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Feasibility and Utility of a Smartphone Application-Based Longitudinal Cough Monitoring in Chronic Cough Patients in a Real-World Setting

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Abstract

Purpose

This study evaluated the feasibility and utility of longitudinal cough frequency monitoring with the Hyfe Cough Tracker, a mobile application equipped with cough-counting artificial intelligence algorithms, in real-world patients with chronic cough.

Methods

Patients with chronic cough (> 8-week duration) were monitored continuously for cough frequency with the Hyfe app for at least one week. Cough was also evaluated using the Leicester Cough Questionnaire (LCQ) and daily cough severity scoring (0–10). The study analyzed adherence rate, the correlation between objective cough frequency and subjective scores, day-to-day variability, and patient experience.

Results

Of 65 subjects consecutively recruited, 43 completed the study. The median cough monitoring duration was 13.9 days, with a median adherence of 91%. Study completion was associated with baseline cough severity, and the adherence rate was higher in younger subjects. Cross-sectional correlation analyses showed modest correlations between objective and subjective cough measures at the group level. However, in time series correlation analyses, correlations between objective and subjective measures widely varied across individuals. Cough frequency had greater day-to-day variability than daily cough severity scores in most subjects. A patient experience survey found that 70% of participants found the cough monitoring helpful, 86% considered it acceptable, and 84% felt it was easy to use.

Conclusion

Monitoring cough frequency longitudinally for at least one week may be feasible. The substantial day-to-day variability in objective cough frequency highlights the need for continuous monitoring. Grasping the implications of daily cough variability is crucial in both clinical practice and clinical trials.

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References

  1. Morice AH, Fontana GA, Belvisi MG, Birring SS, Chung KF, Dicpinigaitis PV, Kastelik JA, McGarvey LP, Smith JA, Tatar M, Widdicombe J, European Respiratory S (2007) ERS guidelines on the assessment of cough. Eur Respir J 29(6):1256–1276

    Article  CAS  PubMed  Google Scholar 

  2. Crooks MG, den Brinker AC, Thackray-Nocera S, van Dinther R, Wright CE, Morice AH (2021) Domiciliary cough monitoring for the prediction of COPD exacerbations. Lung 199(2):131–137

    Article  PubMed  PubMed Central  Google Scholar 

  3. Faruqi S, Sykes DL, Crooks MG, Brindle K, Thompson J, Morice AH (2020) Objective assessment of cough: an early marker of response to biological therapies in asthma? Lung 198(5):767–770

    Article  PubMed  Google Scholar 

  4. Do W, Russell R, Wheeler C, Javed H, Dogan C, Cunningham G, Khanna V, De Vos M, Satia I, Bafadhel M (2022) Performance of cough monitoring by Albus Home, a contactless and automated system for nocturnal respiratory monitoring at home. ERJ Open Res 8(4):00265–02022

    Article  PubMed  PubMed Central  Google Scholar 

  5. Porter P, Brisbane J, Abeyratne U, Bear N, Claxton S (2022) A smartphone-based algorithm comprising cough analysis and patient-reported symptoms identifies acute exacerbations of asthma: a prospective, double blind, diagnostic accuracy study. J Asthma 60:368–376

    Article  PubMed  Google Scholar 

  6. Huddart S, Asege L, Jaganath D, Golla M, Dang H, Lovelina L, Derendinger B, Andama A, Christopher D, Nhung N (2023) Continuous cough monitoring: a novel digital biomarker for TB diagnosis and treatment response monitoring. Int J Tuberc Lung Dis 27(3):221–222

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Altshuler E, Tannir B, Jolicoeur G, Rudd M, Saleem C, Cherabuddi K, Dore DH, Nagarsheth P, Brew J, Small PM, Glenn Morris J, Grandjean Lapierre S (2023) Digital cough monitoring—a potential predictive acoustic biomarker of clinical outcomes in hospitalized COVID-19 patients. J Biomed Inform 138:104283

    Article  PubMed  PubMed Central  Google Scholar 

  8. Gabaldón-Figueira JC, Keen E, Giménez G, Orrillo V, Blavia I, Doré DH, Armendáriz N, Chaccour J, Fernandez-Montero A, Bartolomé J (2022) Acoustic surveillance of cough for detecting respiratory disease using artificial intelligence. ERJ Open Res 8(2):00053–02022

    Article  PubMed  PubMed Central  Google Scholar 

  9. Tinschert P, Rassouli F, Barata F, Steurer-Stey C, Fleisch E, Puhan MA, Kowatsch T, Brutsche MH (2020) Nocturnal cough and sleep quality to assess asthma control and predict attacks. J Asthma Allergy 13:669–678

