CORNELISSEN, Germaine, Cathy Lee GIERKE, Yoshihiko WATANABE, Larry A. BEATY, Jarmila SIEGELOVÁ, Alain DELCOURT, Christian DERUYCK, Ram B. SINGH, Miguel A. REVILLA and Kuniaki OTSUKA. Ambulatory Blood Pressure Monitoring for Clinical Applications and Basic Science. World Heart Journal. New York: Nova Science Publishers, 2015, vol. 7, No 2, p. 107-117. ISSN 1556-4002.
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Basic information
Original name Ambulatory Blood Pressure Monitoring for Clinical Applications and Basic Science
Authors CORNELISSEN, Germaine (840 United States of America), Cathy Lee GIERKE (840 United States of America), Yoshihiko WATANABE (392 Japan), Larry A. BEATY (840 United States of America), Jarmila SIEGELOVÁ (203 Czech Republic, guarantor, belonging to the institution), Alain DELCOURT (840 United States of America), Christian DERUYCK (840 United States of America), Ram B. SINGH (356 India), Miguel A. REVILLA (724 Spain) and Kuniaki OTSUKA (392 Japan).
Edition World Heart Journal, New York, Nova Science Publishers, 2015, 1556-4002.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30000 3. Medical and Health Sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14110/15:00083493
Organization unit Faculty of Medicine
Keywords in English Bland-Altman plot; circadian; daily sphygmochrons; day-to-day variability; individualized chronotherapy; vascular variability disorders
Tags EL OK
Tags International impact, Reviewed
Changed by Changed by: Soňa Böhmová, učo 232884. Changed: 3/8/2015 08:55.
Abstract
Monitoring for spans longer then 24 hours, prefably for 7 days at the outset, has been advocated to obtain more reliable estimates of the circadian characteristics of blood pressure and heart rate. Herein, using data from a chronotherapy tria, we adress the desirability of complementing the global analysis of the entire record by the computation of daily sphygmochrons to gain a better assessment of the day-to-day variability in the circadian patterns of these variables.
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