Ilic Irena, Babic Goran, Dimitrijevic Aleksandra, Sipetic Grujicic Sandra, Ilic Milena
Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.
Department of Gynecology and Obstetrics, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.
Life (Basel). 2024 Sep 7;14(9):1130. doi: 10.3390/life14091130.
(1) Background: Cervical screening and additional diagnostic procedures often lead to depression. This research aimed to develop a prediction model for depression in women who received an abnormal Papanicolaou screening test, prior to and following the diagnostic procedures. (2) Methods: The study included women who had a positive Papanicolaou screening test (N = 172) and attended the Clinical Center of Kragujevac in Serbia for additional diagnostic procedures (colposcopy/biopsy/endocervical curettage). Women filled out a sociodemographic survey and the Center for Epidemiologic Studies Depression questionnaire (CES-D scale) before and after diagnostic procedures. A prediction model was built with multilayer perceptron neural networks. (3) Results: A correlation-based filter method of feature selection indicated four variables that correlated with depression both prior to and following the diagnostic procedures-anxiety, depression, worry, and concern about health consequences. In addition, the use of sedatives and a history of both induced and spontaneous abortion correlated with pre-diagnostic depression. Important attributes for predicting post-diagnostic depression were scores for the domains 'Tension/discomfort' and 'Embarrassment' and depression in personal medical history. The accuracy of the pre-diagnostic procedures model was 70.6%, and the area under the receiver operating characteristic curve (AUROC) was 0.668. The model for post-diagnostic depression prediction showed an accuracy of 70.6%, and an AUROC = 0.836. (4) Conclusions: This study helps provide means to predict the occurrence of depression in women with an abnormal Papanicolaou screening result prior to and following diagnostic procedures, which can aid healthcare professionals in successfully providing timely psychological support to those women who are referred to further diagnostics.
(1) 背景：宫颈筛查及其他诊断程序常常会导致抑郁。本研究旨在建立一个预测模型，用于预测接受巴氏涂片筛查结果异常的女性在诊断程序前后发生抑郁的情况。(2) 方法：该研究纳入了巴氏涂片筛查结果呈阳性的女性（N = 172），她们前往塞尔维亚克拉古耶瓦茨临床中心接受进一步诊断程序（阴道镜检查/活检/宫颈管搔刮术）。女性在诊断程序前后填写了一份社会人口学调查问卷以及流行病学研究中心抑郁问卷（CES - D量表）。使用多层感知器神经网络建立了一个预测模型。(3) 结果：基于相关性的特征选择过滤方法表明，有四个变量在诊断程序前后均与抑郁相关，即焦虑、抑郁、担忧以及对健康后果的关注。此外，使用镇静剂以及人工流产和自然流产史与诊断前的抑郁相关。预测诊断后抑郁的重要属性包括“紧张/不适”和“尴尬”领域的得分以及个人病史中的抑郁情况。诊断前程序模型的准确率为70.6%，受试者工作特征曲线下面积（AUROC）为0.668。诊断后抑郁预测模型的准确率为70.6%，AUROC = 0.836。(4) 结论：本研究有助于提供方法来预测巴氏涂片筛查结果异常的女性在诊断程序前后抑郁的发生情况，这可以帮助医护人员成功地为那些被转诊进行进一步诊断的女性及时提供心理支持。
