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Enregistrement W4379522346 · doi:10.1136/annrheumdis-2023-eular.2018

OP0238 IMMUNOSUPPRESSION WITH TARGETED DMARDS REDUCES MORBIDITY AND MORTALITY IN PRE-CAPILLARY PULMONARY HYPERTENSION ASSOCIATED WITH SYSTEMIC SCLEROSIS: A EUSTAR ANALYSIS

2023· article· en· W4379522346 sur OpenAlexaff
Cosimo Bruni, Lorenzo Tofani, Håvard Fretheim, Yvonne Weber, É. Hachulla, Patrícia Carreira, Dilia Giuggioli, Paolo Airó, Elise Siegert, Ulf Müller‐Ladner, Marco Matucci‐Cerinic, Gabriela Riemekasten, Jeska de Vries‐Bouwstra, Lesley Ann Saketkoo, Jörg H. W. Distler, Alexandra Balbir‐Gurman, I. Castellví, Elisabetta Zanatta, Vanessa Smith, C.P. Denton, Britta Maurer, Alessandro Giollo, Florenzo Iannone, Lorenzo Dagna, Marie‐Elise Truchetet, Masataka Kuwana, Yannick Allanore, Y. Tanaka, Marielle Martin, Edoardo Rosato, Ana Maria Gheorghiu, Francesco Del Galdo, Kamal Solanki, Alessandra Vacca, Cristina Maria Mendes Resende, Sílvia Regina Rios Vieira, L. Czirják, Marko Barešić, Francesco Paolo Cantatore, Valeria Riccieri, Kristofer Andréasson, Leland W.K. Chung, Carlos Müller, Daniela Opriș-Belinski, Simona Rednic, Petros P. Sfikakis, Yair Levy, Vivien Hsu, Stefan Heitmann, J. Henes, Gianluca Moroncini, Michele Iudici, Ellen De Langhe, Ariane L. Herrick, Carlomaurizio Montecucco, A. M. Hoffmann-Vold, Oliver Distler

