ANALYSIS OF CLINICAL AND LABORATORY VARIABLES WITH PREDICTION CAPABILITY FOR INDICATION OF INVASIVE MECHANICAL VENTILATION IN PATIENTS WITH COVID-19
NCT ID: NCT05663528
Last Updated: 2024-01-30
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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COMPLETED
350 participants
OBSERVATIONAL
2023-03-01
2024-01-26
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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orotracheal intubation group
Composed of Patients who were intubated after 48 hours of admission to the intensive care unit
orotracheal intubation
Clinical and laboratory data will be collected from patients who are intubated after 48 hours of admission to the intensive care unit
non-intubated group
Composed of patients who were not intubated during their stay in the intensive care unit
No interventions assigned to this group
Interventions
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orotracheal intubation
Clinical and laboratory data will be collected from patients who are intubated after 48 hours of admission to the intensive care unit
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* The inclusion criteria will be individuals with confirmed diagnosis of COVID-19 by RT-PCR (reverse- transcriptase polymerase chain reaction), with minimum length of stay of 24 hours in the ICU and, patients who sign the free and clarified consent.
Exclusion Criteria:
* The exclusion criteria for participation in the study will be as follows: (1) patients under the age of 18; (2) patients with a negative laboratory test for COVID-19; (3) patients in need of emergency intubation; (4) patients who underwent previous endotracheal intubation at the same hospitalization.
18 Years
ALL
No
Sponsors
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Universidade Federal do Rio de Janeiro
OTHER
Responsible Party
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JOSE ROBERTO LAPA E SILVA
MD PhD
Locations
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Pedro Ernesto University Hospital
Rio de Janeiro, , Brazil
National Institute of Infectology Evandro Chagas
Rio de Janeiro, , Brazil
Clementino Fraga Filho University Hospital
Rio de Janeiro, , Brazil
Countries
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References
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Maia G, Martins CM, Marques V, Christovam S, Prado I, Moraes B, Rezoagli E, Foti G, Zambelli V, Cereda M, Berra L, Rocco PRM, Cruz MR, Samary CDS, Guimaraes FS, Silva PL. Derivation and external validation of predictive models for invasive mechanical ventilation in intensive care unit patients with COVID-19. Ann Intensive Care. 2024 Aug 21;14(1):129. doi: 10.1186/s13613-024-01357-4.
Other Identifiers
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100685
Identifier Type: -
Identifier Source: org_study_id
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