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癌症患者的抑郁和焦虑的两步筛查:基于真实世界数据的回顾性验证研究。

Two-Step Screening for Depression and Anxiety in Patients with Cancer: A Retrospective Validation Study Using Real-World Data.

机构信息

MD/PhD Program, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada.

Department of Supportive Care, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 1X6, Canada.

出版信息

Curr Oncol. 2024 Oct 23;31(11):6488-6501. doi: 10.3390/curroncol31110481.

Abstract

Although screening for distress is recommended by many cancer care guidelines, the uptake of such screening in cancer centers remains limited. Improving the acceptability of screening programs in cancer centers requires a reduction in clinical burden and an improved detection of distress. The purpose of this study was to validate the performance of the two-step screening algorithm used in the Distress Assessment and Response Tool (DART) for identifying cases of anxiety and depression. : This retrospective validation study consisted of patients at the Princess Margaret Cancer Centre (PM) who completed the DART, which includes the Edmonton Symptom Assessment System depression (ESAS-D) and anxiety (ESAS-A) items, the Patient Health Questionnaire (PHQ-9), and the Generalized Anxiety Disorder (GAD-7). We evaluated the performance of a two-step screening approach, which modeled the ESAS-D, followed by the PHQ-9 and ESAS-A, then the GAD-7 for predicting a diagnosis of depression and anxiety disorders, respectively. A clinical psychiatric assessment was used as the gold standard reference. A total of 172 patients with cancer were included in this study. A total of 59/172 (34%) and 39/172 (23%) were diagnosed with a depression or anxiety disorder, respectively. The sequential administration of the PHQ-9 ≥15 following the ESAS-D (>2) significantly increased the post-test probability of depression from 37% to 60% and improved the performance of predicting depression compared to both the ESAS-D or the PHQ-9 as standalone tests. The sequential administration of the GAD-7 after the ESAS-A did not improve the predictability of an anxiety diagnosis beyond the performance of the ESAS-A or the GAD-7 as standalone tests. The present study is among the first to demonstrate that a two-step screening algorithm for depression may improve depression screening in cancer using real-world data. Further research on optimal screening approaches for anxiety in cancer is warranted.

摘要

虽然许多癌症护理指南都建议对痛苦进行筛查,但癌症中心对这种筛查的接受程度仍然有限。要提高癌症中心筛查计划的可接受性,就需要降低临床负担,并提高对痛苦的检测。本研究的目的是验证用于识别焦虑和抑郁病例的 DART(Distress Assessment and Response Tool)两步筛查算法的性能。

这项回顾性验证研究包括在玛格丽特公主癌症中心(PM)接受 DART 评估的患者,该评估包括 Edmonton 症状评估系统抑郁(ESAS-D)和焦虑(ESAS-A)条目、患者健康问卷(PHQ-9)和广泛性焦虑障碍(GAD-7)。我们评估了两步筛查方法的性能,该方法模拟了 ESAS-D,然后是 PHQ-9 和 ESAS-A,然后是 GAD-7,分别用于预测抑郁和焦虑障碍的诊断。临床精神病学评估被用作金标准参考。

共有 172 名癌症患者纳入本研究。共有 59/172(34%)和 39/172(23%)分别被诊断为抑郁症或焦虑症。在 ESAS-D(>2)后,PHQ-9≥15 的连续给药显著将抑郁的后验概率从 37%提高到 60%,并提高了与 ESAS-D 或 PHQ-9 作为单独测试相比,预测抑郁的性能。在 ESAS-A 后使用 GAD-7 进行连续给药并没有提高焦虑诊断的可预测性,超过了 ESAS-A 或 GAD-7 作为单独测试的性能。

本研究是首批证明两步筛查算法可提高使用真实世界数据对癌症患者进行抑郁筛查的研究之一。需要进一步研究癌症中焦虑的最佳筛查方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4d1/11592598/757e49d5106d/curroncol-31-00481-g001.jpg

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