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineMedicine
ThématiquePulmonary Hypertension Research and Treatments
Établissements canadiensBoehringer Ingelheim (Canada)
Organismes subventionnairesCilagChugai PharmaceuticalCentre Hospitalier Universitaire de PoitiersFoundation for Research in RheumatologyPécsi TudományegyetemMedicinski Fakultet, Sveučilište u ZagrebuUniversità degli Studi di VeronaUniversity of ManchesterUniversité de GenèveSanofi GenzymeUniversita degli Studi di Bari Aldo MoroSwedish Orphan BiovitrumUniversiteit GentRobert Wood Johnson Medical School, Rutgers, The State University of New JerseyHôpitaux Universitaires de GenèveUniversità degli Studi di PadovaSapienza Università di RomaLunds UniversitetUniversitair Ziekenhuis GentInstitut National de la Santé et de la Recherche MédicaleUniversity of LeedsUniversity College LondonUniversitatea de Medicină şi Farmacie "Carol Davila" BucureştiSveučilište u ZagrebuUniversity of Occupational and Environmental HealthGlaxoSmithKlineInselspital, Universitätsspital BernBristol-Myers SquibbEli Lilly and CompanyCSL BehringSanofiVlaams Instituut voor BiotechnologieAmgenPfizer
Mots-clésMedicineImmunosuppressionPulmonary hypertensionScleroderma (fungus)Intensive care medicineImmunologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Background Pre-capillary pulmonary hypertension (precapPH) affects 9-15% of patients with systemic sclerosis (SSc) and may be associated with interstitial lung disease (ILD) of variable extent. Immunosuppressants (IMS) are standard of care for treating ILD, skin or musculoskeletal manifestations in SSc. However, their beneficial effect on precapPH remains unclear. Objectives To determine whether exposure to IMS in SSc-precapPH affects morbidity and mortality in the EUSTAR cohort. Methods In the approved EUSTAR project CP111, we included SSc patients with precapPH (mPAP ≥21 mmHg, PWP ≤15 mmHg, PVR ≥2 WU) with data on IMS (csDMARDs - prednisone ≥10 mg/day, cyclophosphamide, mycophenolate mofetil, azathioprine, methotrexate; targeted therapies: abatacept, rituximab, tocilizumab, TNFi, JAKi), pulmonary arterial hypertension (PAH) medications (bosentan, macitentan, ambrisentan, sildenafil, tadalafil, riociguat, selexipag, prostanoids) and at least 3 months follow-up after precapPH diagnosis by right heart catheterization. We considered exposure to a drug if it was ongoing at or prescribed after precapPH diagnosis and administered for at least 30 days. Patients were clustered into group 1 or group 3 precapPH based on ILD presence on HRCT and FVC <70%, as proposed in the INCREASE trial. The morbidity-mortality outcome was defined by the first event between death or precapPH worsening (following the SERAPHIN trial: one of ≥15% 6MWD decrease, worsening of NYHA class, onset of right heart failure, additional PAH medication, starting iv/sc prostanoids, lung transplantation, atrial septostomy). We evaluated the association between IMS and time to first event with a multiple Cox regression model for time dependent covariates, with robust Sandwich variance estimate and backward selection. The baseline confounders were chosen on experts’ opinion and included SSc-related risk factors for mortality or IMS prescription (sex, age, diffuse skin subset, renal crisis, digital ulcers, muscle weakness, joint synovitis, ILD on HRCT, LVEF%, FVC%, DLCO%) and PAH risk stratification parameters (mPAP, increased BNP/NTproBNP, NYHA class >II, reduced cardiac index, reduced 6MWD). PAH medications (none, mono, double or triple therapy) were also included as time-dependent confounder. Results 755 SSc-precapPH patients from 54 EUSTAR centers were included (18% males, age 63±11 years, disease duration 11±9 years, 29% diffuse skin subset, 60% ILD on HRCT): 377 (50%) received IMS [365 (47%) csDMARDs, 68 (9%) targeted therapies] and 642 (85%) PAH medications. Patients treated with IMS had more frequently ILD (78 vs 43%), diffuse skin (41 vs 18%), joint (16 vs 7%) and muscle (22 vs 10%) involvement. In 2.9 (1.2-5.4) years median follow-up, 546 (70%) patients developed a morbidity-mortality event. While overall IMS exposure