Falls Predict Acute Hospitalization in Parkinson's Disease

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. Met...

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Detalles Bibliográficos
Autores: Santos García D, de Deus Fonticoba T, Cores C, Castro ES, Hernández Vara J, Jesús S, Mir P, Cosgaya M, Martí MJ, Pastor P, Cabo I, Seijo M, Legarda I, Vives B, Caballol N, Rúiz Martínez J, Croitoru I, Cubo E, Miranda J, Alonso Losada MG, Labandeira C, López Ariztegui N, Morales-Casado M, González Aramburu I, Infante J, Escalante S, Bernardo N, Blázquez Estrada M, Menéndez González M, Caldentey JG, Borrué C, Vela L, Catalán MJ, Gómez Mayordomo V, Kurtis M, Prieto C, Ordás C, Nogueira V, López Manzanares L, Ávila Rivera MA, Puente V, García Moreno JM, Solano Vila B, Álvarez Sauco M, Carrillo Padilla F, Carlos Martínez Castrillo J, Sánchez Alonso P, Gastón I, Kulisevsky J, Valero C, de Fábregues O, González Ardura J, López Díaz LM, Martinez-Martin P
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
Repositorio:r-FISABIO. Repositorio Institucional de Producción Científica
OAI Identifier:oai:fisabio.fundanetsuite.com:p11833
Acceso en línea:https://fisabio.portalinvestigacion.com/publicaciones/11833
Access Level:acceso abierto
Palabra clave:Falls
hospitalization
non-motor symptoms
Parkinson's disease
predictors
Descripción
Sumario: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.

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