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Risk assessment models for potential use in the emergency department have lower predictive ability in older patients compared to the middle-aged for short-term mortality – a retrospective cohort study

BACKGROUND: Older patients is a complex group at increased risk of adverse outcomes compared to younger patients, which should be considered in the risk assessment performed in emergency departments. We evaluated whether the predictive ability of different risk assessment models for acutely admitted...

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Autores principales: Schultz, Martin, Rasmussen, Line Jee Hartmann, Carlson, Nicolas, Hasselbalch, Rasmus Bo, Jensen, Birgitte Nybo, Usinger, Lotte, Eugen-Olsen, Jesper, Torp-Pedersen, Christian, Rasmussen, Lars Simon, Iversen, Kasper Karmark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6521424/
https://www.ncbi.nlm.nih.gov/pubmed/31096925
http://dx.doi.org/10.1186/s12877-019-1154-7
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author Schultz, Martin
Rasmussen, Line Jee Hartmann
Carlson, Nicolas
Hasselbalch, Rasmus Bo
Jensen, Birgitte Nybo
Usinger, Lotte
Eugen-Olsen, Jesper
Torp-Pedersen, Christian
Rasmussen, Lars Simon
Iversen, Kasper Karmark
author_facet Schultz, Martin
Rasmussen, Line Jee Hartmann
Carlson, Nicolas
Hasselbalch, Rasmus Bo
Jensen, Birgitte Nybo
Usinger, Lotte
Eugen-Olsen, Jesper
Torp-Pedersen, Christian
Rasmussen, Lars Simon
Iversen, Kasper Karmark
author_sort Schultz, Martin
collection PubMed
description BACKGROUND: Older patients is a complex group at increased risk of adverse outcomes compared to younger patients, which should be considered in the risk assessment performed in emergency departments. We evaluated whether the predictive ability of different risk assessment models for acutely admitted patients is affected by age. METHODS: Cohort study of middle-aged and older patients. We investigated the accuracy in discriminating between survivors and non-survivors within 7 days of different risk assessment models; a traditional triage algorithm, a triage algorithm with clinical assessment, vital signs, routine biomarkers, and the prognostic biomarker soluble urokinase plasminogen activator receptor (suPAR). RESULTS: The cohort included 22,653 (53.2%) middle-aged patients (age 40–69 years), and 19,889 (46.8%) older patients (aged 70+ years). Death within 7 days occurred in 139 patients (0.6%) in middle-aged patients and 596 (3.0%) of the older patients. The models based on vital signs and routine biomarkers had the highest area under the curve (AUC), and both were significantly better at discriminating 7-day mortality in middle-aged patients compared to older patients; AUC (95% CI): 0.88 (0.84–0.91), 0.75 (0.72–0.78), P < 0.01, and 0.86 (0.82–0.90), 0.76 (0.73–0.78), P < 0.001. In a subgroup of the total cohort (6.400 patients, 15.0%), the suPAR level was available. suPAR had the highest AUC of all individual predictors with no significant difference between the age groups, but further research in this biomarker is required before it can be used. CONCLUSION: The predictive value was lower in older patients compared to middle-aged patients for all investigated models. Vital signs or routine biomarkers constituted the best models for predicting 7-day mortality and were better than the traditional triage model. Hence, the current risk assessment for short-term mortality can be strengthened, but modifications for age should be considered when constructing new risk assessment models in the emergency department. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-019-1154-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-65214242019-05-23 Risk assessment models for potential use in the emergency department have lower predictive ability in older patients compared to the middle-aged for short-term mortality – a retrospective cohort study Schultz, Martin Rasmussen, Line Jee Hartmann Carlson, Nicolas Hasselbalch, Rasmus Bo Jensen, Birgitte Nybo Usinger, Lotte Eugen-Olsen, Jesper Torp-Pedersen, Christian Rasmussen, Lars Simon Iversen, Kasper Karmark BMC Geriatr Research Article BACKGROUND: Older patients is a complex group at increased risk of adverse outcomes compared to younger patients, which should be considered in the risk assessment performed in emergency departments. We evaluated whether the predictive ability of different risk assessment models for acutely admitted patients is affected by age. METHODS: Cohort study of middle-aged and older patients. We investigated the accuracy in discriminating between survivors and non-survivors within 7 days of different risk assessment models; a traditional triage algorithm, a triage algorithm with clinical assessment, vital signs, routine biomarkers, and the prognostic biomarker soluble urokinase plasminogen activator receptor (suPAR). RESULTS: The cohort included 22,653 (53.2%) middle-aged patients (age 40–69 years), and 19,889 (46.8%) older patients (aged 70+ years). Death within 7 days occurred in 139 patients (0.6%) in middle-aged patients and 596 (3.0%) of the older patients. The models based on vital signs and routine biomarkers had the highest area under the curve (AUC), and both were significantly better at discriminating 7-day mortality in middle-aged patients compared to older patients; AUC (95% CI): 0.88 (0.84–0.91), 0.75 (0.72–0.78), P < 0.01, and 0.86 (0.82–0.90), 0.76 (0.73–0.78), P < 0.001. In a subgroup of the total cohort (6.400 patients, 15.0%), the suPAR level was available. suPAR had the highest AUC of all individual predictors with no significant difference between the age groups, but further research in this biomarker is required before it can be used. CONCLUSION: The predictive value was lower in older patients compared to middle-aged patients for all investigated models. Vital signs or routine biomarkers constituted the best models for predicting 7-day mortality and were better than the traditional triage model. Hence, the current risk assessment for short-term mortality can be strengthened, but modifications for age should be considered when constructing new risk assessment models in the emergency department. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-019-1154-7) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-16 /pmc/articles/PMC6521424/ /pubmed/31096925 http://dx.doi.org/10.1186/s12877-019-1154-7 Text en © The Author(s). 2019 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 Article
Schultz, Martin
Rasmussen, Line Jee Hartmann
Carlson, Nicolas
Hasselbalch, Rasmus Bo
Jensen, Birgitte Nybo
Usinger, Lotte
Eugen-Olsen, Jesper
Torp-Pedersen, Christian
Rasmussen, Lars Simon
Iversen, Kasper Karmark
Risk assessment models for potential use in the emergency department have lower predictive ability in older patients compared to the middle-aged for short-term mortality – a retrospective cohort study
title Risk assessment models for potential use in the emergency department have lower predictive ability in older patients compared to the middle-aged for short-term mortality – a retrospective cohort study
title_full Risk assessment models for potential use in the emergency department have lower predictive ability in older patients compared to the middle-aged for short-term mortality – a retrospective cohort study
title_fullStr Risk assessment models for potential use in the emergency department have lower predictive ability in older patients compared to the middle-aged for short-term mortality – a retrospective cohort study
title_full_unstemmed Risk assessment models for potential use in the emergency department have lower predictive ability in older patients compared to the middle-aged for short-term mortality – a retrospective cohort study
title_short Risk assessment models for potential use in the emergency department have lower predictive ability in older patients compared to the middle-aged for short-term mortality – a retrospective cohort study
title_sort risk assessment models for potential use in the emergency department have lower predictive ability in older patients compared to the middle-aged for short-term mortality – a retrospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6521424/
https://www.ncbi.nlm.nih.gov/pubmed/31096925
http://dx.doi.org/10.1186/s12877-019-1154-7
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