Development and Validation of a Screening Tool for Generalized Anxiety and Major Depressive Disorder in Patients with Chronic Obstructive Pulmonary Disease.

IF 4.6 2区 医学 Q1 RESPIRATORY SYSTEM
Lung Pub Date : 2024-11-29 DOI:10.1007/s00408-024-00767-2
Meishan Liu, Xuwen Yang, Dong Wang, Jiexin Fang, Boyu Li, Li An, Yuhan Chang, Haiman Liu, Yongdong Hu, Kewu Huang
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Abstract

Purpose: Anxiety and depression are often underdiagnosed in patients with chronic obstructive pulmonary disease (COPD). This study aimed to develop and validate a screening tool for anxiety and depression in COPD patients.

Methods: Stable COPD patients were consecutively recruited from November 2021 to October 2023 and underwent a psychiatric interview to diagnose generalized anxiety disorder (GAD) and/or major depressive disorder (MDD) based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Patients were split into training and validation sets according to their recruitment time. We assessed known risk factors and used core items from the Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS) to develop a prediction nomogram. Multivariable logistic regression with least absolute shrinkage and selection operator (LASSO) were used to construct the nomogram.

Results: Among the enrolled COPD patients (n = 329), 58 (25.6%) in the training cohort and 33 (32.4%) in the validation cohort were diagnosed with GAD and/or MDD. Three variables were identified in the prediction nomogram: COPD Assessment Test score and two core items from PHQ-ADS. The under the curve (AUC) value for the nomogram was 0.826 (95% CI: 0.755-0.897) and 0.855 (95% CI: 0.767-0.942) in the training and validation cohorts, respectively. The calibration curve was close to the diagonal. The discriminatory power of the screening nomogram was comparable to that of PHQ-ADS (AUC: 0.826 vs. 0.831, P = 0.832).

Conclusion: The new screening tool for GAD and MDD in COPD patients is concise and valid, with discriminatory power comparable to existing anxiety/depression screening questionnaires.

慢性阻塞性肺疾病患者广泛性焦虑和重度抑郁障碍筛查工具的开发和验证
目的:慢性阻塞性肺疾病(COPD)患者的焦虑和抑郁常被误诊。本研究旨在开发和验证COPD患者焦虑和抑郁的筛查工具。方法:从2021年11月至2023年10月连续招募稳定型COPD患者,并根据《精神障碍诊断与统计手册》第五版进行精神病学访谈,诊断广泛性焦虑障碍(GAD)和/或重度抑郁症(MDD)。根据招募时间将患者分为训练组和验证组。我们评估了已知的危险因素,并使用患者健康问卷焦虑和抑郁量表(PHQ-ADS)的核心项目来制定预测nomogram。采用最小绝对收缩的多变量逻辑回归和选择算子(LASSO)来构建模态图。结果:在纳入的COPD患者(n = 329)中,训练队列中有58例(25.6%),验证队列中有33例(32.4%)被诊断为GAD和/或MDD。预测图中确定了三个变量:COPD评估测试得分和PHQ-ADS中的两个核心项目。训练组和验证组的曲线下AUC值分别为0.826 (95% CI: 0.755-0.897)和0.855 (95% CI: 0.767-0.942)。标定曲线接近对角线。筛选nomogram鉴别能力与PHQ-ADS相当(AUC: 0.826 vs. 0.831, P = 0.832)。结论:新的COPD患者GAD和MDD筛查工具简洁有效,与现有的焦虑/抑郁筛查问卷具有相当的歧视性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Lung
Lung 医学-呼吸系统
CiteScore
9.10
自引率
10.00%
发文量
95
审稿时长
6-12 weeks
期刊介绍: Lung publishes original articles, reviews and editorials on all aspects of the healthy and diseased lungs, of the airways, and of breathing. Epidemiological, clinical, pathophysiological, biochemical, and pharmacological studies fall within the scope of the journal. Case reports, short communications and technical notes can be accepted if they are of particular interest.
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