概括焦虑的决定因素以及慢性阻塞性肺病患者预测模型的构建
Yi-Pu Zhao1, Wei-Hua Liu2, Qun-Cheng Zhang3
1Department of Respiratory and Critical Care Medicine, Henan Provincial Key Medicine Laboratory of Nursing, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou 450003, Henan Province, China.
World journal of psychiatry
|February 20, 2025
概括
这项研究开发了一种新模型,用于预测慢性阻塞性肺病 (COPD) 患者的泛性焦虑障碍 (GAD). 该模型确定了关键的风险因素,使COPD患者在GAD风险中能够进行早期干预.
科学领域:
- 肺部医学 肺部医学
- 精神病学是一个精神病学.
- 医疗信息学 医疗信息学
背景情况:
- 慢性阻塞性肺病 (COPD) 恶化与泛性焦虑症 (GAD) 有关,使患者的结果恶化.
- 目前COPD患者的GAD查依赖于主观方法,强调需要客观的预测工具.
- 在COPD人群中,对GAD风险的预测模型的研究有限.
研究的目的:
- 开发和验证一种可靠的COPD患者GAD风险预测模型.
- 帮助医疗保健专业人员主动预防GAD发病.
- 确定与COPD中GAD相关的关键人口,临床和心理因素.
主要方法:
- 对271名COPD患者的回顾性分析 (2021年7月至2024年2月).
- 使用后勤回归的预测模型的开发,与模型和验证组 (7:3比率).
- 通过Hosmer-Lemeshow适合性和ROC曲线分析进行性能评估.
主要成果:
- 在COPD患者中,GAD的患病率为24.72%.
- 确定的重大风险因素包括教育程度低,收入低,吸烟史,高吸烟指数,反复恶化,心血管并发症,疾病知识差,内向人格等.
- 预测模型表现出高准确度,AUC为0.978 (建模) 和0.960 (验证).
结论:
- 在COPD患者中成功开发了一种经过验证的八因素预测模型,用于GAD.
- 该模型使得能够早期识别高风险的个人GAD.
- 促进护理人员对有风险的COPD患者进行及时,有针对性的预防性干预.
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