Hu Zhiqiao, Zhang Hao, Wang Jiaqi, Xiong Huan, Liu Yunxiao, Zhu Yihao, Chang Zewen, Hu Hanqing, Tang Qingchao
Department of Colorectal Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, People's Republic of China.
Int J Gen Med. 2022 May 12;15:4881-4895. doi: 10.2147/IJGM.S350092. eCollection 2022.
To develop and validate the risk nomogram to predict the likelihood of postoperative anxiety and depression in colorectal cancer (CRC) patients.
A total of 602 CRC patients from the Second Affiliated Hospital of Harbin Medical University were included in the study and divided into development set and validation set with the 2:1 ratio randomly. Logistic regression model was used to determine independent factors contributing to postoperative anxiety and depression, which were subsequently applied to build the nomogram for predicting postoperative anxiety and depression. The performance of the risk nomogram was appraised by the area under the receiver operating curve (AUC), calibration curves and decision curve analyses (DCA).
Gender, personal status, income, adjuvant therapy, the Eastern Cooperative Oncology Group Scale (ECOG) score, comorbidity, postoperative complications and stoma status were significant indicators for postoperative anxiety and depression. The AUCs for the development and validation sets were 0.792 and 0.812 for the postoperative anxiety nomogram and 0.805 and 0.825 for the postoperative depression nomogram. Additionally, calibration curves and decision curve analyses also determined the reliable clinical importance of the proposed nomogram.
The current study constructed the risk nomogram for postoperative anxiety and depression and could help clinicians determine high-risk patients to some extent.
开发并验证风险列线图，以预测结直肠癌（CRC）患者术后焦虑和抑郁的可能性。
本研究纳入了哈尔滨医科大学附属第二医院的602例CRC患者，并随机按照2:1的比例分为开发集和验证集。采用逻辑回归模型确定导致术后焦虑和抑郁的独立因素，随后将这些因素应用于构建预测术后焦虑和抑郁的列线图。通过受试者工作特征曲线（AUC）下面积、校准曲线和决策曲线分析（DCA）对风险列线图的性能进行评估。
性别、个人状况、收入、辅助治疗、东部肿瘤协作组（ECOG）评分、合并症、术后并发症和造口状况是术后焦虑和抑郁的重要指标。术后焦虑列线图在开发集和验证集的AUC分别为0.792和0.812，术后抑郁列线图在开发集和验证集的AUC分别为0.805和0.825。此外，校准曲线和决策曲线分析也确定了所提出列线图可靠的临床重要性。
本研究构建了术后焦虑和抑郁的风险列线图，在一定程度上有助于临床医生确定高危患者。
