2026-09-17T21:31:36Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/88392024-03-19T01:05:16Zcom_10259_4219com_10259_5086com_10259_2604col_10259_4220

Santos García, Diego Deus-Fonticoba, Teresa de Cores Bartolomé, Carlos Suárez Castro, Ester Hernández Vara, Jorge Jesús, Silvia Mir, Pablo Cosgaya, Marina José Martí, María Pastor, Pau Cabo López, Iria Seijo, Manuel Legarda, Inés Vives Pastor, Bárbara Caballol, Núria Ruíz Martínez, Javier Croitoru, Ioana Cubo Delgado, Esther Miranda, Javier Alonso Losada, María Gema Labandeira, Carmen López Ariztegui, Nuria Morales-Casado, Mabel González Aramburu, Isabel Infante, Jon Escalante Arroyo, Sonia Bernardo, Noemí Blázquez Estrada, Marta Menéndez González, Manuel García Caldentey, Juan Borrue, Carmen Vela Desojo, Lydia Catalán, María José Gómez Mayordomo, Víctor Kurtis, Mónica M. Prieto, Cristina Ordás Bandera, Carlos Manuel Nogueira, Víctor López Manzanares, Lydia Ávila Rivera, María A. Puente, Víctor García Moreno, José Manuel Solano Vila, Berta Álvarez Saúco, María Carrillo Padilla, Francisco Martínez Castrillo, Juan Carlos Sánchez Alonso, Pilar Gastón, Itziar Kulisevsky Bojarsky, Jaume Valero, Caridad Fabregues, Oriol de González Ardura, Jessica López Díaz, Luis M. Martínez Martín, Pablo COPPADIS Study Group 2024-03-18T10:37:48Z 2024-03-18T10:37:48Z 2023-01 1877-7171 http://hdl.handle.net/10259/8839 10.3233/JPD-212539 1877-718X 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. application/pdf eng IOS Press Journal of Parkinson's Disease. 2023, V. 13, n. 1, p. 105-124 https://content.iospress.com/articles/journal-of-parkinsons-disease/jpd212539 Atribución-NoComercial 4.0 Internacional http://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess Falls Hospitalization Non-motor symptoms Parkinson’s disease Predictors Sistema nervioso-Enfermedades Medicina Neurología Nervous system-Diseases Medicine Neurology Falls Predict Acute Hospitalization in Parkinson’s Disease info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Journal of Parkinson's Disease 13 1 105 124