开发和验证一个名谱模型,用于预测心力衰竭患者的高风险症状多轨迹
Qingyun Lv1, Yaqi Wang1, Xueying Xu1
1Tianjin Medical University, School of Nursing, Tianjin, Peoples R China.
European journal of cardiovascular nursing
|July 7, 2025
概括
近19%的心力衰竭 (HF) 患者在出院后六个月内表现出高风险症状轨迹,与再入院有关. 一个新的名图可以准确地预测这些轨迹,帮助早期干预.
科学领域:
- 心脏病学 心脏病学
- 临床医学 临床医学
- 健康 结果 研究 研究 结果
背景情况:
- 心力衰竭 (HF) 的管理需要了解出院后的症状轨迹.
- 早期识别高风险患者对于预防重新入院等不良事件至关重要.
研究的目的:
- 在医院出院后的前六个月内,确定高风险的症状轨迹.
- 开发和验证这些轨迹的预测名ogram模型.
主要方法:
- 在四家三级医院进行的前性研究,共259名高温肺炎患者.
- 在多个时间点对症状进行评估,最多在出院后六个月.
- 拉索回归用于识别名图的预测变量.
主要成果:
- 18.9%的HF患者表现出严重可变的症状轨迹,与未计划的再入院相关.
- 确定了关键预测因素:焦虑,抑郁,弹性和社会支持.
- 诺米图表显示出高预测准确度 (AUC 0.921) 和临床实用性.
结论:
- 显著比例的HF患者在出院后会发展出高风险的症状轨迹.
- 开发的诺米图有效预测这些轨迹,帮助临床决策.
- 该工具支持及时干预,以改善HF患者的治疗结果.
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