Risk assessment in the first fifteen minutes: a prospective cohort study of a simple physiological scoring system in the emergency department
9 pages
English

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Risk assessment in the first fifteen minutes: a prospective cohort study of a simple physiological scoring system in the emergency department

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9 pages
English
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Description

The survival of patients admitted to an emergency department is determined by the severity of acute illness and the quality of care provided. The high number and the wide spectrum of severity of illness of admitted patients make an immediate assessment of all patients unrealistic. The aim of this study is to evaluate a scoring system based on readily available physiological parameters immediately after admission to an emergency department (ED) for the purpose of identification of at-risk patients. Methods This prospective observational cohort study includes 4,388 consecutive adult patients admitted via the ED of a 960-bed tertiary referral hospital over a period of six months. Occurrence of each of seven potential vital sign abnormalities (threat to airway, abnormal respiratory rate, oxygen saturation, systolic blood pressure, heart rate, low Glasgow Coma Scale and seizures) was collected and added up to generate the vital sign score (VSS). VSS initial was defined as the VSS in the first 15 minutes after admission, VSS max as the maximum VSS throughout the stay in ED. Occurrence of single vital sign abnormalities in the first 15 minutes and VSS initial and VSS max were evaluated as potential predictors of hospital mortality. Results Logistic regression analysis identified all evaluated single vital sign abnormalities except seizures and abnormal respiratory rate to be independent predictors of hospital mortality. Increasing VSS initial and VSS max were significantly correlated to hospital mortality (odds ratio (OR) 2.80, 95% confidence interval (CI) 2.50 to 3.14, P < 0.0001 for VSS initial ; OR 2.36, 95% CI 2.15 to 2.60, P < 0.0001 for VSS max ). The predictive power of VSS was highest if collected in the first 15 minutes after ED admission (log rank Chi-square 468.1, P < 0.0001 for VSS initial ;,log rank Chi square 361.5, P < 0.0001 for VSS max ). Conclusions Vital sign abnormalities and VSS collected in the first minutes after ED admission can identify patients at risk of an unfavourable outcome.

Informations

Publié par
Publié le 01 janvier 2011
Nombre de lectures 6
Langue English

Extrait

Merzet al.Critical Care2011,15:R25 http://ccforum.com/content/15/1/R25
R E S E A R C H
Open Access
Risk assessment in the first fifteen minutes: a prospective cohort study of a simple physiological scoring system in the emergency department 1* 1 1 1 1 2 1 Tobias M Merz , Reto Etter , Ludger Mende , Daniel Barthelmes , Jan Wiegand , Luca Martinolli , Jukka Takala
Abstract Introduction:The survival of patients admitted to an emergency department is determined by the severity of acute illness and the quality of care provided. The high number and the wide spectrum of severity of illness of admitted patients make an immediate assessment of all patients unrealistic. The aim of this study is to evaluate a scoring system based on readily available physiological parameters immediately after admission to an emergency department (ED) for the purpose of identification of atrisk patients. Methods:This prospective observational cohort study includes 4,388 consecutive adult patients admitted via the ED of a 960bed tertiary referral hospital over a period of six months. Occurrence of each of seven potential vital sign abnormalities (threat to airway, abnormal respiratory rate, oxygen saturation, systolic blood pressure, heart rate, low Glasgow Coma Scale and seizures) was collected and added up to generate the vital sign score (VSS). VSSinitial was defined as the VSS in the first 15 minutes after admission, VSSmaxas the maximum VSS throughout the stay in ED. Occurrence of single vital sign abnormalities in the first 15 minutes and VSSinitialand VSSmaxwere evaluated as potential predictors of hospital mortality. Results:Logistic regression analysis identified all evaluated single vital sign abnormalities except seizures and abnormal respiratory rate to be independent predictors of hospital mortality. Increasing VSSinitialand VSSmaxwere significantly correlated to hospital mortality (odds ratio (OR) 2.80, 95% confidence interval (CI) 2.50 to 3.14,P< 0.0001 for VSSinitial; OR 2.36, 95% CI 2.15 to 2.60,P< 0.0001 for VSSmax). The predictive power of VSS was highest if collected in the first 15 minutes after ED admission (log rank Chisquare 468.1,P< 0.0001 for VSSinitial;,log rank Chi square 361.5,P< 0.0001 for VSSmax). Conclusions:Vital sign abnormalities and VSS collected in the first minutes after ED admission can identify patients at risk of an unfavourable outcome.
Introduction The survival of patients admitted to an emergency depart ment is determined by the severity of acute illness at admission [1] and the level and quality of care provided [2,3]. The high number of admissions and the wide spec trum of severity of illness characteristic of large emergency departments make immediate assessment of all patients by an emergency physician unrealistic [4,5]. Various scoring systems have been proposed for identification of patients at risk of deterioration of vital organ functions in the
* Correspondence: tobias.merz@insel.ch 1 Department of Intensive Care Medicine, Bern University Hospital and University of Bern, Freiburgstrasse, 3010 Bern, Switzerland Full list of author information is available at the end of the article
emergency department [69]. Ideally, the first health care provider encountering the patient should be able to recog nize the need for urgent attention within minutes of emer gency department admission, without laboratory and radiological examinations or the presence of a specialized physician. Systematic checks for airway, breathing, circula tion and level of consciousness are included in resuscita tion and trauma guidelines [10,11], and for assessment of risk of deterioration of ward patients in medical emer gency team (MET) systems [1223]. We found in a recent retrospective study that the MET calling criteria were highly predictive of hospital outcome in patients admitted to intensive care from the emergency department [24]. Most emergency departments, including ours, do not
© 2011 Merz et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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