Cervical artery dissection in patients >= 60 years Often painless, few mechanical triggers

Objective: In a cohort of patients diagnosed with cervical artery dissection (CeAD), to determine the proportion of patients aged >= 60 years and compare the frequency of characteristics (presenting symptoms, risk factors, and outcome) in patients aged = 60 years. Methods: We combined data from 3 large cohorts of consecutive patients diagnosed with CeAD (i. e., Cervical Artery Dissection and Ischemic Stroke Patients-Plus consortium). We dichotomized cases into 2 groups, age >= 60 and Results: Among 2,391 patients diagnosed with CeAD, we identified 177 patients (7.4%) aged >= 60 years. In this age group, cervical pain (ORadjusted 0.47 [0.33-0.66]), headache (ORadjusted 0.58 [0.42-0.79]), mechanical trigger events (ORadjusted 0.53 [0.36-0.77]), and migraine (ORadjusted 0.58 [0.39-0.85]) were less frequent than in younger patients. In turn, hypercholesterolemia (ORadjusted 1.52 [1.1-2.10]) and hypertension (ORadjusted 3.08 [2.25-4.22]) were more frequent in older patients. Key differences between age groups were confirmed in secondary analyses. In multivariable, adjusted analyses, favorable outcome (i. e., modified Rankin Scale score 0-2) was less frequent in the older age group (ORadjusted 0.45 [0.25, 0.83]). Conclusion: In our study population of patients diagnosed with CeAD, 1 in 14 was aged >= 60 years. In these patients, pain and mechanical triggers might be missing, rendering the diagnosis more challenging and increasing the risk ofmissed CeAD diagnosis in older patients.Peer reviewe

Genetic Risk Score for Intracranial Aneurysms: Prediction of Subarachnoid Hemorrhage and Role in Clinical Heterogeneity

Background: Recently, common genetic risk factors for intracranial aneurysm (IA) and aneurysmal subarachnoid hemorrhage (ASAH) were found to explain a large amount of disease heritability and therefore have potential to be used for genetic risk prediction. We constructed a genetic risk score to (1) predict ASAH incidence and IA presence (combined set of unruptured IA and ASAH) and (2) assess its association with patient characteristics. Methods: A genetic risk score incorporating genetic association data for IA and 17 traits related to IA (so-called metaGRS) was created using 1161 IA cases and 407 392 controls from the UK Biobank population study. The metaGRS was validated in combination with risk factors blood pressure, sex, and smoking in 828 IA cases and 68 568 controls from the Nordic HUNT population study. Furthermore, we assessed association between the metaGRS and patient characteristics in a cohort of 5560 IA patients. Results: Per SD increase of metaGRS, the hazard ratio for ASAH incidence was 1.34 (95% CI, 1.20-1.51) and the odds ratio for IA presence 1.09 (95% CI, 1.01-1.18). Upon including the metaGRS on top of clinical risk factors, the concordance index to predict ASAH hazard increased from 0.63 (95% CI, 0.59-0.67) to 0.65 (95% CI, 0.62-0.69), while prediction of IA presence did not improve. The metaGRS was statistically significantly associated with age at ASAH (β=-4.82×10-3per year [95% CI, -6.49×10-3to -3.14×10-3]; P=1.82×10-8), and location of IA at the internal carotid artery (odds ratio=0.92 [95% CI, 0.86-0.98]; P=0.0041). Conclusions: The metaGRS was predictive of ASAH incidence, although with limited added value over clinical risk factors. The metaGRS was not predictive of IA presence. Therefore, we do not recommend using this metaGRS in daily clinical care. Genetic risk does partly explain the clinical heterogeneity of IA warranting prioritization of clinical heterogeneity in future genetic prediction studies of IA and ASAH