Literature DB >> 20923612

Evaluation of triage methods used to select patients with suspected pandemic influenza for hospital admission: cohort study.

S Goodacre1, K Challen, R Wilson, M Campbell.   

Abstract

BACKGROUND: Triage methods are necessary in emergency departments to provide clinicians with a reliable method for determining each patient's risk of adverse outcome. Prior to the 2009 H1N1 influenza pandemic the CURB-65 (a risk prediction score for pneumonia, based on confusion, urea level, respiratory rate, blood pressure and age over 65 years) pneumonia score and the Pandemic Modified Early Warning Score (PMEWS) were used to assess adults. In response to the emergence of the pandemic, national guidance produced a new swine flu hospital pathway for use adults and children. However, none of these methods had been widely validated or tested in the setting of pandemic influenza.
OBJECTIVES: To use the initial waves of the 2009 H1N1 pandemic to evaluate existing triage methods in patients presenting with suspected pandemic influenza, and to determine whether an improved triage method could be developed.
METHODS: A prospective cohort study was undertaken of patients with suspected swine flu presenting to four hospitals during the second wave of the 2009 H1N1 pandemic. Staff completed a standardised assessment form that included the CURB-65 score, PMEWS and the swine flu hospital pathway. Patients who died or required respiratory, cardiovascular or renal support during the 30-day follow-up were defined as having a poor outcome. Patients who survived to 30 days without requiring respiratory, cardiovascular or renal support were defined as having a good outcome.
RESULTS: Data were collected and analysed from 481 cases across three hospitals. Most of the cases were children, with 347 out of 481 (72%) aged 16 years or less. There were five poor outcomes: two deaths and three survivors who required respiratory support. The five patients with poor outcomes had CURB-65 scores of zero, one (three cases) and two, and PMEWS scores of one, five, six, seven and eight. The swine flu hospital pathway was positive in three out of five cases. The C-statistic for each method was CURB-65 0.78 [95% confidence interval (CI) 0.58 to 0.99], PMEWS 0.77 (95% CI 0.55 to 0.99) and the swine flu hospital pathway 0.70 (95% CI 0.45 to 0.96). Patients with a higher CURB-65 score were more likely to be admitted (p < 0.001): 25 out of 101 (25%) with a score of zero, 11 out of 24 (46%) with a score of one, 7 out of 8 (88%) with a score of two, and the patient with a score of three were admitted. Admitted patients had a higher mean PMEWS score (4.6 vs 2.0, p < 0.001). The C-statistics for CURB-65, PMEWS and the swine flu hospital pathway in adults in terms of discriminating between those admitted and discharged were 0.65 (95% CI 0.54 to 0.76), 0.76 (95% CI 0.66 to 0.86) and 0.62 (95% CI 0.51 to 0.72) respectively. LIMITATIONS: The 2009 H1N1 pandemic was much smaller and less severe than predicted and resulted in a lack of sufficient data.
CONCLUSIONS: Potential concerns were raised about the use of existing triage methods for patients with suspected pandemic influenza, as these methods may fail to discriminate between patients who will have an adverse outcome and those with a benign course. Clinicians in the study did not generally appear to admit or discharge on the basis of these methods, despite their recommended use. Further research is required to evaluate existing triage methods and develop new triage tools for suspected pandemic influenza.

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Year:  2010        PMID: 20923612     DOI: 10.3310/hta14460-03

Source DB:  PubMed          Journal:  Health Technol Assess        ISSN: 1366-5278            Impact factor:   4.014


  6 in total

1.  The utility of MEWS for predicting the mortality in the elderly adults with COVID-19: a retrospective cohort study with comparison to other predictive clinical scores.

Authors:  Lichun Wang; Qingquan Lv; Xiaofei Zhang; Binyan Jiang; Enhe Liu; Chaoxing Xiao; Xinyang Yu; Chunhua Yang; Lei Chen
Journal:  PeerJ       Date:  2020-09-28       Impact factor: 2.984

2.  Prognostic accuracy of emergency department triage tools for adults with suspected COVID-19: the PRIEST observational cohort study.

Authors:  Ben Thomas; Steve Goodacre; Ellen Lee; Laura Sutton; Matthew Bursnall; Amanda Loban; Simon Waterhouse; Richard Simmonds; Katie Biggs; Carl Marincowitz; José Schutter; Sarah Connelly; Elena Sheldon; Jamie Hall; Emma Young; Andrew Bentley; Kirsty Challen; Chris Fitzsimmons; Tim Harris; Fiona Lecky; Andrew Lee; Ian Maconochie; Darren Walter
Journal:  Emerg Med J       Date:  2021-06-03       Impact factor: 2.740

3.  Comparison of CATs, CURB-65 and PMEWS as triage tools in pandemic influenza admissions to UK hospitals: case control analysis using retrospective data.

Authors:  Puja R Myles; Jonathan S Nguyen-Van-Tam; Wei Shen Lim; Karl G Nicholson; Stephen J Brett; Joanne E Enstone; James McMenamin; Peter J M Openshaw; Robert C Read; Bruce L Taylor; Barbara Bannister; Malcolm G Semple
Journal:  PLoS One       Date:  2012-04-03       Impact factor: 3.240

4.  Selection of key recommendations for quality indicators describing good quality outbreak response.

Authors:  Evelien Belfroid; Jeannine L A Hautvast; Mirrian Hilbink; Aura Timen; Marlies E J L Hulscher
Journal:  BMC Infect Dis       Date:  2015-03-31       Impact factor: 3.090

5.  Virological and clinical characterization of respiratory infections in children attending an emergency department during the first autumn-winter circulation of pandemic A (H1N1) 2009 influenza virus.

Authors:  A Pierangeli; C Scagnolari; C Selvaggi; K Monteleone; S Verzaro; R Nenna; G Cangiano; C Moretti; P Papoff; G Antonelli; F Midulla
Journal:  Clin Microbiol Infect       Date:  2011-09-16       Impact factor: 8.067

6.  Accuracy of telephone triage for predicting adverse outcomes in suspected COVID-19: an observational cohort study.

Authors:  Carl Marincowitz; Tony Stone; Peter Bath; Richard Campbell; Janette Kay Turner; Madina Hasan; Richard Pilbery; Benjamin David Thomas; Laura Sutton; Fiona Bell; Katie Biggs; Frank Hopfgartner; Suvodeep Mazumdar; Jennifer Petrie; Steve Goodacre
Journal:  BMJ Qual Saf       Date:  2022-03-30       Impact factor: 7.035

  6 in total

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