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用于预测乳腺癌手术后化疗患者心理困扰风险的基于网络的列线图的开发、验证与可视化

Development, Validation, and Visualization of a Web-Based Nomogram to Predict the Risk of Psychological Distress in Patients Undergoing Chemotherapy After Breast Cancer Surgery.

作者信息

Shi Xixi, Zhao Yanyan, Wang Jing, Yi Yingying, Yang Yinhao, Yang Xueqin

机构信息

Author Affiliations: Institute of Cancer Clinical Prevention and Control, Medical Department of Jingchu University of Technology, Jingmen (Mss Shi, Yi, Yang and Dr Yang); WuHan DongHu University, Wuhan (Ms Zhao); and Center for Environment and Health in Water Source Area of South-to-North Water Diversion, Hubei University of Medicine, Shiyan (Dr Wang), Hubei, China.

出版信息

Cancer Nurs. 2024 Nov 18. doi: 10.1097/NCC.0000000000001415.

DOI:10.1097/NCC.0000000000001415
PMID:39773860
Abstract

BACKGROUND

Psychological distress of postoperative chemotherapy patients with breast cancer is significant and has a serious impact on their quality of survival. Risk prediction models can efficiently assess patients' psychological distress and risk factors.

OBJECTIVES

To investigate the factors influencing psychological distress in postoperative chemotherapy patients with breast cancer and construct a nomogram model to predict the occurrence of psychological distress in patients.

METHODS

Two hundred forty-seven women in treatment for breast cancer who were postoperative and receiving chemotherapy were recruited. Participants completed a distress management screening measure, a numerical rating scale, the Pittsburgh Sleep Quality Index, and demographic and clinical items.

RESULTS

Experiencing significant psychological distress was reported by 65.6% of participants. The psychological distress risk prediction model included 5 variables: financial problems, appearance/shape, distant metastases, the Numerical Rating Scale Pain score, and fatigue. A web calculator was designed based on the model (https://77nomogram.shinyapps.io/dynnomapp/).

CONCLUSIONS

This study found that financial and appearance/shape problems, distant metastases, pain scores, and fatigue were predictors of greater psychological distress in women undergoing chemotherapy after breast cancer surgery. The model constructed in this study has good predictive efficacy.

IMPLICATIONS FOR PRACTICE

This web-based nomogram model can help healthcare professionals quickly assess the likelihood of psychological distress in patients and screen for risk factors for psychological distress.

摘要

背景

乳腺癌术后化疗患者的心理困扰较为显著,对其生存质量有严重影响。风险预测模型能够有效评估患者的心理困扰及风险因素。

目的

探讨影响乳腺癌术后化疗患者心理困扰的因素,并构建列线图模型以预测患者心理困扰的发生情况。

方法

招募了247名接受乳腺癌术后化疗的女性患者。参与者完成了一份心理困扰管理筛查量表、数字评定量表、匹兹堡睡眠质量指数以及人口统计学和临床项目。

结果

65.6%的参与者报告有显著的心理困扰。心理困扰风险预测模型包括5个变量:经济问题、外貌/体型、远处转移、数字评定量表疼痛评分和疲劳。基于该模型设计了一个网络计算器(https://77nomogram.shinyapps.io/dynnomapp/)。

结论

本研究发现,经济和外貌/体型问题、远处转移、疼痛评分和疲劳是乳腺癌手术后接受化疗女性心理困扰加剧的预测因素。本研究构建的模型具有良好的预测效能。

对实践的启示

这个基于网络的列线图模型可以帮助医护人员快速评估患者心理困扰的可能性,并筛查心理困扰的风险因素。

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