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在临床实践中使用 EORTC-QLQ-C30 进行患者管理:识别需要临床医生关注的评分。

Using the EORTC-QLQ-C30 in clinical practice for patient management: identifying scores requiring a clinician's attention.

机构信息

Division of General Internal Medicine, Johns Hopkins School of Medicine, 624 N. Broadway, Room 657, Baltimore, MD, 21205, USA,

出版信息

Qual Life Res. 2013 Dec;22(10):2685-91. doi: 10.1007/s11136-013-0387-8. Epub 2013 Mar 27.

Abstract

PURPOSE

Patient-reported outcomes (PROs) are used increasingly for individual patient management. Identifying which PRO scores require a clinician's attention is an ongoing challenge. Previous research used a needs assessment to identify EORTC-QLQ-C30 cutoff scores representing unmet needs. This analysis attempted to replicate the previous findings in a new and larger sample.

METHODS

This analysis used data from 408 Japanese ambulatory breast cancer patients who completed the QLQ-C30 and Supportive Care Needs Survey-Short Form-34 (SCNS-SF34). Applying the methods used previously, SCNS-SF34 item/domain scores were dichotomized as no versus some unmet need. We calculated area under the receiver operating characteristic curve (AUC) to evaluate QLQ-C30 scores' ability to discriminate between patients with no versus some unmet need based on SCNS-SF34 items/domains. For QLQ-C30 domains with AUC ≥ 0.70, we calculated the sensitivity, specificity, and predictive value of various cutoffs for identifying unmet needs. We hypothesized that compared to our original analysis, (1) the same six QLQ-C30 domains would have AUC ≥ 0.70, (2) the same SCNS-SF34 items would be best discriminated by QLQ-C30 scores, and (3) the sensitivity and specificity of our original cutoff scores would be supported.

RESULTS

The findings from our original analysis were supported. The same six domains with AUC ≥ 0.70 in the original analysis had AUC ≥ 0.70 in this new sample, and the same SCNS-SF34 item was best discriminated by QLQ-C30 scores. Cutoff scores were identified with sensitivity ≥0.84 and specificity ≥0.54.

CONCLUSION

Given these findings' concordance with our previous analysis, these QLQ-C30 cutoffs could be implemented in clinical practice and their usefulness evaluated.

摘要

目的

患者报告的结局(PROs)越来越多地用于患者的个体化管理。确定哪些 PRO 评分需要临床医生关注是一个持续存在的挑战。先前的研究使用需求评估来确定代表未满足需求的 EORTC-QLQ-C30 截断分数。本分析试图在一个新的、更大的样本中复制先前的发现。

方法

本分析使用了 408 名完成 QLQ-C30 和支持性护理需求调查-短表-34(SCNS-SF34)的日本门诊乳腺癌患者的数据。应用先前使用的方法,将 SCNS-SF34 项目/域评分分为无未满足需求和有未满足需求。我们计算了接收者操作特征曲线下的面积(AUC),以评估 QLQ-C30 评分根据 SCNS-SF34 项目/域区分无未满足需求和有未满足需求的能力。对于 AUC≥0.70 的 QLQ-C30 域,我们计算了各种截断值识别未满足需求的敏感性、特异性和预测值。我们假设与原始分析相比,(1)相同的六个 QLQ-C30 域将具有 AUC≥0.70,(2)相同的 SCNS-SF34 项目将被 QLQ-C30 评分最佳区分,以及(3)我们原始截断分数的敏感性和特异性将得到支持。

结果

支持我们原始分析的发现。在原始分析中 AUC≥0.70 的相同六个领域在新样本中 AUC≥0.70,并且相同的 SCNS-SF34 项目被 QLQ-C30 评分最佳区分。确定了截断值,其敏感性≥0.84,特异性≥0.54。

结论

鉴于这些发现与我们先前的分析一致,这些 QLQ-C30 截断值可以在临床实践中实施,并评估其有用性。

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