DocumentCode :
473761
Title :
Risk stratification by Autonomic Information Flow characteristics
Author :
Hoyer, D. ; Frank, B. ; Stein, P.K. ; Schmidt, G. ; Schneider, R. ; Schmidt, H.
Author_Institution :
Dept. of Neurology, Friedrich Schiller Univ., Jena
fYear :
2006
fDate :
17-20 Sept. 2006
Firstpage :
425
Lastpage :
428
Abstract :
We investigated the hypothesis that Autonomic Information Flow (AIF) based predictors, reflecting short term and long term autonomic control, improve risk stratification in different clinical groups. The prognostic value of AIF measures was assessed in patients with multiple organ dysfunction syndrome MODS, after abdominal aorta surgery AAS, and after myocardial infarction MI in comparison to traditional HRV measures using ROC characteristics AUC(95%CI). Prognostic values were discriminated in MODS by AIF AUC=0.73(0.54,0.93) vs. TINN AUC=0.68(0.49, 0.90); after AAS with AIF AUC=0.73(0.62,0.84) vs. SDNNindex AUC=0.64(0.52,0.77); after MI AIF AUC=0.70(0.62, 0.77) vs. SDNNAUC=0.66(0.56, 0.74). We conclude that complex short term and long term cardiovascular control has an important prognostic value.
Keywords :
cardiology; diseases; medical diagnostic computing; medical information systems; patient diagnosis; risk analysis; abdominal aorta surgery; autonomic information flow; long term autonomic cardiovascular control; multiple organ dysfunction syndrome; myocardial infarction; prognostic values; risk stratification; short term autonomic cardiovascular control; Abdomen; Cardiology; Communication system control; Control systems; Heart rate variability; Measurement standards; Medical control systems; Myocardium; Surgery; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology, 2006
Conference_Location :
Valencia
Print_ISBN :
978-1-4244-2532-7
Type :
conf
Filename :
4511879
Link To Document :
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