Is there a relationship between real-time continuous cough monitoring and subjective cough assessment?

<bold>Introduction:</bold> Real-time continuous cough monitoring using wearable technology is a novel technique of quantifying disease severity in patients with chronic cough. Little is known about how daily objective cough count measured by such devices correlates with subjective assessment of symptoms in cough patients. <bold>Methods:</bold> Patients with chronic cough were monitored the HyfeAI CoughWatch for 30 consecutive days and concomitantly recorded daily cough severity scores using the Cough Visual Analogue Scale (VAS). Objective cough count data collected was recorded and correlated with daily VAS scores. <bold>Results:</bold> 12 Patients recorded a median of 93 coughs per day (range 3-637) with a mean (SD) cough VAS score of 43mm (24mm). There was no significant association between daily cough count and daily cough VAS score in any of the patients. Scatter plots demonstrating these relationships can be visualised in Figure 1 and the Pearson correlation coefficients can be seen in Table 1. <bold>Conclusions:</bold> There is no association between daily objective cough counts and daily cough VAS scores, more work is required to find the optimal endpoint for responses to treatment for chronic cough. Data from an ERS NeuroCOUGH CRC site. <table-wrap><object-id>erj;64/suppl_68/PA2139/TB1</object-id><object-id>T1</object-id><object-id>TB1</object-id><table><colgroup><col></col><col></col></colgroup><tbody><tr><td><bold>Participant Number</bold> </td><td><bold>Pearson's Coefficient</bold></td></tr><tr><td>3</td><td>-0.064</td></tr><tr><td>4</td><td>0.036</td></tr><tr><td>5</td><td>-0.248</td></tr><tr><td>6</td><td>0.380</td></tr><tr><td>7</td><td>0.158</td></tr><tr><td>8</td><td>NA</td></tr><tr><td>11</td><td>-0.344</td></tr><tr><td>13</td><td>0.453</td></tr><tr><td>15</td><td>0.213</td></tr><tr><td>17</td><td>-.0284</td></tr><tr><td>18</td><td>0.253</td></tr><tr><td>19</td><td>0.216</td></tr></tbody></table></table-wrap> <bold>Tab1.</bold>Pearson Correlation Coefficient for objective cough counts and daily cough VAS <fig><object-id>erj;64/suppl_68/PA2139/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

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Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa2139
Primary Topic
Respiratory and Cough-Related Research
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article
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article

Is there a relationship between real-time continuous cough monitoring and subjective cough assessment?

Kayleigh Brindle, Michael G. Crooks, Peter M. Small, Alyn H. Morice et al.
Respiratory and Cough-Related Research
article

Is there a relationship between real-time continuous cough monitoring and subjective cough assessment?

Kayleigh Brindle, Michael G. Crooks, Peter M. Small, Alyn H. Morice, Matthew Rudd, Dominic L. Sykes, Simon p Hart, Lola Jover, Jennifer Nielsen, Rohan Menon
article en

Abstract

<bold>Introduction:</bold> Real-time continuous cough monitoring using wearable technology is a novel technique of quantifying disease severity in patients with chronic cough. Little is known about how daily objective cough count measured by such devices correlates with subjective assessment of symptoms in cough patients. <bold>Methods:</bold> Patients with chronic cough were monitored the HyfeAI CoughWatch for 30 consecutive days and concomitantly recorded daily cough severity scores using the Cough Visual Analogue Scale (VAS). Objective cough count data collected was recorded and correlated with daily VAS scores. <bold>Results:</bold> 12 Patients recorded a median of 93 coughs per day (range 3-637) with a mean (SD) cough VAS score of 43mm (24mm). There was no significant association between daily cough count and daily cough VAS score in any of the patients. Scatter plots demonstrating these relationships can be visualised in Figure 1 and the Pearson correlation coefficients can be seen in Table 1. <bold>Conclusions:</bold> There is no association between daily objective cough counts and daily cough VAS scores, more work is required to find the optimal endpoint for responses to treatment for chronic cough. Data from an ERS NeuroCOUGH CRC site. <table-wrap><object-id>erj;64/suppl_68/PA2139/TB1</object-id><object-id>T1</object-id><object-id>TB1</object-id><table><colgroup><col></col><col></col></colgroup><tbody><tr><td><bold>Participant Number</bold> </td><td><bold>Pearson's Coefficient</bold></td></tr><tr><td>3</td><td>-0.064</td></tr><tr><td>4</td><td>0.036</td></tr><tr><td>5</td><td>-0.248</td></tr><tr><td>6</td><td>0.380</td></tr><tr><td>7</td><td>0.158</td></tr><tr><td>8</td><td>NA</td></tr><tr><td>11</td><td>-0.344</td></tr><tr><td>13</td><td>0.453</td></tr><tr><td>15</td><td>0.213</td></tr><tr><td>17</td><td>-.0284</td></tr><tr><td>18</td><td>0.253</td></tr><tr><td>19</td><td>0.216</td></tr></tbody></table></table-wrap> <bold>Tab1.</bold>Pearson Correlation Coefficient for objective cough counts and daily cough VAS <fig><object-id>erj;64/suppl_68/PA2139/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

American University for Humanities (US), Hull York Medical School (GB)
Zero hunger
Openalex Percentile: Top 63%
Respiratory and Cough-Related Research
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