Critical Illness, Gas Exchange Impairment, Haemodynamic Instability, Mechanical Ventilation Complication, Respiratory Distress Syndrome, Adult
Conditions
Keywords
mechanical ventilation, lung function, cardiopulmonary monitoring
Brief summary
This is a feasibility study of the use of a novel technique called 'Inspiwave' to measure heart and lung function in adult patients in critical care. The preliminary work has already been undertaken in animal models and in healthy volunteers. The ultimate aim of this study is to develop a clinical tool for measuring (and therefore being able to make treatment changes based on) indices of heart and lung function in critical care patients. This study is the first assessment of the technique in this population, and whilst we know it works in patients undergoing general anaesthesia, we now need to assess whether Inspiwave can be used at all in critical care patients who may have much more physiological derangement. The purpose of this phase of the research is to determine whether it is feasible to use Inspiwave in critical care. Inspiwave generates a sinusoidally modulated tracer gas signal in the inspired air. It also measures the resulting signal in the expired air. The unique handling of this signal by the patient can used be to derive key variables related to cardiopulmonary function such as lung volume, pulmonary blood flow, the deadspace (wasted ventilation) and the degree to which ventilation and blood flow are non-uniform. These are 'vital signs' in sick patients, yet are currently technically difficult to measure, particularly non-invasively.
Interventions
DEVICEInspiwave
patients are monitored with the Inspiwave device. A low dose inert tracer gas is added to the inspred air
Sponsors
University of Oxford
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* patients requiring mechanical ventilation in a critical care area
Exclusion criteria
* decision of participant not to be included * consultee declaration not to be included * Severely impaired gas exchange as declared by the managing clinician * oxygen requirement exceeding 90% FIO2
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Production of any numerical values of effective lung volume and pulmonary blood flow | Sept 2020 | We wish to know whether the technique can be applied, and whether the signal to noise ratio allows computation of the variables of interest. It is yet unclear whether or not the device can operate in a critical care environment. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Comparison of measurements of effective lung volume and pulmonary blood flow under changes in observed clinical condition. | Sept 2020 | To observe if changes in clinical condition can be detected by the device. |
| Signal:noise ratio of measured data. | Sept 2020 | If values for effective lung volume and pulmonary blood flow can be produced, are these with adequate signal:noise ratio to allow inverse modelling. |
Countries
United Kingdom
Contacts
Primary ContactAndrew D Farmery, MD
Backup ContactHeather House
Outcome results
None listed