ISSN 2096-7446　CN 10-1655/R
主管：中国科协技术协会
主办：中华护理学会
中华急危重症护理杂志

中华急危重症护理杂志 ›› 2023, Vol. 4 ›› Issue (12): 1142-1146.doi: 10.3761/j.issn.2096-7446.2023.12.016

• 综述 • 上一篇    

慢性阻塞性肺疾病患者30天再入院风险预测模型的研究进展

刘晓玲 赵华 鲁闻燕 章丹 张雪梦 黄晶   

  • 出版日期:2023-12-10 发布日期:2023-12-22

Research progress on risk prediction models for 30-day readmission of patients with chronic obstructive pulmonary disease

LIU Xiaoling，ZHAO Hua，LU Wenyan，ZHANG Dan，ZHANG Xuemeng，HUANG Jing   

  • Online:2023-12-10 Published:2023-12-22

摘要： 30d再入院指患者在出院后30 d内再次被收治入院，COPD患者高再入院率是一个重大公共卫生挑战。风险预测模型可快速筛选出再入院的高风险人群，为早期预防提供依据。该文综述了COPD患者30 d再入院风险预测模型的基本情况、构建方法及预测性能等内容，为临床医护人员预防COPD患者30 d再入院提供参考；然而，预测因子选取以及模型评价与应用方面还需进一步完善。

关键词: 肺疾病, 慢性阻塞性； 病人再入院； 模型, 统计学； 综述文献（主题）

Abstract: 30-day readmission refers to patients being readmitted to the hospital within 30 days after discharge. The high readmission rate among chronic obstructive pulmonary disease（COPD） patients poses a significant public health challenge. The risk prediction models can quickly screen out the high risk population of readmission and provide the basis for early prevention. This article reviews the basic characteristics，construction methods，and predictive performance of risk prediction models for COPD patients readmitted within 30 days，providing references for clinical healthcare professionals in preventing 30-day readmission among COPD patients. However，further improvements are needed in the selection of predictive factors and the evaluation and application of the models.

Key words: Pulmonary Disease, Chronic Obstructive； Patient Readmission； Forecasting Models, Statistical； Review Literature as Topic