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https://ahro.austin.org.au/austinjspui/handle/1/32702
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jones, Daryl A | - |
dc.contributor.author | Pound, Gemma | - |
dc.contributor.author | Serpa Neto, Ary | - |
dc.contributor.author | Hodgson, Carol L | - |
dc.contributor.author | Eastwood, Glenn M | - |
dc.contributor.author | Bellomo, Rinaldo | - |
dc.date | 2023 | - |
dc.date.accessioned | 2023-04-21T00:55:21Z | - |
dc.date.available | 2023-04-21T00:55:21Z | - |
dc.date.issued | 2023-11 | - |
dc.identifier.citation | Australian Critical Care : official journal of the Confederation of Australian Critical Care Nurses 2023-11; 36(6) | en_US |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/32702 | - |
dc.description.abstract | The 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.iso | eng | - |
dc.subject | Clinical deterioration | en_US |
dc.subject | End-of-life care | en_US |
dc.subject | In-hospital cardiac arrest | en_US |
dc.subject | Medical emergency team | en_US |
dc.subject | Rapid response system | en_US |
dc.subject | Rapid response team | en_US |
dc.title | Antecedents to and outcomes for in-hospital cardiac arrests in Australian hospitals with mature medical emergency teams: A multicentre prospective observational study. | en_US |
dc.type | Journal Article | en_US |
dc.identifier.journaltitle | Australian Critical Care : official journal of the Confederation of Australian Critical Care Nurses | en_US |
dc.identifier.affiliation | Australian and New Zealand Intensive Care Research Centre (ANZIC-RC), School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. | en_US |
dc.identifier.affiliation | Intensive Care | en_US |
dc.identifier.affiliation | Australian and New Zealand Intensive Care Research Centre (ANZIC-RC) | en_US |
dc.identifier.affiliation | School of Public Health and Preventive Medicine, Monash University, Melbourne; Australia | en_US |
dc.identifier.affiliation | University Melbourne University, Parkville, Melbourne | en_US |
dc.identifier.affiliation | Physiotherapy Department, St. Vincent’s Hospital, Melbourne, Australia | en_US |
dc.identifier.affiliation | Physiotherapy Department, The Alfred Hospital, Melbourne, Australia | en_US |
dc.identifier.affiliation | Data Analytics Research and Evaluation (DARE) Centre | en_US |
dc.identifier.affiliation | Department of Critical Care, University of Melbourne, Melbourne, Australia | en_US |
dc.identifier.affiliation | The Alfred, Melbourne | en_US |
dc.identifier.affiliation | The George Institute for Global Health | en_US |
dc.identifier.affiliation | Centre for Integrated Critical Care, Melbourne University | en_US |
dc.identifier.affiliation | Monash University | en_US |
dc.identifier.affiliation | Critical Care Medicine, University of New South Wales | en_US |
dc.identifier.affiliation | Howard Florey Institute of Physiology | en_US |
dc.identifier.affiliation | ANZ Intensive Care Research Centre | en_US |
dc.identifier.affiliation | Royal Melbourne Hospital | en_US |
dc.identifier.affiliation | Warringal Private Hospital | en_US |
dc.identifier.doi | 10.1016/j.aucc.2023.01.011 | en_US |
dc.type.content | Text | en_US |
dc.identifier.orcid | 0000-0002-6446-3595 | en_US |
dc.identifier.orcid | 0000-0003-1520-9387 | en_US |
dc.identifier.orcid | 0000-0002-1650-8939 | en_US |
dc.identifier.pubmedid | 37059632 | - |
local.name.researcher | Bellomo, Rinaldo | - |
item.grantfulltext | none | - |
item.openairetype | Journal Article | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Intensive Care | - |
crisitem.author.dept | Intensive Care | - |
crisitem.author.dept | Data Analytics Research and Evaluation (DARE) Centre | - |
crisitem.author.dept | Intensive Care | - |
crisitem.author.dept | Intensive Care | - |
crisitem.author.dept | Data Analytics Research and Evaluation (DARE) Centre | - |
Appears in Collections: | Journal articles |
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