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通过统计方法分析氮多次呼吸洗脱曲线。

Analysis of nitrogen multibreath washout curves through a statistical approach.

作者信息

Lamedica G, Brusasco V, Tiano A, Ramoino R

出版信息

Respiration. 1980;39(6):333-43. doi: 10.1159/000194239.

Abstract

A new method for analyzing nitrogen multibreath washout curves, founded on a statistical multicompartment model is presented. This method consists of two phases: (i) the preliminary conversion by mathematical means of the nitrogen end-tidal concentration curves - as usually available in routine practice - into the corresponding lung nitrogen decay curves normalized for ventilation rate and function al residual capacity and (ii) the determination of distribution function G(k) in the Laplace integral y(t) = integral of infinity,G(k)e-ktdk (where y(t) represents the experimental curve, k is the compartmental rate constant and the random variable of the statistical set). G(k) values are approximated by an accurate calculation of the distribution moments and the use of Edgeworth-Cramér series expansion. The clinical usefulness of the method was verified in normal subjects and in patients with chronic obstructive pulmonary disease. An excellent separation of the two groups was achieved by calculating the following parameters: the first moment (m1), the standard deviation (sigma) and the coefficient of dispersion (sigma/m). Besides, further information about the lung ventilation pattern could be obtained by a skillful inspection of the approximated distribution function curves of the rate constant k.

摘要

提出了一种基于统计多室模型分析氮多次呼吸洗脱曲线的新方法。该方法包括两个阶段:(i) 通过数学方法将通常在常规实践中获得的氮潮气末浓度曲线初步转换为针对通气率和功能残气量进行归一化的相应肺氮衰减曲线;(ii) 在拉普拉斯积分y(t)=∫∞,G(k)e - ktdk中确定分布函数G(k)(其中y(t)代表实验曲线,k是室速率常数且是统计集的随机变量)。G(k)值通过分布矩的精确计算和使用埃奇沃思 - 克拉默级数展开来近似。该方法在正常受试者和慢性阻塞性肺疾病患者中验证了临床实用性。通过计算以下参数实现了两组的良好分离:一阶矩(m1)、标准差(σ)和离散系数(σ/m)。此外,通过巧妙检查速率常数k的近似分布函数曲线,可以获得有关肺通气模式的更多信息。

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