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Am. J. Respir. Crit. Care Med. · Feb 2024
Diagnostic Potential of Oscillometry: A Population-based Approach.
- Chiara Veneroni, Christoph Valach, WoutersEmiel F MEFMLudwig Boltzmann Institute for Lung Health, Vienna, Austria.Department of Respiratory Medicine, Maastricht University, Maastricht, the Netherlands.Department of Pulmonary and Critical Care Medicine, University of Vermont, Burlington, Ve, Alessandro Gobbi, Raffaele L Dellacà, Marie-Kathrin Breyer, Sylvia Hartl, Owat Sunanta, Charles G Irvin, Caspar Schiffers, Pasquale Pio Pompilio, and Robab Breyer-Kohansal.
- Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, Italy.
- Am. J. Respir. Crit. Care Med. 2024 Feb 15; 209 (4): 444453444-453.
AbstractRationale: Respiratory resistance (Rrs) and reactance (Xrs) as measured by oscillometry and their intrabreath changes have emerged as sensitive parameters for detecting early pathological impairments during tidal breathing. Objectives: This study evaluates the prevalence and association of abnormal oscillometry parameters with respiratory symptoms and respiratory diseases in a general adult population. Methods: A total of 7,560 subjects in the Austrian LEAD (Lung, hEart, sociAl, boDy) Study with oscillometry measurements (computed with the Resmon Pro FULL; Restech Srl) were included in this study. The presence of respiratory symptoms and doctor-diagnosed respiratory diseases was assessed using an interview-based questionnaire. Rrs and Xrs at 5 Hz, their inspiratory and expiratory components, the area above the Xrs curve, and the presence of tidal expiratory flow limitation were analyzed. Normality ranges for oscillometry parameters were defined. Measurements and Main Results: The overall prevalence of abnormal oscillometry parameters was 20%. The incidence of abnormal oscillometry increased in the presence of symptoms or diagnoses: 17% (16-18%) versus 27% (25-29%), P < 0.0001. All abnormal oscillometry parameters except Rrs at 5 Hz were significantly associated with respiratory symptoms/diseases. Significant associations were found, even in subjects with normal spirometry, with abnormal oscillometry incidence rates increasing by 6% (4-8%; P < 0.0001) in subjects with symptoms or diagnoses. Conclusions: Abnormal oscillometry parameters are present in one-fifth of this adult population and are significantly associated with respiratory symptoms and disease. Our findings underscore the potential of oscillometry as a tool for detecting and evaluating respiratory impairments, even in individuals with normal spirometry.
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