Online Prediction of Normal Blood Viscosity During Cardiopulmonary Bypass Using Hematocrit- and Temperature-Dependent Model
Online Prediction of Normal Blood Viscosity During Cardiopulmonary Bypass Using Hematocrit- and Temperature-Dependent Model
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DOI：
10.1109/access.2019.2963355
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发表时间：
2020-01-01
期刊：
影响因子：
3.9
通讯作者：
Tsuji, Toshio
中科院分区：
文献类型：
--
作者：
Okahara, Shigeyuki;Miyamoto, Satoshi;Tsuji, Toshio
本文提出了一种在线预测体外循环（CPB）期间基于血细胞比容和温度的正常血液粘度的数学模型。使用先前开发的连续血液粘度监测系统进行临床试验，并从 40 名接受轻度至中度低温体外循环的患者中收集基于连续压力和流量的瞬时粘度 (eta(e)) 数据。还获得了与(eta(e))相对应的血细胞比容和血液温度数据。研究发现，不同血细胞比容水平的血液粘度-温度曲线可以使用线性模型很好地拟合，线性模型的参数（斜率和交点）也与血细胞比容呈现线性关系。根据这些关系，我们能够预测基于血细胞比容和温度的正常粘度 (eta(e))。为了测试预测准确性，使用留一交叉验证程序将 (eta(0)) 与 (eta(e)) 进行比较。此外，对 20 名接受轻度低温 CPB 的患者的 eta(0) 和使用传统粘度计测定的离线测量粘度 (eta) 进行了比较。 eta(0)-eta(e)两种基于不同原理的在线血液粘度监测方法表现出良好的一致性(R-2 = 0.74且p < 0.0001)。该模型适用于体外循环期间基于血细胞比容和温度的正常血液粘度的在线预测。所提出的模型可以作为未来应用的核心，用于研究临床灌注管理期间血液粘度的影响，并促进详细的在线血液粘度研究。
This paper proposes a mathematical model for online prediction of the hematocrit- and temperature-based normal blood viscosity during cardiopulmonary bypass (CPB). Clinical trials were performed using a previously developed continuous blood viscosity monitoring system, and continuous pressure- and flow-based instantaneous viscosity (eta(e)) data were collected from 40 patients subjected to mild to moderate hypothermic CPB. The hematocrit and blood temperature data corresponding to (eta(e)) were also acquired. It was found that the blood viscosity-temperature curves for the different hematocrit levels can be well fitted using linear models, with the parameters of the linear model (slopes and intersects) also exhibiting linear relationships with the hematocrit. Based on these relationships, we were able to predict the hematocrit- and temperature-based normal viscosity (eta(e)). To test the prediction accuracy, (eta(0)) was compared with (eta(e)) using the leave-one-out cross-validation procedure. Furthermore, eta(0) and the offline-measured viscosity (eta), determined using a conventional viscometer, were compared for 20 patients subjected to mildly hypothermic CPB. eta(0)-eta(e) two online blood viscosity monitoring methods based on different principles-showed good agreement (R-2 = 0.74 and p < 0.0001). The proposed model is suitable for online prediction of the hematocrit- and temperature-based normal blood viscosity during CPB. The proposed model can function as the core of a future application for investigating the effects of blood viscosity during clinical perfusion management and facilitate detailed online blood viscosity studies.