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涉及肾交感神经活动、动脉血压和钠排泄的长期数学模型。

Long-term mathematical model involving renal sympathetic nerve activity, arterial pressure, and sodium excretion.

作者信息

Karaaslan Fatih, Denizhan Yagmur, Kayserilioglu Abidin, Gulcur H Ozcan

机构信息

Institute of Biomedical Engineering, Bogazici University, Turkey.

出版信息

Ann Biomed Eng. 2005 Nov;33(11):1607-30. doi: 10.1007/s10439-005-5976-4.

Abstract

This paper presents a physiological long-term model of the cardiovascular system. It integrates the previous models developed by Guyton, Uttamsingh and Coleman. Additionally it introduces mechanisms of direct effects of the renal sympathetic nerve activity (rsna) on tubular sodium reabsorption and renin secretion in accordance with experimental data from literature. The resulting mathematical model constitutes the first long-term model of the cardiovascular system accounting for the effects of rsna on kidney functions in such detail. The objective of developing such a model is to observe the consequences of long-term rsna increase and impairment of rsna inhibition under volume loading. This model provides an understanding of the rsna-related mechanisms, which cause mean arterial pressure increase in hypertension and total sodium amount increase (sodium retention) in congestive heart failure, nephrotic syndrome and cirrhosis.

摘要

本文提出了一种心血管系统的生理性长期模型。它整合了Guyton、Uttamsingh和Coleman之前开发的模型。此外,它根据文献中的实验数据,引入了肾交感神经活动(rsna)对肾小管钠重吸收和肾素分泌的直接影响机制。由此产生的数学模型构成了第一个详细考虑rsna对肾脏功能影响的心血管系统长期模型。开发这样一个模型的目的是观察长期rsna增加以及容量负荷下rsna抑制受损的后果。该模型有助于理解与rsna相关的机制,这些机制在高血压中导致平均动脉压升高,在充血性心力衰竭、肾病综合征和肝硬化中导致总钠量增加(钠潴留)。

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