Added value of biomarkers compared with clinical parameters for the prediction of radiographic spinal progression in axial spondyloarthritis.
Adult
Anti-Inflammatory Agents, Non-Steroidal
/ therapeutic use
Biomarkers
/ blood
Disease Progression
Female
Humans
Inflammation Mediators
/ metabolism
Leptin
/ blood
Male
Middle Aged
Predictive Value of Tests
ROC Curve
Radiography
Severity of Illness Index
Spine
/ diagnostic imaging
Spondylitis, Ankylosing
/ diagnosis
Vascular Endothelial Growth Factor A
/ blood
biomarkers
bone
cytokines and inflammatory mediators
radiology
spondyloarthritis
statistics
Journal
Rheumatology (Oxford, England)
ISSN: 1462-0332
Titre abrégé: Rheumatology (Oxford)
Pays: England
ID NLM: 100883501
Informations de publication
Date de publication:
01 09 2019
01 09 2019
Historique:
received:
12
04
2018
revised:
26
12
2018
pubmed:
5
3
2019
medline:
21
3
2020
entrez:
5
3
2019
Statut:
ppublish
Résumé
The objective of this study was to examine whether adding biomarkers to routine clinical parameters improves prediction of radiographic spinal progression in axial spondyloarthritis. One hundred and seventeen patients with ankylosing spondylitis who completed the Effects of NSAIDs on RAdiographic Damage in Ankylosing Spondylitis (ENRADAS) trial were included. Radiographic spinal progression was defined as worsening of the modified Stoke Ankylosing Spondylitis Spine Score by ⩾2 points after 2 years. A clinical prediction model was constructed out of baseline syndesmophytes, elevated CRP, cigarette smoking and male sex. The following serum biomarkers were measured at baseline by ELISA: MMP3, VEGF, calprotectin, leptin, high molecular weight adiponectin, osteoprotegerin, sclerostin, N-terminal telopeptide, procollagen type II N-terminal propeptide and serum amyloid A. Repeated cross-validation analyses revealed one biomarker combination with potential added predictive value in addition to the clinical model: leptin + high molecular weight adiponectin + VEGF. This biomarker combination showed an area under the curve (AUC)Biomarkers = 0.731 (95% CI: 0.614, 0.848), which was numerically superior to the clinical model [AUCClinical = 0.665 (95% CI: 0.553, 0.776)]. A combination of clinical parameters + biomarkers showed an improved predictive value compared with the clinical model reflected by AUCClinical+Biomarkers = 0.768 (95% CI: 0.666, 0.871), though not statistically significant (P = 0.051). However, by considering the part of the receiver operating characteristic curve with a specificity ⩾75% resulting in partial AUC (pAUC), the improvement becomes significant (pAUCClinical+Biomarkers = 0.119; pAUCClinical = 0.053; P = 0.01). Biomarkers show potential to improve the prediction of radiographic spinal progression in axial spondyloarthritis when used in addition to the clinical parameters, though the added value seems to be rather small.
Identifiants
pubmed: 30830164
pii: 5369188
doi: 10.1093/rheumatology/kez025
doi:
Substances chimiques
Anti-Inflammatory Agents, Non-Steroidal
0
Biomarkers
0
Inflammation Mediators
0
LEP protein, human
0
Leptin
0
VEGFA protein, human
0
Vascular Endothelial Growth Factor A
0
Types de publication
Journal Article
Randomized Controlled Trial
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1556-1564Commentaires et corrections
Type : CommentIn
Informations de copyright
© The Author(s) 2019. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.