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Enregistrement W2973074546 · doi:10.1111/bjd.18515

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

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

Notice bibliographique

RevueBritish Journal of Dermatology · 2019
Typeletter
Langueen
DomaineImmunology and Microbiology
ThématiquePsoriasis: Treatment and Pathogenesis
Établissements canadiensUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésRheumatologyPsoriasisMedicineDermatologyUltrasoundInternal medicineMedical physicsRadiology

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,025
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,053

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,025
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0110,005
Charge utile insuffisante (le modèle a refusé de juger)0,0160,004

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,224
Écart entre enseignants0,215 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations15
Publié2019
Routes d'admission1
Résumé présentnon

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