The purpose of the project was to examine measures of heart rate variability (HRV), continuously and noninvasively, in male and female alcoholics admitted for drinking cessation. The peripheral manifestations of alcohol withdrawal syndrome (AWS) are characterized by rapidly changing autonomic influences. These may vary, minute to minute and hour to hour, depending on the severity and stage of AWS. We developed measures of HRV which are relatively insensitive to non- stationarity of signal and capture relevant data during short periods of measurement. We are now analyzing data from human subjects admitted for treatment of alcohol withdrawal syndrome. Alcoholic subjects are known to have IBI time-series which are significantly less complex than healthy comparison subjects. Our question was whether abstention from alcohol use for a period of 4 to 6 weeks would result in normalization of the complexity measure back to baseline, as defined by healthy comparison subjects or if the decreased signal complexity remains stable for a period of 4 to 6 weeks. Preliminary analysis of this data shows that cardiac signal complexity increases with the length of time since the last intake of alcohol. However, even at 4 weeks, the measure does not return to the expected baseline. This suggests that either a) the length of time required for the measure to return to baseline is longer than 4 weeks, b) chronic excessive alcohol intake results in permanent autonomic disruption resulting in altered cardiac signal dynamics or c) subjects who consume excessive amounts of alcohol have a premorbid alteration in autonomic function. Of two manuscripts related to this work, one has been published and one is in press. One other manuscript is being prepared. In future work related to this project, we will address possible mechanisms of alterations in cardiac signal complexity. One major question to be answered is whether the alterations in cardiac signal dynamics we have found are associated with sub-clinical abnormalities of cardiac function. - heart, alcohol withdrawal, ethnicity, gender, signal dynamics - Human Subjects

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Intramural Research (Z01)
Project #
1Z01AA000092-04
Application #
6288647
Study Section
Special Emphasis Panel (LCS)
Project Start
Project End
Budget Start
Budget End
Support Year
4
Fiscal Year
1999
Total Cost
Indirect Cost
Name
National Institute on Alcohol Abuse and Alcoholism
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Karimullah, K; George, D T; DePetrillo, P B (2001) The time-course of electrocardiographic interbeat interval dynamics in alcoholic subjects after short-term abstinence. Eur J Pharmacol 427:227-33
DePetrillo, P B; Bennett, A J; Speers, D et al. (2000) Ondansetron modulates pharmacodynamic effects of ketamine on electrocardiographic signals in rhesus monkeys. Eur J Pharmacol 391:113-9
DePetrillo, P B; White, K V; Liu, M et al. (1999) Effects of alcohol use and gender on the dynamics of EKG time-series data. Alcohol Clin Exp Res 23:745-50