Purpose

To show some preliminary results about the possibility to exploit a cardiovascular mathematical model—made patient-specific by noninvasive data routinely measured during ordinary clinical examinations—in order to obtain sufficiently accurate central blood pressure (BP) estimates.

Methods

A closed-loop multiscale (0D and 1D) model of the cardiovascular system is made patient-specific by using as model inputs the individual mean heart rate and left-ventricular contraction time, weight, height, age, sex and mean/pulse brachial BPs. The resulting framework is used to determine central systolic, diastolic, mean and pulse pressures, which are compared with the beat-averaged invasive pressures of 12 patients aged 72 ± 6.61 years.

Results

Errors in central systolic, diastolic, mean and pulse pressures by the model are 4.26 ± 2.81, 5.86 ± 4.38, 4.98 ± 3.95 and 3.51±2.38 mmHg, respectively.

Conclusion

The proposed modeling approach shows a good patient-specific response and appears to be potentially useful in clinical practice. However, this approach needs to be evaluated in a larger cohort of patients and could possibly be improved through more accurate oscillometric BP measurement methods.

中文翻译：

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测试特定于患者的 In-Silico 模型以无创估计中心血压

目的

展示关于利用心血管数学模型的可能性的一些初步结果——通过在普通临床检查期间常规测量的无创数据使患者特定化——以获得足够准确的中心血压 (BP) 估计值。

方法

通过使用个体平均心率和左心室收缩时间、体重、身高、年龄、性别和平均/脉搏肱动脉血压作为模型输入，使心血管系统的闭环多尺度（0D 和 1D）模型具有患者特异性. 由此产生的框架用于确定中心收缩压、舒张压、平均和脉压，并将其与 12 名 72 ± 6.61 岁患者的搏动平均有创压力进行比较。

结果

该模型的中心收缩压、舒张压、平均压和脉压误差分别为 4.26 ± 2.81、5.86 ± 4.38、4.98 ± 3.95 和 3.51±2.38 mmHg。

结论

提议的建模方法显示出良好的患者特异性反应，似乎在临床实践中可能有用。然而，这种方法需要在更大的患者队列中进行评估，并且可能通过更准确的示波血压测量方法进行改进。