Guo Y F, Herrmann F, Michel J-P, Janssens J-P
Department of Rehabilitation and Geriatrics, Geneva University Hospital, Switzerland.
Eur Respir J. 2005 Oct;26(4):602-8. doi: 10.1183/09031936.05.00010405.
The aim of the present study was to determine reference values and predictive variables for respiratory impedance (Zrs) by the forced oscillation technique (FOT) in subjects aged>65 yrs. The investigation involved a prospective study of nonsmoking subjects, with normal forced expiratory volumes. The Zrs parameters, which included average resistance between 4-16 Hz (R4-16), average resistance between 4-30 Hz (RM), resonant frequency (FN), capacitance (C) and inertance (I), were measured along with forced expiratory manoeuvres. Every subject had each parameter measured in the same sequence using FOT and spirometry. A total of 223 subjects aged 83+/-8 yrs were included in the study. The mean values for forced expiratory volume in one second (FEV1) % predicted were 110+/-23. The forced vital capacity (FVC) % pred was 114+/-21 and the FEV1/FVC % pred was 112+/-11. The mean values for the Zrs parameters were: R4-16: 0.25+/-0.07 kPa.s-1.L-1; RM: 0.25+/-0.06 kPa.s-1.L-1; FN: 11.0+/-2.8 Hz; I: 1.17+/-0.26 Pa.L-1.s-2; and C: 20.5+/-9.0 mL.hPa-1. In multiple regression models adjusted for age, sex, height and weight, height was the most influential predictor for Zrs parameters based on the magnitude of the regression coefficient. In conclusion, it was found that height was the best predictor for respiratory impedance parameters. Contribution of age and weight was negligible. However, the level of predictability for respiratory impedance parameters by regression equations was low.
本研究的目的是确定采用强迫振荡技术(FOT)测定65岁以上受试者呼吸阻抗(Zrs)的参考值和预测变量。该调查涉及一项针对非吸烟受试者的前瞻性研究,这些受试者的用力呼气量正常。测量了Zrs参数,包括4 - 16 Hz之间的平均阻力(R4 - 16)、4 - 30 Hz之间的平均阻力(RM)、共振频率(FN)、电容(C)和惯性(I),同时进行用力呼气动作。每位受试者使用FOT和肺活量测定法按照相同顺序测量每个参数。共有223名年龄为83±8岁的受试者纳入研究。一秒用力呼气量(FEV1)预测值的平均值为110±23。用力肺活量(FVC)预测值百分比为114±21,FEV1/FVC预测值百分比为112±11。Zrs参数的平均值为:R4 - 16:0.25±0.07 kPa·s⁻¹·L⁻¹;RM:0.25±0.06 kPa·s⁻¹·L⁻¹;FN:11.0±2.8 Hz;I:1.17±0.26 Pa·L⁻¹·s⁻²;C:20.5±9.0 mL·hPa⁻¹。在根据年龄、性别、身高和体重进行调整的多元回归模型中,基于回归系数的大小,身高是Zrs参数最具影响力的预测因素。总之,发现身高是呼吸阻抗参数的最佳预测因素。年龄和体重的贡献可忽略不计。然而,回归方程对呼吸阻抗参数的预测水平较低。