无症状的严重的退行性 mitrales 吐
Rikhard Björn1, Jordan B Strom2,3, Guy Lloyd4,5
1Heart Center, TYKS Turku University Hospital, Turku, Varsinais-Suomi, Finland.
Heart (British Cardiac Society)
|November 8, 2024
概括
退行性心肌膜疾病影响了许多人. 新的标记物和人工智能可以识别需要早期干预的高风险患者,改善了超出目前重度额头骨反指南的结果.
科学领域:
- 心脏病学 心脏病学
- 医疗技术 医疗技术 医学技术
- 人工智能在医学中的应用
背景情况:
- 退行性膜疾病 (DMVD) 很普遍,高达25%的严重吐患者无症状.
- 目前对无症状患者的干预指南侧重于心室大小和功能,但存在术后心力衰竭和死亡的风险.
- 现有的标准可能无法充分识别所有可能受益于早期干预的患者.
研究的目的:
- 探索新型风险标志物对退行性心肌膜疾病.
- 研究机器学习和人工智能在识别高风险患者表型方面的潜力.
- 为了告知临床实践,关于对严重的额头骨反的及时干预.
主要方法:
- 对较新的风险分层标志物的审查,包括心室应变,心肌纤维化 (晚期加多增强),心肌环状断层和心室失常负担.
- 讨论使用机器学习和人工智能整合这些标记.
- 考虑外科手术技术的进步,例如用于修复 mitra 的机器人手术.
主要成果:
- 像应变,纤维化和心律失常等较新的标志物有可能改善无症状严重心肌吐的风险分层.
- 机器学习和人工智能对识别复杂的高风险表型充满希望.
- 最好进行中枢门维修,但成功取决于操作员/中心的体积和门特性.
结论:
- 目前针对无症状重度 mitrale 吐的干预指导方针可能不足.
- 将先进的成像和电生理学标记与人工智能相结合,可以完善早期干预的患者选择.
- 为优化结果,建立对关膜修复的高体积卓越中心至关重要.
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