Literature DB >> 30877213

Increased Risk of Ischemic Stroke in Systemic Sclerosis: A National Cohort Study of US Veterans.

David Ying1,2, Milena A Gianfrancesco3,4, Laura Trupin3,4, Jinoos Yazdany3,4, Eric L Greidinger3,4, Gabriela Schmajuk3,4.   

Abstract

OBJECTIVE: Previously thought to involve primarily the microvasculature, systemic sclerosis (SSc) has been increasingly linked to macrovascular disease. Cardiovascular (CV) and cerebrovascular disease are responsible for 20-30% of mortality in SSc, but few studies have shown an independent association between SSc and stroke. We assessed whether SSc was an independent risk factor for ischemic stroke.
METHODS: We conducted a retrospective cohort study using the national Veterans Affairs (VA) administrative database containing records from 1999 to 2014. We obtained data for all patients with a diagnosis of SSc as well as 2 controls per SSc patient matched on sex, race, smoking status, and VA site. All patients were followed until development of ischemic stroke, death, or last encounter. We used a Cox proportional hazard regression model to estimate risk of ischemic stroke, with adjustments for CV comorbidities (hypertension, diabetes, atrial fibrillation, non-cerebrovascular atherosclerotic disease, hyperlipidemia), baseline medication use (aspirin, nonsteroidal antiinflammatory drugs), and Medicare enrollment.
RESULTS: Among 4545 individuals with SSc (83% male, mean age 60.9 yrs), the incidence rate of ischemic stroke was 15.3 per 1000 person-years (vs 12.2 in the control cohort), with an unadjusted HR 1.28 (95% CI 1.11-1.47). The adjusted HR was 1.21 (95% CI 1.05-1.40) after adjusting for baseline CV risk factors, medications, and Medicare enrollment.
CONCLUSION: SSc is independently associated with a higher risk of ischemic stroke among US veterans. Patients with SSc represent a population likely to benefit from targeted stroke screening or prevention therapies.

Entities:  

Keywords:  MATCHED-PAIR ANALYSIS; PROPORTIONAL HAZARDS MODELS; STROKE; SYSTEMIC SCLEROSIS; VETERANS HEALTH

Mesh:

Year:  2019        PMID: 30877213      PMCID: PMC7269199          DOI: 10.3899/jrheum.181311

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


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