Pilot study of home-based monitoring for early prediction of acute exacerbations in patients with fibrosing interstitial lung diseases.

Sci Rep

Department of Key Laboratory of Ningxia Stem Cell and Regenerative Medicine, Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia, People's Republic of China.

Published: September 2024

AI Article Synopsis

  • The study evaluated the effectiveness of a home monitoring app to predict acute exacerbations (AEs) in patients with fibrosing interstitial lung diseases (F-ILDs) by tracking symptoms, blood oxygen levels (SpO), and heart rate (HR).
  • Data was collected from 85 patients, focusing on cough intensity, breathlessness, and vital signs before and after a 1-minute sit-to-stand test, with significant changes detected prior to AE onset.
  • A specific combination of symptom increases and decreases in SpO proved to be the best indicators for predicting AEs two weeks before they occurred, highlighting the app's potential for early detection.

Article Abstract

This study aimed to assess the potential of home monitoring using a monitoring application for the early prediction of acute exacerbations (AEs) in patients with fibrosing interstitial lung diseases (F-ILDs) by tracking symptoms, peripheral blood oxygen saturation (SpO), and heart rate (HR). Data on symptoms, SpO, and HR before and after a 1-min sit-to-stand test (1STST) were collected using an online home monitoring application. Symptoms were recorded at least 3 times a week, including cough intensity and frequency (Cough Assessment Test scale (COAT) score), breathlessness grade (modified Medical Research Council (mMRC) score), and SpO and HR before and after 1STST. Eighty-five patients with stable F-ILDs were enrolled. We observed a significant increase in COAT and mMRC scores, alongside a significant decrease in SpO before and after 1STST, 2 weeks before the first recorded AE. Furthermore, a combination of variables-an increase in COAT (≥ 4) and mMRC(≥ 1) scores, a decrease in SpO at rest (≥ 5%), and a decrease in SpO after 1STST (≥ 4%)- proved the most effective in predicting AE onset in patients with F-ILDs at 2 weeks before the first recorded AE. Home telemonitoring of symptoms, SpO holds potential value for early AE detection in patients with F-ILDs.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11387483PMC
http://dx.doi.org/10.1038/s41598-024-71942-xDOI Listing

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