Older Patients with Low-Energy Falls Presenting to the Emergency Department: Characteristics and Outcomes

Diagnostic value of protein S100b as predictor of traumatic intracranial haemorrhage in elderly adults with low-energy falls: results from a retrospective observational study

PURPOSE

The objectives of this study were to analyse the clinical value of protein S100b (S100b) in association with clinical findings and anticoagulation therapy in predicting traumatic intracranial haemorrhage (tICH) and unfavourable outcomes in elderly individuals with low-energy falls (LEF).

METHODS

We conducted a retrospective study in the emergency department (ED) of the LMU University Hospital, Munich by consecutively including all patients aged ≥ 65 years presenting to the ED following a LEF between September 2014 and December 2016 and receiving an emergency cranial computed tomography (cCT) examination. Primary endpoint was the prevalence of tICH. Multivariate logistic regression models and receiver operating characteristics were used to measure the association between clinical findings, anticoagulation therapy and S100b and tICH.

RESULTS

We included 2687 patients, median age was 81 years (60.4% women). Prevalence of tICH was 6.7% (180/2687) and in-hospital mortality was 6.1% (11/180). Skull fractures were highly associated with tICH (odds ratio OR 46.3; 95% confidence interval CI 19.3-123.8, p < 0.001). Neither anticoagulation therapy nor S100b values were significantly associated with tICH (OR 1.14; 95% CI 0.71-1.86; OR 1.08; 95% CI 0.90-1.25, respectively). Sensitivity of S100b (cut-off: 0.1 ng/ml) was 91.6% (CI 95% 85.1-95.9), specificity was 17.8% (CI 95% 16-19.6), and the area under the curve value was 0.59 (95% CI 0.54 - 0.64) for predicting tICH.

CONCLUSION

In conclusion, under real ED conditions, neither clinical findings nor protein S100b concentrations or presence of anticoagulation therapy was sufficient to decide with certainty whether a cCT scan can be bypassed in elderly patients with LEF. Further prospective validation is required.

Clinical Acuity in the Emergency Department and Injury Severity Determine Hospital Admission of Older Patients with Low Energy Falls: Outcomes from a Prospective Feasibility Study

BACKGROUND

Low energy falls (LEF) in older adults constitute a relevant cause for emergency department (ED) visits, hospital admission and in-hospital mortality. Patient-reported outcome measures containing information about patients' medical, mental and social health problems might support disposition and therapy decisions. We investigated the value of a tablet-based (self-)assessment in predicting hospital admission and in-hospital mortality.

METHODS

Patients 65 years or older, consecutively presenting with LEF to our level I trauma center ED (from November 2020 to March 2021), were eligible for inclusion in this prospective observational study. The primary endpoint was hospital admission; secondary endpoints were in-hospital mortality and the use of the tablet for self-reported assessment. Multivariate logistic regression models were calculated to measure the association between clinical findings and endpoints.

RESULTS

Of 618 eligible patients, 201 patients were included. The median age was 82 years (62.7% women). The hospital admission rate was 45.3% (110/201), with an in-hospital mortality rate of 3.6% (4/110). Polypharmacy (odds ratio (OR): 8.48; 95% confidence interval (95%CI) 1.21-59.37, p = 0.03), lower emergency severity index (ESI) scores (OR: 0.33; 95%CI 0.17-0.64, p = 0.001) and increasing injury severity score (ISS) (OR: 1.54; 95%CI 1.32-1.79, p < 0.001) were associated with hospital admission. The Charlson comorbidity index (CCI) was significantly associated with in-hospital mortality (OR: 2.60; 95%CI: 1.17-5.81, p = 0.03). Increasing age (OR: 0.94; 95%CI: 0.89-0.99, p = 0.03) and frailty (OR: 0.71; 95%CI: 0.51-0.99, p = 0.04) were associated with the incapability of tablet use.

CONCLUSIONS

The severity of fall-related injuries and the clinical acuity are easily accessible, relevant predictors for hospital admission. Tablet-based (self-)assessment may be feasible and acceptable during ED visits and might help facilitate comprehensive geriatric assessments during ED stay.

Prevalence and Severity of Traumatic Intracranial Hemorrhage in Older Adults with Low-Energy Falls

BACKGROUND/OBJECTIVES

To determine the prevalence and severity of traumatic intracranial hemorrhage (tICH) in a large cohort of older adults presenting with low-energy falls and the association with anticoagulation or antiplatelet medication.

DESIGN

Bicentric retrospective cohort analysis.

SETTING

Two level 1 trauma centers in Switzerland and Germany.

PARTICIPANTS

Consecutive sample of older adults (aged ≥65 y) presenting to the emergency department (ED) over a 1-year period with low-energy falls who received cranial computed tomography (cCT) within 48 hours of ED presentation.

MEASUREMENTS

The prevalence and severity of tICHs was assessed and the outcomes (in-hospital mortality, admission to intensive care unit [ICU], or neurosurgical intervention) were specified. We used multivariate regression models to measure the association between anticoagulation/antiplatelet therapy and the risk for tICH after adjustment for known predictors.

RESULTS

The overall prevalence for tICH detected by cCT was 176 of 2567 (6.9%). Neurosurgical intervention was performed in 15 of 176 (8.5%) patients with tICH, 28 of 176 (15.9%) patients were admitted to the ICU, and 14 of 176 (8.0%) died in the hospital. CT-detected skull fracture and signs of injury above the clavicles were the strongest predictors for the presence of tICH (odds ratio [OR] = 4.28; 95% confidence interval [CI] = 2.79-6.51; OR = 1.88; 95% CI = 1.3-2.73, respectively). Among 2567 included patients, 1424 (55%) were on anticoagulation/antiplatelet therapy. Multivariate regression models showed no differences for the risk of tICH (OR = 1.05; 95% CI = .76-1.47; P = .76) or association with the head-specific Injury Severity Scale (incident rate ratio = 1.08; 95% CI = .97-1.19; P = .15) with or without anticoagulation/antiplatelet therapy.

CONCLUSION

Medication with anticoagulants or antiplatelet agents was not associated with higher prevalence and severity of tICH in older patients with low-energy falls undergoing cCT examination. In addition to cCT-detected skull fractures, visible injuries above the clavicles were the strongest clinical predictors for tICH. Our findings merit prospective validation. J Am Geriatr Soc 68:977-982, 2020.

Prevalence of Fractures and Diagnostic Accuracy of Emergency X-ray in Older Adults Sustaining a Low-Energy Fall: A Retrospective Study

BACKGROUND

Plain radiography (XR) series are standard of care for detection of fall-related fractures in older patients with low-energy falls (LEF) in the emergency department (ED). We have investigated the prevalence of fractures and diagnostic accuracy of XR imaging in the ED.

METHODS

2839 patients with LEF, who were presented to two urban level I trauma centers in 2016 and received XR and computed tomography (CT), were consecutively included in this retrospective cohort study. The primary endpoint was the prevalence of fractures of the vertebral column, rib cage, pelvic ring, and proximal long bones. Secondary endpoints were diagnostic accuracy of XR for fracture detection with CT as reference standard and cumulative radiation doses applied.

RESULTS

Median age was 82 years (range 65-105) with 64.1% female patients. Results revealed that 585/2839 (20.6%) patients sustained fractures and 452/2839 (15.9%) patients received subsequent XR and CT examinations of single body regions. Cross-tabulation analysis revealed sensitivity of XR of 49.7%, a positive likelihood ratio of 27.6, and negative likelihood ratio of 0.5.

CONCLUSIONS

XR is of moderate diagnostic accuracy for ruling-out fractures of the spine, pelvic ring, and rib cage in older patients with LEF. Prospective validations are required to investigate the overall risk-benefit of direct CT imaging strategies, considering the trade-off between diagnostic safety, health care costs, and radiation exposure.