Skip to content

Weaning Algorithm for Mechanical VEntilation

Weaning Algorithm for Mechanical VEntilation (WAVE Study): A Randomised Control Trial Comparing an Open-loop Decision Support System Versus Routine Care for Weaning From Mechanical Ventilation in the Cardiothoracic Intensive Care Unit

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03697785
Acronym
WAVE
Enrollment
286
Registered
2018-10-05
Start date
2018-09-24
Completion date
2021-10-01
Last updated
2018-10-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Critical Care, Intensive Care (ICU) Myopathy, Mechanical Ventilation Complication, Respiration, Artificial, Respiratory Insufficiency

Keywords

weaning, cardiothoracic, mechanical ventilation, intensive care, critical care, beacon caresystem

Brief summary

To compare the duration of mechanical ventilation and the weaning period between two groups of patients managed with either Standard Care or with mechanical ventilation adjusted according to the Beacon Caresystem, in patients receiving mechanical ventilation for more than 24 hours

Detailed description

Patients admitted to the intensive care unit typically receive invasive mechanical ventilatory support when they are critically ill. Whilst mechanical ventilation is a life-saving intervention, it can also lead to deleterious consequences and cause lung damage (known as ventilator-associated lung injury) if not implemented carefully. Hence, reducing the duration of mechanical ventilation should reduce complications such as ventilator-associated lung injury, ventilator-acquired pneumonia, respiratory and skeletal muscle wasting, and patient discomfort, leading to decreasing mortality and economic costs etc. Importantly, prolonged weaning perpetuates these complications which further increase the duration of mechanical ventilation thereby creating a viscous cycle leading to greater morbidity and mortality. The availability and education of intensive care unit (ICU) staff are important considerations in minimizing the duration of mechanical ventilation through weaning protocols. It is common practice that the attending physician decides upon patient's therapy and ventilatory management according to recommendations. This usually occurs as part of medical rounds. In addition, nurses often manage the weaning of patients from mechanical ventilation either by following attending physicians' instructions or local guidelines protocols. Such protocol-directed, nurse-driven weaning has been shown to reduce the duration of mechanical ventilation. However, it has been shown that the quantity and quality of nursing are important factors if duration is to be reduced. Several decision support systems have been developed to help select optimal mechanical ventilator strategies. Those finding their way into routine clinical practice have typically been based on clinical guidelines or rules rather than detailed physiological description of the individual patient. A recent Cochrane review of weaning trials with these systems concluded that use of these systems may reduce duration of weaning, but pointed out that many of these trials are based on patients that are 'simple to wean'. Such patients are usually less complex, without lung pathology, and ventilated for less than 48 hours. However, there is a need to develop and validate protocolised systems that utilize a more detailed physiological description of individual patients to aid in the management of complex patients ventilated for longer durations. The Beacon Caresystem is a model-based decision support system using mathematical models tuned to the individual patient's physiology to advise on appropriate ventilator settings. Personalised approaches using individual patient description may be particularly advantageous in complex patients, including those who are difficult to mechanically ventilate and wean; precisely those where previous systems have not been sufficiently evaluated. The Beacon Caresystem is a commercial version of the system previously known as INVENT, which has been retrospectively evaluated in post-operative cardiac patients and patients with severe lung disease, and prospectively evaluated in advising on the correct level of inspiratory oxygen. Furthermore, studies are near completion showing that the system provides safe and appropriate advice on inspired oxygen, respiratory frequency, tidal volume, pressure support/control and positive end expiratory pressure (PEEP) in a wide variety of patients ranging from patients with severe respiratory failure to patients close to extubation (unpublished data). However, previous and ongoing studies with the Beacon Caresystem have focused on safety and efficacy of advice under limited time periods, and have not focused on weaning from mechanical ventilation. The core of the Beacon Caresystem is a set of physiological models including pulmonary gas exchange, acid-base chemistry, lung mechanics, and respiratory drive. The Beacon Caresystem tunes these models to the individual patient such that they describe accurately current measurements. Once tuned, the models are used by the system to simulate the effects of changing ventilator settings. The results of these simulations are then used to calculate the clinical benefit of changing ventilator settings by balancing the competing goals of mechanical ventilation. For example, an increased inspiratory volume will reduce an acidosis of the blood while detrimentally increasing lung pressure. Appropriate ventilator settings therefore imply a balance between the preferred value of pH weighted against the preferred value of lung pressure. A number of these balances exist, and the system weighs these, calculating a total score for the patient for any possible ventilation strategy. The system then calculates advice as to changes in ventilator settings so to as improve this score. The Beacon Caresystem functions as an open loop system. This means that the advice provided by the system is presented to the clinician. The ventilator settings are then changed by the clinician, and the patient's physiological response to these changes is automatically used by the system to re-tune the models and repeat the process of generating new advice. In calculating appropriate advice, selecting the correct level of positive end expiratory pressure (PEEP) is particularly challenging. The nature of the challenge is however, very different depending upon the presence or type of lung abnormality, and the function of the heart. Patients with severe lung abnormalities such as acute respiratory distress syndrome (ARDS), which often result in small, stiff lungs, are often in control ventilation mode with little or no spontaneous breathing. For these patients, PEEP is often increased to try to recruit units of the lung which are collapsed. This can be difficult, as increasing PEEP may result in elevated lung pressure and hence an increased the risk of lung injury, incomplete expiration and air trapping, and haemodynamic compromise, especially in those with heart failure. Patients in support ventilation modes have some degree of spontaneous breathing, and the correct selection of PEEP therefore includes different criteria. It is important that these patients be weaned as quickly as possible, and PEEP is reduced as part of that process. If the setting of PEEP is too low, there is a risk of increased resistance to airflow with added respiratory work and consequent risk of respiratory muscle fatigue. If the patient has intrinsic PEEP due to dynamic hyperinflation, reducing PEEP below the level of intrinsic PEEP would also cause increased inspiratory threshold load on the respiratory muscles, and potential muscle fatigue. If PEEP is too high the respiratory muscle fibres may be shortened reducing their pressure generating capacity and endurance thus increasing the risk of respiratory muscle fatigue. Changing pressure support may help to work against an additional workload, as in cases of increased resistance or autoPEEP, whilst correct PEEP may counter the additional load. The above factors are taken into account by the physiological models of the Beacon Caresystem, and patient specific advice is also provided on PEEP. In addition to providing advice on changing individual ventilator settings, the system also advises on when measurement of arterial blood gas is necessary, when it is important to change ventilator mode, and when a spontaneous breathing test is passed, and as such extubation should be considered. However, previous and ongoing studies with the Beacon Caresystem have focused on safety and efficacy of advice under limited time periods, and have not focused on weaning from mechanical ventilation. A current study is underway in a French hospital (Clinical Trials number: NCT02842944), and at a UK hospital (IRAS 226610), to assess the benefit of the Beacon Caresystem in general medical intensive care patients. However, as mechanical ventilation therapy can vary with different patient populations it is important that investigation of the effects of use of the Beacon system be studied in numerous different clinical situations. In contrast to other studies, this study will investigate the effects of the Beacon Caresystem in ICU patients with primary cardio-thoracic disease, with these patients representing a substantial sub group of all ICU patients worldwide. The purpose of this study is to compare mechanical ventilation following advice from the Beacon Caresystem to that of routine care in cardio-thoracic ICU patients from the start of requiring invasive mechanical ventilation until ICU discharge or death. The Beacon Caresystem will be compared to routine care to investigate whether use of the system results in similar care or reduced time for weaning from mechanical ventilation.

