用心率变量来预测心力衰竭患者全因死亡的预测模型
Bruno Ferraz de Oliveira Gomes1,2, Paulo Roberto Benchimol-Barbosa3,4, Jurandir Nadal4
1Hospital Barra D'Or , Rio de Janeiro , RJ - Brasil.
Arquivos brasileiros de cardiologia
|December 21, 2023
概括
心率变化 (HRV) 可以预测心力衰竭 (HF) 患者的死亡. 简短的HRV测量,以及年龄和射出分数,是高射线患者全因死亡率的关键预测指标.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 预测分析是一种预测分析.
背景情况:
- 心力衰竭 (HF) 构成显著的死亡风险.
- 来自霍尔特监测的心率变化 (HRV) 分析显示了预测不良结果的潜力.
- 确定所有死因的可靠预测因素对于管理HF患者至关重要.
研究的目的:
- 开发心力衰竭 (HF) 患者全因死亡率的预测模型.
- 使用短期心率变化 (HRV) 度量作为预测指标.
- 评估HRV,年龄和左心室喷射率 (LVEF) 的综合预测能力.
主要方法:
- 对接受霍尔特监测的HF患者的回顾性分析.
- 评估短期HRV变量,特别是最短10分钟的录音.
- 多变量考克斯回归分析以确定所有死因的独立预测因素.
主要成果:
- 这项研究包括116名高风患者,在2.83年内死亡率为33.6%.
- 确定所有死因的独立预测因素是年龄>69岁,LVEF ≤57%,最低10分钟rMSSD ≤12ms.
- 结合这些因素的预测模型实现了0.802.80的AUC.
结论:
- 年龄,LVEF和短期rMSSD是住院HF患者长期全因死亡率的重要独立预测因素.
- 即使是短暂的同情度升高,反映在HRV,也会影响生存率.
- 这一发现对老年高频率患者和射出分数减少的患者尤为重要.
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