Data quality and patient characteristics in European ANCA-associated vasculitis registries: data retrieval by federated querying.
epidemiology
granulomatosis with polyangiitis
quality indicators, health care
systemic vasculitis
Journal
Annals of the rheumatic diseases
ISSN: 1468-2060
Titre abrégé: Ann Rheum Dis
Pays: England
ID NLM: 0372355
Informations de publication
Date de publication:
31 Oct 2023
31 Oct 2023
Historique:
received:
13
06
2023
accepted:
16
09
2023
medline:
1
11
2023
pubmed:
1
11
2023
entrez:
31
10
2023
Statut:
aheadofprint
Résumé
This study aims to describe the data structure and harmonisation process, explore data quality and define characteristics, treatment, and outcomes of patients across six federated antineutrophil cytoplasmic antibody-associated vasculitis (AAV) registries. Through creation of the vasculitis-specific Findable, Accessible, Interoperable, Reusable, VASCulitis ontology, we harmonised the registries and enabled semantic interoperability. We assessed data quality across the domains of uniqueness, consistency, completeness and correctness. Aggregated data were retrieved using the semantic query language SPARQL Protocol and Resource Description Framework Query Language (SPARQL) and outcome rates were assessed through random effects meta-analysis. A total of 5282 cases of AAV were identified. Uniqueness and data-type consistency were 100% across all assessed variables. Completeness and correctness varied from 49%-100% to 60%-100%, respectively. There were 2754 (52.1%) cases classified as granulomatosis with polyangiitis (GPA), 1580 (29.9%) as microscopic polyangiitis and 937 (17.7%) as eosinophilic GPA. The pattern of organ involvement included: lung in 3281 (65.1%), ear-nose-throat in 2860 (56.7%) and kidney in 2534 (50.2%). Intravenous cyclophosphamide was used as remission induction therapy in 982 (50.7%), rituximab in 505 (17.7%) and pulsed intravenous glucocorticoid use was highly variable (11%-91%). Overall mortality and incidence rates of end-stage kidney disease were 28.8 (95% CI 19.7 to 42.2) and 24.8 (95% CI 19.7 to 31.1) per 1000 patient-years, respectively. In the largest reported AAV cohort-study, we federated patient registries using semantic web technologies and highlighted concerns about data quality. The comparison of patient characteristics, treatment and outcomes was hampered by heterogeneous recruitment settings.
Identifiants
pubmed: 37907255
pii: ard-2023-224571
doi: 10.1136/ard-2023-224571
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Investigateurs
Adrian Tassoni
(A)
Arlette Tais
(A)
Cathal Walsh
(C)
Cecil Armstrong
(C)
Dipak Kalra
(D)
Elena Gelain
(E)
Fabian Schubach
(F)
Gabriele Ihorst
(G)
Hannelore Aerts
(H)
Iris Sengers
(I)
John Mills
(J)
Julie Power
(J)
Katarzyna Wawrzycka-Adamczyk
(K)
Kris McGlinn
(K)
Margaret Dunne
(M)
Maria Christofidou
(M)
Nathan Lea
(N)
Peter Verhoeven
(P)
Raïssa de Boer
(R)
Sabrina Arnold
(S)
Informations de copyright
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: None declared.