Risk stratification by autonomic information flow characteristics

Dirk Hoyer, B. Frank, P. K. Stein, G. Schmidt, R. Schneider, H. Schmidt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


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. SDNN AUC=0.66(0.56, 0.74). We conclude that complex short term and long term cardiovascular control has an important prognostic value.

Original languageEnglish
Title of host publication2006 Computers in Cardiology, CIC
Number of pages4
StatePublished - 2006
Event2006 Computers in Cardiology, CIC - Valencia, Spain
Duration: Sep 17 2006Sep 20 2006

Publication series

NameComputers in Cardiology
ISSN (Print)0276-6574


Conference2006 Computers in Cardiology, CIC


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