Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/19521
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dc.contributor.authorCanet, Emmanuel-
dc.contributor.authorTaylor, David McD-
dc.contributor.authorKhor, Richard-
dc.contributor.authorKrishnan, Vivek-
dc.contributor.authorBellomo, Rinaldo-
dc.date2018-08-21-
dc.date.accessioned2018-09-25T23:00:21Z-
dc.date.available2018-09-25T23:00:21Z-
dc.date.issued2018-08-21-
dc.identifier.citationJournal of Critical Care 2018; 48: 118-123-
dc.identifier.urihttp://ahro.austin.org.au/austinjspui/handle/1/19521-
dc.description.abstractWe assessed the quick Sequential Organ Failure Assessment (qSOFA) score as a predictor of in-hospital mortality or prolonged ICU stay in Emergency Department (ED) patients with suspected infection. We measured qSOFA in a cohort of 11,205 ED patients with suspected infection. The primary outcome was in-hospital mortality and/or ICU stay ≥3 days. The qSOFA score was positive in 2429 (21.7%) patients. In-hospital mortality, and in-hospital mortality or ICU stay ≥3 days were 12.8% and 17.2% respectively for qSOFA positive patients vs 2.2% and 4.2% for qSOFA negative patients (p < .0001). For the prediction of in-hospital mortality, a positive qSOFA had a positive predictive value (PPV) of 13% (95% CI, 11-14) and a negative predictive value (NPV) of 98% (95% CI, 97-98). For the prediction of in-hospital mortality or ICU stay ≥3 days, the PPV and NPV of a positive qSOFA were 17% (95% CI, 16-19) and 96 (95% CI, 95-96), respectively. Among ED patients with suspected infection, a positive qSOFA identified those at much greater risk of mortality and longer ICU stay.-
dc.language.isoeng-
dc.subjectEmergency department-
dc.subjectInfection-
dc.subjectIntensive Care Unit-
dc.subjectMortality-
dc.subjectSepsis-
dc.subjectqSOFA-
dc.titleqSOFA as predictor of mortality and prolonged ICU admission in Emergency Department patients with suspected infection.-
dc.typeJournal Article-
dc.identifier.journaltitleJournal of Critical Care-
dc.identifier.affiliationMKM Health, South Yarra, Melbourne, Victoria, Australiaen
dc.identifier.affiliationDepartment of Intensive Care, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationOlivia Newton-John Cancer Wellness and Research Centre, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationDepartment of Radiation Oncology, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationSir Peter MacCallum Department of Oncology, Melbourne University, Victoria, Australiaen
dc.identifier.affiliationDepartment of Emergency Medicine, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationData Analytics Research and Evaluation (DARE) Centre, Austin Health and The University of Melbourne, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationSchool of Medicine, The University of Melbourne, Parkville, Melbourne, Victoria, Australiaen
dc.identifier.affiliationAustralian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australiaen
dc.identifier.doi10.1016/j.jcrc.2018.08.022-
dc.identifier.orcid0000-0002-1650-8939en
dc.identifier.orcid0000-0002-8986-9997en
dc.identifier.pubmedid30176527-
dc.type.austinJournal Article-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
crisitem.author.deptEmergency-
crisitem.author.deptClinical Haematology-
crisitem.author.deptOlivia Newton-John Cancer Wellness and Research Centre-
crisitem.author.deptRadiation Oncology-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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