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Journal of Parkinson’s Disease
Article . 2021 . Peer-reviewed
License: CC BY NC
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Falls Predict Acute Hospitalization in Parkinson’s Disease

Authors: Santos García, Diego; de Deus Fonticoba, Teresa; Cores, Carlos; Suárez Castro, Ester; Hernández Vara, Jorge; Jesús, Silvia; Mir, Pablo; +48 Authors

Falls Predict Acute Hospitalization in Parkinson’s Disease

Abstract

Background: There is a need for identifying risk factors for hospitalization in Parkinson’s disease (PD) and also interventions to reduce acute hospital admission. Objective: To analyze the frequency, causes, and predictors of acute hospitalization (AH) in PD patients from a Spanish cohort. Methods: PD patients recruited from 35 centers of Spain from the COPPADIS-2015 (COhort of Patients with PArkinson’s DIsease in Spain, 2015) cohort from January 2016 to November 2017, were included in the study. In order to identify predictors of AH, Kaplan-Meier estimates of factors considered as potential predictors were obtained and Cox regression performed on time to hospital encounter 1-year after the baseline visit. Results: Thirty-five out of 605 (5.8%) PD patients (62.5±8.9 years old; 59.8% males) presented an AH during the 1-year follow-up after the baseline visit. Traumatic falls represented the most frequent cause of admission, being 23.7% of all acute hospitalizations. To suffer from motor fluctuations (HR [hazard ratio] 2.461; 95% CI, 1.065–5.678; p = 0.035), a very severe non-motor symptoms burden (HR [hazard ratio] 2.828; 95% CI, 1.319–6.063; p = 0.008), falls (HR 3.966; 95% CI 1.757–8.470; p = 0.001), and dysphagia (HR 2.356; 95% CI 1.124–4.941; p = 0.023) was associated with AH after adjustment to age, gender, disease duration, levodopa equivalent daily dose, total number of non-antiparkinsonian drugs, and UPDRS-IIIOFF. Of the previous variables, only falls (HR 2.998; 95% CI 1.080–8.322; p = 0.035) was an independent predictor of AH. Conclusion: Falls is an independent predictor of AH in PD patients.

Country
Spain
Keywords

Research Report, Male, Medicina, proportional hazards model, Parkinson's disease, complication, Non-motor symptoms, Levodopa, male, CHEMICALS AND DRUGS::Organic Chemicals::Amines::Catecholamines::Dihydroxyphenylalanine::Levodopa, Risk Factors, middle aged, Dopa, DISEASES::Nervous System Diseases::Nervous System Diseases::Nervous System Diseases::Neurodegenerative Diseases::Parkinson Disease, Humans, human, levodopa, Parkinson, Malaltia de, Neurología, Aged, Proportional Hazards Models, Predictors, Models de riscos proporcionals de Cox, ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Models, Statistical::Proportional Hazards Models, Parkinson Disease, TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::técnicas de investigación::métodos epidemiológicos::estadística como asunto::modelos estadísticos::modelos de riesgos proporcionales, Middle Aged, non-motor symptoms, Nervous system-Diseases, Parkinson disease, ENFERMEDADES::enfermedades del sistema nervioso::enfermedades del sistema nervioso central::enfermedades cerebrales::enfermedades de los ganglios basales::trastornos parkinsonianos::enfermedad de Parkinson, Hospitalization, aged, female, predictors, risk factor, Neurology, Spain, Parkinson’s disease, Sistema nervioso-Enfermedades, Medicine, Falls, Female, COMPUESTOS QUÍMICOS Y DROGAS::compuestos orgánicos::aminas::catecolaminas::dihidroxifenilalanina::levodopa, hospitalization

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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