Predictors of Respiratory Failure in SARS-Cov-2 Infection
NCT ID: NCT04316949
Last Updated: 2020-04-07
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
350 participants
OBSERVATIONAL
2020-03-20
2020-05-31
Brief Summary
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A risk stratification based on clinical, radiological and laboratory parameters seems necessary in order to better identify those patients who may need ICU admission and/or those who may benefit from a prompt antiviral therapy
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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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Derivation cohort
Derivation cohort: Italian retrospective cohort of all consecutive hospitalized patients with SARS-CoV-2 pneumonia in the participating centers, from February 20 to March 19 2020.
.
No interventions assigned to this group
Validation cohort
Validation cohort: European and non-European retrospective cohort of all consecutive hospitalized patients with SARS-CoV-2 pneumonia in the participating centers, from March 19 to April 18 2020.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Age \> 17 years
Exclusion Criteria
18 Years
99 Years
ALL
No
Sponsors
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University of Bologna
OTHER
Responsible Party
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Michele Bartoletti
Assistant Professor
Locations
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University of Bologna - Department of Medical and Surgical Sciences
Bologna, , Italy
Countries
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Facility Contacts
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References
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Bartoletti M, Giannella M, Scudeller L, Tedeschi S, Rinaldi M, Bussini L, Fornaro G, Pascale R, Pancaldi L, Pasquini Z, Trapani F, Badia L, Campoli C, Tadolini M, Attard L, Puoti M, Merli M, Mussini C, Menozzi M, Meschiari M, Codeluppi M, Barchiesi F, Cristini F, Saracino A, Licci A, Rapuano S, Tonetti T, Gaibani P, Ranieri VM, Viale P; PREDICO study group. Development and validation of a prediction model for severe respiratory failure in hospitalized patients with SARS-CoV-2 infection: a multicentre cohort study (PREDI-CO study). Clin Microbiol Infect. 2020 Nov;26(11):1545-1553. doi: 10.1016/j.cmi.2020.08.003. Epub 2020 Aug 8.
Other Identifiers
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PREDI-CO
Identifier Type: -
Identifier Source: org_study_id
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