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A Risk Score to Predict Short-term Outcomes Following Emergency Department Discharge

INTRODUCTION: The emergency department (ED) is an inherently high-risk setting. Risk scores can help practitioners understand the risk of ED patients for developing poor outcomes after discharge. Our objective was to develop two risk scores that predict either general inpatient admission or death/in...

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Autores principales: Gabayan, Gelareh Z., Gould, Michael K., Weiss, Robert E., Chiu, Vicki Y., Sarkisian, Catherine A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Department of Emergency Medicine, University of California, Irvine School of Medicine 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123082/
https://www.ncbi.nlm.nih.gov/pubmed/30202497
http://dx.doi.org/10.5811/westjem.2018.7.37945
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author Gabayan, Gelareh Z.
Gould, Michael K.
Weiss, Robert E.
Chiu, Vicki Y.
Sarkisian, Catherine A.
author_facet Gabayan, Gelareh Z.
Gould, Michael K.
Weiss, Robert E.
Chiu, Vicki Y.
Sarkisian, Catherine A.
author_sort Gabayan, Gelareh Z.
collection PubMed
description INTRODUCTION: The emergency department (ED) is an inherently high-risk setting. Risk scores can help practitioners understand the risk of ED patients for developing poor outcomes after discharge. Our objective was to develop two risk scores that predict either general inpatient admission or death/intensive care unit (ICU) admission within seven days of ED discharge. METHODS: We conducted a retrospective cohort study of patients age > 65 years using clinical data from a regional, integrated health system for years 2009–2010 to create risk scores to predict two outcomes, a general inpatient admission or death/ICU admission. We used logistic regression to predict the two outcomes based on age, body mass index, vital signs, Charlson comorbidity index (CCI), ED length of stay (LOS), and prior inpatient admission. RESULTS: Of 104,025 ED visit discharges, 4,638 (4.5%) experienced a general inpatient admission and 531 (0.5%) death or ICU admission within seven days of discharge. Risk factors with the greatest point value for either outcome were high CCI score and a prolonged ED LOS. The C-statistic was 0.68 and 0.76 for the two models. CONCLUSION: Risk scores were successfully created for both outcomes from an integrated health system, inpatient admission or death/ICU admission. Patients who accrued the highest number of points and greatest risk present to the ED with a high number of comorbidities and require prolonged ED evaluations.
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spelling pubmed-61230822018-09-10 A Risk Score to Predict Short-term Outcomes Following Emergency Department Discharge Gabayan, Gelareh Z. Gould, Michael K. Weiss, Robert E. Chiu, Vicki Y. Sarkisian, Catherine A. West J Emerg Med Health Outcomes INTRODUCTION: The emergency department (ED) is an inherently high-risk setting. Risk scores can help practitioners understand the risk of ED patients for developing poor outcomes after discharge. Our objective was to develop two risk scores that predict either general inpatient admission or death/intensive care unit (ICU) admission within seven days of ED discharge. METHODS: We conducted a retrospective cohort study of patients age > 65 years using clinical data from a regional, integrated health system for years 2009–2010 to create risk scores to predict two outcomes, a general inpatient admission or death/ICU admission. We used logistic regression to predict the two outcomes based on age, body mass index, vital signs, Charlson comorbidity index (CCI), ED length of stay (LOS), and prior inpatient admission. RESULTS: Of 104,025 ED visit discharges, 4,638 (4.5%) experienced a general inpatient admission and 531 (0.5%) death or ICU admission within seven days of discharge. Risk factors with the greatest point value for either outcome were high CCI score and a prolonged ED LOS. The C-statistic was 0.68 and 0.76 for the two models. CONCLUSION: Risk scores were successfully created for both outcomes from an integrated health system, inpatient admission or death/ICU admission. Patients who accrued the highest number of points and greatest risk present to the ED with a high number of comorbidities and require prolonged ED evaluations. Department of Emergency Medicine, University of California, Irvine School of Medicine 2018-09 2018-08-13 /pmc/articles/PMC6123082/ /pubmed/30202497 http://dx.doi.org/10.5811/westjem.2018.7.37945 Text en Copyright: © 2018 Gabayan et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Health Outcomes
Gabayan, Gelareh Z.
Gould, Michael K.
Weiss, Robert E.
Chiu, Vicki Y.
Sarkisian, Catherine A.
A Risk Score to Predict Short-term Outcomes Following Emergency Department Discharge
title A Risk Score to Predict Short-term Outcomes Following Emergency Department Discharge
title_full A Risk Score to Predict Short-term Outcomes Following Emergency Department Discharge
title_fullStr A Risk Score to Predict Short-term Outcomes Following Emergency Department Discharge
title_full_unstemmed A Risk Score to Predict Short-term Outcomes Following Emergency Department Discharge
title_short A Risk Score to Predict Short-term Outcomes Following Emergency Department Discharge
title_sort risk score to predict short-term outcomes following emergency department discharge
topic Health Outcomes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123082/
https://www.ncbi.nlm.nih.gov/pubmed/30202497
http://dx.doi.org/10.5811/westjem.2018.7.37945
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