Log in to save to my catalogue

Predicting in-hospital mortality from Coronavirus Disease 2019: A simple validated app for clinical...

Predicting in-hospital mortality from Coronavirus Disease 2019: A simple validated app for clinical...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2478022617

Predicting in-hospital mortality from Coronavirus Disease 2019: A simple validated app for clinical use

About this item

Full title

Predicting in-hospital mortality from Coronavirus Disease 2019: A simple validated app for clinical use

Publisher

United States: Public Library of Science

Journal title

PloS one, 2021-01, Vol.16 (1), p.e0245281-e0245281

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Validated tools for predicting individual in-hospital mortality of COVID-19 are lacking. We aimed to develop and to validate a simple clinical prediction rule for early identification of in-hospital mortality of patients with COVID-19.
We enrolled 2191 consecutive hospitalized patients with COVID-19 from three Italian dedicated units (derivation...

Alternative Titles

Full title

Predicting in-hospital mortality from Coronavirus Disease 2019: A simple validated app for clinical use

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2478022617

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2478022617

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0245281

How to access this item