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1.
Geriatr Gerontol Int ; 18(9): 1388-1392, 2018 Sep.
Article in English | MEDLINE | ID: mdl-30088330

ABSTRACT

AIM: Falls are a prevalent issue for the older population, and for the healthcare system in terms of emergency department (ED) access and hospitalizations. There is still a lack of knowledge and guidelines, however, regarding the need to hospitalize older patients accessing the ED after a fall. In the present study, we aimed to analyze the factors and the decisional process that led to older patients accessing the ED after a fall being admitted to hospital or discharged. METHODS: The study sample included 2144 older people who accessed the ED after a fall. For each patient, we obtained information on the nature of the fall and the related injuries, previous falls, dementia and ongoing medical therapies. As the outcome variable, we considered the indication for ward admission after the ED visit. RESULTS: Of the 2144 individuals who accessed the ED after a fall, 38% had at least one fracture, and 40.1% were admitted to a ward. The decision tree obtained using the chi-squared automatic interaction detection algorithm showed that the indication for ward admission could be accurately predicted (risk estimate 0.205) by just five factors, namely: presence and severity of fall-related injuries, reportedly suspicious fall dynamics, use of anticoagulants, polypharmacy, and dementia. CONCLUSIONS: The need for ward admission in older patients who access the ED after a fall seems to be determined not only by the severity of fall-related injuries, but also by the fall dynamics and the individual's clinical complexity. Geriatr Gerontol Int 2018; 18: 1388-1392.


Subject(s)
Accidental Falls/statistics & numerical data , Decision Trees , Emergency Service, Hospital/statistics & numerical data , Fractures, Bone/epidemiology , Outcome Assessment, Health Care , Patient Admission/statistics & numerical data , Aged , Aged, 80 and over , Analysis of Variance , Cohort Studies , Female , Follow-Up Studies , Geriatric Assessment/methods , Humans , Length of Stay , Logistic Models , Male , Multivariate Analysis , Patient Discharge/statistics & numerical data
2.
Gait Posture ; 58: 463-468, 2017 10.
Article in English | MEDLINE | ID: mdl-28923660

ABSTRACT

BACKGROUND: While the relevance of falls in raising the risk of fractures, hospitalization and disability in older age is well recognized, the factors influencing the onset of fractures and the need for ward admission after a fall have yet to be fully elucidated. We investigated which factors and fall dynamics were mainly associated with fall-related injuries and hospitalization among elderly persons accessing the Emergency Department (ED) following a fall. METHODS: The study involved 2144 older subjects who accessed the ED after a fall. Data on the fall´s nature and related injuries, ward admissions, history of falls, dementia, and medical therapies were examined for all patients. Considering dynamics, we distinguished accidental falls (due to interaction with environmental hazards while in motion) and falls from standing (secondary to syncope, lipothymia, drop attack, or vertigo). RESULTS: The overall prevalence of fractures in our population did not differ significantly with advancing age, though hip fractures were more common in the oldest, and upper limb fractures in the youngest patients. Falls from standing were associated with polypharmacy and with higher ward admission rate despite a lower fractures´ prevalence than accidental falls. The chances of fall-related fractures were more than fourfold as high for accidental dynamics (OR=4.05, 95%CI:3.10-5.29, p<0.0001). Ward admission was associated with polypharmacy, dementia, anticoagulants´ use and fall-related fractures (OR=6.84, 95%CI:5.45-8.58, p<0.0001), while it correlated inversely with accidental fall dynamics. CONCLUSIONS: Outcomes of falls in older age depend not only on any fall-related injuries, but also on factors such as polypharmacy, cognitive status and fall dynamics.


Subject(s)
Accidental Falls , Emergency Service, Hospital , Fractures, Bone/etiology , Accidental Falls/statistics & numerical data , Age Factors , Aged , Aged, 80 and over , Female , Fractures, Bone/epidemiology , Fractures, Bone/therapy , Hospitalization/statistics & numerical data , Humans , Italy/epidemiology , Male , Outcome Assessment, Health Care , Prevalence , Risk Factors
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