Cardio-Ankle Vascular Index Predicts Post-Discharge Stroke in Patients with Heart Failure.

2020 
AIM We aimed to evaluate the significance of the cardio-ankle vascular index (CAVI) to predict stroke in patients with heart failure (HF). METHODS This was a prospective observational study, which recruited clinical data from a total of 557 patients who had been hospitalized for HF and undergone CAVI. According to the receiver operating characteristic curve analysis, the accurate cut-off value of CAVI in predicting post-discharge stroke was 9.64. We divided the patients into two groups: the high-CAVI group (HF patients with CAVI ≥ 9.64, n=111, 19.9%) and the low-CAVI group (HF patients with CAVI <9.64, n=446, 80.1%). We compared the patients' characteristics and post-discharge prognosis. The primary endpoint was stroke. RESULTS The high-CAVI group was older (73.0 vs. 65.5 years old, P<0.001). Male sex (73.9% vs. 61.4%, P=0.015), coronary artery disease (47.7% vs. 36.1%, P=0.024), and diabetes mellitus (54.1% vs. 37.4%, P=0.001) were more prevalent in the high-CAVI group. In contrast, there was no difference in left ventricular ejection fraction, and prevalence of hypertension and dyslipidemia. The Kaplan-Meier analysis demonstrated that post-discharge stroke rate was higher in the high-CAVI group than in the low-CAVI group (log-rank P=0.005). In multivariate Cox proportional hazard analysis, high CAVI was found to be an independent predictor of stroke, with an adjusted hazard ratio of 3.599, compared to low CAVI. CONCLUSION CAVI independently predicts stroke in patients with HF.The trial registration number: UMIN000029132.
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