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成人肺活量参考方程的基于生理学的模型。

A physiologically based model for spirometric reference equations in adults.

作者信息

Brisman Jonas, Kim Jeong-Lim, Olin Anna-Carin, Torén Kjell, Bake Björn

机构信息

Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.

Occupational Medicine, Respiratory Diseases and Toxicology, University of Perugia, Perugia, Italy.

出版信息

Clin Physiol Funct Imaging. 2016 Jan;36(1):77-84. doi: 10.1111/cpf.12198. Epub 2014 Oct 15.

Abstract

A spirometric reference equation consists of a mathematical model with constants and coefficients optimized to fit a specific data set from healthy individuals. Commonly applied models are selected on statistical rather than physiological considerations. A predetermined model with constants and coefficients optimized to various populations would enable interpretable and interesting comparisons between populations. Lubiński and Gólczewski recently presented a piecewise linear model with constants and coefficients claimed to be physiologically interpretable (Lubiński model). Three questions were addressed: Is the Lubiński model as useful clinically as other models: multiple linear, piecewise polynomial and exponential with splines? Will reference equations based on the Lubiński model and optimized to a Swedish and to a Polish population allow for interpretable comparisons? Are three well-known reference equations clinically useful in the Swedish adult population? A recent Swedish random population sample with high-quality spirometric measurements enabled the present analyses. When optimized to fit the Swedish population sample, the Lubiński model and two other models provided accurate predictive normal values. Interesting differences were demonstrated between the Polish and Swedish populations. The proportion of subjects below lower limit normal was adequate for the piecewise polynomial equations but too low and not clinically useful for the advocated exponential equations with splines. It is concluded that the Lubiński model is clinically as useful as other models, and it adds important value and is recommended for future spirometric reference equations for adults. The advocated exponential equations with splines are not recommended for Swedish adults because of too wide normal limits.

摘要

肺量计参考方程是一个数学模型,其常数和系数经过优化,以拟合来自健康个体的特定数据集。常用模型的选择基于统计学而非生理学考虑。一个具有针对不同人群进行优化的常数和系数的预定模型,将能够在不同人群之间进行可解释且有意义的比较。卢宾斯基和戈尔采夫斯基最近提出了一个分段线性模型,其常数和系数据称具有生理学可解释性(卢宾斯基模型)。本文探讨了三个问题:卢宾斯基模型在临床上是否与其他模型(多元线性、分段多项式和样条指数模型)一样有用?基于卢宾斯基模型并针对瑞典和波兰人群进行优化的参考方程是否允许进行可解释的比较?三个著名的参考方程在瑞典成年人群中是否具有临床实用性?最近一个具有高质量肺量计测量数据的瑞典随机人群样本使得本分析成为可能。当针对瑞典人群样本进行优化时,卢宾斯基模型和其他两个模型提供了准确的预测正常值。波兰和瑞典人群之间显示出有趣的差异。低于正常下限的受试者比例对于分段多项式方程来说是合适的,但对于所倡导的样条指数方程来说过低且在临床上无用。结论是,卢宾斯基模型在临床上与其他模型一样有用,它增加了重要价值,建议用于未来成年人的肺量计参考方程。由于正常范围过宽,不建议瑞典成年人使用所倡导的样条指数方程。

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