在零维心血管模型中进行患者特定尺寸和年龄缩放
August Lundquist1, Elira Maksuti2, Dirk W Donker3,4
1From the Anaesthesiology and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institute, Stockholm, Sweden.
概括
计算心血管模型可以根据患者人体测量法则进行个性化测量. 这种方法在教育和临床决策支持的模拟中增强了不同患者群体的现实性.
科学领域:
- 生理学
- 生物医学工程
- 计算生物学
背景情况:
- 患者特定的计算心血管模型对于临床应用至关重要.
- 各个人的生理变化需要个性化建模方法.
- 随着人体大小的变化,生理特征的变化也随着人体大小的变化而发生.
研究的目的:
- 推进心血管计算模型的个性化.
- 根据患者的年龄,体重,身高和性别, 实施测量法.
- 在不同的人群中测试心血管模型的现实性.
主要方法:
- 开发了Aplysia心血管实验室块式参数模型的缩放方法.
- 使用瑞典男性和女性从出生到成年人的生长图表.
- 模拟低体重,超重和平均寿命的个体 (出生至80岁).
主要成果:
- 为不同患者群体生成现实的生理数据.
- 模型输出包括血液动力学,心脏和呼吸功能,气体交换和能量消耗.
- 综合Z得分与婴儿,儿科和老年人模拟的已公布数据一致.
结论:
- 对于不同的个体来说,全度量法有效地产生了参数集.
- 这种方法可以对各种患者群体进行建模.
- 这种方法支持心血管建模的新型个性化临床应用.
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