生物医学和上下文因素的结构模型预测由于心力衰竭导致的住院死亡率
Juan Manuel García-Torrecillas1,2,3, María Carmen Lea-Pereira4, Enrique Alonso-Morillejo5
1Emergency and Research Unit, Torrecárdenas University Hospital, 04009 Almería, Spain.
Journal of personalized medicine
|June 28, 2023
概括
医院的大小和程序量显著影响心力衰竭 (HF) 患者的死亡风险,以及年龄和慢性阻塞性肺病 (COPD) 等个人因素. 了解这些上下文元素可以改善HF预后预测.
科学领域:
- 心脏病学 心脏病学
- 医疗保健服务研究 医疗服务研究
- 公共卫生 公共卫生
背景情况:
- 心力衰竭 (HF) 预后的确定的临床预测因素包括个人因素,如年龄,性别,贫血,功能不足和糖尿病.
- 诸如肺栓塞,高血压,慢性阻塞性肺病 (COPD),心律失常和脂质失调等介导因素也会影响HF的预后.
- 在预测HF患者住院死亡率方面,上下文和个体因素的作用仍未得到充分研究.
研究的目的:
- 建立心力衰竭患者住院死亡率的结构预测模型.
- 调查个人和环境 (医院/管理) 因素对HF死亡率的影响.
- 确定改善高频率患者死亡风险估计的关键变量.
主要方法:
- 利用了西班牙国家卫生系统的数据库,涵盖了529,606名受试者.
- 使用相关性分析 (SPSS 24.0) 和结构方程建模 (SEM) 分析 (AMOS 20.0) 来构建预测模型.
- 通过千平方,适合指数和根-平均-平方误差近似来评估统计学意义.
主要成果:
- 包括年龄,性别和慢性阻塞性肺病 (COPD) 在内的个人因素被确定为死亡风险的积极预测因素.
- 背景因素,特别是更大的医院规模 (病床数量) 和更多的手术数量,对死亡风险进行了负面预测.
- 开发的预测模型证明了适当的统计值和意义.
结论:
- 可以有效地结合上下文变量来解释心力衰竭患者的死亡模式.
- 医院规模和手术量是估计心力衰竭死亡风险的关键上下文因素.
- 这项研究强调了在HF预后中考虑医疗保健系统特征的重要性.
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