What predicts falls in Parkinson disease?
| Autor: | Nir Giladi, Nina Browner, Zoltan Mari, Kelly E. Lyons, Catherine L. Wielinski, Bastiaan R. Bloem, Peter N. Schmidt, Sotirios A. Parashos, Jeffrey M. Hausdorff, John Christopher Morgan, Ying He, Samuel S. Wu, Tanya Gurevich, Bart Post |
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| Rok vydání: | 2018 |
| Předmět: |
Gerontology
030506 rehabilitation medicine.medical_specialty Psychological intervention MEDLINE Poison control Disease Logistic regression Suicide prevention Occupational safety and health 03 medical and health sciences All institutes and research themes of the Radboud University Medical Center 0302 clinical medicine Injury prevention medicine Research article business.industry Research Correction Foundation (evidence) Human factors and ergonomics Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3] nervous system diseases Physical therapy Neurology (clinical) Psychology 0305 other medical science business 030217 neurology & neurosurgery |
| Zdroj: | Neurology. Clinical Practice, 8, 214-222 Neurology. Clinical Practice, 8, 3, pp. 214-222 |
| ISSN: | 2163-0933 2163-0402 |
| Popis: | BackgroundWe undertook this study to identify patients with Parkinson disease (PD) with no or rare falls who may progress to frequent falling by their next annual follow-up visit.MethodsWe analyzed data in the National Parkinson Foundation Quality Improvement Initiative database to identify factors predicting which patients with PD with no or rare falls at the baseline visit will report at least monthly falls at the annual follow-up visit. Multivariable models were constructed using logistic regression. Variables were introduced in 4 blocks: in the 1st block, variables present at or before the baseline visit were entered; in the 2nd, baseline visit assessments; in the 3rd, interventions implemented during baseline visit; and, in the 4th block, changes in comorbidities, living situation, and treatment between visits.ResultsOf 3,795 eligible participants, 3,276 (86.3%) reported no or rare falls at baseline visit, and of them, 382 (11.7%) reported at least monthly falls at follow-up visit. Predictors included female sex, ConclusionsThis large-scale analysis identified several predictors of progression to falling in PD. Such identifiers may help target patient subgroups for falls prevention intervention. Some factors are modifiable, offering opportunities for developing such interventions. |
| Databáze: | OpenAIRE |
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