Risk stratification by autonomic information flow characteristics

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

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

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

OriginalspracheEnglisch
Titel2006 Computers in Cardiology, CIC
Seiten425-428
Seitenumfang4
PublikationsstatusVeröffentlicht - 2006
Veranstaltung2006 Computers in Cardiology, CIC - Valencia, Spanien
Dauer: 17 Sept. 200620 Sept. 2006

Publikationsreihe

NameComputers in Cardiology
Band33
ISSN (Print)0276-6574

Konferenz

Konferenz2006 Computers in Cardiology, CIC
Land/GebietSpanien
OrtValencia
Zeitraum17/09/0620/09/06

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