在儿童癌症幸存者心脏功能障碍的基于生物标志物的诊断模型
Jan M Leerink1,2, Elizabeth A M Feijen2, Esmee C de Baat2
1Amsterdam UMC, University of Amsterdam, Heart Center, Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands.
JACC. CardioOncology
|May 22, 2024
概括
结合心脏生物标志物和临床数据的新模型可以帮助排除儿童癌症幸存者的左心室功能障碍. 这可能会减少这些患者终身心声监测的需要.
科学领域:
- 心脏病学 心脏病学
- 在瘤学瘤学.
- 生物标志物研究 生物标志物研究
背景情况:
- 儿童癌症幸存者需要终身心脏监测,因为心力衰竭的风险.
- 以前的生物标志物NT-proBNP和hs-cTnT对左心室 (LV) 功能障碍的准确性有限.
- 将生物标志物与临床数据结合起来,可以提高LV功能障碍的诊断准确性.
研究的目的:
- 在儿童癌症幸存者中开发和验证LV功能障碍的诊断模型.
- 该模型将心脏生物标志物 (NT-proBNP,hs-cTnT) 与临床特征相结合.
- 在这个高风险人群中有效排除或排除LV功能障碍.
主要方法:
- 一项多中心的横截面研究包括1334名幸存者和278名兄弟姐妹.
- 后勤回归模型被开发和验证使用引导.
- 生物标志物 (NT-proBNP,hs-cTnT) 与临床数据相结合.
主要成果:
- 组合模型改善了LV功能障碍的预测 (LVEF<50%的C统计从0.69增加到0.73).
- 更严重的LV功能障碍预测也得到改善 (LVEF<45%的C统计从0.80到0.86).
- 该模型有效地排除了大量幸存者的LV功能障碍,具有高灵敏度和负预测值.
结论:
- 基于生物标志物的诊断模型可以有效排除儿童癌症幸存者的LV功能障碍.
- 这种方法可能会减少对广泛的心声回声监测的需要.
- 建议进行外部验证,以确认模型的实用性.
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