Dataset Information

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.

SUBMITTER: Santos Garcia D

PROVIDER: S-EPMC9912731 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

Falls Predict Acute Hospitalization in Parkinson's Disease.

Santos García Diego D de Deus Fonticoba Teresa T Cores Carlos C Suárez Castro Ester E Hernández Vara Jorge J Jesús Silvia S Mir Pablo P Cosgaya Marina M José Martí Maria M Pastor Pau P Cabo Iria I Seijo Manuel M Legarda Inés I Vives Bárbara B Caballol Nuria N Rúiz Martínez Javier J Croitoru Ioana I Cubo Esther E Miranda Javier J Alonso Losada Maria Gema MG Labandeira Carmen C López Ariztegui Nuria N Morales-Casado Mabel M González Aramburu Isabel I Infante Jon J Escalante Sonia S Bernardo Noemí N Blázquez Estrada Marta M Menéndez González Manuel M García Caldentey Juan J Borrué Carmen C Vela Lydia L Catalán Maria José MJ Gómez Mayordomo Víctor V Kurtis Mónica M Prieto Cristina C Ordás Carlos C Nogueira Víctor V López Manzanares Lydia L Ávila Rivera Maria Asunción MA Puente Victor V García Moreno Jose Manuel JM Solano Vila Berta B Álvarez Sauco María M Carrillo Padilla Francisco F Martínez Castrillo Juan Carlos JC Sánchez Alonso Pilar P Gastón Itziar I Kulisevsky Jaime J Valero Caridad C de Fábregues Oriol O González Ardura Jessica J López Díaz Luis Manuel LM Martinez-Martin Pablo P

Journal of Parkinson's disease 20230101 1

<h4>Background</h4>There is a need for identifying risk factors for hospitalization in Parkinson's disease (PD) and also interventions to reduce acute hospital admission.<h4>Objective</h4>To analyze the frequency, causes, and predictors of acute hospitalization (AH) in PD patients from a Spanish cohort.<h4>Methods</h4>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 i ...[more]

PMID: 33843696

Similar Datasets

Project description:BackgroundFalls are a major health burden for older adults with Parkinson's disease (PD), but there is currently no reliable questionnaire to capture the circumstances and consequences of falls in older adults with PD. This study aimed to develop a PD-specific falls questionnaire and to evaluate its test-retest reliability in older adults with PD.MethodsA novel PD-specific falls questionnaire (PDF-Q) was developed in two modes (online and paper-based version) and used to assess falls and near-falls events over the past 12-months. Questions were agreed upon by an expert group, with the domains based on previous falls-related questionnaires. The questions included the number and circumstances (activities, location and direction) of falls and near-falls, and consequences (injuries and medical treatment) of falls. The PDF-Q was distributed to 46 older adults with PD (online n = 30, paper n = 16), who completed the questionnaire twice, 4 weeks apart. Kappa (κ) statistics were used to establish test-retest reliability of the questionnaire items.ResultsPooled results from both questionnaires for all participants were used to assess the overall test-retest reliability of the questionnaire. Questions assessing the number of falls (κ = 0.41) and the number of near-falls (κ = 0.51) in the previous 12-months demonstrated weak agreement, while questions on the location of falls (κ = 0.89) and near-falls (κ = 1.0) demonstrated strong to almost perfect agreement. Questions on the number of indoor (κ = 0.86) and outdoor (κ = 0.75) falls demonstrated moderate to strong agreement, though questions related to the number of indoor (κ = 0.47) and outdoor (κ = 0.56) near-falls demonstrated weak agreement. Moderate to strong agreement scores were observed for the most recent fall and near-fall in terms of the direction (indoor fall κ = 0.80; outdoor fall κ = 0.81; near-fall κ = 0.54), activity (indoor fall κ = 0.70; outdoor fall κ = 0.82; near-fall κ = 0.65) and cause (indoor fall κ = 0.75; outdoor fall κ = 0.62; near-fall κ = 0.56).ConclusionsThe new PDF-Q developed in this study was found to be reliable for capturing the circumstances and consequences of recent falls and near-falls in older adults with PD.

Dataset Information

Falls Predict Acute Hospitalization in Parkinson's Disease.

Background

Objective

Methods

Results

Conclusion

Publications

Falls Predict Acute Hospitalization in Parkinson's Disease.

Similar Datasets

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