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A single set of numerical cutpoints to define moderate and severe symptoms for the Edmonton Symptom Assessment System.

机译:一组数字临界点,用于定义埃德蒙顿症状评估系统的中度和重度症状。

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摘要

Symptom intensity in cancer and palliative care patients is frequently assessed using a 0-10 ranking score. Results are then often grouped into verbal categories (mild, moderate, or severe) to guide therapy. Numerical cutpoints separating these categories are often variable, with previous work suggesting different cutpoints across different symptoms, which is unwieldy for clinical use. The Edmonton Symptom Assessment Symptom (ESAS) assesses nine common symptoms using this 0-10 scale. The primary aim of this study was to examine the relationship between the numerical and verbal scores using the ESAS and to identify a single cutpoint to separate severe from nonsevere symptomatology. A second goal was to similarly identify a cutpoint to separate moderate or severe from none or mild symptom intensity. Consenting patients (n=400) completed both a standard ESAS and an identical form that replaced 0-10 with none, mild, moderate, and severe. Receiver operating characteristic curves were generated to identify the best fit between sensitivity and specificity. For the "severe" ranking, six symptoms had a best fit of 7, with sensitivity for the remaining three symptoms still greater than 80%. For the combined grouping of moderate or severe, results were less uniform. A cutpoint of either 4 or 5 would be supported by our data, with a greater sensitivity using 4 and improved specificity using 5 as the cutpoint. Across all ESAS symptoms, then, 7 or higher represents a severe symptom by patient definition, whereas a cutpoint of either 4 or 5 could reasonably define combined moderate and severe symptoms.
机译:癌症和姑息治疗患者的症状强度通常使用0-10评分进行评估。然后通常将结果分为语言类别(轻度,中度或重度)以指导治疗。划分这些类别的数字临界点通常是可变的,先前的工作表明针对不同症状的临界点不同,这对于临床使用而言是不方便的。埃德蒙顿症状评估症状(ESAS)使用此0-10量表评估九种常见症状。这项研究的主要目的是使用ESAS检查数字评分与口头评分之间的关​​系,并确定将严重症状与非严重症状分开的单个切入点。第二个目标是类似地确定一个临界点,以将中度或重度与无或轻度症状强度区分开。同意的患者(n = 400)完成了标准的ESAS和相同的形式,用轻,中,重度均不替换0-10。生成接收器工作特性曲线以识别灵敏度和特异性之间的最佳拟合。对于“严重”排名,六个症状最适合7,其余三个症状的敏感性仍大于80%。对于中度或重度的合并分组,结果不太统一。我们的数据将支持4或5的临界点,使用4作为临界点时灵敏度更高,使用5作为临界点时特异性更高。在所有ESAS症状中,根据患者定义,7或更高代表严重症状,而4或5的临界点可以合理定义中度和严重症状的组合。

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