RESUMEN
BACKGROUND: Previous studies demonstrate an association between rib fractures and morbidity and mortality in trauma. This relationship in low-mechanism injuries, such as ground-level fall, is less clearly defined. Furthermore, computed tomography (CT) has increased sensitivity for rib fractures compared with chest x-ray (CXR); its utility in elderly fall patients is unknown. We sought to determine whether CT-diagnosed rib fractures in elderly fall patients with a normal CXR were associated with increased in-hospital resource utilization or mortality. METHODS: Retrospective analysis of emergency department patients presenting over a 3-year period. INCLUSION CRITERIA: age, 65 years or older; chief complaint, including mechanical fall; and both CXR and CT obtained. We quantified rib fractures on CXR and CT and reported operating characteristics for both. Outcomes of interest included hospital admission/length of stay (LOS), intensive care unit (ICU) admission/LOS, endotracheal intubation, tube thoracostomy, locoregional anesthesia, pneumonia, in-hospital mortality. RESULTS: We identified 330 patients, mean age was 84 years (±SD, 9.4 years); 269 (82%) of 330 were admitted. There were 96 (29%) patients with CT-diagnosed rib fracture, 56 (17%) by CT only. Compared with CT, CXR had a sensitivity of 40% (95% confidence interval, 30-50%) and specificity of 99% (95% confidence interval, 97-100%) for rib fracture. A median of two additional radiographically occult rib fractures were identified on CT. Despite an increased hospital admission rate (91% vs. 78%) p = 0.02, there was no difference between patients with and without radiographically occult (CT+ CXR-) rib fracture(s) for: median LOS (4; interquartile range (IQR) 2-7 vs 4, IQR 2-8); p = 0.92), ICU admission (28% vs. 27%) p = 0.62, median ICU LOS (2, IQR 1-8 vs 3, IQR 1-5) p = 0.54, or in-hospital mortality (10.3% vs. 7.3%) p = 0.45. CONCLUSION: Among elderly fall patients, CT-identified rib fractures were associated with increased hospital admissions. However, there was no difference in procedural interventions, ICU admission, hospital/ICU LOS or mortality for patients with and without radiographically occult fractures. LEVEL OF EVIDENCE: Diagnostic, level III.
Asunto(s)
Accidentes por Caídas , Fracturas Cerradas/diagnóstico por imagen , Fracturas de las Costillas/diagnóstico por imagen , Accidentes por Caídas/mortalidad , Accidentes por Caídas/estadística & datos numéricos , Anciano , Anciano de 80 o más Años , Femenino , Fracturas Cerradas/diagnóstico , Fracturas Cerradas/etiología , Fracturas Cerradas/mortalidad , Mortalidad Hospitalaria , Humanos , Tiempo de Internación/estadística & datos numéricos , Masculino , Radiografía Torácica , Estudios Retrospectivos , Fracturas de las Costillas/diagnóstico , Fracturas de las Costillas/etiología , Fracturas de las Costillas/mortalidad , Tomografía Computarizada por Rayos XRESUMEN
OBJECTIVES: To create a risk prediction rule for delirium in elderly adults in the emergency department (ED) and to compare mortality and resource use of elderly adults in the ED with and without delirium. DESIGN: Prospective observational study. SETTING: Urban tertiary care ED. PARTICIPANTS: Individuals aged 65 and older presenting for ED care (N = 700). MEASUREMENTS: A trained research assistant performed a structured mental status assessment and attention tests, after which delirium was determined using the Confusion Assessment Method. Data were collected on participant demographics, comorbidities, medications, ED course, hospital and intensive care unit (ICU) admission, length of stay, hospital charges, 30-day rehospitalization, and mortality. RESULTS: Nine percent of elderly study participants had delirium. Using logistic regression, a delirium prediction rule consisting of older age, prior stroke or transient ischemic attack, dementia, suspected infection, and acute intracranial hemorrhage was created had good predictive accuracy (area under the receiver operating characteristic curve = 0.77). Admitted participants with ED delirium had longer median lengths of stay (4 vs 2 days) and were more likely to require ICU admission (13% vs 6%) and to be discharged to a new long-term care facility (37% vs 9%) than those without. In all participants, ED delirium was associated with higher 30-day mortality (6% vs 1%) and 30-day readmission (27% vs 13%). CONCLUSION: This risk prediction rule may help identify a group of individuals in the ED at high risk of developing delirium who should undergo screening, but it requires external validation. Identification of delirium in the ED may enable physicians to implement strategies to decrease delirium duration and avoid inappropriate discharge of individuals with acute delirium, improving outcomes.