Department of Anesthesia and Intensive Care, Azienda Ospedaliero Universitaria Udine, Piazzale Santa Maria della Misericordia, Udine, Italy.
Crit Care. 2009;13(1):201. doi: 10.1186/cc7129. Epub 2009 Jan 13.
Bland-Altman analysis is used for assessing agreement between two measurements of the same clinical variable. In the field of cardiac output monitoring, its results, in terms of bias and limits of agreement, are often difficult to interpret, leading clinicians to use a cutoff of 30% in the percentage error in order to decide whether a new technique may be considered a good alternative. This percentage error of +/- 30% arises from the assumption that the commonly used reference technique, intermittent thermodilution, has a precision of +/- 20% or less. The combination of two precisions of +/- 20% equates to a total error of +/- 28.3%, which is commonly rounded up to +/- 30%. Thus, finding a percentage error of less than +/- 30% should equate to the new tested technique having an error similar to the reference, which therefore should be acceptable. In a worked example in this paper, we discuss the limitations of this approach, in particular in regard to the situation in which the reference technique may be either more or less precise than would normally be expected. This can lead to inappropriate conclusions being drawn from data acquired in validation studies of new monitoring technologies. We conclude that it is not acceptable to present comparison studies quoting percentage error as an acceptability criteria without reporting the precision of the reference technique.
Bland-Altman 分析用于评估同一临床变量的两种测量方法之间的一致性。在心输出量监测领域,其结果(以偏差和一致性界限表示)通常难以解释,导致临床医生使用 30%的百分比误差作为新方法是否可作为良好替代的判断标准。这种 +/- 30%的百分比误差来自于以下假设:常用的参考技术,即间歇式热稀释法,其精度为 +/- 20%或更低。两种 +/- 20%精度的组合相当于总误差为 +/- 28.3%,通常四舍五入为 +/- 30%。因此,发现百分比误差小于 +/- 30%,应表示新测试技术的误差与参考技术相似,因此可以接受。在本文的一个实例中,我们讨论了这种方法的局限性,特别是在参考技术的精度可能高于或低于预期的情况下。这可能导致从新监测技术验证研究中获得的数据得出不恰当的结论。我们得出的结论是,如果不报告参考技术的精度,仅以百分比误差作为可接受性标准来呈现比较研究是不可接受的。