OBJECTIVE AND BACKGROUND: Objective monitoring of cough may be preferred to subjective reporting of the symptom in clinical and research settings. Therefore, a self-contained, ambulatory cough monitoring system is needed that is non-invasive, usable for children and adults of all ages, inexpensive, and highly accurate with easy to use analysis software. METHODOLOGY: After development of a new device, 15 subjects with frequent coughing were recorded with the novel cough monitor and a simultaneous video recording in order to validate the monitor compared with a gold standard. Two investigators independently analyzed the recordings and counted the number of coughs during the study period from both the cough monitor and the video recording. RESULTS: When measuring agreement between the two investigators, the sample concordance correlation coefficient for audio counts was 0.998 (p < 0.001). In the comparison of video counts, the sample concordance correlation coefficient was 0.997 (p < 0.001). For the comparison of investigator 1's video counts to the corresponding audio counts, the sample concordance correlation coefficient was 0.968 (p = 0.026). For the comparison of investigator 2's video counts to the corresponding counts, the sample concordance correlation coefficient was 0.973 (p = 0.015). CONCLUSION: We have developed and piloted a new, valid, and reproducible method of objectively recording and analyzing cough. This device appears to be useful for subjects of any age and in clinical and research settings.
OBJECTIVE AND BACKGROUND: Objective monitoring of cough may be preferred to subjective reporting of the symptom in clinical and research settings. Therefore, a self-contained, ambulatory cough monitoring system is needed that is non-invasive, usable for children and adults of all ages, inexpensive, and highly accurate with easy to use analysis software. METHODOLOGY: After development of a new device, 15 subjects with frequent coughing were recorded with the novel cough monitor and a simultaneous video recording in order to validate the monitor compared with a gold standard. Two investigators independently analyzed the recordings and counted the number of coughs during the study period from both the cough monitor and the video recording. RESULTS: When measuring agreement between the two investigators, the sample concordance correlation coefficient for audio counts was 0.998 (p < 0.001). In the comparison of video counts, the sample concordance correlation coefficient was 0.997 (p < 0.001). For the comparison of investigator 1's video counts to the corresponding audio counts, the sample concordance correlation coefficient was 0.968 (p = 0.026). For the comparison of investigator 2's video counts to the corresponding counts, the sample concordance correlation coefficient was 0.973 (p = 0.015). CONCLUSION: We have developed and piloted a new, valid, and reproducible method of objectively recording and analyzing cough. This device appears to be useful for subjects of any age and in clinical and research settings.
Authors: Michael A Coyle; Desmond B Keenan; Linda S Henderson; Michael L Watkins; Brett K Haumann; David W Mayleben; Michael G Wilson Journal: Cough Date: 2005-08-04
Authors: Alvaro Proaño; Marjory A Bravard; Brian H Tracey; José W López; German Comina; Mirko Zimic; Jorge Coronel; Gwenyth O'Neil Lee; Luz Caviedes; Jose Luis Cabrera; Antonio Salas; Eduardo Ticona; Daniela E Kirwan; Jon S Friedland; Carlton A Evans; David A Moore; Robert H Gilman Journal: BMJ Open Date: 2016-04-22 Impact factor: 2.692
Authors: Louis-Philippe Boulet; Remy R Coeytaux; Douglas C McCrory; Cynthia T French; Anne B Chang; Surinder S Birring; Jaclyn Smith; Rebecca L Diekemper; Bruce Rubin; Richard S Irwin Journal: Chest Date: 2015-03 Impact factor: 9.410
Authors: Sandra Larson; Germán Comina; Robert H Gilman; Brian H Tracey; Marjory Bravard; José W López Journal: PLoS One Date: 2012-10-10 Impact factor: 3.240