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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

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...

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Detalles Bibliográficos
Autores principales: Merz, Tobias M, Etter, Reto, Mende, Ludger, Barthelmes, Daniel, Wiegand, Jan, Martinolli, Luca, Takala, Jukka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3222061/
https://www.ncbi.nlm.nih.gov/pubmed/21244659
http://dx.doi.org/10.1186/cc9972
Descripción
Sumario: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). 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.