Construction and Validation of a Risk Warning Model of Depression in Patients with Pulmonary Nodule

IF 1.9 4区医学 Q2 NURSING

Perspectives in Psychiatric Care Pub Date : 2023-03-01 DOI:10.1155/2023/3449836

Jiaojiao Sun, Yunxu Zhou, Zhiqiang Wang

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引用次数: 0

Abstract

Background. To establish a depression risk warning model for patients with pulmonary nodules and to provide a theoretical basis for medical staff to identify high-risk patients early and quickly and take timely intervention measures. Methods. A total of 535 hospitalized patients with pulmonary nodules were selected, and the relevant data were analyzed by single-factor analysis. Binary logistic regression analysis was used to determine the independent risk factors for depression in patients with pulmonary nodules and to establish a risk warning model. The Hosmer−Lemeshow test and receiver operating characteristic (ROC) curve were used to evaluate the goodness of fit and prediction effect of the model, and the cross-validation method was used to verify the efficacy of the model. Results. The prevalence of depression in patients with pulmonary nodules was 47.29%. Univariate analysis showed that CRP, albumin, creatinine, phosphorus, calcium, triglyceride, cholesterol, low-density lipoprotein, high-density lipoprotein, β2-microglobulin, objective support, social support, and education level were related to depression in patients with pulmonary nodules P < 0.05 . Binary logistic regression analysis showed that serum CRP, calcium, social support, and education level were independent risk factors for depression in patients with pulmonary nodules. The area under the ROC curve/sensitivity/specificity of serum CRP, calcium, social support, and education level was 0.78/86.88%/80.65%, 0.79/84.40%/75.59%, 0.83/89.91%/80.22%, and 0.81/85.96%/79.19%, and the accuracy of cross-checked risk warning model was 84.97%. In the Hosmer−Lemeshow test, P = 0.926, area under the ROC curve was 0.98, sensitivity was 98.17%, and specificity was 93.55%. The accuracy of the cross-checked risk warning model was 84.97%, indicating that the prediction effect of the model was good. Conclusions. Serum CRP, calcium, social support, and education level are the independent risk factors of depression in patients with pulmonary nodules, and the risk warning model based on them has a good early warning effect on depression in patients with pulmonary nodules. The risk warning model established in this study has a good predictive effect on depression in patients with pulmonary nodules.

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肺结节患者抑郁风险预警模型的构建与验证

背景。建立肺结节患者抑郁风险预警模型，为医务人员及早、快速识别高危患者，及时采取干预措施提供理论依据。方法。选取住院肺结节患者535例，采用单因素分析对相关数据进行分析。采用二元logistic回归分析确定肺结节患者抑郁的独立危险因素，建立风险预警模型。采用Hosmer - Lemeshow检验和受试者工作特征(ROC)曲线评价模型的拟合优度和预测效果，并采用交叉验证法验证模型的有效性。结果。肺结节患者抑郁患病率为47.29%。单因素分析显示，CRP、白蛋白、肌酐、磷、钙、甘油三酯、胆固醇、低密度脂蛋白、高密度脂蛋白、β2-微球蛋白、客观支持、社会支持、文化程度与肺结节患者抑郁相关P < 0.05。二元logistic回归分析显示，血清CRP、钙、社会支持、文化程度是肺结节患者抑郁的独立危险因素。血清CRP、钙、社会支持、文化程度的ROC曲线下面积/敏感性/特异性分别为0.78/86.88%/80.65%、0.79/84.40%/75.59%、0.83/89.91%/80.22%、0.81/85.96%/79.19%，交叉核对风险预警模型准确率为84.97%。Hosmer−Lemeshow检验，P = 0.926, ROC曲线下面积为0.98，敏感性为98.17%，特异性为93.55%。交叉检验风险预警模型的准确率为84.97%，表明模型的预测效果较好。结论。血清CRP、钙、社会支持、文化程度是肺结节患者抑郁的独立危险因素，基于这些因素建立的风险预警模型对肺结节患者抑郁有较好的预警效果。本研究建立的风险预警模型对肺结节患者的抑郁有较好的预测作用。

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来源期刊

Perspectives in Psychiatric Care 医学-护理

CiteScore

5.00

自引率

4.30%

发文量

139

审稿时长

>12 weeks

期刊介绍： Perspectives in Psychiatric Care (PPC) is recognized and respected as THE journal for advanced practice psychiatric nurses. The journal provides advanced practice nurses with current research, clinical application, and knowledge about psychiatric nursing, prescriptive treatment, and education. It publishes peer-reviewed papers that reflect clinical practice issues, psychobiological information, and integrative perspectives that are evidence-based. Perspectives in Psychiatric Care includes regular columns on the biology of mental illness and pharmacology, the art of prescribing, integrative perspectives, and private practice issues.