预测和预防心力衰竭和住院治疗的可穿戴技术:系统性审查
Francesca Noci1, Angelo Capodici1,2, Sabina Nuti1
1Health Science Interdisciplinary Center, Sant'Anna School of Advanced Studies Pisa 56127, Italy.
European heart journal. Digital health
|September 23, 2025
概括
可穿戴设备可以提前几天预测心力衰竭住院情况. 这项系统性审查发现,使用可穿戴技术用于心力衰竭管理时,住院病例显著减少.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
背景情况:
- 心力衰竭 (HF) 是一个全球性的健康问题,经常住院导致严重的发病率和医疗费用.
- 对HF患者进行传统的间歇性临床评估可能会延迟检测病情恶化.
- 可穿戴技术为更早的高频检测和干预提供持续的实时监控.
研究的目的:
- 系统地审查非侵入性可穿戴设备对心力衰竭患者住院率的影响.
- 评估可穿戴设备对心力衰竭相关住院治疗的预测能力.
主要方法:
- 在PubMed和Scopus中按照PRISMA指南进行了系统的文献搜索.
- 分析了8项涉及1823名患者的研究,其中使用了ReDS和VitalPatch等设备.
- 使用ROBINS-I和ROB-2工具评估了偏差风险;因异质性而排除了元分析.
主要成果:
- 可穿戴设备可以提前6.5至32天预测心力衰竭住院.
- 穿戴式指导疗法显示出住院率的相对显著降低 (在RCT中高达89%在30天内,在观察性研究中高达78-87%).
结论:
- 非侵入性可穿戴设备显示出改善心力衰竭管理和减少住院治疗的巨大潜力.
- 需要进一步的研究来验证可穿戴指导治疗算法,评估成本效益,并确保大规模试验中的数据安全.
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