title: Association between short term and long term communication in pathological autonomic control.
abstract: Autonomic Information Flow (AIF) reflects the time scale dependence of autonomic communications such as vagal, sympathetic, and slower rhythms and their complex interplay. We investigated the hypothesis that pathologically disturbed short term control is associated with simplified complex long term control. This particular characteristic of altered autonomic communication was evaluated in different medical patient groups. Holter recordings were assessed in patients with multiple organ dysfunction (MODS) (26 survivors, 10 non-survivors); with heart failure (14 low risk-without history of aborted cardiac arrest (CA), 13 high risk--with history of CA); with idiopathic dilated cardiomyopathy (IDC) (26 low risk, 11 high risk of CA), after myocardial infarction (MI) (1221 low risk--survivors, 55 high risk--non-survivors); after abdominal aorta surgery (AAS, 32 length of stay in hospital LOS>7 days, 62 LOS < or =7 days). AIF of short and long time scales was investigated. We found a fundamental association of increased short term randomness and decreased long term randomness due to pathology. Concerning risk, high risk patients were characterized by increased short term complexity and decreased long term complexity in all patients groups with the exception of the IDC patients. We conclude that different time scales of AIF represent specific pathophysiological aspects of altered autonomic communication and control. The association of altered short term control with simplified long term behavior might be a pathophysiologically relevant compensation mechanism in the case of a disturbed fastest actuator. This knowledge might be useful for the development of comprehensive therapeutic strategies besides the predictive implications.
authors.affiliation: Dept. of Neurology, Friedrich-Schiller-University, Jena, Germany. dirk.hoyer@biomag.uni-jena.de
authors.forename: D
authors.initials: D
authors.lastname: Hoyer
authors.forename: B
authors.initials: B
authors.lastname: Frank
authors.forename: Ch
authors.initials: Ch
authors.lastname: Götze
authors.forename: R
authors.initials: R
authors.lastname: Baranowski
authors.forename: J J
authors.initials: JJ
authors.lastname: Zebrowski
authors.forename: M
authors.initials: M
authors.lastname: Vallverdú
authors.forename: M
authors.initials: M
authors.lastname: Palacios
authors.forename: P
authors.initials: P
authors.lastname: Caminal
authors.forename: A
authors.initials: A
authors.lastname: Bayés de Luna
authors.forename: P K
authors.initials: PK
authors.lastname: Stein
authors.forename: G
authors.initials: G
authors.lastname: Schmidt
authors.forename: H
authors.initials: H
authors.lastname: Schmidt
mesh_terms: D001341:Autonomic Nervous System / Q000503:physiopathology*; D001342:Autonomic Nervous System Diseases / Q000175:diagnosis / Q000503:physiopathology*; D001683:Biological Clocks; D002318:Cardiovascular Diseases / Q000175:diagnosis / Q000503:physiopathology*; D003198:Computer Simulation; D005246:Feedback; D006801:Humans; D008954:Models, Biological