open access

Vol 57, No 3 (2023)
Research Paper
Submitted: 2023-02-04
Accepted: 2023-04-13
Published online: 2023-05-10
Get Citation

Predictors of falls in Parkinson’s disease, progressive supranuclear palsy, and multiple system atrophy: a retrospective study

Christian F. Altmann1, Jiri Koschel2, Wolfgang H Jost1
·
Pubmed: 37161947
·
Neurol Neurochir Pol 2023;57(3):297-304.
Affiliations
  1. Parkinson-Klinik Ortenau, Wolfach, Germany
  2. Department of Neurology, University of Saarland, Homburg/Saar, Germany

open access

Vol 57, No 3 (2023)
Research papers
Submitted: 2023-02-04
Accepted: 2023-04-13
Published online: 2023-05-10

Abstract

Introduction. Recurrent falling is a major clinical milestone in Parkinsonian syndromes. It has a detrimental impact on quality of life, further prognosis, and life expectancy.

Aim of the study.
To improve fall management and prevention, we aimed at identifying clinical parameters predicting fall frequency. To this end, we retrospectively analysed records of fall events of patients with Parkinson’s disease (PD), or progressive supranuclear palsy (PSP), or multiple system atrophy (MSA), during their two-week inpatient stay at the Parkinson-Klinik Ortenau, Wolfach, Germany. This data served as an objective proxy for patients’ fall frequency and allowed us to estimate the impact of several demographic and clinical variables on the occurrence of falling.

Material and methods.
Of 2,111 patients admitted to our hospital, 1,810 presented with PD, 191 with PSP, and 110 with MSA. We employed a multiple (quasi-) poisson regression analysis to model the fall frequency as a function of various demographic variables (age at diagnosis, gender) and clinical variables (disease duration and sub-type, motor and cognitive impairment, autonomic dysfunction).

Results.
Statistically significant predictors for falls in PD were cognitive impairment, motor impairment, and autonomic dysfunction. In PSP, significant predictors for falls were motor and autonomic dysfunction, while in MSA only disease duration predicted falls, but with only marginal statistical significance.

Conclusions.
Our results stress the importance of different factors in predicting falls in the different types of Parkinsonian syndrome. Preventive interventions should address these disease-specific targets for optimal success.

Abstract

Introduction. Recurrent falling is a major clinical milestone in Parkinsonian syndromes. It has a detrimental impact on quality of life, further prognosis, and life expectancy.

Aim of the study.
To improve fall management and prevention, we aimed at identifying clinical parameters predicting fall frequency. To this end, we retrospectively analysed records of fall events of patients with Parkinson’s disease (PD), or progressive supranuclear palsy (PSP), or multiple system atrophy (MSA), during their two-week inpatient stay at the Parkinson-Klinik Ortenau, Wolfach, Germany. This data served as an objective proxy for patients’ fall frequency and allowed us to estimate the impact of several demographic and clinical variables on the occurrence of falling.

Material and methods.
Of 2,111 patients admitted to our hospital, 1,810 presented with PD, 191 with PSP, and 110 with MSA. We employed a multiple (quasi-) poisson regression analysis to model the fall frequency as a function of various demographic variables (age at diagnosis, gender) and clinical variables (disease duration and sub-type, motor and cognitive impairment, autonomic dysfunction).

Results.
Statistically significant predictors for falls in PD were cognitive impairment, motor impairment, and autonomic dysfunction. In PSP, significant predictors for falls were motor and autonomic dysfunction, while in MSA only disease duration predicted falls, but with only marginal statistical significance.

Conclusions.
Our results stress the importance of different factors in predicting falls in the different types of Parkinsonian syndrome. Preventive interventions should address these disease-specific targets for optimal success.

Get Citation

Keywords

autonomic dysfunction, cognitive impairment, falls, multiple system atrophy, Parkinson’s disease, progressive supranuclear palsy

Supp./Additional Files (1)
Supplementary Material
Download
43KB
About this article
Title

Predictors of falls in Parkinson’s disease, progressive supranuclear palsy, and multiple system atrophy: a retrospective study

Journal

Neurologia i Neurochirurgia Polska

Issue

Vol 57, No 3 (2023)

Article type

Research Paper

Pages

297-304

Published online

2023-05-10

Page views

1560

Article views/downloads

589

DOI

10.5603/PJNNS.a2023.0036

Pubmed

37161947

Bibliographic record

Neurol Neurochir Pol 2023;57(3):297-304.

