Systematically assessed symptoms as outcome predictors in emergency patients - Bingisser, R.; Dietrich, M.; Nieves Ortega, R.; Malinovska, A.; Bosia, T.; Nickel, C. H. (Eur J Intern Med, 2017)
INTRODUCTION: It is known that symptoms are predictive of mortality in "nonsurgical" emergency patients. It is unknown whether a prospective, systematic, and "unscreened" assessment of all symptoms is of any prognostic value. Therefore, we aimed to examine the association between symptoms and outcomes in an all-comer population. METHODS: Data were acquired during 6weeks at the ED of the University Hospital Basel, a tertiary hospital. Consecutive patients presenting to the ED were included. Symptoms at presentation were systematically assessed using a comprehensive questionnaire. RESULTS: A consecutive sample of 3960 emergency patients with a median age of 51years (51.7% male) was studied. The median number of symptoms was two. In the group of patients with the most prevalent symptoms, the median number of symptoms ranged between two and five. Overall, hospitalisation rate was 31.2%, referral to intensive care was 5.5%, in-hospital-mortality was 1.4%, and one-year mortality was 5.8%. In-hospital mortality ranged from 0% to 4.3%, and one-year mortality from 0% to 14.4% depending on the presenting symptoms. Dyspnoea and weakness were significant predictors of one-year mortality (14.4% and 9.2%, respectively). DISCUSSION: Most emergency patients indicated two or more symptoms. Systematically assessed symptoms at presentation can be used for prediction of outcomes. While dyspnoea is a known predictor, weakness has not been identified as predictor of mortality before. This knowledge could be used to improve risk stratification- thereby reducing the risk of adverse outcomes.
Keywords: journalArticle; *Mortality; Adolescent; Adult; Aged; Aged, 80 and over; Dyspnea/epidemiology; Dyspnoea; Emergency Service, Hospital/*statistics & numerical data; Emergency medicine; Female; Hospitalization/*statistics & numerical data; Hospitals, University; Humans; Logistic Models; Male; Middle Aged; Mortality; Multivariate Analysis; Muscle Weakness/epidemiology; Outcome prediction; Prognosis; Prospective Studies; Severity of Illness Index; Switzerland; Symptom; Symptom Assessment/*statistics & numerical data; Weakness; Young Adult