Cordero P J, Morales P, Benlloch E, Miravet L, Cebrian J
Servicio de Neumología, Hospital Universitario La Fe, Valencia,
Respiration. 1999;66(3):242-50. doi: 10.1159/000029385.
The aim of this study was to develop a set of prediction equations and 90% confidence intervals for static lung volumes using the multibreath helium equilibration method from a sample of asymptomatic Caucasian subjects of Spanish descent. Moreover, these equations were compared with those of previous studies.
Measurements of static lung volumes using techniques recommended by the American Thoracic Society and the European Community for Steel and Coal were carried out on a selected sample of 591 healthy nonsmoking volunteers (305 men and 286 women) aged 18-88 years, living in the metropolitan area of Valencia, on the east coast of Spain. Multiple regression analysis using height, age and weight as independent variables were used to provide predicted values for both sexes. These reference values were compared with other sets of prediction equations reported in the literature using an independent sample of 69 subjects (32 men and 37 women).
Simple linear regression equations using age, height and body weight predicted all the subdivisions of lung volumes (vital capacity, expiratory reserve volume (ERV), inspiratory capacity, functional residual capacity (FRC), residual volume (RV), total lung capacity (TLC), FRC/TLC and RV/TLC) as well as more complex equational models. The distribution of residuals fulfilled the assumptions of multiple regression analysis (independence, homoscedasticity and Gaussian distribution of residuals), except for ERV, using simple linear models. The derived equations did not differ significantly from most of the previously reported equations and were usually superior in their ability to predict the lung volumes.
The use of the present prediction equations is recommended in the Latin population of Spanish descent and in populations with similar Caucasian characteristics.
本研究旨在利用多呼吸氦气平衡法,为无症状的西班牙裔白种人样本建立一套静态肺容量的预测方程和90%置信区间。此外,还将这些方程与先前研究的方程进行了比较。
采用美国胸科学会和欧洲钢铁与煤炭共同体推荐的技术,对居住在西班牙东海岸巴伦西亚大都市区的591名年龄在18 - 88岁的健康非吸烟志愿者(305名男性和286名女性)进行了静态肺容量测量。以身高、年龄和体重作为自变量进行多元回归分析,得出男女的预测值。使用69名受试者(32名男性和37名女性)的独立样本,将这些参考值与文献中报道 的其他预测方程集进行比较。
使用年龄、身高和体重的简单线性回归方程预测了肺容量的所有细分指标(肺活量、呼气储备量(ERV)、吸气容量、功能残气量(FRC)、残气量(RV)、肺总量(TLC)、FRC/TLC和RV/TLC)以及更复杂的方程模型。除了使用简单线性模型的ERV外,残差分布符合多元回归分析的假设(残差的独立性、同方差性和高斯分布)。推导得出的方程与大多数先前报道的方程没有显著差异,并且在预测肺容量方面通常更具优势。
建议在西班牙裔拉丁人群和具有相似白种人特征的人群中使用本预测方程。