Complexity of Heart Rate Variability Can Predict Stroke-In-Evolution in Acute Ischemic Stroke Patients

• Published in: Scientific reports Vol. 5; no. 1; p. 17552
• Main Authors: Chen, Chih-Hao, Huang, Pei-Wen, Tang, Sung-Chun, Shieh, Jiann-Shing, Lai, Dar-Ming, Wu, An-Yu, Jeng, Jiann-Shing
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.12.2015; Nature Publishing Group
• Subjects: 631/114/1314; 692/617/375/534; Acute Disease; Aged; Aged, 80 and over; Brain Ischemia - physiopathology; Cardiac arrhythmia; EKG; Entropy; Female; Fibrillation; Heart Rate; Humanities and Social Sciences; Humans; Intensive Care Units; Ischemia; Male; Middle Aged; multidisciplinary; Predictive Value of Tests; Science; Stroke; Stroke - physiopathology

About one-third of acute stroke patients may experience stroke-in-evolution, which is often associated with a worse outcome. Recently, we showed that multiscale entropy (MSE), a non-linear method for analysis of heart rate variability (HRV), is an early outcome predictor in non-atrial fibrillation (...