Characteristics of inspiratory and expiratory reactance in interstitial lung disease

Sugiyama, Aya; Hattori, Noboru; Haruta, Yoshinori; Nakamura, Izumi; Nakagawa, Misa; Miyamoto, Shintaro; Onari, Yojiro; Iwamoto, Hiroshi; Ishikawa, Nobuhisa; Fujitaka, Kazunori; Murai, Hiroshi; Kohno, Nobuoki

doi:10.1016/j.rmed.2013.03.005

Cited by 73 publications

(77 citation statements)

References 19 publications

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“…A previous study using IOS showed the association between the presence of ILD and ΔX5 in a multiple linear regression analysis, and a significant negative correlation between ΔX5 and VC or diffusing capacity (51). In our study using MostGraph, however, inspiratory Fres best correlated with the FVC, FEV1, diffusing capacity, and fibrosis score, but ΔX5 showed no correlation (52).…”

Section: Interstitial Lung Disease (Ild)contrasting

confidence: 71%

Clinical Application of the Forced Oscillation Technique

Shirai

Kurosawa

2016

Intern. Med.

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The forced oscillation technique (FOT) is a noninvasive method with which to measure respiratory system resistance and reactance during tidal breathing. Recently, its clinical application has spread worldwide with the expansion of commercially available broadband frequency FOT devices, including MostGraph and Impulse Oscillometry. An increasing number of reports have supported the usefulness of the FOT in the management of asthma and chronic obstructive pulmonary disease (COPD). However, the FOT is not a surrogate test for spirometry, but should be used complementarily. Furthermore, reference values are not necessarily available and the interpretation of some measured data is controversial. There is a need to update the international statement for not only technical aspects but also the clinical use of the FOT. In this review, we summarize the previously published studies and discuss how to use the FOT in a clinical setting.

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Section: Interstitial Lung Disease (Ild)contrasting

confidence: 71%

Clinical Application of the Forced Oscillation Technique

Shirai

Kurosawa

2016

Intern. Med.

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“…Previous reports have shown significant correlations between spirometric indices and FOT measurements in patients with asthma,12 COPD,13 and ILD 11,14. However, the correlation coefficients were relatively low, and each report included only a small number of patients.…”

Section: Introductionmentioning

confidence: 94%

Use of the forced-oscillation technique to estimate spirometry values

Yamamoto¹,

Miyoshi²,

Katayama³

et al. 2017

COPD

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PurposeSpirometry is sometimes difficult to perform in elderly patients and in those with severe respiratory distress. The forced-oscillation technique (FOT) is a simple and noninvasive method of measuring respiratory impedance. The aim of this study was to determine if FOT data reflect spirometric indices.Patients and methodsPatients underwent both FOT and spirometry procedures prior to inclusion in development (n=1,089) and validation (n=552) studies. Multivariate linear regression analysis was performed to identify FOT parameters predictive of vital capacity (VC), forced VC (FVC), and forced expiratory volume in 1 second (FEV1). A regression equation was used to calculate estimated VC, FVC, and FEV1. We then determined whether the estimated data reflected spirometric indices. Agreement between actual and estimated spirometry data was assessed by Bland–Altman analysis.ResultsSignificant correlations were observed between actual and estimated VC, FVC, and FEV1 values (all r>0.8 and P<0.001). These results were deemed robust by a separate validation study (all r>0.8 and P<0.001). Bias between the actual data and estimated data for VC, FVC, and FEV1 in the development study was 0.007 L (95% limits of agreement [LOA] 0.907 and −0.893 L), −0.064 L (95% LOA 0.843 and −0.971 L), and −0.039 L (95% LOA 0.735 and −0.814 L), respectively. On the other hand, bias between the actual data and estimated data for VC, FVC, and FEV1 in the validation study was −0.201 L (95% LOA 0.62 and −1.022 L), −0.262 L (95% LOA 0.582 and −1.106 L), and −0.174 L (95% LOA 0.576 and −0.923 L), respectively, suggesting that the estimated data in the validation study did not have high accuracy.ConclusionFurther studies are needed to generate more accurate regression equations for spirometric indices based on FOT measurements.

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“…Seventeen studies in healthy children (33-49) and eleven in healthy adults (30; 50-59) were identified and presented in Figure 2A and B (children) and Table 2 (adults). Due to limited data, IOS parameter values other than R5 and X5 were not available at this time.…”

Section: Population Based Reference Valuesmentioning

confidence: 99%

“…Table 2 includes mean ± standard deviation (SD) of R5 and X5 values obtained from healthy adults with diverse geographical and ethnic backgrounds. Some R5 and X5 values in Table 2 were estimated using a regression equation (30; 50, 59) at a given height and age. For adults, both R5 and X5 values were similar regardless of demographic or geographical differences.…”

Section: Population Based Reference Valuesmentioning

confidence: 99%