Keywords

autonomic dysfunction
cognitive impairment
falls
multiple system atrophy
Parkinson’s disease
progressive supranuclear palsy

Authors

Christian F. Altmann
Jiri Koschel
Wolfgang H Jost

References (42)
  1. Kempster PA, O'Sullivan SS, Holton JL, et al. Relationships between age and late progression of Parkinson's disease: a clinico-pathological study. Brain. 2010; 133(Pt 6): 1755–1762.
  2. Wenning G, Ebersbach G, Verny M, et al. Progression of falls in postmortem-confirmed Parkinsonian disorders. Movement Disorders. 2001; 14(6): 947–950, doi: 10.1002/1531-8257(199911)14:6<947::aid-mds1006>3.0.co;2-o.
  3. Williams DR, Watt HC, Lees AJ. Predictors of falls and fractures in bradykinetic rigid syndromes: a retrospective study. J Neurol Neurosurg Psychiatry. 2006; 77(4): 468–473.
  4. Vossius C, Larsen JP, Janvin C, et al. The economic impact of cognitive impairment in Parkinson's disease. Mov Disord. 2011; 26(8): 1541–1544.
  5. Marras C, McDermott MP, Rochon PA, et al. Parkinson Study Group DATATOP Investigators. Predictors of deterioration in health-related quality of life in Parkinson's disease: results from the DATATOP trial. Mov Disord. 2008; 23(5): 653–9; quiz 776.
  6. Wielinski CL, Erickson-Davis C, Wichmann R, et al. Falls and injuries resulting from falls among patients with Parkinson's disease and other parkinsonian syndromes. Mov Disord. 2005; 20(4): 410–415.
  7. Tinetti ME, Williams CS. Falls, injuries due to falls, and the risk of admission to a nursing home. N Engl J Med. 1997; 337(18): 1279–1284.
  8. Glasmacher SA, Leigh PN, Saha RA. Predictors of survival in progressive supranuclear palsy and multiple system atrophy: a systematic review and meta-analysis. J Neurol Neurosurg Psychiatry. 2017; 88(5): 402–411.
  9. Bluett B, Litvan I, Cheng S, et al. ENGENE PSP study. Understanding falls in progressive supranuclear palsy. Parkinsonism Relat Disord. 2017; 35: 75–81.
  10. Brown FS, Rowe JB, Passamonti L, et al. Falls in Progressive Supranuclear Palsy. Mov Disord Clin Pract. 2020; 7(1): 16–24.
  11. Kim SL, Lee MJ, Lee MS. Cognitive dysfunction associated with falls in progressive supranuclear palsy. Gait Posture. 2014; 40(4): 605–609.
  12. Lindholm B, Brogårdh C, Odin P, et al. Longitudinal prediction of falls and near falls frequencies in Parkinson's disease: a prospective cohort study. J Neurol. 2021; 268(3): 997–1005.
  13. Litvan I, Agid Y, Calne D, et al. Clinical research criteria for the diagnosis of progressive supranuclear palsy (Steele-Richardson-Olszewski syndrome): report of the NINDS-SPSP international workshop. Neurology. 1996; 47(1): 1–9.
  14. Höglinger GU, Respondek G, Stamelou M, et al. Movement Disorder Society-endorsed PSP Study Group. Clinical diagnosis of progressive supranuclear palsy: The movement disorder society criteria. Mov Disord. 2017; 32(6): 853–864.
  15. Gilman S, Wenning GK, Low PA, et al. Second consensus statement on the diagnosis of multiple system atrophy. Neurol. 2008; 71: 670–676.
  16. Gibb WR, Lees AJ. The relevance of the Lewy body to the pathogenesis of idiopathic Parkinson's disease. J Neurol Neurosurg Psychiatry. 1988; 51(6): 745–752.
  17. Postuma RB, Berg D, Stern M, et al. MDS clinical diagnostic criteria for Parkinson's disease. Mov Disord. 2015; 30(12): 1591–1601.
  18. Kang GA, Bronstein JM, Masterman DL, et al. Clinical characteristics in early Parkinson's disease in a central California population-based study. Mov Disord. 2005; 20(9): 1133–1142.
  19. Altmann CF, Trubelja K, Emmans D, et al. Time-course of decline in different cognitive domains in Parkinson's disease: a retrospective study. J Neural Transm (Vienna). 2022; 129(9): 1179–1187.
  20. Fahn S, Elton RL. members of the UPDRS Development Committee. Unified Parkinson`s disease rating scale. In: Fahn SL, Marsden CD, Goldstein M, Calne DB. ed. Recent deve¬lopments in Parkinson’s disease. Macmillan, New York 1987: 153–163.
  21. Berg K. Measuring balance in the elderly: preliminary development of an instrument. Physiotherapy Canada. 1989; 41(6): 304–311.
