a Discipline of Laboratory Medicine , Memorial University; Eastern Health Authority , St. John's , NL , Canada.
b Faculty of Medicine , Memorial University; Eastern Health Authority , St. John's , NL , Canada.
Crit Rev Clin Lab Sci. 2019 Mar;56(2):75-97. doi: 10.1080/10408363.2018.1540536. Epub 2019 Jan 11.
International standards and practice guidelines recommend the use of delta check alerts for laboratory test result interpretation and quality control. The value of contemporary applications of simple univariate delta checks determined as an absolute change, percentage change, or rate of change to recognize specimen misidentification or other laboratory errors has not received much study. This review addresses these three modes of calculation, but in line with the majority of published work, most attention is focused on the identification of specimen misidentification errors. Investigation of delta check alerts are time-consuming and the yield of identified errors is usually small compared to the number of delta check alerts; however, measured analytes with low indices of individuality frequently perform better. While multivariate approaches to delta checks suggest improved usefulness over simple univariate delta check strategies, some of these are complex and not easily applied in contemporary laboratory information systems and middleware. Nevertheless, a simple application of delta checks may hold value in identifying clinically significant changes in several clinical situations: for acute kidney injury using changes in serum creatinine, for risk of osmotic demyelination syndrome using rapid acute changes in serum sodium levels, or for early triage of chest pain patients using high sensitivity troponin assays. A careful and highly selective approach to identifying delta check analytes, calculation modes, and thresholds before putting them into practice is warranted; then follow-up with careful monitoring of performance and balancing true positives, false negatives, and false positives among delta check alerts is needed.
国际标准和实践指南建议使用 delta 检验警报来解释实验室检测结果和进行质量控制。目前,对简单的单变量 delta 检验的应用价值,即通过绝对变化、百分比变化或变化率来识别标本错误识别或其他实验室错误的价值,尚未得到广泛研究。本综述探讨了这三种计算模式,但与大多数已发表的工作一致,大多数注意力集中在识别标本错误识别错误上。对 delta 检验警报的调查很耗时,与 delta 检验警报的数量相比,识别出的错误通常很少;然而,具有低个体指数的测量分析物通常表现更好。虽然 delta 检验的多变量方法表明比简单的单变量 delta 检验策略更有用,但其中一些方法比较复杂,不容易应用于当代实验室信息系统和中间件中。然而,在几种临床情况下,delta 检验的简单应用可能具有识别临床显著变化的价值:使用血清肌酐变化来诊断急性肾损伤,使用血清钠水平的快速急性变化来诊断渗透性脱髓鞘综合征的风险,或使用高敏肌钙蛋白检测来对胸痛患者进行早期分诊。在将其付诸实践之前,有必要对 delta 检验分析物、计算模式和阈值进行仔细和高度选择性的识别;然后需要仔细监测性能,并在 delta 检验警报中平衡真阳性、假阴性和假阳性。