Effects of Different Driving Pressure on Lung Stress, Strain and Mechanical Power in Patients With Moderate to Severe ARDS
NCT ID: NCT03616704
Last Updated: 2018-08-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
12 participants
OBSERVATIONAL
2017-12-01
2019-05-01
Brief Summary
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VILI is an important factor in the aggravation of lung injury during MV. The main mechanism of VILI is the unreasonable pressure change (stress) causing excessive local stretch of the lung (strain), which eventually exceeds the capacity of the lung.
The protective strategies during MV (limited platform pressure, low tidal volume, suitable PEEP) are important means of avoiding VILI during MV. The essences of these strategies are to limit the stress and strain of the lung during MV. However, these lung protective ventilation strategies only start from a single indicator and have certain limitations. Considering the various shortcoming of the current strategies, Amato et al. combined two indicators and proposed the concept of driving pressure(driving pressure=tidal volume/respiratory compliance). Several studies also confirmed that limiting the driving pressure can significantly improve patients' outcomes. But the concept of driving pressure and its safety threshold have certain limitations.
Taking into the limitations of existing low tidal volume, limited platform pressure, and restricted driving pressure strategies in lung protection ventilation, Gattinoni et al. first integrated the all factors such as driving pressure, respiratory rate, airway resistance, respiratory rate and PEEP together and the concept of mechanical power was formally proposed.There is a good correlation between mechanical power and lung strain in a certain PEEP range. Cressoni et al. demonstrated through animal experiments that excessive mechanical power during MV caused significant VILI in animals; Guérin et al. also found that mechanical power was closely related to patient outcome in patients with ARDS. Not only that, but Gattinoni reanalyzed Güldner's experimental data and found that mechanical power is more valuable in reflecting lung damage than driving pressure. Mechanical power is a good indicator of response to patient VILI.
Therefore, the investigators hypothesized that only limiting the driving pressure during MV of patients could not achieve ideal lung protective ventilation. Mechanical power may be a better indicator of response VILI; and the safety threshold of driving pressure based on retrospective analysis may not be suitable for patients with severe ARDS, and a lower driving pressure can protect patients with severe ARDS. This study intends to use a single-center, self-controlled study design to reflect lung injury through stress and strain and mechanical work of the lungs, to verify the safety of different driving pressures for severe ARDS, and to further find a safer driving margin for patients with severe ARDS
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
2. ICU hospitalization time is expected to be more than 24 hours
Exclusion Criteria
2. Severe respiratory central depression, high paraplegia, neuromuscular disease;
3. esophageal obstruction, perforation, severe upper gastrointestinal bleeding / surgery, hernia, thoracic deformity;
4. patients with severe bullae; 5. Patients with severe coagulopathy;
6, severe heart, liver, kidney and other organ failure, hemodynamic instability; 7, the skull base fractures; 8. Other clinical trials are underway;
18 Years
75 Years
ALL
No
Sponsors
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Jianfeng Xie
OTHER
Responsible Party
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Jianfeng Xie
physician, sponsor-investigator
Principal Investigators
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HAIBO QIU, professor
Role: STUDY_CHAIR
southeast university
Locations
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Zhongda Hospital
Nanjing, Jiangsu, China
Countries
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Central Contacts
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QIN SUN, DOC
Role: CONTACT
Facility Contacts
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Haibo Qiu, Prof
Role: primary
Other Identifiers
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2018ZDSYLL038-Y01
Identifier Type: -
Identifier Source: org_study_id
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