S1473 European and U.S. Patient and Health Care Professional Perspectives on the Experience of Fatigue in Crohn’s Disease and Ulcerative Colitis: Communicating Needs and Features of IBD Experiences (CONFIDE) Survey
Notice bibliographique
Résumé
Introduction: Fatigue is a prevalent and debilitating, yet under-recognized and under-treated, symptom among patients (pts) with Crohn’s disease (CD) or ulcerative colitis (UC). The Communicating Needs and Features of IBD Experiences (CONFIDE) study explored pt and healthcare professional (HCP) perspectives on the experience and impact of CD/UC-related symptoms in Europe (France, Germany, Italy, Spain, and UK), the United States (US), and Japan. Methods: Online, quantitative, cross-sectional surveys were conducted separately among pts with moderate-to-severe CD/UC and HCPs who make prescribing decisions for pts. Moderate-to-severe CD/UC were defined based on previous treatment, steroid use, and/or hospitalization. Descriptive statistics were used to summarize the European and US data related to fatigue. Results: A total of 547 European [55.4% male, mean age: 38.0 years (yrs)] and 215 US (54.9% male, 40.9 yrs) pts with CD and 556 European (57.4% male, 38.9 yrs) and 200 US (61.5% male, 40.4 yrs) pts with UC completed the surveys. Over 50% of all pts were receiving advanced therapies. Overall, 34.2% European and 35.8% US pts with CD, and 20.9% European and 27.5% US pts with UC reported currently experiencing fatigue (in the past month). Similar results were observed among those receiving advanced therapies. Over one-third of CD and UC pts ranked fatigue among the top 5 symptoms with greatest impact on them. Among pts currently experiencing fatigue, most did not discuss it with their HCPs at every appointment, with at least two-thirds of these pts indicating that they would like to discuss it more frequently. Surveys were completed by 503 European (70.8% male) and 200 US (78.0% male) HCPs; 92.5% were gastroenterologists/internal medicine practitioners. A minority of HCPs reported fatigue among the top 5 symptoms with greatest impact on pts. Over half of HCPs reported proactively discussing fatigue at routine pt appointments. The most common reason for not proactively discussing it was that they expected pts to bring it up if it is an issue (Table 1). Conclusion: For both pts with CD/UC, fatigue was a common and impactful symptom, despite use of advanced therapies. Most pts experiencing fatigue who did not discuss it at every HCP appointment, wanted to discuss fatigue more frequently. Although >50% HCPs reported proactive discussion of fatigue with their pts, some expected pts to bring it up. This indicates a communication gap and highlights the underappreciation of the impact of fatigue in CD/UC. Table 1. - Patient and Healthcare Professional (HCP) perspectives on the experiences and impact of CD/UC-related symptoms Crohn’s disease (CD) Ulcerative colitis (UC) Patients European US European US Patients receiving advanced therapies 63.4% (347/547) 58.1% (125/215) 54.1% (301/556) 76.5% (153/200) Patients currently experiencing fatigue:OverallThose receiving advanced therapies 34.2% (187/547)34.3% (119/347) 35.8% (77/215)36.0% (45/125) 20.9% (116/556)19.9% (60/301) 27.5% (55/200)25.5 (39/153) Patients that ranked fatigue among top 5 symptoms with greatest impact on them 44.5% (110/247) 53.0% (52/98) 55.2% (94/170) 37.5% (30/80) Patients currently experiencing fatigue who discussed fatigue at every HCP appointment 29.9% (56/187) 36.3% (28/77) 22.4% (26/116) 40.0% (22/55) Patients with fatigue who do not discuss fatigue at every visit but want to discuss it more frequently 75.6% (99/131) 67.3% (33/49) 74.4% (67/90) 66.7% (22/33) Health care professionals (HCPs) European US European US Ranked fatigue among top 5 symptoms with greatest impact on patientsProactively discussed fatigue at routine appointmentHCPs who did not proactively discuss fatigue and expected patients to bring it up 33.9% (171/503)69.4% (349/503)39.0% (60/154) 22.0% (44/200)59.5% (119/200)30.9% (25/81) 22.7% (114/503)64.6% (325/503)37.1% (66/178) 11.5% (23/200)59.0% (118/200)32.9% (27/82) CD, Crohn’s disease; UC, ulcerative colitis.
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 | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,036 | 0,007 |
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 ».