Change in different classes of chronic back pain suspicious of axial spondyloarthritis : A latent transition analysis of the SPACE cohort
(2024) In RMD Open 10(3).- Abstract
Objectives To follow up four previously identified classes 'pure axial spondyloarthritis' (axSpA) ('axial'), 'axSpA with peripheral signs' ('inflammatory back pain+peripheral'), 'axSpA at risk' and 'no spondyloarthritis' ('no SpA'). They reflect the expert-opinion-free construct or 'Gestalt' of chronic back pain suspicious of axSpA. The aim was to assess participants' transitions between these classes over time. Methods Participants with chronic back pain of ≤2 years duration, suspicious of axSpA from the SPondyloArthritis Caught Early cohort were analysed. Latent class (LCA) and latent transition analysis (LTA) using clinical, laboratory and imaging data at baseline and 2 years were calculated. Conditional and marginal probabilities... (More)
Objectives To follow up four previously identified classes 'pure axial spondyloarthritis' (axSpA) ('axial'), 'axSpA with peripheral signs' ('inflammatory back pain+peripheral'), 'axSpA at risk' and 'no spondyloarthritis' ('no SpA'). They reflect the expert-opinion-free construct or 'Gestalt' of chronic back pain suspicious of axSpA. The aim was to assess participants' transitions between these classes over time. Methods Participants with chronic back pain of ≤2 years duration, suspicious of axSpA from the SPondyloArthritis Caught Early cohort were analysed. Latent class (LCA) and latent transition analysis (LTA) using clinical, laboratory and imaging data at baseline and 2 years were calculated. Conditional and marginal probabilities were obtained, reflecting the probability of a spondyloarthritis feature in a class and the probability of the participant's class membership, respectively. Transitional probabilities were extracted revealing potential switches across classes. The analyses were performed in all participants using imputations for missing data and in participants with full data at baseline and 2 years. Results Baseline and 2 years LCA models were constructed for 702 participants, resulting in the same four-class model as previously described. LTA revealed only a 3% transition from the 'no SpA' to the 'at-risk' class from baseline to 2 years with all other participants remaining in their initially assigned class. Sensitivity analysis on 384 participants with complete data at both baseline and 2 years showed similar results, underlining the model's robustness. Conclusions Transitions between the four classes over 2 years were basically inexistent, highlighting the unlikelihood of developing new class-defining features of axSpA after an initial clinical workup.
(Less)
- author
- organization
- publishing date
- 2024-09-30
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- axial spondyloarthritis, epidemiology, magnetic resonance imaging, spondylitis, ankylosing, spondyloarthritis
- in
- RMD Open
- volume
- 10
- issue
- 3
- article number
- e004584
- publisher
- BMJ Publishing Group
- external identifiers
-
- scopus:85205446509
- pmid:39349053
- ISSN
- 2056-5933
- DOI
- 10.1136/rmdopen-2024-004584
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © Author(s) (or their employer(s)) 2024.
- id
- d7cc9a03-1418-425b-9c1f-1ba60de01efd
- date added to LUP
- 2024-12-18 12:03:22
- date last changed
- 2025-07-17 05:07:35
@article{d7cc9a03-1418-425b-9c1f-1ba60de01efd,
abstract = {{<p>Objectives To follow up four previously identified classes 'pure axial spondyloarthritis' (axSpA) ('axial'), 'axSpA with peripheral signs' ('inflammatory back pain+peripheral'), 'axSpA at risk' and 'no spondyloarthritis' ('no SpA'). They reflect the expert-opinion-free construct or 'Gestalt' of chronic back pain suspicious of axSpA. The aim was to assess participants' transitions between these classes over time. Methods Participants with chronic back pain of ≤2 years duration, suspicious of axSpA from the SPondyloArthritis Caught Early cohort were analysed. Latent class (LCA) and latent transition analysis (LTA) using clinical, laboratory and imaging data at baseline and 2 years were calculated. Conditional and marginal probabilities were obtained, reflecting the probability of a spondyloarthritis feature in a class and the probability of the participant's class membership, respectively. Transitional probabilities were extracted revealing potential switches across classes. The analyses were performed in all participants using imputations for missing data and in participants with full data at baseline and 2 years. Results Baseline and 2 years LCA models were constructed for 702 participants, resulting in the same four-class model as previously described. LTA revealed only a 3% transition from the 'no SpA' to the 'at-risk' class from baseline to 2 years with all other participants remaining in their initially assigned class. Sensitivity analysis on 384 participants with complete data at both baseline and 2 years showed similar results, underlining the model's robustness. Conclusions Transitions between the four classes over 2 years were basically inexistent, highlighting the unlikelihood of developing new class-defining features of axSpA after an initial clinical workup.</p>}},
author = {{Bosch, Philipp and Sepriano, Alexandre and Marques, Mary Lucy and Van Der Heijde, Désirée and Landewé, Robert and Van Lunteren, Miranda and De Bruin, Liese and De Hooge, Manouk and Bastiaenen, Caroline and Exarchou, Sofia and Ramonda, Roberta and Fagerli, Karen Minde and Van Gaalen, Floris A. and Ramiro, Sofia}},
issn = {{2056-5933}},
keywords = {{axial spondyloarthritis; epidemiology; magnetic resonance imaging; spondylitis, ankylosing; spondyloarthritis}},
language = {{eng}},
month = {{09}},
number = {{3}},
publisher = {{BMJ Publishing Group}},
series = {{RMD Open}},
title = {{Change in different classes of chronic back pain suspicious of axial spondyloarthritis : A latent transition analysis of the SPACE cohort}},
url = {{http://dx.doi.org/10.1136/rmdopen-2024-004584}},
doi = {{10.1136/rmdopen-2024-004584}},
volume = {{10}},
year = {{2024}},
}