Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/32702
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dc.contributor.authorJones, Daryl A-
dc.contributor.authorPound, Gemma-
dc.contributor.authorSerpa Neto, Ary-
dc.contributor.authorHodgson, Carol L-
dc.contributor.authorEastwood, Glenn M-
dc.contributor.authorBellomo, Rinaldo-
dc.date2023-
dc.date.accessioned2023-04-21T00:55:21Z-
dc.date.available2023-04-21T00:55:21Z-
dc.date.issued2023-11-
dc.identifier.citationAustralian Critical Care : official journal of the Confederation of Australian Critical Care Nurses 2023-11; 36(6)en_US
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/32702-
dc.description.abstractThe epidemiology and predictability of in-hospital cardiac arrests (IHCAs) in hospitals with established medical emergency teams (METs) is underinvestigated. We categorised IHCAs into three categories: "possible suboptimal end-of-life planning" (possible SELP), "potentially predictable", or "sudden and unexpected" using age, Charlson Comorbidity Index, place of residence, functional independence, along with documented vital signs, K+ and HCO3 in the period prior to the IHCA. We also described the differences in characteristics and outcomes amongst these three categories of IHCAs. This was a prospective observational study (1st July 2017 to 9th August 2018) of adult (18 years) IHCA patients in wards of seven Australian hospitals with well-established METs. Amongst 152 IHCA patients, 145 had complete data. The number (%) classified as possible SELP, potentially predictable, and sudden and unexpected IHCA was 50 (34.5%), 52 (35.8%), and 43 (29.7%), respectively. Amongst the 52 potentially predictable patients, six (11.5%) had missing vital signs in the preceding 6 hr, 18 (34.6%) breached MET criteria in the prior 24 hr but received no MET call, and 6 (11.5%) had a MET call but remained on the ward. Abnormal K+ and HCO3 was present in 15 of 51 (29.5%) and 13 of 51 (25.5%) of such patients, respectively. The 43 sudden and unexpected IHCA patients were mostly (97.6%) functionally independent and had the lowest median Charlson Comorbidity Index. In-hospital mortality for IHCAs classified as possible SELP, potentially predictable, and sudden and unexpected was 76.0%, 61.5%, and 44.2%, respectively (p = 0.007). Only four of 12 (33.3%) possible SELP survivors had a good functional outcome. In seven Australian hospitals with mature METs, only one-third of IHCAs were sudden and unexpected. Improving end-of-life care in elderly comorbid patients and enhancing the response to objective signs of deterioration may further reduce IHCAs in the Australian context.en_US
dc.language.isoeng-
dc.subjectClinical deteriorationen_US
dc.subjectEnd-of-life careen_US
dc.subjectIn-hospital cardiac arresten_US
dc.subjectMedical emergency teamen_US
dc.subjectRapid response systemen_US
dc.subjectRapid response teamen_US
dc.titleAntecedents to and outcomes for in-hospital cardiac arrests in Australian hospitals with mature medical emergency teams: A multicentre prospective observational study.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleAustralian Critical Care : official journal of the Confederation of Australian Critical Care Nursesen_US
dc.identifier.affiliationAustralian and New Zealand Intensive Care Research Centre (ANZIC-RC), School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.en_US
dc.identifier.affiliationIntensive Careen_US
dc.identifier.affiliationAustralian and New Zealand Intensive Care Research Centre (ANZIC-RC)en_US
dc.identifier.affiliationSchool of Public Health and Preventive Medicine, Monash University, Melbourne; Australiaen_US
dc.identifier.affiliationUniversity Melbourne University, Parkville, Melbourneen_US
dc.identifier.affiliationPhysiotherapy Department, St. Vincent’s Hospital, Melbourne, Australiaen_US
dc.identifier.affiliationPhysiotherapy Department, The Alfred Hospital, Melbourne, Australiaen_US
dc.identifier.affiliationData Analytics Research and Evaluation (DARE) Centreen_US
dc.identifier.affiliationDepartment of Critical Care, University of Melbourne, Melbourne, Australiaen_US
dc.identifier.affiliationThe Alfred, Melbourneen_US
dc.identifier.affiliationThe George Institute for Global Healthen_US
dc.identifier.affiliationCentre for Integrated Critical Care, Melbourne Universityen_US
dc.identifier.affiliationMonash Universityen_US
dc.identifier.affiliationCritical Care Medicine, University of New South Walesen_US
dc.identifier.affiliationHoward Florey Institute of Physiologyen_US
dc.identifier.affiliationANZ Intensive Care Research Centreen_US
dc.identifier.affiliationRoyal Melbourne Hospitalen_US
dc.identifier.affiliationWarringal Private Hospitalen_US
dc.identifier.doi10.1016/j.aucc.2023.01.011en_US
dc.type.contentTexten_US
dc.identifier.orcid0000-0002-6446-3595en_US
dc.identifier.orcid0000-0003-1520-9387en_US
dc.identifier.orcid0000-0002-1650-8939en_US
dc.identifier.pubmedid37059632-
local.name.researcherBellomo, Rinaldo-
item.grantfulltextnone-
item.openairetypeJournal Article-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptIntensive Care-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
crisitem.author.deptIntensive Care-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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