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Associations of clinical and inflammatory biomarker clusters with juvenile idiopathic arthritis categories
- Source :
- Rheumatology. 59:1066-1075
- Publication Year :
- 2019
- Publisher :
- Oxford University Press (OUP), 2019.
-
Abstract
- Objective To identify discrete clusters comprising clinical features and inflammatory biomarkers in children with JIA and to determine cluster alignment with JIA categories. Methods A Canadian prospective inception cohort comprising 150 children with JIA was evaluated at baseline (visit 1) and after six months (visit 2). Data included clinical manifestations and inflammation-related biomarkers. Probabilistic principal component analysis identified sets of composite variables, or principal components, from 191 original variables. To discern new clinical-biomarker clusters (clusters), Gaussian mixture models were fit to the data. Newly-defined clusters and JIA categories were compared. Agreement between the two was assessed using Kruskal–Wallis analyses and contingency plots. Results Three principal components recovered 35% (three clusters) and 40% (five clusters) of the variance in patient profiles in visits 1 and 2, respectively. None of the clusters aligned precisely with any of the seven JIA categories but rather spanned multiple categories. Results demonstrated that the newly defined clinical-biomarker lustres are more homogeneous than JIA categories. Conclusion Applying unsupervised data mining to clinical and inflammatory biomarker data discerns discrete clusters that intersect multiple JIA categories. Results suggest that certain groups of patients within different JIA categories are more aligned pathobiologically than their separate clinical categorizations suggest. Applying data mining analyses to complex datasets can generate insights into JIA pathogenesis and could contribute to biologically based refinements in JIA classification.
- Subjects :
- Male
0301 basic medicine
Canada
medicine.medical_specialty
Adolescent
Childhood arthritis
Normal Distribution
Arthritis
Risk Assessment
Severity of Illness Index
Cohort Studies
03 medical and health sciences
Sex Factors
0302 clinical medicine
Rheumatology
Internal medicine
medicine
Cluster Analysis
Data Mining
Humans
Pharmacology (medical)
In patient
Prospective Studies
Child
030203 arthritis & rheumatology
business.industry
Incidence
Age Factors
Syndrome
medicine.disease
INCEPTION COHORT
Inflammatory biomarkers
Arthritis, Juvenile
030104 developmental biology
Homogeneous
Principal component analysis
Female
Inflammation Mediators
Inflammatory biomarker
business
Biomarkers
Subjects
Details
- ISSN :
- 14620332 and 14620324
- Volume :
- 59
- Database :
- OpenAIRE
- Journal :
- Rheumatology
- Accession number :
- edsair.doi.dedup.....5cb151401a2f552871c1adc7e97e1df2