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中国东北地区健康儿童肺功能的回归分析预测方程。

Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China.

机构信息

Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning Province, PR China.

出版信息

PLoS One. 2013 May 7;8(5):e63875. doi: 10.1371/journal.pone.0063875. Print 2013.

Abstract

BACKGROUND

There have been few published studies on spirometric reference values for healthy children in China. We hypothesize that there would have been changes in lung function that would not have been precisely predicted by the existing spirometric reference equations. The objective of the study was to develop more accurate predictive equations for spirometric reference values for children aged 9 to 15 years in Northeast China.

METHODOLOGY/PRINCIPAL FINDINGS: Spirometric measurements were obtained from 3,922 children, including 1,974 boys and 1,948 girls, who were randomly selected from five cities of Liaoning province, Northeast China, using the ATS (American Thoracic Society) and ERS (European Respiratory Society) standards. The data was then randomly split into a training subset containing 2078 cases and a validation subset containing 1844 cases. Predictive equations used multiple linear regression techniques with three predictor variables: height, age and weight. Model goodness of fit was examined using the coefficient of determination or the R(2) and adjusted R(2). The predicted values were compared with those obtained from the existing spirometric reference equations. The results showed the prediction equations using linear regression analysis performed well for most spirometric parameters. Paired t-tests were used to compare the predicted values obtained from the developed and existing spirometric reference equations based on the validation subset. The t-test for males was not statistically significant (p>0.01). The predictive accuracy of the developed equations was higher than the existing equations and the predictive ability of the model was also validated.

CONCLUSION/SIGNIFICANCE: We developed prediction equations using linear regression analysis of spirometric parameters for children aged 9-15 years in Northeast China. These equations represent the first attempt at predicting lung function for Chinese children following the ATS/ERS Task Force 2005 guidelines on spirometry standardization.

摘要

背景

中国鲜有关于健康儿童的肺功能参考值的研究。我们假设,肺功能会发生变化,而现有的肺功能参考方程无法准确预测这些变化。本研究的目的是为中国东北地区 9 至 15 岁儿童制定更准确的肺功能预测方程。

方法/主要发现:采用美国胸科学会(ATS)和欧洲呼吸学会(ERS)标准,从中国东北地区五个城市随机抽取 3922 名 9 至 15 岁儿童(男 1974 名,女 1948 名)进行肺功能测量。然后,将数据随机分为训练子集(包含 2078 例)和验证子集(包含 1844 例)。预测方程采用多元线性回归技术,使用三个预测变量:身高、年龄和体重。通过决定系数或 R2 和调整后的 R2 来检验模型拟合优度。将预测值与现有的肺功能参考方程获得的值进行比较。结果表明,使用线性回归分析的预测方程对大多数肺功能参数的预测效果较好。采用配对 t 检验比较基于验证子集的开发和现有的肺功能参考方程获得的预测值。男性的 t 检验无统计学意义(p>0.01)。开发的方程的预测准确性高于现有的方程,模型的预测能力也得到了验证。

结论/意义:我们使用线性回归分析方法为中国东北地区 9 至 15 岁儿童的肺功能参数制定了预测方程。这些方程是根据 ATS/ERS 2005 年肺功能标准化工作组的指南,首次尝试预测中国儿童的肺功能。

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本文引用的文献

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Chronic effects of ambient air pollution on lung function among Chinese children.大气污染对中国儿童肺功能的慢性影响。
Arch Dis Child. 2013 Feb;98(2):128-35. doi: 10.1136/archdischild-2011-301541. Epub 2012 Dec 12.
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Spirometric reference values for an East-African population.东非人群的肺功能参考值。
Respiration. 2013;85(4):297-304. doi: 10.1159/000337256. Epub 2012 May 11.
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Clinical applications of lung function tests: a revisit.肺功能测试的临床应用:再探讨。
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