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Development and evaluation of an influenza pandemic intensive care unit triage protocol.

Identifieur interne : 000C08 ( PubMed/Corpus ); précédent : 000C07; suivant : 000C09

Development and evaluation of an influenza pandemic intensive care unit triage protocol.

Auteurs : Winston Cheung ; John Myburgh ; Ian M. Seppelt ; Michael J. Parr ; Nikki Blackwell ; Shannon Demonte ; Kalpesh Gandhi ; Larissa Hoyling ; Priya Nair ; Melissa Passer ; Claire Reynolds ; Nicholas M. Saunders ; Manoj K. Saxena ; Govindasamy Thanakrishnan

Source :

RBID : pubmed:22963212

English descriptors

Abstract

To develop an influenza pandemic ICU triage (iPIT) protocol that excludes patients with the highest and lowest predicted mortality rates, and to determine the increase in ICU bed availability that would result.

PubMed: 22963212

Links to Exploration step

pubmed:22963212

Le document en format XML

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<title xml:lang="en">Development and evaluation of an influenza pandemic intensive care unit triage protocol.</title>
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<name sortKey="Cheung, Winston" sort="Cheung, Winston" uniqKey="Cheung W" first="Winston" last="Cheung">Winston Cheung</name>
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<nlm:affiliation>Concord Repatriation General Hospital, Sydney, NSW, Australia. winston.cheung@sswahs.nsw.gov.au.</nlm:affiliation>
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<name sortKey="Myburgh, John" sort="Myburgh, John" uniqKey="Myburgh J" first="John" last="Myburgh">John Myburgh</name>
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<name sortKey="Seppelt, Ian M" sort="Seppelt, Ian M" uniqKey="Seppelt I" first="Ian M" last="Seppelt">Ian M. Seppelt</name>
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<name sortKey="Parr, Michael J" sort="Parr, Michael J" uniqKey="Parr M" first="Michael J" last="Parr">Michael J. Parr</name>
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<name sortKey="Blackwell, Nikki" sort="Blackwell, Nikki" uniqKey="Blackwell N" first="Nikki" last="Blackwell">Nikki Blackwell</name>
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<name sortKey="Demonte, Shannon" sort="Demonte, Shannon" uniqKey="Demonte S" first="Shannon" last="Demonte">Shannon Demonte</name>
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<name sortKey="Gandhi, Kalpesh" sort="Gandhi, Kalpesh" uniqKey="Gandhi K" first="Kalpesh" last="Gandhi">Kalpesh Gandhi</name>
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<name sortKey="Hoyling, Larissa" sort="Hoyling, Larissa" uniqKey="Hoyling L" first="Larissa" last="Hoyling">Larissa Hoyling</name>
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<name sortKey="Nair, Priya" sort="Nair, Priya" uniqKey="Nair P" first="Priya" last="Nair">Priya Nair</name>
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<name sortKey="Passer, Melissa" sort="Passer, Melissa" uniqKey="Passer M" first="Melissa" last="Passer">Melissa Passer</name>
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<name sortKey="Thanakrishnan, Govindasamy" sort="Thanakrishnan, Govindasamy" uniqKey="Thanakrishnan G" first="Govindasamy" last="Thanakrishnan">Govindasamy Thanakrishnan</name>
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<term>Intensive Care Units</term>
<term>New South Wales</term>
<term>Ontario</term>
<term>Pandemics</term>
<term>Triage</term>
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<term>Influenza, Human</term>
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<term>Influenza, Human</term>
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<term>Clinical Protocols</term>
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<div type="abstract" xml:lang="en">To develop an influenza pandemic ICU triage (iPIT) protocol that excludes patients with the highest and lowest predicted mortality rates, and to determine the increase in ICU bed availability that would result.</div>
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<AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">To develop an influenza pandemic ICU triage (iPIT) protocol that excludes patients with the highest and lowest predicted mortality rates, and to determine the increase in ICU bed availability that would result.</AbstractText>
<AbstractText Label="DESIGN AND SETTING" NlmCategory="METHODS">Post-hoc analysis of a study evaluating two triage protocols, designed to determine which patients should be excluded from access to ICU resources during an influenza pandemic. ICU mortality rates were determined for the individual triage criteria in the protocols and included criteria based on the Sequential Organ Failure Assessment (SOFA) score. Criteria resulting in mortality rates outside the 25th and 75th percentiles were used as exclusion criteria in a new iPIT-1 protocol. The SOFA threshold component was modified further and reported as iPIT-2 and iPIT-3.</AbstractText>
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<AbstractText Label="RESULTS" NlmCategory="RESULTS">The 25th and 75th percentiles for ICU mortality were 8.3% and 35.2%, respectively. Applying the iPIT-1 protocol resulted in an increase in ICU bed availability at admission of 71.7% ± 0.6%. Decreasing the lower SOFA score exclusion criteria to ≤6 (iPIT-2) and ≤4 (iPIT-3) resulted in an increase in ICU bed availability at admission of 66.9% ± 0.6% and 59.4 ± 0.7%, respectively (P < 0.001).</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">The iPIT protocol excludes patients with the lowest and highest ICU mortality, and provides increases in ICU bed availability. Adjusting the lower SOFA score exclusion limit provides a method of escalation or de- escalation to cope with demand.</AbstractText>
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