagnosed with PsA but two had isolated axial involvement with no peripheral joint disease, for which the peripheral joint and entheseal US would not be expected to have any value. After exclusion of these cases, the sensitivity and specificity of the referral by the dermatologist were found to be 88% and 77%, respectively (Table 1). Performance of the questionnaire and added value of ultrasound (US) CI, confidence interval; EARP, Early Arthritis for Psoriatic Patients; LR, likelihood ratio; NPV, negative predictive value; OR, odds ratio; PEST, Psoriasis Epidemiology Screening Tool; PPV, positive predictive value. Performance of the questionnaire and added value of ultrasound (US) CI, confidence interval; EARP, Early Arthritis for Psoriatic Patients; LR, likelihood ratio; NPV, negative predictive value; OR, odds ratio; PEST, Psoriasis Epidemiology Screening Tool; PPV, positive predictive value. Timely referral of patients with psoriasis to rheumatology is an important step in the management of PsA and improves long‐term patient outcomes. Screening tools in psoriasis that have high sensitivities usually have low specificities, which means a higher number of patients to be referred to rheumatology than needed.4,8 This is a concern due to high patient loads within rheumatology clinics and long waiting times. Our study demonstrated that a musculoskeletal US based on a predefined protocol improves the referrals made to rheumatology. In conclusion, a screening musculoskeletal US in patients with psoriasis with peripheral joint pain improves the referrals from dermatology to rheumatology by decreasing the false positives. The screening by US in this study was done by experienced rheumatologists; therefore, whether the same results can be achieved by less experienced sonographers with no special interest in musculoskeletal US needs to be studied to test the generalizability of the tool for this indication. If the same results can be achieved, a screening programme that involves a family physician or a healthcare professional and a sonographer may be useful to identify patients who have higher risk of PsA and improve the referrals to rheumatology. Funding sources: this study was supported by AbbVie. D.S. had funding from Union Chimique Belge (UCB) Canada for an axial spondyloarthritis fellowship. S.B. had funding from the Turkish Society for Rheumatology. Conflicts of interest: S.Z.A. has received honoraria from AbbVie, Celgene, UCB, Novartis, Janssen and Sanofi. S.F. did not receive funding for this study. She has received honoraria and served on advisory consultancy boards for AbbVie, Actelion, Aralez, Bausch Health, Celgene, Janssen, LEO Pharma, Novartis, Pfizer, Sanofi Genzyme and UCB.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0110.005
Insufficient payload (model declined to judge)0.0160.004

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.

Opus teacher head0.009
GPT teacher head0.224
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations15
Published2019
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