@article{ref1,
title="Probability of new falls and factors associated with them in aged patients treated in emergency departments after falling: data from the FALL-ER registry",
journal="Emergencias",
year="2022",
author="García-Martínez, Ana and Gil-Rodrigo, Adriana and Placer, Arrate and Alemany, Xavier and Aguiló, Sira and Torres-Machado, Victoria and Jacob, Javier and Herrero, Pablo and Llorens, Pere and Martín-Sánchez, Francisco Javier and Miró, Òscar",
volume="34",
number="6",
pages="444-451",
abstract="OBJECTIVES: To identify characteristics associated with a new fall in a patient who received emergency department care after an accidental fall and to develop a risk model to predict repeated falls. MATERIAL AND METHODS: The FALL-ER registry included accidental falls in patients over the age of 65 years treated in 5 Spanish emergency departments. Independent variables analyzed were patient characteristics at baseline, fall characteristics, immediate consequences, and functional status on discharge. Patients were followed with telephone interviews for 6 months to record the occurrence of new falls. Multivariate regression analysis was used to identify variables associated with falling again and to develop a risk model. We identified 3 levels of risk for new falls (low, intermediate, and high). <br><br>RESULTS: A total of 1313 patients were studied; 147 patients (11.2%) reported having another fall. Variables associated with risk of falling again were having had a fall in the 12 months before the index fall, neurological disease, anemia, use of non-opioid analgesics, falling at home, falling at night, head injury on falling, and need for help when rising from a chair. The probability of falling again was 3.5%, 10.5%, and 23.3%, respectively, in patients at low, intermediate, and high risk. The model's ability to discriminate was moderate: the area under the receiver operating characteristic curve was 0.688 (95% CI, 0.640-0.736). <br><br>CONCLUSION: One in 9 older adults treated in an emergency department for an accidental fall will fall again within 6 months. It is possible to identify patients at higher risk for whom preventive measures should be implemented.<p /> <p>Language: en</p>",
language="en",
issn="1137-6821",
doi="",
url="http://dx.doi.org/"
}