ABSTRACT
BACKGROUND: The selection of patients who are going to be admitted to an emergency department observation unit (EDOU) is essential for the good management of these units, intended fundamentally to avoid unnecessary hospitalization of patients. This is especially important when dealing with older patients. It would be important to know what factors are associated with discharge home and to have a clinical predictive scale that appropriately selects older patients who are going to be admitted to an EDOU. METHODS: A retrospective cross-sectional study was conducted of all patients ≥65 years of age assisted in 48 Spanish Emergency Departments for 7 consecutive days and were admitted to the EDOU. Demographics-functional, vital signs data and initial laboratory results were analyzed to investigate its association with discharge home and develop and validate a prediction model for discharge home from EDOU. Multivariable logistic regression was performed to develop a prediction model, and a scoring system was created. RESULTS: Among 5457 patients admitted to the EDOU from the emergency room, 2508 (46%) patients were discharged home, and 2949 (54%) were admitted to the hospital. Five variables were strongly associated with discharge home: the absence of fever (adjusted OR: 3.61, 95% CI:1.53-8.54), Glasgow Coma Scale score of 15 points (2.80, 1.63-4.82), absence of tachypnea (2.51, 1.74-3.64) or leukocytosis (2.07, 1.70-2.52) and oxygen saturation >94% (2.00, 1.64-2.43). The final model achieved an area under the receiver operating characteristic curve of 0.648 (IC95% = 0.627-0.668) in the development cohort and 0.635 (0.614-0.656) in the validation cohort. CONCLUSIONS: There are factors associated with a greater probability of discharge home of older patients admitted to EDOUs. Prediction at the individual level remains elusive, as the best model obtained in this study did not have sufficient validity to be applied in the clinical setting.
ABSTRACT
The elderly population frequently consults the emergency department (ED). This population could have greater use of EDs and hospital health resources. The EDEN cohort of patients aged 65 years or older visiting the ED allowed this association to be investigated. To analyse the association between healthcare resource use and the characteristics of patients over 65 years of age who consult hospital EDs. We performed an analysis of the EDEN cohort, a retrospective, analytical, and multipurpose registry that includes patients over 65 years of age who consulted in 52 Spanish EDs. The impact of age, sex, and characteristics of ageing on the following outcomes was studied: need for hospital admission (primary outcome) and need for observation, stay in the ED > 12 h, prolonged hospital stay > 7 days, need for intensive care unit (ICU) and return to the ED at 30 days related to the index visit (secondary outcomes). The association was analysed by calculating the adjusted odds ratios (aOR) and their 95% confidence intervals (CI), using a logistic regression model. A total of 25,557 patients with a mean age of 78.3 years were analysed, 45% were males. Of note was the presence of comorbidity, a Charlson index ≥ 3 (33%), and polypharmacy (66%). Observation in the ED was required by 26%, 25.4% were admitted to the hospital, and 0.9% were admitted to the ICU. The ED stay was > 12 h in 12.5% and hospital stay > 7 days in 13.5% of cases. There was a progressive increase in healthcare resource use based on age, with an aOR for the need for observation of 2.189 (95% CI 2.038-2.352), ED stay > 12 h 2.136 (95% CI 1.942-2.349) and hospital admission 2.579 (95% CI 2.399-2.772) in the group ≥ 85 years old. Most of the characteristics inherent to ageing (cognitive impairment, falls in the previous 6 months, polypharmacy, functional dependence, and comorbidity) were associated with significant increases in the use of healthcare resources, except for ICU admission, which was less in all the variables studied. Age and the characteristics inherent to ageing are associated with greater use of structural healthcare resources.