  22. Scherfer E, Bohls C, Freiberger E, et al. Berg-Balance-Scale - deutsche Version. Physioscience. 2006; 2(2): 59–66.
  23. Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005; 53(4): 695–699.
  24. Dalrymple-Alford JC, MacAskill MR, Nakas CT, et al. The MoCA: well-suited screen for cognitive impairment in Parkinson disease. Neurology. 2010; 75(19): 1717–1725.
  25. Dubois B, Slachevsky A, Litvan I, et al. The FAB: a Frontal Assessment Battery at bedside. Neurology. 2000; 55(11): 1621–1626.
  26. Fanciulli A, Campese N, Wenning GK. The Schellong test: detecting orthostatic blood pressure and heart rate changes in German-speaking countries. Clin Auton Res. 2019; 29(4): 363–366.
  27. Lamb SE, Jørstad-Stein EC, Hauer K, et al. Prevention of Falls Network Europe and Outcomes Consensus Group. Development of a common outcome data set for fall injury prevention trials: the Prevention of Falls Network Europe consensus. J Am Geriatr Soc. 2005; 53(9): 1618–1622.
  28. Field A, Miles J, Field Z. Discovering Statistics using R. Sage Publications, London 2012.
  29. Ver Hoef JM, Boveng PL. Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data? Ecology. 2007; 88(11): 2766–2772.
  30. McKay JL, Hackney ME, Factor SA, et al. Lower Limb Rigidity Is Associated with Frequent Falls in Parkinson's Disease. Mov Disord Clin Pract. 2019; 6(6): 446–451.
  31. van Gerpen JA, Al-Shaikh RH, Tipton PW, et al. Progressive supranuclear palsy is not associated with neurogenic orthostatic hypotension. Neurology. 2019; 93(14): e1339–e1347.
  32. Ooi WL, Hossain M, Lipsitz LA. The association between orthostatic hypotension and recurrent falls in nursing home residents. Am J Med. 2000; 108(2): 106–111.
  33. Lindemann U, Nicolai S, Beische D, et al. Clinical and dual-tasking aspects in frequent and infrequent fallers with progressive supranuclear palsy. Mov Disord. 2010; 25(8): 1040–1046.
  34. Joza S, Camicioli R, Ba F. Falls in Synucleinopathies. Can J Neurol Sci. 2020; 47(1): 30–43.
  35. Bluett B, Pantelyat AY, Litvan I, et al. Best Practices in the Clinical Management of Progressive Supranuclear Palsy and Corticobasal Syndrome: A Consensus Statement of the CurePSP Centers of Care. Front Neurol. 2021; 12: 694872.
  36. Fasano A, Canning CG, Hausdorff JM, et al. Falls in Parkinson's disease: A complex and evolving picture. Mov Disord. 2017; 32(11): 1524–1536.
  37. Mirelman A, Rochester L, Maidan I, et al. Addition of a non-immersive virtual reality component to treadmill training to reduce fall risk in older adults (V-TIME): a randomised controlled trial. Lancet. 2016; 388(10050): 1170–1182.
  38. Dhalwani NN, Fahami R, Sathanapally H, et al. Association between polypharmacy and falls in older adults: a longitudinal study from England. BMJ Open. 2017; 7(10): e016358.
  39. Mitchell RJ, Lord SR, Harvey LA, et al. Associations between obesity and overweight and fall risk, health status and quality of life in older people. Aust N Z J Public Health. 2014; 38(1): 13–18.
  40. Clerici I, Ferrazzoli D, Maestri R, et al. Rehabilitation in progressive supranuclear palsy: Effectiveness of two multidisciplinary treatments. PLoS One. 2017; 12(2): e0170927.
  41. Rittman T, Coyle-Gilchrist ITs, Rowe JB. Managing cognition in progressive supranuclear palsy. Neurodegener Dis Manag. 2016; 6(6): 499–508.
  42. Raffegeau TE, Krehbiel LM, Kang N, et al. A meta-analysis: Parkinson's disease and dual-task walking. Parkinsonism Relat Disord. 2019; 62: 28–35.

Regulations

Important: This website uses cookies. More >>

The cookies allow us to identify your computer and find out details about your last visit. They remembering whether you've visited the site before, so that you remain logged in - or to help us work out how many new website visitors we get each month. Most internet browsers accept cookies automatically, but you can change the settings of your browser to erase cookies or prevent automatic acceptance if you prefer.

By VM Media Group sp. z o.o., ul. Świętokrzyska 73, 80–180 Gdańsk, Poland
tel.:+48 58 320 94 94, fax:+48 58 320 94 60, e-mail: viamedica@viamedica.pl