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Enregistrement W4411411797 · doi:10.1016/j.ard.2025.05.428

POS0031 Exploring the Potential for Cardiorenal-Metabolic Therapies to Target Comorbidities in Early Rheumatoid Arthritis

2025· article· en· W4411411797 sur OpenAlexaffabout
Bindee Kuriya, Susan J. Bartlett, Marie‐France Valois, Hugues Allard‐Chamard, Carol Hitchon, Carter Thorne, Glen Hazlewood, Louis Bessette, Janet Pope, Gilles Boire, V.P. Bykerk

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueBiochemical and Molecular Research
Établissements canadiensWestern UniversityUniversité LavalCanadian Rheumatology AssociationResearch CanadaUniversity of ManitobaUniversité de SherbrookeUniversity of CalgaryArthritis Research Centre of CanadaMcGill UniversityUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineRheumatoid arthritisIntensive care medicineArthritisInternal medicine

Résumé

récupéré en direct d'OpenAlex

Background: Cardiorenal-metabolic (CRM) therapies, such as SGLT-2 inhibitors and GLP-1 agonists, are medications that target interconnected pathways between cardiovascular, renal, and metabolic systems and may provide additional benefits for patients with rheumatoid arthritis (RA) by potentially reducing systemic inflammation. Objectives: (1) To assess the prevalence of CRM conditions and eligibility for CRM therapies based on approved indications and investigational (off-label) use in early RA (ERA). (2) To examine differences in clinical characteristics, including sex-based variations, for patients with and without CRM conditions. Methods: Data were from the Canadian Early Arthritis Cohort, a cross-sectional study of patients recruited between 2017 and 2023, including baseline BMI, creatinine, Clinical Disease Activity Index (CDAI), and CDAI at 12 months. We estimated the baseline prevalence of approved Canadian CRM indications: (1) type 2 diabetes, (2) obesity (BMI ≥30 kg/m²), (3) heart failure, or (4) overweight (BMI ≥27 and <30 kg/m²) + ≥ 1 weight-related complication of hypertension and/or dyslipidemia. Off-label indications included (5) chronic kidney disease (< eGFR <60 mL/min/1.73 m²), (6) overweight BMI with elevated C-reactive protein (CRP>5mg/L), or (7) large joint osteoarthritis [1]. Descriptive statistics were done for the overall cohort. Stratification by sex was used to identify differences associated with CRM conditions. Results: Out of 855 recruited patients, the final sample included 278 patients and 67% were female. The mean age was 57 ± 14 years, and mean symptom duration was 5.1 ± 2.7 months. At baseline, nearly all patients (90%) had moderate or high Clinical Disease Activity Index (CDAI) scores. Overall, 54% had one CRM condition and 45% met approved indications for CRM therapy, primarily for obesity (Table 1). Overlapping conditions increased (14% had ≥2 CRM) when off-label indications such as knee OA or overweight BMI + elevated CRP were considered. Patients with CRM conditions were older and had more non-metabolic comorbidities. However, there were no significant differences in disease activity components beyond inflammatory makers (mean CRP 9.5 mg/L vs. 4.8mg/L, p=0.01), nor were there differences in initial DMARD or corticosteroid strategies. In sex-stratified analyses, no differences were observed between male and females for the number or type of CRM conditions (Table 1). Conclusion: In this real-world ERA cohort, 45% of patients met criteria for approved CRM therapy, primarily for obesity and diabetes. Obesity is known to negatively affect RA disease activity and treatment response, making it a critical target for intervention. The lack of significant sex-based