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Mechanical ventilation (MV) is a life-saving supportive therapy and one of the most common interventions implemented in intensive care.
To date, only the inspiratory phase of breathing has been extensively investigated, and new MV methods have been implemented to reduce its harmful effects. Despite this, lung injury still occurs and propagates, causing multiorgan failure and patient deaths. The expiratory phase is considered unharmful and is not monitored or assisted during MV. In animal experiments, we recently showed that the loss of diaphragmatic contraction during expiration can harm the lungs during MV. During mechanical ventilation, the expiratory phase of breathing is completely disregarded. However, in all conditions that promote lung collapse, peripheral airways gradually compress and close throughout the expiration, potentially worsening lung injury.
This cyclical lung collapse and consequent air-trapping may have an impact on the Starling resistor mechanisms that regulate venous return from the brain, potentially affecting cerebral perfusion and intracranial pressure.
This study will investigate the incidence and the consequences of an uncontrolled expiration and expiratory lung collapse in spontaneously breathing critically ill neurosurgical patients during mechanical ventilation.
Electrical impedance tomography measurements , oesophagus and gastric pressure, electrical activity of the diaphragm and intracranial pressure will be acquired in a synchronised manner during controlled mechanical ventilation, on a daily bases during assisted mechanical ventilation.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Mechanically ventilated neurosurgical patients | Observational study in mechanically ventilated neurosurgical patients |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Mechanically ventilated neurosurgical patients | Other | Observational study where respiratory variables and intracranial pressure will be measured during assisted mechanical ventilation. No intervention is planned. |
| Measure | Description | Time Frame |
|---|---|---|
| Incidence of uncontrolled expiration | The incidence of uncontrolled expiration and consequent expiratory lung collapse (determined by changes in expiratory flow and time constant) during assisted ventilation in neurosurgical patients. | during the period of assisted mechanical ventilation, an average of 14 days |
| Correlation between uncontrolled expiration and intracranial pressure | The influence of an uncontrolled expiration (defined by expiratory flow, expiratory EAdi and thoracic impedance) on intracranial pressure in neurosurgical patients. | During the period of assisted mechanical ventilation, an average of 14 days |
| Measure | Description | Time Frame |
|---|---|---|
| Intensive care unit (ICU) and hospital length of stay (LOS) | Correlation between lung collapse and LOS | At ICU/hospital discharge, an average of 30 days |
| Number of days of mechanical ventilation |
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Neurosurgical patients on mechanical ventilation and with ongoing intracerebral pressure monitoring will be included in the study
Inclusion Criteria:
Exclusion Criteria:
Relative contraindication: in case of skull base fracture the patient can be included only if oesophageal/gastric and NAVA catheters can be inserted orally.
Patients recruitment will be kept equally distributed between sexes.
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Critically ill adult patients affected by acute brain injury (e.g., subarachnoid hemorrhage, subdural hemorrhage, epidural hemorrhage, traumatic brain injury, intracerebral hemorrhage) admitted to the NICU of Uppsala. Consecutive patients will be prospectively screened for eligibility according to inclusion criteria
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Mariangela Pellegrini, MD, PhD | Contact | +460186110000 | mariangela.pellegrini@surgsci.uu.se |
| Name | Affiliation | Role |
|---|---|---|
| Mariangela Pellegrini, MD, PhD | Uppsala University Hospital, Uppsala University | Principal Investigator |
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blood gas analysis sampled daily shortly before respiratory mechanics data recording
Correlation between lung collapse and days of mechanical ventilation
| At ICU discharge, an average of 20 days |
| 90-days mortality from intensive care unit admission | Correlation between lung collapse and 90-days mortality | 90 days after hospital discharge |
| 30-day and 90-days neurological and functional outcomes | Correlation between lung collapse and 30-day and 90-days neurological and functional outcomes (Disability Rating Scale, clinical frailty score, Glasgow Outcome Scale) | 90 days after hospital discharge |