Prevalence of stroke in individuals with Migraine: A risk analysis accounting for comorbidities using participant information from the All of Us database
Abstract Body: Introduction: We assess the risk of stroke in individuals with and without a migraine diagnosis, adjusting for demographic variables and stroke risk factors using participant information from the All of Us database.
Method: Diagnoses of migraine, stroke and comorbidities were identified using ICD9 and ICD10 codes. A multivariable logistic regression analysis was performed to assess the association between migraine and risk of stroke adjusting for comorbidities including hypertension, atrial fibrillation, hyperlipidemia, diabetes, tobacco use, depression and demographics (age, sex at birth, race and ethnicity). To compare the prevalence of stroke between individuals with and without migraine, odds ratios using a 95% confidence interval (CI) were calculated.
Results: Within the All of Us database, 31,444 individuals received a migraine diagnosis (female=25,374/81%, male=5,391/17%, other=679/2%; mean (std) age=54.9 (15.6)) and 379,283 did not have a migraine diagnosis (female=222,104/59%, male=149,182/39%, other=7,997/2%; mean (SD) age=55.9 (17.2)), see Figure 1 for detailed demographics. The migraine cohort had a greater proportion of women (81% vs 59%, p<0.001), a higher proportion of white individuals (61% vs. 55%, p<0.001) fewer African American individuals (15% vs. 19%, p<0.001) and a lower proportion of individuals who were 61 or older (39% vs 45%, p<0.001) compared to the non-migraine cohort. Compared to the non-migraine cohort, individuals with migraine had significantly higher rates of comorbidities, including depression (13% vs. 4%, p<0.001), diabetes (16% vs. 7%), tobacco use (23% vs. 9%, p<0.001), hyperlipidemia (48% vs. 22%, p<0.001), hypertension (57% vs. 27%, p<0.001), and atrial fibrillation (7% vs. 4%, p<0.001). A multivariate regression model adjusted for differences between cohort demographics and comorbidities found that individuals with migraine had 2.14 higher odds of overall stroke compared to the non-migraine cohort (OR 2.14, 95% CI [ 2.04, 2.24].
Discussion: After adjusting for cohort imbalances in demographics and comorbidities, individuals with migraine had a 2.14 times higher risk of stroke compared to those without a migraine diagnosis. Our analysis, using data from the All of Us database, confirms previous findings and suggests that while comorbidities are more prevalent in those with migraine, they do not fully account for the increased stroke risk.
Seah, Nick
( Arizona State University
, Tempe
, Arizona
, United States
)
Dumitrascu, Oana
( Mayo Clinic
, Scottsdale
, Arizona
, United States
)
Schwedt, Todd
( Mayo Clinic
, Phoenix
, Arizona
, United States
)
Wu, Teresa
( Arizona State University
, Tempe
, Arizona
, United States
)
Chong, Catherine
( Mayo Clinic
, Phoenix
, Arizona
, United States
)
Author Disclosures:
Nick Seah:DO NOT have relevant financial relationships
| Oana Dumitrascu:DO NOT have relevant financial relationships
| Todd Schwedt:DO have relevant financial relationships
;
Consultant:AbbVie:Active (exists now)
; Royalties/Patent Beneficiary:UpToDate:Active (exists now)
; Research Funding (PI or named investigator):Pfizer:Active (exists now)
; Individual Stocks/Stock Options:Nocira:Active (exists now)
; Individual Stocks/Stock Options:Aural Analytics:Past (completed)
; Consultant:Scilex:Past (completed)
; Consultant:Salvia:Active (exists now)
; Consultant:Lundbeck:Active (exists now)
; Consultant:Linpharma:Past (completed)
; Consultant:Amgen:Past (completed)
; Consultant:Allergan:Past (completed)
| Teresa Wu:DO NOT have relevant financial relationships
| Catherine Chong:DO NOT have relevant financial relationships
