Lung Function Assessment by Impulse Oscillometry in Adults [Corrigendum]

Porojan-Suppini, Noemi; Fira-Mlădinescu, Ovidiu; Marc, Monica; Tudorache, Emanuela; Oancea, Cristian

doi:10.2147/tcrm.s303690

Cited by 6 publications

(14 citation statements)

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“…Values of reactance parameters are affected by age and weight, increase of age and weight will determine a less negative reactance. Moreover, reactance is affected by the heterogeneous distribution of airway calibres and lung compliances [2,24]. These factors may lead to high variability and poor repeatability of reactance.…”

Section: Table 4 Multiple Regression Analyses To Determine Long-term ...mentioning

confidence: 99%

“…The principle is to measure the flow response of the respiratory tract to externally applied pressure signals. Hence, the respiratory impedance can be derived, which is expressed in its component resistance and reactance [2]. The resistance at 5 Hz (R5) represents the total airway resistance, the resistance at 20 Hz (R20) indicates the resistance of the large airways, (R5-R20) reflects resistance in the small airways, these three parameters are commonly used to evaluate airway resistance [3].…”

Section: Introductionmentioning

confidence: 99%

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Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma

Sun

Zhu

et al. 2022

Respir Res

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Background While optimizing spirometry is a challenge for lung function labs, long-term variability if any between IOS (impulse oscillometry) parameters and spirometry is not clearly known in stable COPD (chronic obstructive pulmonary disease) and chronic asthma. The forced oscillation technique is increasingly employed in routine lung function testing. Our aim in this study was to determine the variability in oscillometric parameters between clinic visits over weeks or months in two patient groups during a period of clinical stability. Moreover, the research assessed relationships between IOS parameters long-term variability and COPD severity. Methods We used data from 73 patients with stable COPD and 119 patients with stable asthma at the Shanghai Pulmonary Hospital Affiliated to Tongji University. Patients were included if they had three or more clinic visits where spirometry and IOS were performed during a clinically stable period. Data recorded from the first three visits were used. The standard deviation (SDbv), the coefficient of variation (COV), intraclass correlation coefficient (ICC) and the coefficient of repeatability (COR) were calculated, Wilcoxon Mann–Whitney test was used for data that did not conform to normality of distributions, Kruskal Wallis test was used to compare with multiple groups, post hoc comparison was analyzed by Bonferroni, Spearman correlation coefficients for non-parametric data, the multiple regression analyses to determine the relationship between long-term variability and airflow obstruction. Results (1) The repeatability of IOS resistance parameters with ICC values > 0.8 was high in COPD and asthma. ICC values of IOS resistance parameters were higher than IOS reactance parameters; (2) the repeatability of spirometry parameters with ICC values < 0.8 was lower than IOS resistance parameters in different GOLD (the Global Initiative for Chronic Obstructive Lung Disease) stages, the higher the stage the worse the repeatability; (3) the severity of airflow obstruction was correlated with long-term variability of R5 (R at 5 Hz) (P < 0.05) in GOLD4, not with long-term variability of R20 (R at 20 Hz) (P > 0.05) and R5-R20 (P > 0.05). Conclusion IOS resistance parameters have good long-term repeatability in asthma and COPD. Additionally, repeatability of spirometry parameters is lower than IOS resistance parameters in different GOLD stages.

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Section: Table 4 Multiple Regression Analyses To Determine Long-term ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma

Sun

Zhu

et al. 2022

Respir Res

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“…The IOS prediction equations should be separately provided for men and women (24). Moreover, the predictive values of IOS can be different depending on the types of device that is used (25). This may have an impact on the predictive values and normal ranges of IOS parameters.…”

