Background: We evaluated risk factors and frailty assessments to identify fall-prone geriatric patients in the emergency department (ED).
Methods: This prospective study included 264 consecutive patients aged ≥65 years who presented to the ED. The participants were divided into those who had fallen or not. The patient groups were compared in terms of age, sex, presenting complaints (falls vs. others), comorbidities, medications, frailty assessment tools, and orthostatic hypotension (OH).
Results: In total, 264 patients were included: 129 (48.8%) patients who had fallen and 135 (51.2%) who hadn't fallen. The mean ages of patients who had fallen and those who had not fallen were 80.48±8.38 and 79.42±7.94 years, respectively. In addition, 62.01% (n=80) and 51.85% (n=70) of patients were females. There were no statistically significant differences between the groups in terms of age or sex (P=0.290 and P=0.096, respectively). In total, 89.92% (n=116) of patients who had fallen had at least one chronic medical condition. There was a significant difference in the proportion of patients with OH between the groups. Frailty scores such as the Edmonton Frail Scale, Frail Non-Disabled Questionnaire, PRISMA-7 questionnaire, Identification of Seniors at Risk test, and Rockwood Clinical Frailty Scale scores were also significantly different between the groups. A higher PRISMA-7 score at admission was found to be an independent predictor of fall risk.
Conclusion: Falls occur more frequently in the older population and in females. In addition, the frailty assessment scores, except for the FRESH Frailty Scale, were associated with falls in geriatric patients. After elimination of non-significant variables in multivariate analysis, a high PRISMA-7 questionnaire score at admission was identified as an independent predictor of fall risk.
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http://dx.doi.org/10.14744/tjtes.2023.07433 | DOI Listing |
Sci Rep
December 2024
Department of Communications and Electronics, Delta University for Science and Technology, Mansoura, Egypt.
Human activity recognition (HAR) is one of the most important segments of technology advancement in applications of smart devices, healthcare systems & fitness. HAR uses details from wearable sensors that capture the way human beings move or engage with their surrounding. Several researchers have thus presented different ways of modeling human motion, and some have been as follows: Many researchers have presented different methods of modeling human movements.
View Article and Find Full Text PDFAm J Case Rep
December 2024
Department of General Medicine, Saga University Hospital, Saga, Japan.
BACKGROUND Appropriate management of patients who have fallen is crucial for reducing damage and mortality. We report the case of a patient who fell from a seated position, which caused traumatic liver injury, with gastrointestinal symptoms as the primary patient concern. CASE REPORT A woman in her 80s who was living independently fell from a seated position during the daytime.
View Article and Find Full Text PDFDermatologie (Heidelb)
December 2024
Klinik und Poliklinik für Dermatologie und Allergologie, Universitätsklinikum Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Deutschland.
Br Paramed J
December 2024
Northern Ireland Ambulance Service (NIAS) ORCID iD: https://orcid.org/0000-0002-3104-8360.
Introduction: Paramedic clinical practice has seen significant evolution from the traditional role of transporting patients to an emergency department (ED). An evolving and flexible scope of practice, modernisation and healthcare reform has necessitated the development of a range of referral pathways for paramedics, with the aim of ensuring that service users receive the most appropriate care at the point of contact. Ambulance conveyance rates to EDs in Northern Ireland (NI) have only occasionally fallen below 75%.
View Article and Find Full Text PDFBrain Impair
December 2024
Princess Alexandra Hospital, Brain Injury Rehabilitation Service, Brisbane, Qld, Australia.
Background and objectives Falls research has explored the characteristics of patients with a brain injury who experienced falls and the nature of these falls. However, the characteristics of falls with consequence have not yet been investigated. This study aimed to explore the consequences of patient falls in inpatient brain injury rehabilitation.
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