矿业协会规则成年住院患者压力损伤风险因素之间的区别 基于先验算法
Mizhi Wu1, Xiaoxiao Zhang, Hongmei Yu
1Author Affiliations: Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang, China.
Computers, informatics, nursing : CIN
|July 10, 2025
概括
高龄,低白蛋白和呼吸/神经疾病是医院获得压力损伤 (PI) 的关键风险因素. 识别这些个人资料有助于针对住院患者制定有针对性的预防策略.
科学领域:
- 临床信息学 临床信息学
- 流行病学 流行病学
- 数据挖掘 数据挖掘
背景情况:
- 压力损伤 (PI) 在住院成年人群中构成了重大挑战,需要有效的预防和管理策略.
- 现有的流行病学数据突出了几种风险因素,但确定临床可行的模式需要先进的分析方法.
研究的目的:
- 从成人住院患者的压力损伤 (PI) 数据中调查临床意义上的关联规则.
- 为PI提供基于证据的预防和管理策略.
- 用关联规则挖矿来识别高风险患者的个人资料.
主要方法:
- 对来自中国江省两个三级医院区的2386例PI病例 (2018年1月至2023年10月) 的回顾性队列分析.
- 使用关联规则挖掘 (先验算法) 具有患者层面的人口/临床和PI特定特征.
- 通过千平方测试和多学科专家小组的Delphi共识验证的结果.
主要成果:
- 579个初步关联规则被生成,在验证后有540个统计学上显著的关联 (P < .05).
- 确定了11个临床可行的规则,突出了关键的风险因素组合.
- 确认的主要危险因素:晚年 (≥65岁),低albuminemia (<35 g/L) 和并发性呼吸/神经疾病.
结论:
- 协会规则挖掘是一种严格的方法,用于识别压力损伤的高风险患者个人资料.
- 这些发现支持有针对性的早期干预措施,以减少住院患者中的PI发病率.
- 该研究提供了可操作的见解,以加强PI预防和管理协议.
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