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Identification of early risk factors for anti-citrullinated-protein-antibody positive rheumatoid arthritis—a prospective cohort study.
- Source :
- Rheumatology; Nov2024, Vol. 63 Issue 11, p3164-3171, 8p
- Publication Year :
- 2024
-
Abstract
- Objective Individuals positive for anti-cyclic-peptide-antibodies (anti-CCP) and musculoskeletal complaints (MSK-C) are at risk for developing rheumatoid arthritis (RA). In this study we aimed to investigate factors involved in arthritis progression. Methods Anti-CCP2-positive individuals with MSK-C referred to a rheumatologist were recruited. Individuals lacked arthritis at clinical and ultrasound examination and were followed for ≥3 years or until clinical arthritis diagnosis. Blood samples from inclusion were analysed for nine ACPA reactivities (citrullinated α-1-enolase, fibrinogen, filaggrin, histone, vimentin and tenascin peptides); 92 inflammation-associated proteins; and HLA-shared epitope alleles. Cox regression was applied to the data to identify independent predictors in a model. Results Two hundred and sixty-seven individuals were included with median follow-up of 49 months (interquartile range [IQR]: 22–60); 101 (38%) developed arthritis after a median of 14 months (IQR: 6–27). The analysis identified that presence of at least one ACPA reactivity (hazard ratio [HR] 8.0; 95% CI: 2.9, 22), ultrasound-detected tenosynovitis (HR 3.4; 95% CI: 2.0, 6.0), IL-6 levels (HR 1.5; 95% CI: 1.2, 1.8) and IL-15 receptor α (IL-15Rα) levels (HR 0.6; 95% CI: 0.4, 0.9) are significant independent predictors for arthritis progression in a prediction model (Harrell's C 0.76 [ s. e. 0.02], AUC 0.82 [95% CI: 0.76, 0.89], cross-validated AUC 0.70 [95% CI: 0.56, 0.85]). Conclusion We propose a high RA risk phase characterized by presence of ACPA reactivity, tenosynovitis, IL-6 and IL-15Rα and suggest that these factors need to be further investigated for their biological effects and clinical values, to identify individuals at particular low risk and high risk for arthritis progression. [ABSTRACT FROM AUTHOR]
- Subjects :
- RHEUMATOID arthritis risk factors
RISK assessment
PROTEINS
RESEARCH funding
PREDICTION models
AUTOANTIBODIES
MUSCULOSKELETAL system diseases
RHEUMATOID arthritis
MICROFILAMENT proteins
DESCRIPTIVE statistics
CYTOSKELETAL proteins
LONGITUDINAL method
HISTONES
TENOSYNOVITIS
FIBRINOGEN
CONFIDENCE intervals
INFLAMMATION
BIOMARKERS
DISEASE progression
PROPORTIONAL hazards models
REGRESSION analysis
RHEUMATOLOGISTS
PATIENT aftercare
HLA-B27 antigen
BLOOD
Subjects
Details
- Language :
- English
- ISSN :
- 14620324
- Volume :
- 63
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Rheumatology
- Publication Type :
- Academic Journal
- Accession number :
- 180651994
- Full Text :
- https://doi.org/10.1093/rheumatology/keae146