    Article  PubMed  PubMed Central  Google Scholar 

  10. Zhang M, Brindle K, Robinson M, Ingram D, Cavany T, Morice A (2022) Chronic cough in cystic fibrosis: the effect of modulator therapy on objective 24-h cough monitoring. ERJ Open Res 8(2):00031–02022

    Article  PubMed  PubMed Central  Google Scholar 

  11. McGarvey L, Gibson PG (2019) What is chronic cough? terminology. J Allergy Clin Immunol Pract 7(6):1711–1714

    Article  PubMed  Google Scholar 

  12. Morice AH, Millqvist E, Bieksiene K et al (2020) ERS guidelines on the diagnosis and treatment of chronic cough in adults and children. Eur Respir J 55(1):1901136

    Article  CAS  PubMed  Google Scholar 

  13. McGarvey LP, Birring SS, Morice AH et al (2022) Efficacy and safety of gefapixant, a P2X(3) receptor antagonist, in refractory chronic cough and unexplained chronic cough (COUGH-1 and COUGH-2): results from two double-blind, randomised, parallel-group, placebo-controlled, phase 3 trials. Lancet 399(10328):909–923

    Article  PubMed  Google Scholar 

  14. Dicpinigaitis PV, Morice AH, Smith JA et al (2023) Efficacy and safety of eliapixant in refractory chronic cough: the randomized, placebo-controlled phase 2b PAGANINI study. Lung 201(3):255–266

    Article  CAS  PubMed  Google Scholar 

  15. McGarvey L, Smith JA, Morice A et al (2023) A Randomized, double-blind, placebo-controlled, parallel-group phase 2b trial of P2X3 receptor antagonist sivopixant for refractory or unexplained chronic cough. Lung 201(1):25–35

    Article  CAS  PubMed  Google Scholar 

  16. Birring SS, Fleming T, Matos S, Raj AA, Evans DH, Pavord ID (2008) The leicester cough monitor: preliminary validation of an automated cough detection system in chronic cough. Eur Respir J 31(5):1013–1018

    Article  CAS  PubMed  Google Scholar 

  17. Smith JA, Holt K, Dockry R, Sen S, Sheppard K, Turner P, Czyzyk P, McGuinness K (2021) Performance of a digital signal processing algorithm for the accurate quantification of cough frequency. Eur Respir J 58(2):2004271

    Article  PubMed  Google Scholar 

  18. Kang YR, Oh JY, Lee JH, Small PM, Chung KF, Song WJ (2022) Long-COVID severe refractory cough: discussion of a case with 6-week longitudinal cough characterization. Asia Pac Allergy 12(2):e19

    Article  PubMed  PubMed Central  Google Scholar 

  19. Rudd M, Song W-J, Small PM (2022) The statistics of counting coughs: easy as 1, 2, 3? Lung 200(5):531–537

    Article  PubMed  Google Scholar 

  20. Rassouli F, Tinschert P, Barata F, Steurer-Stey C, Fleisch E, Puhan MA, Baty F, Kowatsch T, Brutsche MH (2020) Characteristics of asthma-related nocturnal cough: a potential new digital biomarker. J Asthma Allergy 13:649–657

    Article  PubMed  PubMed Central  Google Scholar 

  21. Liaqat D, Liaqat S, Chen JL, Sedaghat T, Gabel M, Rudzicz F, de Lara E Coughwatch: Real-world cough detection using smartwatches. In: ICASSP 2021–2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. IEEE, pp 8333–8337

  22. Jokić S, Cleres D, Rassouli F, Steurer-Stey C, Puhan MA, Brutsche M, Fleisch E, Barata F (2022) TripletCough: cougher identification and verification from contact-free smartphone-based audio recordings using metric learning. IEEE J Biomed Health Inform 26(6):2746–2757

    Article  PubMed  Google Scholar 

  23. Kruizinga MD, Zhuparris A, Dessing E, Krol FJ, Sprij AJ, Doll RJ, Stuurman FE, Exadaktylos V, Driessen GJ, Cohen AF (2022) Development and technical validation of a smartphone-based pediatric cough detection algorithm. Pediatr Pulmonol 57(3):761–767

    Article  PubMed  PubMed Central  Google Scholar 

  24. Barata F, Cleres D, Tinschert P, Iris Shih CH, Rassouli F, Boesch M, Brutsche M, Fleisch E (2023) Nighttime continuous contactless smartphone-based cough monitoring for the ward: validation study. JMIR Form Res 7:e38439

    Article  PubMed  PubMed Central  Google Scholar 

  25. Shim J-S, Kim M-H, Lee SM, Kim S-H, Kwon J-W, Song C, Ahn K-M, Kang S-Y, Park H-K, Park H-W (2023) An artificial intelligence algorithm-based smartphone application for daily cough monitoring. Allergy 78:1378–1380