did not associate with the outcome, targeted therapies were associated with reduced risk of morbidity-mortality [HR 0.59 (95% CI 0.36-0.96), p=0.04; Figure 1a]. When clustering into group 1 [n=561, 40% IMS, n=32 (6%) targeted therapies] or group 3 [n=194, 80% IMS, n=36 (19%) targeted therapies], less morbidity-mortality events were recorded for group 1 (69% vs 81%). Despite the rarer use, the protective effect of targeted therapies for morbidity-mortality was confirmed in group 1 (HR 0.24, 95% CI 0.02-0.64, p=0.01, Figure 1b) but not in group 3 (Figure 1c). When looking at specific target therapies, a risk reduction for the morbidity-mortality outcome was noted for tocilizumab [in the whole cohort (n treated=21; HR 0.37, 95%CI 0.18-0.77, p=0.03) and in group 1 (n treated=10; HR 0.09, 95% CI 0.01-0.69, p=0.02)] and rituximab (in group 1, n treated= 24, HR 0.29, 95% CI 0.10-0.84, p=0.01). Conclusion In this large EUSTAR SSc-precapPH cohort, targeted therapies are associated with a significantly reduced risk of mortality and precapPH worsening over time. This is the first large study adjusted for confounders supporting a potential effect of targeted therapies on SSc-precapPH. Acknowledgements On behalf of the EUSTAR collaborators. Disclosure of Interests Cosimo Bruni Speakers bureau: Eli-Lilly, Consultant of: Boehringer Ingelheim, Grant/research support from: Gruppo Italiano Lotta alla Sclerodermia (GILS), European Scleroderma Trials and Research Group (EUSTAR), Foundation for research in Rheumatology (FOREUM), Scleroderma Clinical Trials Consortium (SCTC). Educational grants from AbbVie., Lorenzo Tofani: None declared, Håvard Fretheim Speakers bureau: Boehringer Ingelheim, Consultant of: Bayer, Grant/research support from: GSK, Actelion, Yannick Weber: None declared, Eric Hachulla Speakers bureau: Johnson & Johnson, GlaxoSmithKline, Roche-Chugai, Otsuka, Consultant of: Bayer, Boehringer Ingelheim, GlaxoSmithKline, Johnson & Johnson, Roche-Chugai, Sanofi-Genzyme, Novartis, Grant/research support from: CSL Behring, GlaxoSmithKline, Johnson & Johnson, Roche-Chugai, Sanofi-Genzyme, Sobi, Novartis, Patricia Carreira Speakers bureau: (last 5 years): Janssen, Lilly, VivaCell, Emerald Health Pharmaceuticals, Gesynta Pharma, Boehringer Ingelheim, Abbie, Sanofi Genzyme, Mitsubishi Tanabe, Consultant of: (last 5 years): Janssen, Lilly, VivaCell, Emerald Health Pharmaceuticals, Gesynta Pharma, Boehringer Ingelheim, Abbie, Sanofi Genzyme, Mitsubishi Tanabe, Dilia Giuggioli: None declared, Paolo Airò Speakers bureau: Bristol Myers Squibb, Bohringer Ingelheim, Roche, Novartis, CSL Behring Janssen- Cilag, Consultant of: Bristol Myers Squibb, Bohringer Ingelheim, Roche, Novartis, CSL Behring Janssen- Cilag, Grant/research support from: Bristol Myers Squibb, Bohringer Ingelheim, Roche, Novartis, CSL Behring Janssen- Cilag, Elise Siegert: None declared, Ulf Müller-Ladner: None declared, Marco Matucci-Cerinic Speakers bureau: Actelion, Janssen, Inventiva, Bayer, Biogen, Boehringer, CSL Behring, Corbus, Galapagos, Mitsubishi, Samsung, Regeneron, Acceleron, MSD, Chemomab, Lilly, Pfizer, Roche, Consultant of: Actelion, Janssen, Inventiva, Bayer, Biogen, Boehringer, CSL Behring, Corbus, Galapagos, Mitsubishi, Samsung, Regeneron, Acceleron, MSD, Chemomab, Lilly, Pfizer, Roche, Gabriela Riemekasten: None declared, Carmen Pilar Simeon Aznar: None declared, Jeska de Vries-Bouwstra Speakers bureau: ABBvie, Janssen, Boehringer-Ingerlheim, Consultant of: ABBvie, Janssen, Boehringer-Ingerlheim, Grant/research support from: Janssen-Cilag, Galapagos, Roche, Lesley Ann Saketkoo: None declared, Joerg Distler: None declared, Alexandra Balbir-Gurman: None declared, Ivan Castellví: None declared, Elisabetta Zanatta: None declared, Vanessa Smith: None declared, Christopher P Denton: None declared, Britta Maurer Speakers bureau: Boehringer-Ingelheim, GSK, Novartis, Consultant of: Novartis, Boehringer Ingelheim, Janssen-Cilag, Grant/research support from: AbbVie, Protagen, Novartis Biomedical. congress support from Medtalk, Pfizer, Roche, Actelion, Mepha, and MSD., Alessandro Giollo Speakers bureau: Galapagos, Eli