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
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.

Auteurs

Karl Gisslander (K)

Clinical Sciences, Rheumatology, Lund University, Lund, Sweden karl.gisslander@med.lu.se.

Matthew Rutherford (M)

School of Infection and Immunity, University of Glasgow, Glasgow, UK.

Louis Aslett (L)

Department of Mathematical Science, University of Durham, Durham, UK.

Neil Basu (N)

School of Infection and Immunity, University of Glasgow, Glasgow, UK.

François Dradin (F)

Telemedicine Technologies, Liège, Belgium.

Lucy Hederman (L)

ADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.

Zdenka Hruskova (Z)

Department of Nephrology, General University Hospital, Prague, Czech Republic.
First Faculty of Medicine, Charles University, Prague, Czech Republic.

Hicham Kardaoui (H)

National Referral Center for Rare Systemic Autoimmune Diseases, Hospital Cochin, Paris, France.
Université Paris Cité, Paris, France.

Peter Lamprecht (P)

Department of Rheumatology and Clinical Immunology, Universitat zu Lubeck, Lubeck, Germany.

Sabina Lichołai (S)

Division of Molecular Biology and Clinical Genetics, Jagiellonian University Medical College, Krakow, Poland.

Jacek Musial (J)

2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland.

Declan O'Sullivan (D)

ADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.

Xavier Puechal (X)

National Referral Center for Rare Systemic Autoimmune Diseases, Hospital Cochin, Paris, France.
French Vasculitis Study Group, Paris, France.

Jennifer Scott (J)

ADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.
Trinity Kidney Centre, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland.

Mårten Segelmark (M)

Department of Clinical Sciences, Lund University, Lund, Sweden.
Department of Endocrinology, Nephrology and Rheumatology, Skåne University Hospital, Lund, Sweden.

Richard Straka (R)

General University Hospital in Prague, Praha, Czech Republic.

Benjamin Terrier (B)

National Referral Center for Rare Systemic Autoimmune Diseases, Hospital Cochin, Paris, France.
French Vasculitis Study Group, Paris, France.

Vladimir Tesar (V)

Department of Nephrology, General University Hospital, Prague, Czech Republic.
First Faculty of Medicine, Charles University, Prague, Czech Republic.

Michelangelo Tesi (M)

Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Firenze, Italy.

Augusto Vaglio (A)

Nephrology and Dialysis Unit, Meyer Children's Hospital IRCCS, Firenze, Italy.

Dagmar Wandrei (D)

Clinical Trials Unit, Medical Center, University of Freiburg Faculty of Medicine, Freiburg, Germany.

Arthur White (A)

School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.

Krzysztof Wójcik (K)

2nd Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland.

Beyza Yaman (B)

ADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.

Mark A Little (MA)

ADAPT SFI Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland.
Trinity Kidney Centre, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland.

Aladdin J Mohammad (AJ)

Clinical Sciences, Rheumatology, Lund University, Lund, Sweden.
Department of Medicine, University of Cambridge, Cambridge, UK.

Classifications MeSH