    Article  PubMed  Google Scholar 

  26. Kuhn M, Nalbant E, Kohlbrenner D, Alge M, Kuett L, Arvaji A, Sievi NA, Russi EW, Clarenbach CF (2023) Validation of a small cough detector. ERJ Open Res 9(1):00279–02022

    Article  PubMed  PubMed Central  Google Scholar 

  27. Gabaldón-Figueira JC, Keen E, Rudd M, Orrilo V, Blavia I, Chaccour J, Galvosas M, Small P, Lapierre SG, Chaccour C (2022) Longitudinal passive cough monitoring and its implications for detecting changes in clinical status. ERJ Open Res 8(2):00001–02022

    Article  PubMed  PubMed Central  Google Scholar 

  28. Song DJ, Song WJ, Kwon JW et al (2018) KAAACI evidence-based clinical practice guidelines for chronic cough in adults and children in Korea. Allergy Asthma Immunol Res 10(6):591–613

    Article  PubMed  PubMed Central  Google Scholar 

  29. Gabaldon-Figueira JC, Brew J, Dore DH, Umashankar N, Chaccour J, Orrillo V, Tsang LY, Blavia I, Fernandez-Montero A, Bartolome J, Grandjean Lapierre S, Chaccour C (2021) Digital acoustic surveillance for early detection of respiratory disease outbreaks in Spain: a protocol for an observational study. BMJ Open 11(7):e051278

    Article  PubMed  Google Scholar 

  30. Vertigan AE, Kapela SL, Birring SS, Gibson PG (2021) Feasibility and clinical utility of ambulatory cough monitoring in an outpatient clinical setting: a real-world retrospective evaluation. ERJ Open Res 7(4):00319–02021

    Article  PubMed  PubMed Central  Google Scholar 

  31. Kelsall A, Decalmer S, Webster D, Brown N, McGuinness K, Woodcock A, Smith J (2008) How to quantify coughing: correlations with quality of life in chronic cough. Eur Respir J 32(1):175–179

    Article  CAS  PubMed  Google Scholar 

  32. Faruqi S, Thompson R, Wright C, Sheedy W, Morice AH (2011) Quantifying chronic cough: objective versus subjective measurements. Respirology 16(2):314–320

    Article  PubMed  Google Scholar 

  33. Birring SS, Matos S, Patel RB, Prudon B, Evans DH, Pavord ID (2006) Cough frequency, cough sensitivity and health status in patients with chronic cough. Respir Med 100(6):1105–1109

    Article  PubMed  Google Scholar 

  34. Kum E, Guyatt GH, Devji T, Wang Y, Bakaa L, Lan L, Liu E, Mastrolonardo A, Couban R, O’Byrne PM, Satia I (2021) Cough symptom severity in patients with refractory or unexplained chronic cough: a systematic survey and conceptual framework. Eur Respir Rev 30(161):210104

    Article  PubMed  PubMed Central  Google Scholar 

  35. Kum E, Guyatt GH, Munoz C et al (2022) Assessing cough symptom severity in refractory or unexplained chronic cough: findings from patient focus groups and an international expert panel. ERJ Open Res 8(1):00667–02021

    Article  PubMed  PubMed Central  Google Scholar 

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Authors and Affiliations

Authors

Contributions

WJS is the full guarantor of this manuscript. SEL, PMS, KFC, and WJS contributed to the study conception and design and data interpretation. THK, JYO, JHL, and LJ have made contributions to the data acquisition. SEL and MR performed formal analysis. SEL and WJS drafted the first version of the manuscript. PMS, KFC, and WJS supervised and revised the manuscript. All authors approved this version of the manuscript for submission.

Corresponding author

Correspondence to Woo-Jung Song.

Ethics declarations

Conflict of interests

SEL, THK, JYO, JHL, and WJS declare no related financial interests. MR, LJ, and PMS are employees of Hyfe Inc. KFC has received honoraria for participating in Advisory Board meetings of Roche, Merck, Novartis, GSK, Nocion, Shionogi, and Rickett-Beckinson and has also been renumerated for speaking engagements for Novartis and AZ. No authors received financial compensation for participation in this work.

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Lee, SE., Rudd, M., Kim, TH. et al. Feasibility and Utility of a Smartphone Application-Based Longitudinal Cough Monitoring in Chronic Cough Patients in a Real-World Setting. Lung 201, 555–564 (2023). https://doi.org/10.1007/s00408-023-00647-1

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  • DOI: https://doi.org/10.1007/s00408-023-00647-1

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