基于HRV的诺莫图,用于预测静止训练在患有血管综合症的儿童的治疗效果
Xiaojuan Du1, Ping Liu1, Dandan Xiang1
1Department of Pediatrics, Peking University First Hospital, Beijing 100034, China.
Children (Basel, Switzerland)
|January 8, 2025
概括
心率变化 (HRV) 参数可以预测静止训练在患有血管 (VVS) 的儿童中的成功. 使用年龄和rMSSD (连续差异的平方根平均值) 的模型显示出有希望的预测价值.
科学领域:
- 儿童心脏病学 儿童心脏病学
- 自主神经系统研究 自主神经系统研究
- 临床预测建模临床预测建模
背景情况:
- 血管 (VVS) 在儿童中很常见.
- 静止训练是对VVS的潜在治疗方法.
- 预测治疗疗效对于个性化护理至关重要.
研究的目的:
- 调查心率变化 (HRV) 参数是否可以预测儿科VVS患者静止训练的有效性.
- 开发治疗结果的预测模型.
主要方法:
- 进行了静止训练的VVS患者的回顾性招生.
- 利用拉索和后勤回归用于变量选择和模型构建.
- 使用校准图,ROC曲线和决策曲线分析 (DCA) 评估模型性能.
主要成果:
- 开发了一个结合年龄和rMSSD (连续差异的平方根平均值) 的预测模型.
- 该模型表现出良好的预测性能,训练和验证数据集的AUC分别为0.81和0.80.
- 校准图表显示了预测和实际概率之间的良好一致;DCA表明了显著的临床实用性.
结论:
- 结合年龄和rMSSD的视觉预测模型可以有效地预测儿科VVS患者的静止训练疗效.
- 该模型有助于识别可能受益于此干预的儿童.
- 年龄和rMSSD是定制VVS治疗的关键预测因素.
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