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Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study

BACKGROUND: Intensive care unit (ICU) admission triage is performed routinely and is often based solely on clinical judgment, which could mask biases. A computerized algorithm to aid ICU triage decisions was developed to classify patients into the Society of Critical Care Medicine’s prioritization s...

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Autores principales: Ramos, Joao Gabriel Rosa, Perondi, Beatriz, Dias, Roger Daglius, Miranda, Leandro Costa, Cohen, Claudio, Carvalho, Carlos Roberto Ribeiro, Velasco, Irineu Tadeu, Forte, Daniel Neves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818478/
https://www.ncbi.nlm.nih.gov/pubmed/27036102
http://dx.doi.org/10.1186/s13054-016-1262-0
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author Ramos, Joao Gabriel Rosa
Perondi, Beatriz
Dias, Roger Daglius
Miranda, Leandro Costa
Cohen, Claudio
Carvalho, Carlos Roberto Ribeiro
Velasco, Irineu Tadeu
Forte, Daniel Neves
author_facet Ramos, Joao Gabriel Rosa
Perondi, Beatriz
Dias, Roger Daglius
Miranda, Leandro Costa
Cohen, Claudio
Carvalho, Carlos Roberto Ribeiro
Velasco, Irineu Tadeu
Forte, Daniel Neves
author_sort Ramos, Joao Gabriel Rosa
collection PubMed
description BACKGROUND: Intensive care unit (ICU) admission triage is performed routinely and is often based solely on clinical judgment, which could mask biases. A computerized algorithm to aid ICU triage decisions was developed to classify patients into the Society of Critical Care Medicine’s prioritization system. In this study, we sought to evaluate the reliability and validity of this algorithm. METHODS: Nine senior physicians evaluated forty clinical vignettes based on real patients. The reference standard was defined as the priorities ascribed by two investigators with full access to patients’ records. Agreement of algorithm-based priorities with the reference standard and with intuitive priorities provided by the physicians were evaluated. Correlations between algorithm prioritization and physicians’ judgment of the appropriateness of ICU admissions in scarcity and nonscarcity settings were also evaluated. Validity was further assessed by retrospectively applying this algorithm to 603 patients with requests for ICU admission for association with clinical outcomes. RESULTS: Agreement between algorithm-based priorities and the reference standard was substantial, with a median κ of 0.72 (interquartile range [IQR] 0.52–0.77). Algorithm-based priorities demonstrated higher interrater reliability (overall κ 0.61, 95 % confidence interval [CI] 0.57–0.65; median percentage agreement 0.64, IQR 0.59–0.70) than physicians’ intuitive prioritization (overall κ 0.51, 95 % CI 0.47–0.55; median percentage agreement 0.49, IQR 0.44–0.56) (p = 0.001). Algorithm-based priorities were also associated with physicians’ judgment of appropriateness of ICU admission (priorities 1, 2, 3, and 4 vignettes would be admitted to the last ICU bed in 83.7 %, 61.2 %, 45.2 %, and 16.8 % of the scenarios, respectively; p < 0.001) and with actual ICU admission, palliative care consultation, and hospital mortality in the retrospective cohort. CONCLUSIONS: This ICU admission triage algorithm demonstrated good reliability and validity. However, more studies are needed to evaluate a difference in benefit of ICU admission justifying the admission of one priority stratum over the others. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13054-016-1262-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-48184782016-04-03 Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study Ramos, Joao Gabriel Rosa Perondi, Beatriz Dias, Roger Daglius Miranda, Leandro Costa Cohen, Claudio Carvalho, Carlos Roberto Ribeiro Velasco, Irineu Tadeu Forte, Daniel Neves Crit Care Research BACKGROUND: Intensive care unit (ICU) admission triage is performed routinely and is often based solely on clinical judgment, which could mask biases. A computerized algorithm to aid ICU triage decisions was developed to classify patients into the Society of Critical Care Medicine’s prioritization system. In this study, we sought to evaluate the reliability and validity of this algorithm. METHODS: Nine senior physicians evaluated forty clinical vignettes based on real patients. The reference standard was defined as the priorities ascribed by two investigators with full access to patients’ records. Agreement of algorithm-based priorities with the reference standard and with intuitive priorities provided by the physicians were evaluated. Correlations between algorithm prioritization and physicians’ judgment of the appropriateness of ICU admissions in scarcity and nonscarcity settings were also evaluated. Validity was further assessed by retrospectively applying this algorithm to 603 patients with requests for ICU admission for association with clinical outcomes. RESULTS: Agreement between algorithm-based priorities and the reference standard was substantial, with a median κ of 0.72 (interquartile range [IQR] 0.52–0.77). Algorithm-based priorities demonstrated higher interrater reliability (overall κ 0.61, 95 % confidence interval [CI] 0.57–0.65; median percentage agreement 0.64, IQR 0.59–0.70) than physicians’ intuitive prioritization (overall κ 0.51, 95 % CI 0.47–0.55; median percentage agreement 0.49, IQR 0.44–0.56) (p = 0.001). Algorithm-based priorities were also associated with physicians’ judgment of appropriateness of ICU admission (priorities 1, 2, 3, and 4 vignettes would be admitted to the last ICU bed in 83.7 %, 61.2 %, 45.2 %, and 16.8 % of the scenarios, respectively; p < 0.001) and with actual ICU admission, palliative care consultation, and hospital mortality in the retrospective cohort. CONCLUSIONS: This ICU admission triage algorithm demonstrated good reliability and validity. However, more studies are needed to evaluate a difference in benefit of ICU admission justifying the admission of one priority stratum over the others. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13054-016-1262-0) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-02 2016 /pmc/articles/PMC4818478/ /pubmed/27036102 http://dx.doi.org/10.1186/s13054-016-1262-0 Text en © Ramos et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Ramos, Joao Gabriel Rosa
Perondi, Beatriz
Dias, Roger Daglius
Miranda, Leandro Costa
Cohen, Claudio
Carvalho, Carlos Roberto Ribeiro
Velasco, Irineu Tadeu
Forte, Daniel Neves
Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study
title Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study
title_full Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study
title_fullStr Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study
title_full_unstemmed Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study
title_short Development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study
title_sort development of an algorithm to aid triage decisions for intensive care unit admission: a clinical vignette and retrospective cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818478/
https://www.ncbi.nlm.nih.gov/pubmed/27036102
http://dx.doi.org/10.1186/s13054-016-1262-0
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