Incidence and predictors of demyelinating disease in spondyloarthritis: data from a longitudinal cohort study

Author:

Remalante-Rayco Patricia12ORCID,Espiritu Adrian I23,Daghistani Yassir14,Chim Tina5,Atenafu Eshetu6,Keshavarzi Sareh7,Jha Mayank1,Gladman Dafna D89,Oh Jiwon3,Haroon Nigil19,Inman Robert D19ORCID

Affiliation:

1. Schroeder Arthritis Institute, Toronto Western Hospital, Spondylitis Program, University Health Network , Toronto, ON, Canada

2. Department of Clinical Epidemiology, College of Medicine, University of the Philippines Manila , Manila, Philippines

3. Division of Neurology, Department of Medicine, St. Michael’s Hospital, University of Toronto , Toronto, ON, Canada

4. Division of Rheumatology, Department of Medicine, University of Jeddah , Jeddah, Saudi Arabia

5. Schroeder Arthritis Institute, Toronto Western Hospital, University Health Network , Toronto, ON, Canada

6. Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network , Toronto, ON, Canada

7. Biostatistics Division, Dalla Lana School of Public Health, University of Toronto , Toronto, ON, Canada

8. Centre for Prognosis Studies in the Rheumatic Diseases, Schroeder Arthritis Institute, University Health Network , Toronto, ON, Canada

9. Temerty Faculty of Medicine, University of Toronto , Toronto, ON, Canada

Abstract

Abstract Objectives The objectives of this study were to investigate the incidence of demyelinating disease (DD) among SpA patients and to identify risk factors that predict DD in this patient population. Methods Axial SpA (axSpA) and PsA patients were identified from a longitudinal cohort database. Each group was analysed according to the presence or absence of DD. Incidence rates (IRs) of DD were obtained, with competing risk analysis. Cox regression analysis (with Fine and Gray’s method) was used to evaluate predictors of DD development. Results Among 2260 patients with follow-up data, we identified 18 DD events, corresponding to an average IR of 31 per 100 000 persons per year for SpA. The IR of DD at 20 years was higher in axSpA than in PsA (1.30% vs 0.13%, P = 0.01). The risk factors retained in the best predictive model for DD development included ever- (vs never-) smoking [hazard ratio (HR) 2.918, 95% CI 1.037–8.214, P = 0.0426], axSpA (vs PsA) (HR 8.790, 95% CI 1.242–62.182, P = 0.0294) and presence (vs absence) of IBD (HR 5.698, 95% CI 2.083–15.589, P = 0.0007). History of TNF-α inhibitor therapy was not a predictor of DD. Conclusion The overall incidence of DD in this SpA cohort was low. Incident DD was higher in axSpA than in PsA. A diagnosis of axSpA, the presence of IBD, and ever-smoking predicted the development of DD. History of TNF-α inhibitor use was not found to be a predictor of DD in this cohort.

Publisher

Oxford University Press (OUP)

Subject

Pharmacology (medical),Rheumatology

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