Clinical Trials Logo

Clinical Trial Summary

Knowledge-based systems were initially developped to automatically adapt pressure support settings during invasive ventilation, and proved to be at least as efficient as experienced clinicians.

Non-invasive ventilation has become the standard of care for patients suffering from acute hypercapnic respiratory failure (ARF)and has reduced the need for endotracheal intubation in these patients, thus reducing their hospital mortality.

NIV success or failure is closely related to the tolerance of NIV treatment, which is tightly correlated to patient-ventilator synchrony. As severe asynchronies frequently occurs during NIV (namely in more than 40% of patients) and as the occurence of asynchronies is related to the use of high pressure support levels, to the presence of leaks and/or to non optimal expiratory trigger settings, very frequent ventilator settings adaptations should allow reducing patient-ventilator asynchronies but require the presence of an experienced clinician at the bedside during NIV treatment.

A computer-driven ventilator settings adaptation has the adavantage of permitting very frequent ventilator settings adaptation whithout requiring the presence of an experienced clinician at the bedside and could possibly improve patient-ventilator interaction.

The aim of the present study is to test the faisability of using the Smartcare NIV computer-driven system to automatically adapt ventilator settings during non invasive ventilation delivered because of acute respiratory failure.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT01870089
Study type Interventional
Source University of Lausanne Hospitals
Contact
Status Terminated
Phase N/A
Start date May 2013
Completion date August 2016

See also
  Status Clinical Trial Phase
Recruiting NCT05144633 - Blue Protocol and Eko Artificial Intelligence Are Best (BEA-BEST)
Completed NCT04534569 - Expert Panel Statement for the Respiratory Management of COVID-19 Related Acute Respiratory Failure (C-ARF)
Recruiting NCT03021902 - Nutrition and Exercise in Critical Illness Phase 2
Completed NCT02902146 - Bougie Use in Emergency Airway Management N/A
Completed NCT02901158 - Esophageal Manometry in Mechanically Ventilated Patients
Completed NCT02236559 - High Flow Therapy for the Treatment of Respiratory Failure in the ED N/A
Recruiting NCT02056093 - Comparison of Proportional Assist Ventilation And Neurally Adjusted Ventilator Assist N/A
Terminated NCT01083277 - Variable Ventilation During Acute Respiratory Failure N/A
Not yet recruiting NCT01668368 - Goal Directed Mechanical Ventilation Aimed at Optimal Lung Compliance N/A
Completed NCT01462279 - Effect of Thiamine on Oxygen Utilization (VO2) in Critical Illness N/A
Completed NCT01114022 - Prevention Inhalation of Bacterial by Using Endotracheal Tube Balloon Polyvinyl Chloride or Polyurethane N/A
Active, not recruiting NCT01058421 - Treatment of Critical Illness Polyneuromyopathy Phase 2
Completed NCT00252616 - Timing of Target Enteral Feeding in the Mechanically Ventilated Patient Phase 2/Phase 3
Recruiting NCT04098094 - Outcomes of RV Dysfunction in Acute Exacerbation of Chronic Respiratory Diseases
Recruiting NCT06051292 - Decremental Esophageal Catheter Filling Volume Titration For Transpulmonary Pressure Measurement N/A
Completed NCT04601090 - Survival Rates and Longterm Outcomes After COVID-19
Recruiting NCT05423301 - Global Physiotherapy in ICU Patients With High Risk Extubation Failure N/A
Completed NCT02447692 - Proportional Assist Ventilation for Minimizing the Duration of Mechanical Ventilation: The PROMIZING Study N/A
Completed NCT04016480 - HFNC During Bronchoscopy for Bronchoalveolar Lavage N/A
Completed NCT04507425 - High Flow Nasal Cannula With Noninvasive Ventilation N/A