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A web-based tool to predict acute kidney injury in patients with ST-elevation myocardial infarction:...

A web-based tool to predict acute kidney injury in patients with ST-elevation myocardial infarction:...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1924843746

A web-based tool to predict acute kidney injury in patients with ST-elevation myocardial infarction: Development, internal validation and comparison

About this item

Full title

A web-based tool to predict acute kidney injury in patients with ST-elevation myocardial infarction: Development, internal validation and comparison

Publisher

United States: Public Library of Science

Journal title

PloS one, 2017-07, Vol.12 (7), p.e0181658

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

In ST-elevation myocardial infarction (STEMI), acute kidney injury (AKI) may increase subsequent morbidity and mortality. Still, it remains difficult to predict AKI risk in these patients. We sought to 1) determine the frequency and clinical outcomes of AKI and, 2) develop, validate and compare a web-based tool for predicting AKI.
In a racially...

Alternative Titles

Full title

A web-based tool to predict acute kidney injury in patients with ST-elevation myocardial infarction: Development, internal validation and comparison

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1924843746

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1924843746

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0181658

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