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相关实验视频

Updated: Jan 16, 2026

An R-Based Landscape Validation of a Competing Risk Model
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乳腺癌患者心脏毒性风险预测模型:多中心前性CHECK HEART-BC研究

Yosuke Terui1, Kotaro Nochioka1, Hideki Ota2

  • 1Department of Cardiovascular Medicine, Tohoku University Graduate School of Public Health, Tokyo, Japan.

JACC. Asia
|October 1, 2025
PubMed
概括

一个新的风险模型准确地预测乳腺癌患者的化疗诱导心脏毒性. 这种工具有助于早期检测和监测,改善接受癌症治疗的患者的心脏事件的结果.

关键词:
心脏瘤学心脏瘤学心肌病性心脏病 - 心肌病性心脏病化疗 化疗是一种化学疗法.预测模型是一个预测模型.

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科学领域:

  • 心脏病学 心脏病学
  • 在瘤学瘤学.
  • 医疗成像医学成像

背景情况:

  • 早期发现和治疗心脏毒性对于减少癌症患者心脏事件至关重要.
  • 目前缺乏一种可靠的化学疗法诱导的乳腺癌患者心脏毒性预测模型.

研究的目的:

  • 开发心脏毒性风险预测模型.
  • 在接受化疗的乳腺癌患者中建立有效的心脏毒性监测策略.

主要方法:

  • 在25个机构对559名化学疗法未经治疗的女性乳腺癌患者进行前性查.
  • 心脏毒性定义为左心室喷射分数从基线减少>10%至<53%.
  • 使用6个预测变量开发CHECK HEART得分.

主要成果:

  • 在平均366天的随访期间,在8.2%的患者中观察到心脏毒性.
  • 检查心脏得分包括心率,心脏成像参数和特定的化疗药物 (环素,特拉斯图祖马布).
  • 在12个月后,基于治疗前数据的CHECK HEART得分显示了可接受的预测准确性 (AUC:0.82).

结论:

  • 多变量风险预测模型准确预测接受化疗的乳腺癌患者的心脏毒性.
  • 开发的模型可以支持对心脏毒性的有效监测和管理.