Lilly, Consultant of: Galapagos, Sandoz, Novartis, Florenzo Iannone: None declared, Lorenzo Dagna Speakers bureau: Novartis and SOBI, Consultant of: Abbvie, AstraZeneca, Biogen, Boehringer-Ingelheim, BMS, Eli Lilly, Galapagos, GSK, Janssen, Kiniksa Pharmaceuticals, Novartis, Pfizer, SOBI, Grant/research support from: BMS, Celltrion, Kiniksa pharmaceuticals, Pfizer and SOBI, Marie-Elise Truchetet: None declared, Masataka Kuwana: None declared, Yannick Allanore Consultant of: AbbVie, AstraZeneca, Bayer, Boehringer-Ingelheim, Mylan, Janssen, Medsenic, Prometheus, Sanofi, Roche, Grant/research support from: Alpine Immunosciences, Medsenic, OSE Immunotherapeutics, Yoshiya Tanaka: None declared, Mickael Martin Speakers bureau: Boehringer Ingelheim, Edoardo Rosato: None declared, Ana Maria Gheorghiu Speakers bureau: Sandoz, Boehringer Ingelheim, Ewopharma, Abbvie, Consultant of: Sandoz, Boehringer Ingelheim, Ewopharma, Abbvie, Francesco Del Galdo: None declared, Kamal Solanki: None declared, ALESSANDRA VACCA: None declared, Catarina Resende: None declared, Susana Vieira: None declared, László Czirják: None declared, Marko Baresic: None declared, Francesco Paolo Cantatore: None declared, Valeria Riccieri: None declared, Kristofer Andréasson: None declared, Lorinda Chung: None declared, CAROLINA SOUZA MULLER: None declared, Daniela Opris-Belinski Speakers bureau: Abbvie, Amgen, AstraZeneca, Boehringer Ingelheim, Janssen, Novartis, Consultant of: Abbvie, Amgen, AstraZeneca, Boehringer Ingelheim, Janssen, Novartis, Simona Rednic: None declared, Petros Sfikakis: None declared, Yair Levy: None declared, Vivian Hsu: None declared, Stefan Heitmann: None declared, Jörg Henes Speakers bureau: Abbvie, Boehringer Ingelheim, GSK, BMS, Janssen, Novartis, Pfizer, UCB, Consultant of: Abbvie, Boehringer Ingelheim, GSK, BMS, Janssen, Novartis, Pfizer, UCB, Gianluca Moroncini: None declared, Michele Iudici: None declared, Ellen De Langhe: None declared, Ariane Herrick: None declared, Carlomaurizio Montecucco: None declared, Anna-Maria Hoffmann-Vold Speakers bureau: ehringer Ingelheim, Jannsen, Medscape, Merck Sharp & Dohme and Roche, Consultant of: ARXX, Boehringer Ingelheim, Genentech, Jannsen, Medscape, Merck Sharp & Dohme and Roche, Grant/research support from: Boehringer Ingelheim, Jannsen, Oliver Distler Speakers bureau: 4P-Pharma, Abbvie, Acceleron, Alcimed, Altavant, Amgen, AnaMar, Arxx, AstraZeneca, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, Galderma, Galapagos, Glenmark, Gossamer, iQvia, Kymera, Lupin, Medscape, Merck, Miltenyi Biotec, Mitsubishi Tanabe; Novartis, Prometheus, Redxpharna, Roivant and Topadur in the area of potential treatments of scleroderma and its complications., Consultant of: 4P-Pharma, Abbvie, Acceleron, Alcimed, Altavant, Amgen, AnaMar, Arxx, AstraZeneca, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, Galderma, Galapagos, Glenmark, Gossamer, iQvia, Kymera, Lupin, Medscape, Merck, Miltenyi Biotec, Mitsubishi Tanabe; Novartis, Prometheus, Redxpharna, Roivant and Topadur in the area of potential treatments of scleroderma and its complications., Grant/research support from: 4P-Pharma, Abbvie, Acceleron, Alcimed, Altavant, Amgen, AnaMar, Arxx, AstraZeneca, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, Galderma, Galapagos, Glenmark, Gossamer, iQvia, Kymera, Lupin, Medscape, Merck, Miltenyi Biotec, Mitsubishi Tanabe; Novartis, Prometheus, Redxpharna, Roivant and Topadur in the area of potential treatments of scleroderma and its complications. Research grants: Kymera, Mitsubishi Tanabe.

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)0,003
score de la tête « metaresearch » (Gemma)0,003
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: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,004
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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.

Tête enseignante Opus0,043
Tête enseignante GPT0,284
Écart entre enseignants0,241 · 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

Citations2
Publié2023
Routes d'admission1
Résumé présentoui

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