Early warning scores: the case for aggregate vs. single extreme parameter activation to detect patient deterioration

医学 预警系统 工程类 航空航天工程
作者
Mayur Murali,Matthew Inada-Kim
出处
期刊:Anaesthesia [Wiley]
卷期号:78 (7): 803-806 被引量:4
标识
DOI:10.1111/anae.16048
摘要

AnaesthesiaVolume 78, Issue 7 p. 803-806 Editorial Early warning scores: the case for aggregate vs. single extreme parameter activation to detect patient deterioration M. Murali, Corresponding Author M. Murali Registrar [email protected] orcid.org/0000-0002-2340-7810 @@MuraliMayur Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK Correspondence to: M. Murali Email: [email protected]Search for more papers by this authorM. Inada-Kim, M. Inada-Kim Professor @@mattinadakim Department of Acute Medicine, Royal Hampshire County Hospital, Hampshire Hospitals NHS Foundation Trust, Winchester, UK Department of Clinical and Experimental Sciences, University Hospitals Southampton NHS Foundation Trust, Southampton, UKSearch for more papers by this author M. Murali, Corresponding Author M. Murali Registrar [email protected] orcid.org/0000-0002-2340-7810 @@MuraliMayur Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK Correspondence to: M. Murali Email: [email protected]Search for more papers by this authorM. Inada-Kim, M. Inada-Kim Professor @@mattinadakim Department of Acute Medicine, Royal Hampshire County Hospital, Hampshire Hospitals NHS Foundation Trust, Winchester, UK Department of Clinical and Experimental Sciences, University Hospitals Southampton NHS Foundation Trust, Southampton, UKSearch for more papers by this author First published: 17 May 2023 https://doi.org/10.1111/anae.16048 1 Registrar, Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK 2 Professor, Department of Acute Medicine, Royal Hampshire County Hospital, Hampshire Hospitals NHS Foundation Trust, Winchester, UK 3 Professor, Department of Clinical and Experimental Sciences, University Hospitals Southampton NHS Foundation Trust, Southampton, UK This editorial accompanies an article by Kane et al., Anaesthesia 2023; 78: 830–839. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL References 1Inada-Kim M, Nsutebu E. NEWS 2: an opportunity to standardise the management of deterioration and sepsis. British Medical Journal 2018; 360: k1260. 2 Royal College of Physicians. National Early Warning Score (NEWS): Standardising the assessment of acute illness severity in the NHS. Report of a working party. 2012. https://www.rcplondon.ac.uk/file/32/download (accessed 02/05/2023). 3Smith GB, Prytherch DR, Meredith P, Schmidt PE, Featherstone PI. The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death. Resuscitation 2013; 84: 465– 70. 4Badriyah T, Briggs JS, Meredith P, et al. Decision-tree early warning score (DTEWS) validates the design of the National Early Warning Score (NEWS). Resuscitation 2014; 85: 418– 23. 5Farenden S, Gamble D, Welch J. Impact of implementation of the National Early Warning Score on patients and staff. British Journal of Hospital Medicine 2017; 78: 132– 6. 6Neary PM, Regan M, Joyce MJ, McAnena OJ, Callanan I. National early warning score (NEWS) – evaluation in surgery. International Journal of Health Care Quality Assurance 2015; 28: 245– 52. 7Drower D, McKeany R, Jogia P, Jull A. Evaluating the impact of implementing an early warning score system on incidence of in-hospital cardiac arrest. New Zealand Medical Journal 2013; 126: 26– 34. 8 Royal College of Physicians. National Early Warning Score (NEWS) 2: Standardising the assessment of acute-illness severity in the NHS. Updated report of a working party. 2017. https://www.rcplondon.ac.uk/file/8636/download (accessed 02/05/2023). 9 Royal College of Physicians. National Early Warning Score (NEWS) 2: Standardising the assessment of acute illness severity in the NHS. Additional Implementation Guidance. 2020. https://www.rcplondon.ac.uk/file/33516/download (accessed 02/05/2023). 10 Commissioning for Quality and Innovation (CQUIN) scheme for 2023/24. Annex: Indicator specifications. 2022. https://www.england.nhs.uk/wp-content/uploads/2022/12/CQUIN-scheme-for-2023-24-indicator-specifications-version-1.1.pdf (accessed 06/03/2023). 11Psirides A, Pedersen A. Proposal for a national New Zealand early warning score & vital signs chart. 2015. https://www.wellingtonicu.com/Data/NZEWS%20Proposal.pdf (accessed 02/05/2023). 12Churpek MM, Yuen TC, Park SY, Meltzer DO, Hall JB, Edelson DP. Derivation of a cardiac arrest prediction model using ward vital signs. Critical Care Medicine 2012; 40: 2102– 8. 13 Prince Charles Hospital. Modified Early Warning Score (MEWS), Escalation and ISBAR. 2010. https://www.safetyandquality.gov.au/sites/default/files/migrated/Prince-Charles-Hospital-procedure-MEWS-escalation-and-ISBAR.pdf (accessed 02/05/2023). 14Kyriacos U, Jelsma J, James M, Jordan S. Monitoring vital signs: development of a modified early warning scoring (MEWS) system for general wards in a developing country. PLoS One 2014; 9: e87073. 15Asiimwe SB, Abdallah A, Ssekitoleko R. A simple prognostic index based on admission vital signs data among patients with sepsis in a resource-limited setting. Critical Care 2015; 19: 86. 16Baker T, Blixt J, Lugazia E, et al. Single deranged physiologic parameters are associated with mortality in a low-income country. Critical Care Medicine 2015; 43: 2171– 9. 17Le Lagadec MD, Dwyer T, Browne M. The efficacy of twelve early warning systems for potential use in regional medical facilities in Queensland, Australia. Australian Critical Care 2020; 33: 47– 53. 18Gerry S, Bonnici T, Birks J, Kirtley S, Virdee PS, Watkinson PJ, Collins GS. Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology. British Medical Journal 2020; 369: m1501. 19Mohan C, Entezami P, John S, Hewitt J, Sylevych V, Psirides A. Comparison of the Aotearoa New Zealand Early Warning Score and National Early Warning Score to predict adverse inpatient events in a vital sign dataset. Anaesthesia 2023. Epub 29 March. https://doi.org/10.1111/anae.16007. 20Drake M, Austin G, Dann L, Li Y, Shuker C, Psirides A. Introduction of a standardised maternity early warning system: indicative data from a before-and-after study at a large pilot site before national rollout in Aotearoa New Zealand. Anaesthesia 2021; 76: 1600– 6. 21Jarvis S, Kovacs C, Briggs J, et al. Aggregate National Early Warning Score (NEWS) values are more important than high scores for a single vital signs parameter for discriminating the risk of adverse outcomes. Resuscitation 2015; 87: 75– 80. 22Alam N, Hobbelink EL, van Tienhoven AJ, van de Ven PM, Jansma EP, Nanayakkara PWB. The impact of the use of the Early Warning Score (EWS) on patient outcomes: a systematic review. Resuscitation 2014; 85: 587– 94. 23Kovacs C, Jarvis SW, Prytherch DR, Meredith P, Schmidt PE, Briggs JS, Smith GB. Comparison of the National Early Warning Score in non-elective medical and surgical patients. British Journal of Surgery 2016; 103: 1385– 93. Volume78, Issue7July 2023Pages 803-806 ReferencesRelatedInformation
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