Interventions

DEVICEBeacon Care System

Beacon has been developed by Mermaid Care in Denmark. BEACON is a critical care ventilation assist system (http://beaconcaresystem.com/beacon-5/), which potentially enables better ventilation strategies and a more efficient patient care workflow. As an add-on to standard ventilation systems it provides ventilation recommendations 24/7 based on non-stop, personalised monitoring/diagnostics of patients. Based on unique mathematical algorithms and physiological models, it recommends changes in ventilation settings, supporting the critical decision-making processes.

Sponsors

Mermaid Care A/S
CollaboratorUNKNOWN
Aalborg University
CollaboratorOTHER
Imperial College London
CollaboratorOTHER
Royal Brompton & Harefield NHS Foundation Trust
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patient remains on mechanical ventilation at 24 hours following intubation. * Age \> 18 years * Patient consent or, in the case that the patient is unable, advice from the next of kin or treating physician following understanding and acceptance of oral and written information describing the study.

Exclusion criteria

* The absence of an arterial catheter for blood sampling at study start. * Mechanical ventilation initiated for more than 48 hours. * Medical history of home mechanical ventilation which may lead to prolonged stay in the ICU, including long term oxygen therapy and non-invasive ventilation not associated with sleep apnoea. * Patients mechanically ventilated in a ventilator mode, and by a ventilator not supported by the Beacon Caresystem on screening. * Respiratory failure likely requiring extracorporeal support. * Severe cardiogenic shock likely requiring extracorporeal support. * Severe isolated right heart failure. * Head trauma or other conditions where intra-cranial pressure may be elevated and tight regulation of arterial CO2 level is paramount. * Primary (non-overdose related) neurological patients (Glasgow coma score \<10, neurologic damage with limited prognosis, stroke hemiplegia). * End stage liver disease. * Repeated ICU admission within same hospital admission and/or likely to have prolonged ICU stay with mechanical ventilation (\>21 days) * Pregnancy.

Design outcomes

Primary

MeasureTime frameDescription
Duration of mechanical ventilationUntil the date of discharge from ICU, up to 12 months.Defined as the time from the start of mechanical ventilation, defined as either the time of intubation in the ICU (or the time of admission to the ICU following previous intubation for surgery) and until successful extubation, with successful extubation defined as ≥48 hours of unassisted spontaneous breathing after extubation.

