Carotid-femoral pulse wave velocity is associated with post-stroke cognitive impairment
Moncion, K.; Rodrigues, L.; de las Heras, B.; Abreu, J.; Sikorska, K.; Sutoski, A.; MacDonald, M. J.; Tang, A.; Roig, M.
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Background. Up to 70% of stroke survivors develop cognitive impairment, yet clinicians lack non-invasive vascular biomarkers that could meaningfully inform risk stratification. Carotid-femoral pulse wave velocity (cfPWV), the gold-standard measurement of central arterial stiffness, is a novel biomarker of vascular aging linked to cognitive impairment. This study evaluated the association between cfPWV and post-stroke cognitive impairment, as measured by the Montreal Cognitive Assessment (MoCA), in individuals [≥]6 months post-stroke. Methods. This is a secondary cross-sectional analysis of baseline data from a randomized control trial. Logistic regression analyses examined the association between cfPWV (m/s) and MoCA score at the primary cut point of [≤]26/30, with secondary cut points of [≤]24/30 and [≤]22/30. Models were adjusted for age, sex, systolic blood pressure, type-2 diabetes, National Institutes of Health Stroke Scale (NIHSS) score, and smoking status. Results. Of 82 participants enrolled in the main trial, 68 participants (n = 45 males, age 64.6 {+/-} 9.6 years, 1.8 {+/-} 1.2 years post-stroke) with mild-to-moderate stroke severity (NIHSS median [IQR] = 1 [2]) were included. In the fully adjusted model using the MoCA [≤]26/30 cut point, each 1 m/s increase in cfPWV was associated with a 35% increase in the odds of post-stroke cognitive impairment (adjusted OR [aOR] = 1.35; 95% CI 1.06, 1.81; p = 0.027; Area Under the Curve [AUC] = 0.77). Consistent associations were observed at the MoCA [≤]24/30 (aOR = 1.41; 95% CI 1.04, 2.01; p = 0.037; AUC = 0.88) and MoCA [≤]22/30 (aOR = 1.33; 95% CI 1.03, 1.79; p = 0.039; AUC = 0.82) cut points. Conclusions. Higher cfPWV was independently associated with post-stroke cognitive impairment across clinically referenced MoCA cut points. cfPWV may be a complementary vascular biomarker to support cognitive risk stratification and identify stroke survivors who could benefit from closer monitoring or vascular-targeted intervention.
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