Prediction of Spirometric Indices Using Forced Oscillometric Indices in Patients with Asthma, COPD, and Interstitial Lung Disease

Content Provider	Scilit
Author	Miyoshi, Seigo Katayama, Hitoshi Matsubara, Minoru Kato, Takahide Hamaguchi, Naohiko Yamaguchi, Osamu
Copyright Year	2020
Description	Journal: International journal of chronic obstructive pulmonary disease Background and Objective: Spirometry is sometimes difficult to perform in elderly patients and patients with cognitive impairment. Forced oscillometry (FOT) is a simple, noninvasive technique used for measuring respiratory impedance. The aim of this study was to develop regression equations to estimate vital capacity (VC), forced vital capacity (FVC), and forced expiratory volume in 1 s $(FEV_{1.0}$) on the basis of FOT indices and to evaluate the accuracy of these equations in patients with asthma, chronic obstructive pulmonary disease (COPD), and interstitial lung disease (ILD). Materials and Methods: We retrospectively included data on 683 consecutive patients with asthma (388), COPD (128), or ILD (167) in this study. We generated regression equations for VC, FVC, and $FEV_{1.0}$ by multivariate linear regression analysis and used them to estimate the corresponding values. We determined whether the estimated data reflected spirometric indices. Results: Actual and estimated VC, FVC, and $FEV_{1.0}$ values showed significant correlations (all r > 0.8 and P < 0.001) in all groups. Biases between the actual data and estimated data for VC, FVC, and $FEV_{1.0}$ in the asthma group were − 0.073 L, − 0.069 L, and 0.017 L, respectively. The corresponding values were − 0.064 L, 0.027 L, and 0.069 L, respectively, in the COPD group and − 0.040 L, − 0.071 L, and − 0.002 L, respectively, in the ILD group. The estimated data in the present study did not completely correspond to the actual data. In addition, sensitivity for an $FEV_{1.0}$/FVC ratio of < 0.7 and the diagnostic accuracy for the classification of COPD grade using estimated data were low. Conclusion: These results suggest that our method is not highly accurate. Further studies are needed to generate more accurate regression equations for estimating spirometric indices based on FOT measurements.
Related Links	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335892/pdf https://www.dovepress.com/getfile.php?fileID=59332
Ending Page	1575
Page Count	11
Starting Page	1565
ISSN	11769106
e-ISSN	11782005
DOI	10.2147/copd.s250080
Journal	International journal of chronic obstructive pulmonary disease
Volume Number	ume 15
Language	English
Publisher	Informa UK Limited
Publisher Date	2020-07-01
Access Restriction	Open
Subject Keyword	Journal: International journal of chronic obstructive pulmonary disease Integrative and Complementary Medicine Forced Expiratory Volume in 1 Second Forced Oscillation Technique Forced Vital Capacity Vital Capacity
Content Type	Text
Subject	Pulmonary and Respiratory Medicine Public Health, Environmental and Occupational Health Health Policy