Observational studyInternational journal of chronic obstructive pulmonary disease2018
Prediction of severe acute exacerbation using changes in breathing pattern of COPD patients on home noninvasive ventilation.
Observational study in International journal of chronic obstructive pulmonary disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Differentiating the start of an exacerbation from day-to-day variation in people with COPD: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2026Pooled it
- ERS Congress 2025: highlights from the Respiratory Intensive Care Assembly.ERJ open research · 2026Article
- Does Respiratory Rate Increase Before Respiratory Exacerbations in Pediatric Neuromuscular Patients Requiring Ventilation?Pediatric pulmonology · 2026Article
- At-home validation of a non-contact, radar-based breathing monitor for long-term care of patients with respiratory diseases: A proof-of-concept study.Pneumologie (Stuttgart, Germany) · 2025Article
- Relevance of telemonitoring algorithms for the management of home noninvasive ventilation.ERJ open research · 2025Article
- Detection of COPD exacerbations with continuous monitoring of breathing rate and inspiratory amplitude under oxygen therapy.BMC medical informatics and decision making · 2025Article
- Nighttime Cough Characteristics in Chronic Obstructive Pulmonary Disease Patients.Sensors (Basel, Switzerland) · 2025Article
- Update in Noninvasive Home Mechanical Ventilation: A Narrative Review of Indications, Outcomes, and Monitoring.Canadian respiratory journal · 2024Review
- Monitoring Systems in Home Ventilation.Journal of clinical medicine · 2023Review
- One-Step Fabrication of Paper-Based Inkjet-Printed Graphene for Breath Monitor Sensors.Biosensors · 2023Article
- A proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of COPD: a prospective cohort study.Respiratory research · 2022Article
- Remote Monitoring for Prediction and Management of Acute Exacerbations in Chronic Obstructive Pulmonary Disease (AECOPD).Life (Basel, Switzerland) · 2022Review
- Remote-Management of COPD: Evaluating the Implementation of Digital Innovation to Enable Routine Care (RECEIVER): the protocol for a feasibility and service adoption observational cohort study.BMJ open respiratory research · 2021Article
- Machine-learning based feature selection for a non-invasive breathing change detection.BioData mining · 2021Article
- Spanish Society of Pulmonology and Thoracic Surgery positioning on the use of telemedine in sleep-disordered breathing and mechanical ventilation.Archivos de bronconeumologia · 2021Article
- Review
- Method of respiratory rate measurement using a unique wearable platform and an adaptive optical-based approach.Intensive care medicine experimental · 2020Article
- Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison.JMIR mHealth and uHealth · 2020Article
- Precision medicine is coming to town: personalising home ventilatory equipment in COPD patients with chronic hypercapnic respiratory failure.European respiratory review : an official journal of the European Respiratory Society · 2019Review
- Day-to-Day Variability of Parameters Recorded by Home Noninvasive Positive Pressure Ventilation for Detection of Severe Acute Exacerbations in COPD.International journal of chronic obstructive pulmonary diseaseObservational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Acute exacerbation of COPD (AECOPD) is associated with poor outcome. Noninvasive ventilation (NIV) is recommended to treat end-stage COPD. We hypothesized that changing breathing pattern of COPD patients on NIV could identify patients with severe AECOPD prior to admission. Methods: This is a prospective monocentric study including all patients with COPD treated with long-term home NIV. Patients were divided in two groups: a stable group in which patients were admitted for the usual respiratory review and an exacerbation group in which patients were admitted for inpatient care of severe AECOPD. Data from the ventilator were downloaded and analyzed over the course of the 10 days that preceded the admission. Results: A total of 62 patients were included: 41 (67%) in the stable group and 21 (33%) in the exacerbation group. Respiratory rate was higher in the exacerbation group than in the stable group over the 10 days preceding inclusion (18.2±0.5 vs 16.3±0.5 breaths/min, respectively) ( Conclusion: Data from NIV can identify a change in breathing patterns that predicts severe AECOPD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.