Lester A Critchley1, Xiao X Yang, Anna Lee. 1. Department of Anaesthesia & Intensive Care, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, China. hcritchley@cuhk.edu.hk
Abstract
OBJECTIVES: To develop a valid statistical method of showing acceptable cardiac output (CO) trending ability when new CO monitors are compared to a reference standard, such as thermodilution, using polar coordinates. DESIGN: Developing a new statistical analytic method using historic data. SETTING: University Hospital Anesthesia and Intensive Care Department. PARTICIPANTS: Data taken from previously published CO validation studies. INTERVENTIONS: Cartesian data were reanalyzed, being uplifted using Data Thief 3.0 software (http://datathief.org/). Polar plots were constructed from this data. Central zone data (<0.5 L/min or <10% change) were excluded because they introduced statistical noise. Trial polar criteria were set using data from a study that compared 5 CO monitors against thermodilution. Then, these criteria were further validated using data extracted from 15 other studies. Mean (95% confidence intervals) polar angles were used. MEASUREMENTS AND MAIN RESULTS: Trial data suggest ±5° (angle) ±30° (95% confidence interval) as acceptance limits. Concordance rates (ie, >95%-90%) from 5 articles supported trending, and polar data from these studies concurred with the authors' pilot criteria. Favorable comments on trending also were found in 8 of 15 articles in which radial limits were less than ±32°. Good calibration was associated with a mean polar angle of less than ±5°. CONCLUSIONS: Polar plots can be used to show the trending ability of CO monitors in comparative validation studies. They overcome the deficiencies of concordance analysis, which uses the direction of change as a statistic and ignores the magnitude of change in CO.
OBJECTIVES: To develop a valid statistical method of showing acceptable cardiac output (CO) trending ability when new CO monitors are compared to a reference standard, such as thermodilution, using polar coordinates. DESIGN: Developing a new statistical analytic method using historic data. SETTING: University Hospital Anesthesia and Intensive Care Department. PARTICIPANTS: Data taken from previously published CO validation studies. INTERVENTIONS: Cartesian data were reanalyzed, being uplifted using Data Thief 3.0 software (http://datathief.org/). Polar plots were constructed from this data. Central zone data (<0.5 L/min or <10% change) were excluded because they introduced statistical noise. Trial polar criteria were set using data from a study that compared 5 CO monitors against thermodilution. Then, these criteria were further validated using data extracted from 15 other studies. Mean (95% confidence intervals) polar angles were used. MEASUREMENTS AND MAIN RESULTS: Trial data suggest ±5° (angle) ±30° (95% confidence interval) as acceptance limits. Concordance rates (ie, >95%-90%) from 5 articles supported trending, and polar data from these studies concurred with the authors' pilot criteria. Favorable comments on trending also were found in 8 of 15 articles in which radial limits were less than ±32°. Good calibration was associated with a mean polar angle of less than ±5°. CONCLUSIONS: Polar plots can be used to show the trending ability of CO monitors in comparative validation studies. They overcome the deficiencies of concordance analysis, which uses the direction of change as a statistic and ignores the magnitude of change in CO.
Authors: Matthew Lee; Laurence Weinberg; Brett Pearce; Nicholas Scurrah; David A Story; Param Pillai; Peter R McCall; Larry P McNicol; Philip J Peyton Journal: J Clin Monit Comput Date: 2016-02-16 Impact factor: 2.502
Authors: Michael T Ganter; Jamal A Alhashemi; Adel M Al-Shabasy; Ursina M Schmid; Peter Schott; Sanaa A Shalabi; Ahmed M Badri; Sonja Hartnack; Christoph K Hofer Journal: J Clin Monit Comput Date: 2015-02-27 Impact factor: 2.502