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The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted b...

The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted b...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8a75651acb204769960903d1bfdce031

The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing

About this item

Full title

The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing

Publisher

London: BioMed Central Ltd

Journal title

Critical care (London, England), 2022-06, Vol.26 (1), p.1-188, Article 188

Language

English

Formats

Publication information

Publisher

London: BioMed Central Ltd

More information

Scope and Contents

Contents

Background Liberating patients from mechanical ventilation (MV) requires a systematic approach. In the context of a clinical trial, we developed a simple algorithm to identify patients who tolerate assisted ventilation but still require ongoing MV to be randomized. We report on the use of this algorithm to screen potential trial participants for en...

Alternative Titles

Full title

The PROMIZING trial enrollment algorithm for early identification of patients ready for unassisted breathing

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8a75651acb204769960903d1bfdce031

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8a75651acb204769960903d1bfdce031

Other Identifiers

ISSN

1364-8535

E-ISSN

1364-8535,1366-609X,1466-609X

DOI

10.1186/s13054-022-04063-4

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