Pediatric pulmonology · 2021
Validation of the LEOSound® monitor for standardized detection of wheezing and cough in children.
СтатьяНазвание и аннотация: Перевод в очереди
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Urban Christof, Kiefer Alexander, Conradt Regina, Kabesch Michael, Lex Christiane, Zacharasiewicz Angela, Kerzel Sebastian
Аннотация
BACKGROUND: A hallmark of many respiratory conditions is the presence of nocturnal symptoms. Nevertheless, especially in children there is currently still a huge diagnostic gap in detecting nighttime symptoms, which leads to an underestimation of the frequency in clinical practise.
METHODS: We evaluated the clinical applicability and determined the formal test characteristics of the LEOSound ® system, a device for digital long-time recording and automated detection of acoustic airway events. Airway sounds were recorded overnight in 115 children and adolescents (1-17 years) with and without respiratory conditions. The automated classification for "cough" and "wheezing" was subsequently validated against the manual acoustic reassessment by an expert physician.
RESULTS: The general acceptance was good across all age groups and a technically successful recording was obtained in 98 children, corresponding to 92,976 sound epochs (à 30 s) or a total of 774 h of lung sounds. We found a sensitivity of 89% and a specificity of 99% for the automated detection of cough. For detection of wheezing, sensitivity and specificity were both 98%. The cough index and the wheeze index (events per hour) of individual patients showed a strong positive correlation (cough: rS = 0.85, wheeze: rS = 0.95) and a sufficient agreement of the two assessment methods in the Bland-Altman analysis.
CONCLUSION: Our data show that the LEOSound® is a suitable device for standardized detection of cough and wheezing and hence a promising diagnostic tool to detect nocturnal respiratory symptoms, especially in children. However, a validation process to reduce false positive classifications is essential in clinical routine use.
METHODS: We evaluated the clinical applicability and determined the formal test characteristics of the LEOSound ® system, a device for digital long-time recording and automated detection of acoustic airway events. Airway sounds were recorded overnight in 115 children and adolescents (1-17 years) with and without respiratory conditions. The automated classification for "cough" and "wheezing" was subsequently validated against the manual acoustic reassessment by an expert physician.
RESULTS: The general acceptance was good across all age groups and a technically successful recording was obtained in 98 children, corresponding to 92,976 sound epochs (à 30 s) or a total of 774 h of lung sounds. We found a sensitivity of 89% and a specificity of 99% for the automated detection of cough. For detection of wheezing, sensitivity and specificity were both 98%. The cough index and the wheeze index (events per hour) of individual patients showed a strong positive correlation (cough: rS = 0.85, wheeze: rS = 0.95) and a sufficient agreement of the two assessment methods in the Bland-Altman analysis.
CONCLUSION: Our data show that the LEOSound® is a suitable device for standardized detection of cough and wheezing and hence a promising diagnostic tool to detect nocturnal respiratory symptoms, especially in children. However, a validation process to reduce false positive classifications is essential in clinical routine use.