Format

Send to

Choose Destination
Ann Rheum Dis. 2020 Mar;79(3):324-331. doi: 10.1136/annrheumdis-2019-216516. Epub 2020 Jan 24.

What is axial spondyloarthritis? A latent class and transition analysis in the SPACE and DESIR cohorts.

Author information

1
Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands.
2
NOVA Medical School, Universidade Nova de Lisboa, Lisbon, Portugal.
3
Zuyderland Medical Centre Heerlen, Heerlen, The Netherlands.
4
Lisbon School of Economics and Management, Lisbon, Portugal.
5
Department of Rheumatology, Hôpital Cochin. Assistance Publique - Hôpitaux de Paris, Paris, France.
6
Clinical Epidemiology and Biostatistics, INSERM U1153, Paris, France.
7
Rheumatology Unit and UMR1227, Lymphocytes B et Autoimmunit, Université de Brest, Brest, France.
8
Rheumatology Unit, Department of Medicine DIMED, University of Padova, Padova, Italy.
9
Zuyderland Medical Centre Heerlen, Heerlen, The Netherlands landewe@rlandewe.nl.
10
Amsterdam University Medical Center, Amsterdam, The Netherlands.

Abstract

OBJECTIVES:

To gain expert-judgement-free insight into the Gestalt of axial spondyloarthritis (axSpA), by investigating its 'latent constructs' and to test how well these latent constructs fit the Assessment of SpondyloArthritis international Society (ASAS) classification criteria.

METHODS:

Two independent cohorts of patients with early onset chronic back pain (SPondyloArthritis Caught Early (SPACE)) or inflammatory back pain (IBP) (DEvenir des Spondylarthopathies Indifférenciées Récentes (DESIR)) were analysed. Latent class analysis (LCA) was used to estimate the (unobserved) potential classes underlying axSpA. The best LCA model groups patients into clinically meaningful classes with best fit. Each class was labelled based on most prominent features. Percentage fulfilment of ASAS axSpA, peripheral SpA (pSpA) (ignoring IBP) or both classification criteria was calculated. Five-year data from DESIR were used to perform latent transition analysis (LTA) to examine if patients change classes over time.

RESULTS:

SPACE (n=465) yielded four discernible classes: 'axial' with highest likelihood of abnormal imaging and HLA-B27 positivity; 'IBP+peripheral' with 100% IBP and dominant peripheral symptoms; 'at risk' with positive family history and HLA-B27 and 'no SpA' with low likelihood for each SpA feature. LCA in DESIR (n=576) yielded similar classes, except for the 'no-SpA'. The ASAS axSpA criteria captured almost all (SPACE: 98%; DESIR: 93%) 'axial' patients, but the 'IBP+peripheral' class was only captured well by combining the axSpA and pSpA criteria (SPACE: 78%; DESIR: 89%). Only 4% of 'no SpA' patients fulfilled the axSpA criteria in SPACE. LTA suggested that 5-year transitions across classes were unlikely (11%).

CONCLUSION:

The Gestalt of axSpA comprises three discernible entities, only appropriately captured by combining the ASAS axSpA and pSpA classification criteria. It is questionable whether some patients with 'axSpA at risk' will ever develop axSpA.

KEYWORDS:

axial spondyloarthritis; classification criteria; diagnosis

Supplemental Content

Full text links

Icon for HighWire
Loading ...
Support Center