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Related Concept Videos

COPD: Pathogenesis and Clinical Features01:20

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Decoding objective cough features in progressive pulmonary fibrosis: A 6-month feasibility study.

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Objective cough monitoring using wearable devices shows promise for tracking progressive pulmonary fibrosis. Digital cough data may help monitor disease progression, correlating with patient-reported outcomes.

Keywords:
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Area of Science:

  • Pulmonary Medicine
  • Digital Health
  • Data Science

Background:

  • Cough is a major symptom in progressive pulmonary fibrosis (PPF).
  • Current monitoring relies on subjective patient-reported outcomes.
  • Objective, long-term cough monitoring is needed.

Purpose of the Study:

  • Assess the feasibility of using an objective cough monitoring device over six months in PPF patients.
  • Explore correlations between device-measured cough data and patient-reported outcome measures (PROMs).
  • Investigate the utility of big data analytics for PPF cough monitoring.

Main Methods:

  • Eight patients with progressive pulmonary fibrosis were enrolled in a six-month study.
  • Primary outcome: device usage >70% of study duration.
  • Secondary outcome: exploratory big data analysis correlating device data with Leicester Cough Questionnaire (LCQ) and King's Brief Interstitial Lung Disease (K-BILD) scores.

Main Results:

  • Only one patient met the primary feasibility outcome (device usage).
  • Sufficient data allowed correlation of cough intensity with LCQ and K-BILD scores.
  • Cough counts varied over time, independent of questionnaire scores.

Conclusions:

  • Long-term digital cough data from wearables may enable disease monitoring in progressive pulmonary fibrosis.
  • This approach offers a novel, objective method for tracking PPF.
  • Wearable technology holds potential for managing chronic respiratory diseases.