Stroke among Rheumatoid Arthritis Patients: Does Age Matter? A Real-Life Study

Shmuel Tiosano, Yarden Yavne, Omer Gendelman, Abdulla Watad, Doron Comaneshter, Yehuda Shoenfeld, Arnon D. Cohen, Daniela Amital

    Research output: Contribution to journalArticlepeer-review

    13 Scopus citations

    Abstract

    Background/Aims: Rheumatoid arthritis (RA) is a chronic, debilitating autoimmune disease that affects the joints and it is known to be associated with cardiovascular morbidity. However, the association between RA and stroke among different age groups has not been explored. The objective of our study was to evaluate the association between RA and stroke in different age strata. Methods: Cross-sectional study, utilizing the database of Israel's largest healthcare provider. The proportion of stroke was compared between patients diagnosed with RA and age-and gender-matched controls. The study sample was divided into 2 age groups: young (≤65 years) and elderly (>65 years). Multivariable analysis was performed using logistic regression. Results: The study included 11,782 RA patients and 57,973 age-and gender-matched controls. RA patients, primarily young, had more cardiovascular risk factors than controls. Stroke rates were significantly elevated among young RA patients in comparison with controls (3.74 vs. 2.20%, respectively, p < 0.001). In multivariate analysis, RA was found to be independently associated with stroke (OR 1.18, 95% CI 1.09-1.28). Conclusion: RA is independently associated with stroke, especially among RA patients under 65 years, for whom cardiovascular risk factors were more prominent. Physicians should advise RA patients to manage their risk factors strictly.

    Original languageEnglish
    Pages (from-to)99-105
    Number of pages7
    JournalNeuroepidemiology
    Volume49
    Issue number3-4
    DOIs
    StatePublished - 1 Dec 2017

    Keywords

    • Age
    • Autoimmunity
    • Cerebrovascular disease
    • Rheumatoid arthritis
    • Risk factors
    • Stroke

    ASJC Scopus subject areas

    • Epidemiology
    • Clinical Neurology

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