Secondary

MeasureTime frameDescription
Number of changes in ventilator settings per dayUntil the date of discharge from ICU, up to 12 months.Defined as the daily registered number of changes to ventilator settings from patient randomization until successful extubation.
Time to first spontaneous breathing test (SBT)Until the date of discharge from ICU, up to 12 months.Defined as the time from randomization to the first performed SBT.
Time to first successful SBTUntil the date of discharge from ICU, up to 12 months.Defined as the time from randomization to the first successful SBT.
Duration of mechanical ventilation following randomisationUntil the date of discharge from ICU, up to 12 months.Defined as the time from randomisation and until successful extubation, with successful extubation defined as ≥48 hours of unassisted spontaneous breathing after extubation.
Time from control mode to support modeUntil the date of discharge from ICU, up to 12 months.Defined as the time following randomisation, from initiation of control modes of ventilation and until initiation of support modes of ventilation.
Time from support mode to successful extubationUntil the date of discharge from ICU, up to 12 months.Defined as the time following randomisation, from initiation of support modes of ventilation and until successful extubation.
Time to first extubationUntil the date of discharge from ICU, up to 12 months.Defined as the time from randomization to the first extubation attempt.
% of time in control mode ventilationUntil the date of discharge from ICU, up to 12 months.Defined as the time from randomization spent in controlled modes of mechanical ventilation in percent of duration of mechanical ventilation
% of time in support mode ventilationUntil the date of discharge from ICU, up to 12 months.Defined as the time from randomisation which is spent in support modes of mechanical ventilation in percent of duration of mechanical ventilation
Time to first period trachemaskUntil the date of discharge from ICU, up to 12 months.Defined as the time of randomisation to the point of trachemask initiation.
Use of neuromuscular blockading agentsUntil the date of discharge from ICU, up to 12 months.Defined as the cumulative use of neuromuscular blockading agents from randomization until successful extubation.
Use of sedativesUntil the date of discharge from ICU, up to 12 months.Defined as the cumulative use of sedative drugs from randomization until successful extubation.
Number of intubation free daysUntil the date of discharge from ICU, up to 12 months.Defined as the number of days without intubation from randomization until successful extubation.
Number of reintubationsUntil the date of discharge from ICU, up to 12 months.Defined as the number of reintubations following extubation from randomization until successful extubation.
Number of tracheostomiesUntil the date of discharge from ICU, up to 12 months.Defined as the number of patients having tracheostomy performed from randomization until successful extubation or protocol end.
Number of patients on prolonged mechanical ventilationUntil the date of discharge from ICU, up to 12 months.Defined as the number of patients on mechanical ventilation ongoing for more than 21 days after initial intubation.
Number and types of adverse events related to mechanical ventilationUntil the date of discharge from ICU, up to 12 months.Defined as the incidence of adverse events directly related to mechanical ventilation
Frequency of accepting Beacon care system adviceUntil the date of discharge from ICU, up to 12 months.Number of times and the reasons the advice from the Beacon system is overridden and not accepted by a treating clinician.
ICU mortalityUntil the date of discharge from ICU, up to 12 months.defined as the mortality from randomization and until death or ICU discharge.
Hospital mortalityUntil the date of discharge from ICU, up to 12 months.defined as the mortality from randomization and until death or hospital discharge.
Length of ICU stayUntil the date of discharge from ICU, up to 12 months.defined as the duration of ICU admission from randomization to ICU discharge
Length of hospital stayUntil the date of discharge from hospital, up to 12 months.defined as the duration of hospital admission from randomization to hospital discharge
