Publication in refereed journal
香港中文大学研究人员 ( 现职)
| 郭志德教授 (麻醉及深切治疗学系) |
全文
| 数位物件识别号 (DOI) http://dx.doi.org/10.1023/A:1009982611386 |
引用次数
Web of Sciencehttp://aims.cuhk.edu.hk/converis/portal/Publication/637WOS source URL
其它资讯
摘要Introduction. Bias and precision statistics have succeeded regression analysis when measurement techniques are compared. However, when applied to cardiac output measurements, inconsistencies occur in reporting the results of this form of analysis. Methods. A MEDLINE search was performed, dating from 1986. Studies comparing techniques of cardiac output measurement using bias and precision statistics were surveyed. An error-gram was constructed from the percentage errors in the test and reference methods and was used to determine acceptable limits of agreement between methods. Results. Twenty-five articles were found. Presentation of statistical data varied greatly. Four different statistical parameters were used to describe the agreement between measurements. The overall limits of agreement in studies evaluating bioimpedance (n = 23) was +/-37% (15-82%) and in those evaluating Doppler ultrasound (n = 11) +/-65% (25-225%). Objective criteria used to assess outcome were given in only 44% of the articles. These were (i) limits of agreement approaching +/-15-20%, (ii) limits of agreement of less than 1 L/min, and (iii) more than 75% of bias measurements within +/-20% of the mean. Graphically, we showed that limits of agreement of up to +/-30% were acceptable. Conclusions. When using bias and precision statistics, cardiac output, bias, limits of agreement, and percentage error should be presented. Using current reference methods, acceptance of a new technique should rely on limits of agreement of up to +/-30%.
着者Critchley LAH, Critchley JAJH
期刊名称Journal of Clinical Monitoring and Computing
出版年份1999
月份2
日期1
卷号15
期次2
出版社KLUWER ACADEMIC PUBL
页次85 - 91
国际标準期刊号1387-1307
电子国际标準期刊号1573-2614
语言英式英语
关键词cardiac output; measurement techniques : thermodilution, impedance cardiography, Doppler, Fick; statistical methods
Web of Science 学科类别Anesthesiology; ANESTHESIOLOGY
