Odor Peter M, Bampoe Sohail, Cecconi Maurizio
Department of Anaesthesia, St. George's University Hospital, London, SW17 0QT UK.
Centre for Perioperative Medicine, University College London, London, UK.
Curr Anesthesiol Rep. 2017;7(4):410-415. doi: 10.1007/s40140-017-0239-0. Epub 2017 Oct 27.
Cardiac output monitors can be assessed by a variety of techniques, but a common principle is quantifying agreement between a reference standard and new monitor. The current standard analysis technique is a Bland-Altman plot. The Bland-Altman plot evaluates bias between mean differences of cardiac output, from which an agreement interval is derived. These limits are, however, statistical limits of agreement and the clinical acceptability will depend upon context and application. This article provides suggestions for understanding and presenting the results of cardiac output validation, using standard metrology alongside proposals for criteria used to accept new techniques.
Confusion about the appropriate way to report "precision" in method comparison studies stem from a lack of clarity on how single or repeated measurements should be interpreted. During serial measurements of cardiac output the true value changes, thus measurement should be considered as serial rather than repeated. Method agreement based upon precision achieved by cardiac output monitors needs to consider each method's general variability around true values obtained and this data should be generated and presented as part of each study design.
Studies should report serial measurements from two techniques for cardiac output monitoring. Results of similar techniques from other studies may not always be transferred and compared. Bias and intervals of agreement should be presented as Bland-Altman plots with dynamic cardiac output trends in polar plots. Percentage error should be calculated to allow appropriate comparison of techniques for study populations with different expected cardiac output values.
心输出量监测仪可通过多种技术进行评估,但一个共同原则是量化参考标准与新监测仪之间的一致性。当前的标准分析技术是布兰德-奥特曼图。布兰德-奥特曼图评估心输出量平均差异之间的偏差,并由此得出一致性区间。然而,这些界限是统计上的一致性界限,临床可接受性将取决于具体情况和应用。本文提供了一些建议,以帮助理解和呈现心输出量验证结果,使用标准计量学,并提出了用于接受新技术的标准建议。
方法比较研究中关于报告“精密度”的适当方式的困惑源于对单次或重复测量应如何解释缺乏清晰认识。在心输出量的连续测量过程中,真实值会发生变化,因此测量应被视为连续的而非重复的。基于心输出量监测仪实现的精密度的方法一致性需要考虑每种方法围绕所获得的真实值的总体变异性,并且该数据应作为每个研究设计的一部分生成并呈现。
研究应报告两种心输出量监测技术的连续测量结果。其他研究中类似技术的结果可能并不总是可以转移和比较的。偏差和一致性区间应作为布兰德-奥特曼图呈现,并在极坐标图中显示动态心输出量趋势。应计算百分比误差,以便对具有不同预期心输出量值的研究人群的技术进行适当比较。