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