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使用 MD 安德森症状量表筛查癌症患者的抑郁情绪:一种对肿瘤医生实用方法的调查。

Screening for depressed mood in patients with cancer using the MD Anderson Symptom Inventory: investigation of a practical approach for the oncologist.

机构信息

The University of Texas MD Anderson Cancer Center, Houston, TX.

出版信息

J Oncol Pract. 2014 Mar;10(2):e95-102. doi: 10.1200/JOP.2013.001112. Epub 2013 Nov 26.

DOI:10.1200/JOP.2013.001112
PMID:24281151
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3948713/
Abstract

PURPOSE

Depression is a significant concern in outpatient oncology care, yet clinicians face practical challenges in accurately and efficiently screening patients for it. This study investigated whether a single item or multiple items from an existing multisymptom scale, the MD Anderson Symptom Inventory (MDASI), might serve as effective initial screens for depressed mood.

METHODS

Data were collected from two cohorts of patients. Cohort 1 comprised 187 patients with non-small-cell lung cancer who completed the Beck Depression Inventory II; cohort 2 comprised 281 patients with renal cell carcinoma who completed the Center for Epidemiologic Studies Depression Scale. All patients completed the MDASI. Single-item and multiple-item MDASI solutions were identified using cohort 1 and validated in cohort 2. Sensitivity and specificity of the solutions were assessed through binary linear regression; cut points were identified using receiver operating characteristic analysis.

RESULTS

The MDASI single item "sadness" was the best solution identified in cohort 1 for screening for depressed mood relative to other affective items (distress, enjoyment of life, mood). At a cut point ≥ 4 (0 to 10 scale), the "sadness" item exhibited a clinically acceptable specificity of 81.5%, sensitivity of 72.0%, a negative predictive value of 95.0%, and a positive predictive value of 37.5%. This solution was successfully validated in cohort 2.

CONCLUSION

The MDASI "sadness" item has modest sensitivity and high negative predictive value and can serve as a useful initial screen for depressed mood. This approach may improve the efficiency and acceptability of depression screening for both clinicians and patients.

摘要

目的

抑郁是门诊肿瘤学护理中的一个重要问题,但临床医生在准确和有效地对患者进行筛查时面临实际挑战。本研究探讨了现有多症状量表(MD Anderson 症状量表,MDASI)中的一个单一项目或多个项目是否可以作为抑郁情绪的有效初始筛查工具。

方法

数据来自两个患者队列。队列 1 包括 187 例非小细胞肺癌患者,他们完成了贝克抑郁量表 II;队列 2 包括 281 例肾细胞癌患者,他们完成了流行病学研究中心抑郁量表。所有患者均完成了 MDASI。使用队列 1 确定单项目和多项目 MDASI 解决方案,并在队列 2 中进行验证。通过二元线性回归评估解决方案的敏感性和特异性;使用受试者工作特征分析确定切点。

结果

与其他情感项目(痛苦、生活享受、情绪)相比,MDASI 单一项目“悲伤”是队列 1 中筛查抑郁情绪的最佳解决方案。在切点≥4(0 至 10 分)时,“悲伤”项目表现出可接受的特异性 81.5%、敏感性 72.0%、阴性预测值 95.0%和阳性预测值 37.5%。该解决方案在队列 2 中得到了成功验证。

结论

MDASI“悲伤”项目具有适度的敏感性和高阴性预测值,可以作为抑郁情绪的有用初始筛查工具。这种方法可以提高临床医生和患者对抑郁筛查的效率和可接受性。

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