Parashos SA, et al. - Researchers analyzed data in the National Parkinson Foundation Quality Improvement Initiative database 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. Using logistic regression, multivariable models were constructed. They identified several predictors of progression to falling in PD. Results of this study suggested that such identifiers might help target patient subgroups for falls prevention intervention. They reported that some factors were modifiable, offering opportunities for developing such interventions.