External validation of a 3-step falls prediction model in mild Parkinson’s disease

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

The 3-step falls prediction model (3-step model) that include history of falls, history of freezing of gait and comfortable gait speed <1.1 m/s was suggested as a clinical fall prediction tool in Parkinson’s disease (PD). We aimed to externally validate this model as well as to explore the value of additional predictors in 138 individuals with relatively mild PD. We found the discriminative ability of the 3-step model in identifying fallers to be comparable to previously studies [area under curve (AUC), 0.74; 95 % CI 0.65–0.84] and to be better than that of single predictors (AUC, 0.61–0.69). Extended analyses generated a new model for prediction of falls and near falls (AUC, 0.82; 95 % CI 0.75–0.89) including history of near falls, retropulsion according to the Nutt Retropulsion test (NRT) and tandem gait (TG). This study confirms the value of the 3-step model as a clinical falls prediction tool in relatively mild PD and illustrates that it outperforms the use of single predictors. However, to improve future outcomes, further studies are needed to firmly establish a scoring system and risk categories based on this model. The influence of methodological aspects of data collection also needs to be scrutinized. A new model for prediction of falls and near falls, including history of near falls, TG and retropulsion (NRT) may be considered as an alternative to the 3-step model, but needs to be tested in additional samples before being recommended. Taken together, our observations provide important additions to the evidence base for clinical fall prediction in PD.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • Skåne University Hospital
  • Kristianstad University
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Neurologi

Nyckelord

Originalspråkengelska
Sidor (från-till)2462-2469
TidskriftJournal of Neurology
Volym263
Utgivningsnummer12
Tidigt onlinedatum2016 sep 19
StatusPublished - 2016 dec
PublikationskategoriForskning
Peer review utfördJa

Relaterad forskningsoutput

Beata Lindholm, 2017, Lund: Lund University, Faculty of Medicine. 84 s.

Forskningsoutput: AvhandlingDoktorsavhandling (sammanläggning)

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