Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Predicting sepsis using prehospital data from the ambulance service: A linked data cohort study

    Access Status
    Fulltext not available
    Authors
    Williams, Teresa
    Finn, Judith
    Fatovich, D.
    Tohira, Hideo
    Brink, D.
    Perkins, G.
    Ho, K.
    Date
    2016
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Williams, T. and Finn, J. and Fatovich, D. and Tohira, H. and Brink, D. and Perkins, G. and Ho, K. 2016. Predicting sepsis using prehospital data from the ambulance service: A linked data cohort study. Australian Critical Care. 29 (2): pp. 119-119.
    Source Title
    Australian Critical Care
    DOI
    10.1016/j.aucc.2015.12.024
    ISSN
    1036-7314
    School
    School of Nursing and Midwifery
    URI
    http://hdl.handle.net/20.500.11937/40080
    Collection
    • Curtin Research Publications
    Abstract

    Introduction: Early identification of sepsis may facilitate pre-alerting the emergency department (ED) enabling prompt initiation of antibiotics and source control. Whether sepsis can be reliably predicted using prehospital data recorded by paramedics remains uncertain. Study objectives: (1) To determine the predictive ability of prehospital factors to predict a subsequent diagnosis of sepsis; (2) To examine the ability of the New Early Warning Score (NEWS) to predict a subsequent diagnosis of sepsis. Methods: This retrospective cohort study linked the prehospital data of patients aged 16 years and older, transported by the metropolitan St John Ambulance Service in Perth, between July 2012 and June 2014, with data from the ED Information System. Air transports, inter-facility transfers, patients with cardiac arrest, trauma and overdoses were excluded. Apart from the predictive ability of each individual demographic and vital physiological variable, the ability of the National Early Warning Score (NEWS) to predict a subsequent diagnosis of sepsis was also assessed. NEWS is a composite score: scores of 5+ are predictive of increased risk of death or ICU admission. Logistic regression and area under the operating-receiving-operating characteristic curves (AUROC) were used to identify prehospital predictors of sepsis and their discriminatory power, respectively.Results: Of 92,362 patients included in the study, 4565 (4.9%) had a diagnosis of sepsis subsequently in ED. Significant prehospital factors associated with sepsis: OR (95% CI) per 1 unit increment were age 1.08 (1.02–1.03), temperature 2.38 (2.00–2.51), systolic blood pressure 0.98 (0.97–0.98), respiratory rate 0.97 (0.94–0.99), heart rate 1.01 (1.01–1.02), and AVPU (alert = 1/verbal = 2/pain = 3/unresponsive = 4) 1.27 (1.13–1.42). The NEWS in the prehospital setting only had a moderate ability to differentiate between patients with and without sepsis (AUROC 0.74, 95% CI 0.72–0.77) and this predictive ability was no better than individual physiological parameters alone. Conclusion: Sepsis cannot be reliably predicted using prehospital data recorded by paramedics.

    Related items

    Showing items related by title, author, creator and subject.

    • The ability of early warning scores (EWS) to detect critical illness in the prehospital setting: A systematic review
      Williams, Teresa; Tohira, Hideo; Finn, Judith; Perkins, G.; Ho, K. (2016)
      AIM: To examine whether early warning scores (EWS) can accurately predict critical illness in the prehospital setting and affect patient outcomes. METHODS: We searched bibliographic databases for comparative studies that ...
    • Discordant identification of pediatric severe sepsis by research and clinical definitions in the SPROUT international point prevalence study
      Weiss, S.; Fitzgerald, J.; Maffei, F.; Kane, J.; Rodriguez-Nunez, A.; Hsing, D.; Franzon, D.; Kee, S.; Bush, J.; Roy, J.; Thomas, N.; Nadkarni, V.; Fontela, P.; Tucci, M.; Dumistrascu, M.; Skippen, P.; Krahn, G.; Bezares, E.; Puig, G.; Puig-Ramos, A.; Garcia, R.; Villar, M.; Bigham, M.; Polanski, T.; Latifi, S.; Giebner, D.; Anthony, H.; Hume, J.; Galster, A.; Linnerud, L.; Sanders, R.; Hefley, G.; Madden, K.; Thompson, A.; Shein, S.; Gertz, S.; Han, Y.; Williams, Teresa; Hughes-Schalk, A.; Chandler, H.; Orioles, A.; Zielinski, E.; Doucette, A.; Orioles, A.; Zielinski, E.; Doucette, A.; Zebuhr, C.; Wilson, T.; Dimitriades, C.; Ascani, J.; Layburn, S.; Valley, S.; Markowitz, B.; Terry, J.; Morzov, R.; McInnes, A.; McArthur, J.; Woods, K.; Murkowski, K.; Spaeder, M.; Sharron, M.; Wheeler, D.; Beckman, E.; Frank, E.; Howard, K.; Carroll, C.; Nett, S.; Jarvis, D.; Patel, V.; Higgerson, R.; Christie, L.; Typpo, K.; Deschenes, J.; Kirby, A.; Uhl, T.; Rehder, K.; Cheifetz, I.; Wrenn, S.; Kypuros, K.; Ackerman, K.; Maffei, F.; Bloomquist, G.; Rizkalla, N.; Kimura, D.; Shah, S.; Tigges, C.; Su, F.; Barlow, C.; Michelson, K.; Wolfe, K.; Goodman, D.; Campbel, L.; Sorce, L.; Bysani, K.; Monjure, T.; Evans, M.; Totapally, B.; Chegondi, M.; Rodriguez, C.; Frazier, J. (2015)
      Introduction: Consensus criteria for pediatric severe sepsis have standardized enrollment for research studies. However, the extent to which critically ill children identified by consensus criteria reflect physician ...
    • Accuracy of International classification of diseases, 10th revision codes for identifying severe sepsis in patients admitted from the emergency department
      Ibrahim, I.; Jacobs, Ian; Web, S.; Finn, Judith (2012)
      Objective: To determine the accuracy of International classification of diseases, 10th revision, Australian modification (ICD-10-AM) codes in identifying severe sepsis in patients admitted from the emergency department ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.