Cardiac surgical outcome prediction by blood pressure variability indices Poincaré plot and coefficient of variation: a retrospective study
作者: Senthil PackiasabapathyVaresh PrasadValluvan RangasamyDavid PopokXinling XuVictor NovackBalachundhar Subramaniam
作者单位: 1Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
2Harvard-Massachusetts Institute of Technology Program in Health Sciences and Technology, Cambridge, MA, USA
3Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
4Clinical Research Center, Soroka University Medical Center and Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
5Associate Professor of Anesthesia, Harvard Medical School, Ellison “Jeep” Pierce endowed chair of Anesthesia, Director, Centre for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, One Deaconess Road, CC-650, 02215, Boston, MA, USA
刊名: BMC Anesthesiology, 2020, Vol.20 (3), pp.201-209F
来源数据库: Springer Nature Journal
DOI: 10.1186/s12871-020-00972-5
关键词: BP variabilityPoincaré plotCoefficient of variationCardiac surgerySTS risk score
英文摘要: Abstract(#br)Background(#br)Recent literature suggests a significant association between blood pressure variability (BPV) and postoperative outcomes after cardiac surgery. However, its outcome prediction ability remains unclear. Current prediction models use static preoperative patient factors. We explored the ability of Poincaré plots and coefficient of variation (CV) by measuring intraoperative BPV in predicting adverse outcomes. Methods(#br)In this retrospective, observational, cohort study, 3687 adult patients (> 18 years) undergoing cardiac surgery requiring cardio-pulmonary bypass from 2008 to 2014 were included. Blood pressure variability was computed by Poincare plots and CV. Standard descriptors (SD) SD1, SD2 were measured with Poincare plots by ellipse fitting technique. The...
全文获取路径: Springer Nature  (合作)
影响因子:1.188 (2012)