Section: Original Articlementioning

confidence: 99%

Reference equations of the impulse oscillatory in healthy Thai adults

et al. 2022

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Background: The ethnicity is significantly under-reported and this may limit the applicability of current impulse oscillometry (IOS) equations to heterogeneous patient populations. Establishing predictive equations for the IOS in the Thai adult population is still required. Therefore, this study aimed to establish reference equations for the IOS in the Thai adult population.Methods: This retrospective cross-sectional study of IOS parameters in healthy adults aged greater than 20 years old with normal spirometry and who had no chronic respiratory diseases. Pre-bronchodilator (BD) IOS was performed in all subjects. Reference equations were calculated separately for men and women using multivariable linear regression analysis.Results: A total of 127 subjects (87 men and 40 women) with a mean age of 48.7±17.2 (range, 22-92) years were included. The resistance at 5 Hz (R5), resistance at 20 Hz (R20), and area under reactance curve between 5 Hz and resonant frequency (AX) were significantly higher in women compared to men.The reference equations of the IOS parameters were established for men and women. Age, height, and bodyweight were shown to be the influential predictor as they contributed to the most of IOS indices except for the R5-R20 in men equations. Bodyweight was shown to be the influential predictor as it contributed to the most IOS indices except for the X5 in women's equations. Conclusions:We provided the reference equations for the IOS indices in Thai adults. IOS indices including R5, R20, and AX were significantly higher in women compared to men.

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“…complements spirometry and other standard pulmonary function tests (64,71,81,82,108,109). It is suggested that oscillometry can help distinguish between different types of respiratory disease and improve diagnostic quality (71).…”

Section: Clinical Applications Of Oscillometrymentioning

confidence: 99%

“…Currently, there are a variety of commercially available devices approved for clinical use, many of which have been improved with upgraded hardware, modified oscillatory signals, and/or new data processing techniques (69,110,111). Oscillatory systems designed specifically to address important clinical applications in particularly challenging settings, such as testing of newborn infants or mechanically ventilated patients in the critical care unit, are currently in development (69,108,110,111).…”

Section: Clinical Applications Of Oscillometrymentioning

confidence: 99%

Oscillometry to Assess Respiratory Function in Adult Cystic Fibrosis

Rad

Landry

Dong

et al. 2020

B30. Arthur Dubois Memorial Session: The Small and Large of Airway and Lung Function

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Oscillometry to Assess Respiratory Function in Adult Cystic FibrosisBackground and Rationale: Cystic fibrosis (CF) is a life-limiting multi-system disorder in which respiratory dysfunction predominates. Although spirometry is the most commonly used test of pulmonary function, it has recognized limitations. Oscillometry is an alternative test of respiratory function which provides complementary information. Oscillometry also offers a number of practical and physiological advantages and is increasingly used in both clinical research and patient care. Surprisingly, little data exists using oscillometry to evaluate lung function in adults with CF.Accordingly, the aim of this study was to compare spirometry and oscillometry in a large adult CF cohort. Methods: Spirometry and oscillometry (tremoFlo® C-100, Thorasys Thoracic Medical Systems Inc., Montreal, Canada) were performed according to published guidelines during a routine visit to the Montreal Chest Institute Adult CF Clinic, McGill University Health Centre in 92 adults with established CF in stable state (mean age = 33.0 ± SE 1.3 yrs, 51 men). Oscillometry parameters included respiratory resistance at 5 Hz (R5), the difference in respiratory resistance at 5 and 20 Hz (R5-20), respiratory reactance at 5 Hz (X5), respiratory reactance area (AX), and resonant frequency (Fres).Results: Respiratory function was significantly reduced for the group (forced expiratory volume in one second, FEV1 = 2.27 ± SE 0.1 L; Z score = -3.38 ± SE 0.23). There was generally a good to strong correlation between spirometry and oscillometry parameters, particularly between FEV1 and both X5 and AX, and all relationships were highly significant (P < 0.001). Results were generally similar when expressed as absolute values or Z scores. Logistic regression and marginal

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Lung Function Assessment by Impulse Oscillometry in Adults [Corrigendum]

Cited by 6 publications

References 0 publications

Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma

Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma

Reference equations of the impulse oscillatory in healthy Thai adults

Oscillometry to Assess Respiratory Function in Adult Cystic Fibrosis

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