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DC Field | Value | Language |
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dc.contributor.author | Raith, Eamon P | - |
dc.contributor.author | Udy, Andrew A | - |
dc.contributor.author | Bailey, Michael | - |
dc.contributor.author | McGloughlin, Steven | - |
dc.contributor.author | MacIsaac, Christopher | - |
dc.contributor.author | Bellomo, Rinaldo | - |
dc.contributor.author | Pilcher, David V | - |
dc.contributor.author | Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcomes and Resource Evaluation (CORE) | - |
dc.date | 2017-01-17 | - |
dc.date.accessioned | 2017-03-19T23:12:46Z | - |
dc.date.available | 2017-03-19T23:12:46Z | - |
dc.date.issued | 2017-01-17 | - |
dc.identifier.citation | JAMA 2017; 317(3): 290-300 | en_US |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/16610 | - |
dc.description.abstract | IMPORTANCE: The Sepsis-3 Criteria emphasized the value of a change of 2 or more points in the Sequential [Sepsis-related] Organ Failure Assessment (SOFA) score, introduced quick SOFA (qSOFA), and removed the systemic inflammatory response syndrome (SIRS) criteria from the sepsis definition. OBJECTIVE: Externally validate and assess the discriminatory capacities of an increase in SOFA score by 2 or more points, 2 or more SIRS criteria, or a qSOFA score of 2 or more points for outcomes among patients who are critically ill with suspected infection. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort analysis of 184 875 patients with an infection-related primary admission diagnosis in 182 Australian and New Zealand intensive care units (ICUs) from 2000 through 2015. EXPOSURES: SOFA, qSOFA, and SIRS criteria applied to data collected within 24 hours of ICU admission. MAIN OUTCOMES AND MEASURES: The primary outcome was in-hospital mortality. In-hospital mortality or ICU length of stay (LOS) of 3 days or more was a composite secondary outcome. Discrimination was assessed using the area under the receiver operating characteristic curve (AUROC). Adjusted analyses were performed using a model of baseline risk determined using variables independent of the scoring systems. RESULTS: Among 184 875 patients (mean age, 62.9 years [SD, 17.4]; women, 82 540 [44.6%]; most common diagnosis bacterial pneumonia, 32 634 [17.7%]), a total of 34 578 patients (18.7%) died in the hospital, and 102 976 patients (55.7%) died or experienced an ICU LOS of 3 days or more. SOFA score increased by 2 or more points in 90.1%; 86.7% manifested 2 or more SIRS criteria, and 54.4% had a qSOFA score of 2 or more points. SOFA demonstrated significantly greater discrimination for in-hospital mortality (crude AUROC, 0.753 [99% CI, 0.750-0.757]) than SIRS criteria (crude AUROC, 0.589 [99% CI, 0.585-0.593]) or qSOFA (crude AUROC, 0.607 [99% CI, 0.603-0.611]). Incremental improvements were 0.164 (99% CI, 0.159-0.169) for SOFA vs SIRS criteria and 0.146 (99% CI, 0.142-0.151) for SOFA vs qSOFA (P <.001). SOFA (AUROC, 0.736 [99% CI, 0.733-0.739]) outperformed the other scores for the secondary end point (SIRS criteria: AUROC, 0.609 [99% CI, 0.606-0.612]; qSOFA: AUROC, 0.606 [99% CI, 0.602-0.609]). Incremental improvements were 0.127 (99% CI, 0.123-0.131) for SOFA vs SIRS criteria and 0.131 (99% CI, 0.127-0.134) for SOFA vs qSOFA (P <.001). Findings were consistent for both outcomes in multiple sensitivity analyses. CONCLUSIONS AND RELEVANCE: Among adults with suspected infection admitted to an ICU, an increase in SOFA score of 2 or more had greater prognostic accuracy for in-hospital mortality than SIRS criteria or the qSOFA score. These findings suggest that SIRS criteria and qSOFA may have limited utility for predicting mortality in an ICU setting. | en_US |
dc.subject | Hospital Mortality | en_US |
dc.subject | Intensive Care Units | en_US |
dc.subject | Organ Dysfunction Scores | en_US |
dc.subject | Sepsis | en_US |
dc.subject | Systemic Inflammatory Response Syndrome | en_US |
dc.title | Prognostic accuracy of the SOFA score, SIRS criteria, and qSOFA score for in-hospital mortality among adults with suspected infection admitted to the intensive care unit | en_US |
dc.type | Journal Article | en_US |
dc.identifier.journaltitle | JAMA | en_US |
dc.identifier.affiliation | Department of Intensive Care and Hyperbaric Medicine, Alfred Hospital, Prahran, Victoria, Australia | en_US |
dc.identifier.affiliation | Discipline of Surgery, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia | en_US |
dc.identifier.affiliation | Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, Prahran, Victoria, Australia | en_US |
dc.identifier.affiliation | Department of Infectious Diseases, Alfred Hospital, Prahran, Victoria, Australia | en_US |
dc.identifier.affiliation | Department of Intensive Care, Royal Melbourne Hospital, Parkville, Victoria, Australia | en_US |
dc.identifier.affiliation | University of Melbourne, Parkville, Victoria, Australia | en_US |
dc.identifier.affiliation | Intensive Care Unit, Austin Hospital, Heidelberg, Victoria, Australia | en_US |
dc.identifier.affiliation | Centre for Outcome and Resource Evaluation, Australian and New Zealand Intensive Care Society, Melbourne, Victoria, Australia | en_US |
dc.identifier.pubmeduri | https://pubmed.ncbi.nlm.nih.gov/28114553 | en_US |
dc.identifier.doi | 10.1001/jama.2016.20328 | en_US |
dc.type.content | Text | en_US |
dc.type.austin | Journal Article | en_US |
local.name.researcher | Bellomo, Rinaldo | |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.openairetype | Journal Article | - |
crisitem.author.dept | Intensive Care | - |
crisitem.author.dept | Data Analytics Research and Evaluation (DARE) Centre | - |
Appears in Collections: | Journal articles |
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