differences in CRM conditions further highlights the universal relevance of CRM conditions in RA management. Future research should explore how CRM therapies, particularly those targeting obesity, could improve metabolic health and RA outcomes, warranting their study in this population. REFERENCES: [1] Bliddal H et al. Once-Weekly Semaglutide in Persons with Obesity and Knee Osteoarthritis. N Engl J Med. 2024 Oct 31;391(17):1573-1583. Table 1Baseline prevalence of approved and off-label cardiorenal-metabolic (CRM) indications, stratified by sex.Approved CRM IndicationsApproved and Off-Label CRM IndicationsTotalN=278FemaleN = 185MaleN=93P-valueTotalN = 278FemaleN=185MaleN = 93P-valueAny CRM Condition126 (45%)79 (43%)47 (51%)0.22151 (54%)94 (51%)57 (61%)0.09Type 2 Diabetes31 (11%)16 (9%)15 (16%)0.0631 (11%)16 (9%)15 (16%)0.06Obesity88 (32%)62 (34%)26 (28%)0.3588 (32%)62 (34%)26 (28%)0.34Heart Failure000NA000NAOverweight BMI + ≥ 1 weight-related complication:25 (9%)14 (8%)11 (12%)0.2441 (15%)24 (13%)17 (18%)0.24Hypertension21 (8%)12 (7%)9 (10%)0.3421 (8%)12 (6%)9 (10%)0.34Dyslipidemia16 (6%)9 (5%)7 (8%)0.3716 (6%)9 (5%)7 (8%)0.37CRP levels (>5mg/L)____28 (10%)17 (9%)11 (12%)0.49Chronic Renal Disease____12 (4%)9 (5%)3 (3%)0.76Knee Osteoarthritis____28 (10%)18 (10%)10 (11%)0.79Number of Conditions0 conditions152 (55%)106 (57%)46 (50%)0.30127 (46%)91 (49%)36 (39%)0.281 condition108 (39%)66 (36%)42 (45%)107 (38%)63 (34%)44 (47%)2 conditions18 (6%)13 (7%)5 (5%)39 (14%)27 (15%)12 (13%)3 conditions0005 (2%)4 (2%)1 (1%)≥ 4 conditions000000 Acknowledgements: On behalf of CATCH Investigators. Disclosure of Interests: Bindee Kuriya Abbvie, Pfizer, Abbive, Pfizer, UCB Canada, BMS, Sanofi, Abbvie, Pfizer, Susan J. Bartlett Janssen, Sandoz, Nordic, Marie-France Valois: None declared, Hugues Allard-Chamard AstraZeneca, Abbvie, Amgen, Astrazeneca, BMS, Celltrion, Eli Lilly, GSK, Hoffmann-La Roche, Janssen, Novartis, Otsuka, Sandoz, Pfizer, Sobi, AstraZeneca, Eli Lilly, Fresenius Kabi, Pfizer, Carol A Hitchon Sandoz, Pfizer, Astra Zeneca, Carter Thorne Medexus, Accord, AbbVie, Acccord, BIOGEN, Pfizer, Roche, Medexus, Nordic, Organon, JAMP, Pfizer, Glen Hazlewood: None declared, Louis Bessette Amgen, BMS, Janssen, UCB, Abbvie, Pfizer, Lilly, Novartis, Sanofi, TEVA, Fresenius Kabi, Sandoz, JAMP Pharma, Organon, Amgen, BMS, Janssen, UCB, Abbvie, Pfizer, Celgene, Lilly, Novartis, Sanofi, TEVA, Fresenius Kabi, Sandoz, Organon, Sobi, Amgen, BMS, Janssen, UCB, Abbvie, Pfizer, Celgene, Sanofi, Lilly, Novartis, AstraZeneca, JAMP Pharma, Janet Pope AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Certa, Eli Lilly, Frensenius Kabi, Janssen, Nordic Pharma, Novartis, Organon, Otsuka, Palleon, Pfizer, Sandoz, Sanofi, UCB, Zura, AbbVie, Amgen, Astra Zeneca, Boehringer Ingelheim, Boxer Capital, Bristol Myers Squibb, Celltrion Healthcare, Eli Lilly, Frensenius Kabi, GSK, Janssen, Merck, Novartis, Pfizer, Sandoz, Sanofi, DSMB: Astra Zeneca, Horizon, Novartis, BMS, Janssen, Mallinckrodt, Pfizer (Seattle Genetics), Gilles Boire Abbvie, Janssen, Lilly, Mylan, Novartis, Pfizer, Sanofi, Teva, Viatris, BMS, Biocon, Pfizer, Vivian Bykerk: None declared. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,481
Score d'incertitude au seuil0,371

Scores Codex et Gemma par catégorie

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

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 Opus0,026
Tête enseignante GPT0,292
Écart entre enseignants0,266 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
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

Citations0
Publié2025
Routes d'admission2
Résumé présentoui

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