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Unravelling telemonitoring data to predict good NIV quality: the E-QualiNIV study
Arnaud Prigent1,2, Clément Blanloeil3, Dany Jaffuel4,5
1Groupe Médical de Pneumologie, Rennes, France dr.arnaudprigent@gmail.com.
BMJ Open Respiratory Research
|October 10, 2025
Summary
Low adherence variance in non-invasive ventilation (NIV) treatment is linked to better outcomes. This study found that consistent low adherence variance predicts higher treatment quality and fewer alerts for patients with chronic respiratory failure.
Area of Science:
- Respiratory Medicine
- Medical Technology
- Data Science in Healthcare
Background:
- High-quality treatment for chronic respiratory failure using non-invasive ventilation (NIV) requires specific adherence and low leak parameters.
- Adherence variance may indicate patient behavior associated with better treatment quality.
Purpose of the Study:
- To determine if monthly adherence variance predicts improved treatment quality in patients undergoing long-term NIV.
- To assess the prognostic value of adherence variance for NIV treatment stability.
Main Methods:
- Retrospective analysis of 511 telemonitored patients with chronic respiratory failure receiving NIV.
- Hierarchical clustering based on individual adherence variance.
- Statistical analysis to correlate monthly adherence variance with subsequent treatment quality and alert occurrence.
Main Results:
- Patients with adherence variance below 3 showed significantly higher rates of high-quality treatment (57.93%) compared to other clusters.
- Low adherence variance in one month predicted high-quality treatment in the following month for most months studied.
- Six or more months of low adherence variance significantly increased the probability of sustained high-quality treatment.
Conclusions:
- Low adherence variance is a key indicator of high-quality non-invasive ventilation treatment.
- Adherence variance serves as a prognostic marker for treatment stability and future alert prediction in NIV therapy.
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