Can Telemonitoring Predict Patient-Reported Leak Perception in Long-Term Home Noninvasive Ventilation for Patients...

Area of Science:

• Pulmonary Medicine
• Biomedical Engineering
• Health Informatics

Background:

• Home non-invasive ventilation (NIV) is crucial for chronic respiratory failure but telemonitoring faces challenges with undefined alert thresholds.
• Current leak thresholds lack validation, leading to inefficient care and alert fatigue.

Purpose of the Study:

• To determine if telemonitoring leak data can predict patient-perceived leaks during home NIV for chronic respiratory failure.

Main Methods:

• Retrospective analysis of data from 571 patients receiving home NIV between March 2019 and May 2023.
• Extracted 27 leak features across 7-28 day windows, correlating with S3-NIV questionnaire data.
• Employed ANOVA, effect size calculation, Linear Mixed-effects regression, and K-nearest neighbors for analysis.

Main Results:

• Only S3-NIV Item 8 (disturbance by leaks) showed significant association with leak features.
• Disturbed patients reported more NIV issues and respiratory symptoms, irrespective of demographics or NIV settings.
• Predictive models showed limited accuracy in forecasting patient-perceived leaks, with central tendency and magnitude leak features having highest effect sizes.

Conclusions:

• Telemonitoring leak data alone is insufficient to predict patient perception of leaks.
• Individual patient factors significantly influence leak perception.
• A proactive, patient-centered management strategy integrating telemonitoring and patient-reported outcomes is essential.