OA41 Interstitial lung disease awareness among patients with rheumatoid arthritis in the UK
Notice bibliographique
Résumé
Abstract Background/Aims Interstitial lung disease (ILD) is a common feature in connective tissue diseases (CTDs), including rheumatoid arthritis (RA). Despite the substantial detrimental effects of RA and ILD, there are unmet needs in patient education and understanding of these diseases. We conducted a global survey of patients with CTDs to understand awareness of pulmonary manifestations and the risk of developing ILD. Here, we present data for UK-based patients with RA. Methods This was a cross-sectional online survey of patients living in the UK, aged ≥18 years with CTD, including RA, with or without ILD. Participants had a self-reported medical diagnosis of ≥ 1 CTD and were seeing a specialist doctor (e.g. rheumatologist, respiratory physician) who led care for their first diagnosed CTD. Recruitment was carried out via patient organisations sharing the survey link with their patient community, links shared on Boehringer Ingelheim social and local media channels, and QR codes on posters/flyers in clinical settings. The survey ran from 26 February to 15 March 2024. Results Patients with RA completing the survey (n = 184) had a mean (standard deviation [SD]) age of 58 years (11.7), 96% were female, and 32% currently or previously experienced shortness of breath at rest for >4 weeks, or a dry, hacking cough for ≥8 weeks (36%). Mean (SD) time since first RA symptom was 14.3 years (11.4) and since RA diagnosis was 12.6 years (10.6). Sixty-five percent were not aware RA may affect the lungs, and of these, 44% were not aware of risk to other organs, 36% were aware of risk to other organs but not the lungs, and 20% were aware of their doctor mentioning risk but could not remember details. A total of 58% responded that their doctor had mentioned RA may affect other organs, and of these, that this included the lungs (61%), lung manifestations could be caused by medication (34%) or smoking status (32%), and 74% responded that the risk level of developing lung manifestations was not described by their doctor. For more information on risks, complications or recommendations related to CTD or RA, patient organisation or support group websites were key information sources (59%), and more patients sought information from social media (29%) than from their doctor (24%). However, Google was the primary information source (64%) for patients to learn more about risks of developing lung manifestations. Almost all participants (99%) considered it appropriate to be informed of the risk of lung manifestations, and 67% would want this information in a lot of detail from their doctor. Conclusion There is an unmet need for informing and educating patients on the risks of organ involvement in RA, including ILD, and for doctors to help facilitate patient awareness of risks. Disclosure A. Bosworth: Honoraria; AbbVie Ltd (paid to National Rheumatoid Arthritis Society), Biogen Idec Limited (paid to National Rheumatoid Arthritis Society), Boehringer Ingelheim Ltd (paid to National Rheumatoid Arthritis Society), Eli Lilly and Company Limited (paid to National Rheumatoid Arthritis Society), Fresenius Kabi Limited (paid to National Rheumatoid Arthritis Society), Galapagos Biotech Limited (paid to National Rheumatoid Arthritis Society), Inmedix Inc. (paid to National Rheumatoid Arthritis Society), Medac Pharma LLP (paid to National Rheumatoid Arthritis Society), Pfizer Limited (paid to National Rheumatoid Arthritis Society), Sandoz Limited (paid to National Rheumatoid Arthritis Society), UCB Pharma Ltd (paid to National Rheumatoid Arthritis Society). S. Matthews: None. B. Doostdar: Corporate appointments; Employee of Boehringer Ingelheim. B. Taylor: Corporate appointments; Employee of Boehringer Ingelheim. P. Emery: Consultancies; Consulting fees from AbbVie, AstraZeneca, Bristol Myers Squibb, Boehringer Ingelheim, Galapagos, Gilead, Janssen, MSD, Lilly, Novartis, Pfizer, Roche and Samsung. Honoraria; AbbVie (payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events), AstraZeneca (payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events), Bristol Myers Squibb (payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events), Boehringer Ingelheim (payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events), Galapagos (payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events), Gilead (payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events), Lilly (payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events), Novartis (payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events), Pfizer (payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events), Roche (payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events). Other; Support for attending meetings and/or travel from Lilly and Novartis.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».