Your browser doesn't support javascript.
loading
Prognostic accuracy of triage tools for adults with suspected COVID-19 in a prehospital setting: an observational cohort study.
Marincowitz, Carl; Sutton, Laura; Stone, Tony; Pilbery, Richard; Campbell, Richard; Thomas, Benjamin; Turner, Janette; Bath, Peter A; Bell, Fiona; Biggs, Katie; Hasan, Madina; Hopfgartner, Frank; Mazumdar, Suvodeep; Petrie, Jennifer; Goodacre, Steve.
Afiliación
  • Marincowitz C; Centre for Urgent and Emergency Care Research (CURE), Health Services Research School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.
  • Sutton L; Clinical Trials Research Unit (CTRU), Health Services Research School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.
  • Stone T; Centre for Urgent and Emergency Care Research (CURE), Health Services Research School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.
  • Pilbery R; Yorkshire Ambulance Service NHS Trust, Wakefield, UK.
  • Campbell R; Centre for Urgent and Emergency Care Research (CURE), Health Services Research School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.
  • Thomas B; Clinical Trials Research Unit (CTRU), Health Services Research School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK b.d.thomas@sheffield.ac.uk.
  • Turner J; Centre for Urgent and Emergency Care Research (CURE), Health Services Research School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.
  • Bath PA; Centre for Urgent and Emergency Care Research (CURE), Health Services Research School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.
  • Bell F; Centre for Health Information Management Research (CHIMR) and Health Informatics Research Group, Information School, University of Sheffield, Sheffield, UK.
  • Biggs K; Yorkshire Ambulance Service NHS Trust, Wakefield, UK.
  • Hasan M; Clinical Trials Research Unit (CTRU), Health Services Research School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.
  • Hopfgartner F; Centre for Urgent and Emergency Care Research (CURE), Health Services Research School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.
  • Mazumdar S; Centre for Health Information Management Research (CHIMR) and Health Informatics Research Group, Information School, University of Sheffield, Sheffield, UK.
  • Petrie J; Centre for Health Information Management Research (CHIMR) and Health Informatics Research Group, Information School, University of Sheffield, Sheffield, UK.
  • Goodacre S; Clinical Trials Research Unit (CTRU), Health Services Research School of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.
Emerg Med J ; 39(4): 317-324, 2022 Apr.
Article en En | MEDLINE | ID: mdl-35140074
ABSTRACT

BACKGROUND:

Tools proposed to triage patient acuity in COVID-19 infection have only been validated in hospital populations. We estimated the accuracy of five risk-stratification tools recommended to predict severe illness and compared accuracy to existing clinical decision making in a prehospital setting.

METHODS:

An observational cohort study using linked ambulance service data for patients attended by Emergency Medical Service (EMS) crews in the Yorkshire and Humber region of England between 26 March 2020 and 25 June 2020 was conducted to assess performance of the Pandemic Respiratory Infection Emergency System Triage (PRIEST) tool, National Early Warning Score (NEWS2), WHO algorithm, CRB-65 and Pandemic Medical Early Warning Score (PMEWS) in patients with suspected COVID-19 infection. The primary outcome was death or need for organ support.

RESULTS:

Of the 7549 patients in our cohort, 17.6% (95% CI 16.8% to 18.5%) experienced the primary outcome. The NEWS2 (National Early Warning Score, version 2), PMEWS, PRIEST tool and WHO algorithm identified patients at risk of adverse outcomes with a high sensitivity (>0.95) and specificity ranging from 0.3 (NEWS2) to 0.41 (PRIEST tool). The high sensitivity of NEWS2 and PMEWS was achieved by using lower thresholds than previously recommended. On index assessment, 65% of patients were transported to hospital and EMS decision to transfer patients achieved a sensitivity of 0.84 (95% CI 0.83 to 0.85) and specificity of 0.39 (95% CI 0.39 to 0.40).

CONCLUSION:

Use of NEWS2, PMEWS, PRIEST tool and WHO algorithm could improve sensitivity of EMS triage of patients with suspected COVID-19 infection. Use of the PRIEST tool would improve sensitivity of triage without increasing the number of patients conveyed to hospital.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Servicios Médicos de Urgencia / COVID-19 Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: Emerg Med J Asunto de la revista: MEDICINA DE EMERGENCIA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Servicios Médicos de Urgencia / COVID-19 Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: Emerg Med J Asunto de la revista: MEDICINA DE EMERGENCIA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido