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一种用于高频通气中左心房压力的新型非侵入性预测指标及其实际意义:理论

A Novel Non-invasive Predictor Measure of Left Atrial Pressure and Practical Implicates in High Frequency Ventilation: Theory.

作者信息

Salem Gamal, Salem Karim G

机构信息

Pulmonology, Ain Shams University, Cairo, EGY.

Research, Microsoft Engineering, Seattle, USA.

出版信息

Cureus. 2024 Jul 6;16(7):e63998. doi: 10.7759/cureus.63998. eCollection 2024 Jul.

Abstract

A new prototype of ventilator mode, based on high-frequency ventilation (HFV), aims to address the interrelations among diverse respiratory variables, several intercardiovascular parameters rapports, and instantaneously the intrarespiratory and cardiac interactions. This article proposes a logarithmic network of integrated correlation ratio H/V, R , that primarily relates both dependent respiratory (V) and independent hemodynamic variables (H). Given a constant steady state of the heart and vasculature, a difference between calculated ratio (R calc), and optimized ratio (R opt) could be utilized to adjust many aspects of several parameters and outcomes in critically ill patients. The central venous pressure (CVP) wave analysis aims to approach several cardiovascular parameters, endpoints of left atrial (LA) pressure, and the cardiac output (CO) with the help of thermodilution curve analysis. This might result in several innovative formulas of mathematical base. Their relevant clinical implicates demonstrated a wide area of normalized distribution capacity (Cd), systemic vascular capacity (Cs), pulmonary vascular capacitance (Cp), pulmonary vascular resistance (PVR), and mean pulmonary artery pressure (MPAP). The authors claim that prepared software programming helps network integration of all these variables, feeding back and addressing the prototype of novel mode for the old new application of HFV. One potential unique criterion is adjusting LA and ultimately CO through a feedback control mechanism. Though this all sounds very plausible, the reader must be reminded that everything in this work is based on the most expected speculations and experience and could be potentially different than that in vivo. More importantly, animal experimental studies are warranted.

摘要

一种基于高频通气(HFV)的新型呼吸机模式原型,旨在解决多种呼吸变量、多个心血管参数关系以及瞬间的呼吸与心脏相互作用之间的相互关系。本文提出了一个综合相关比H/V的对数网络R,它主要关联了依赖的呼吸变量(V)和独立的血流动力学变量(H)。在心脏和血管系统处于恒定稳态的情况下,计算比值(R calc)与优化比值(R opt)之间的差异可用于调整危重症患者多个参数和结局的许多方面。中心静脉压(CVP)波形分析旨在借助热稀释曲线分析来评估多个心血管参数、左心房(LA)压力终点和心输出量(CO)。这可能会产生几个基于数学的创新公式。它们相关的临床意义显示出归一化分布容量(Cd)、体循环血管容量(Cs)、肺血管容量(Cp)、肺血管阻力(PVR)和平均肺动脉压(MPAP)的广泛分布范围。作者声称,编写的软件程序有助于所有这些变量的网络整合,反馈并解决HFV旧有新应用的新模式原型。一个潜在的独特标准是通过反馈控制机制调整左心房并最终调整心输出量。尽管这一切听起来非常合理,但必须提醒读者,这项工作中的所有内容都是基于最预期的推测和经验,可能与体内情况有所不同。更重要的是,有必要进行动物实验研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/173e/11302988/ad5171620335/cureus-0016-00000063998-i01.jpg

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