Time to first mobilizationUntil the date of discharge from ICU, up to 12 months.Defined as the time from randomisation until first mobilization, e.g. sitting on the edge of the bed, standing up and marching on the spot
Time to independent mobilizationUntil the date of discharge from ICU, up to 12 months.Defined as the time from randomisation until regaining independency, e.g. able to drink/eat or comb hair.
Daily patient physiological blood gas statusUntil the date of discharge from ICU, up to 12 months.Defined as daily PaO2/FiO2 from randomization until successful extubation.
Changes in Oxygenation IndexUntil the date of discharge from ICU, up to 12 months.defined as daily averages of oxygenation index (Oxygen Index (OI) = (FiO2 x Mean Alveaolr Pressure x 100) / PaO2
Changes in anatomical dead space volumeUntil the date of discharge from ICU, up to 12 months.defined as daily changes in dead space volume as continuously measured by the Beacon system.
Changes in pulmonary shunt fractionUntil the date of discharge from ICU, up to 12 months.defined as daily changes in pulmonary shunt fraction as continuously measured by the Beacon system.
Changes in end-tidal end-tidal CO2 fraction (FE'CO2)Until the date of discharge from ICU, up to 12 months.defined as daily changes in end-tidal CO2 fraction as continuously measured by the Beacon system.
Changes in pulmonary mechanicsUntil the date of discharge from ICU, up to 12 months.defined as daily changes in respiratory system compliance as continuously measured by the Beacon system.
Changes in metabolismUntil the date of discharge from ICU, up to 12 months.defined as daily changes in resting energy expenditure as continuously measured by the Beacon system.
ICU/hospital lung imaging in relation to prolonged ventilationUntil the date of discharge from hospital, up to 12 months.e.g. chest CT injury indices.
Timed-up-and-go at day 10 (or first mobilisation) and ICU/Hospital DischargeUntil the date of discharge from hospital, up to 12 months.Timed-up-and-go at day 10 (or first mobilisation) and ICU/Hospital Discharge
Sit to stand at day 10 (or first mobilisation) and ICU/Hospital DischargeUntil the date of discharge from hospital, up to 12 months.Sit to stand at day 10 (or first mobilisation) and ICU/Hospital Discharge
Chelsea Critical Care Physiotherapy Assessment score (CPAx) trajectoryUntil the date of discharge from hospital, up to 12 months.Chelsea Critical Care Physiotherapy Assessment score (CPAx) trajectory (performed every 72 hours)
Barthel index at hospital dischargeUntil the date of discharge from hospital, up to 12 months.Barthel index at hospital discharge
3-month +/- 6-month +/- 1-year ICU follow-up lung imaging and function in relation to prolonged ventilationUntil the date of discharge from hospital, up to 24 months.ICU follow-up lung imaging and function in relation to prolonged ventilation (as per current clinical protocol i.e. if clinically indicated, which may include pulmonary function tests, CT imaging).
Sf-36 Health Related Quality of life (patient and carers)Until one year after hospital discharge, up to 24 months.-Sf-36 Health Related Quality of life (patient and carers)
EQ-5D-5LUntil one year after hospital discharge, up to 24 months.EQ-5D-5L
St George's Respiratory QuestionnaireUntil one year after hospital discharge, up to 24 months.St George's Respiratory Questionnaire
6-minute walk test at hospital dischargeUntil the date of discharge from hospital, up to 12 months.6-minute walk test at hospital discharge
PTSS-14Until one year after hospital discharge, up to 24 months.PTSS-14
Hospital Anxiety and Depression Scale (HADS)Until one year after hospital discharge, up to 24 months.Hospital Anxiety and Depression Scale (HADS)
Return to work rates e.g. W&SAS (patient and carers)Until one year after hospital discharge, up to 24 months.Return to work rates e.g. W&SAS (patient and carers)
Primary and Secondary care utilisationUntil one year after hospital discharge, up to 36 months.Primary and Secondary care utilisation
6-minute walk testUntil one year after hospital discharge, up to 24 months.6-minute walk test
mini Mental State examinationUntil one year after hospital discharge, up to 24 months.mini Mental State examination

Countries

United Kingdom

Contacts

Primary ContactBrijesh V Patel, MBBS MRCP FRCA FFICM PhD
brijesh.patel@imperial.ac.uk+44 (0)20 7352 8121
Backup ContactCliff Morgan, MBBS FRCA
c.morgan@rbht.nhs.uk+44 (0)20 7352 8121

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026