Skip to main content

Advertisement

Log in

The role of frailty in Parkinson’s disease: a cross-sectional study

  • Original Communication
  • Published:
Journal of Neurology Aims and scope Submit manuscript

Abstract

Background

Frailty is an age-related state of increased risk for health-related adverse outcomes that reflects multisystem physiological changes and likely influences the clinical expression and disease progression of neurodegenerative disorders. The aim of the present study was to assess the potential relationship between frailty, as assessed by a frailty index (FI), and motor symptom severity, motor subtypes, and non-motor domains in Parkinson’s disease (PD).

Methods

We consecutively enrolled 150 PD patients. We administered an FI specifically designed for PD that included 50 age-related multidimensional biological deficits. Patients underwent a clinical assessment that evaluated motor and non-motor manifestations of PD. Using the FI score, we classified PD patients as relatively fit (FI ≤ 0.10), less fit (0.10 < FI ≤ 0.21), or frail (FI > 0.21). A linear regression model was designed to explore possible associations between frailty level and PD motor and non-motor manifestations.

Results

Frail patients showed greater motor symptom severity and motor complications than fitter patients. A trend towards a higher prevalence of the postural instability/gait disorder subtype was also observed in frail versus relatively fit and less fit patients. The global burden of non-motor symptoms was higher in frail patients. Increased frailty was associated with more severe motor and non-motor symptoms, as well as with more pronounced cognitive deficits. These associations remained significant even when “traditional” predictors of PD severity (age, disease duration, and levodopa equivalent daily dose) were considered.

Conclusions

The present findings indicate that the FI is associated with both motor and non-motor features of PD.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Obeso JA, Stamelou M, Goetz CG, Poewe W, Lang AE, Weintraub D, Burn D, Halliday GM, Bezard E, Przedborski S, Lehericy S, Brooks DJ, Rothwell JC, Hallett M, DeLong MR, Marras C, Tanner CM, Ross GW, Langston JW, Klein C, Bonifati V, Jankovic J, Lozano AM, Deuschl G, Bergman H, Tolosa E, Rodriguez-Violante M, Fahn S, Postuma RB, Berg D, Marek K, Standaert DG, Surmeier DJ, Olanow CW, Kordower JH, Calabresi P, Schapira AHV, Stoessl AJ (2017) Past, present, and future of Parkinson’s disease: a special essay on the 200th Anniversary of the Shaking Palsy. Mov Disord 32:1264–1310. https://doi.org/10.1002/mds.27115

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Lewis SJ, Foltynie T, Blackwell AD, Robbins TW, Owen AM, Barker RA (2005) Heterogeneity of Parkinson’s disease in the early clinical stages using a data driven approach. J Neurol Neurosurg Psychiatry 76(3):343–348. https://doi.org/10.1136/jnnp.2003.033530

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Picillo M, Nicoletti A, Fetoni V, Garavaglia B, Barone P, Pellecchia MT (2017) The relevance of gender in Parkinson’s disease: a review. J Neurol 264(8):1583–1607. https://doi.org/10.1007/s00415-016-8384-9

    Article  PubMed  Google Scholar 

  4. Fereshtehnejad SM, Romenets SR, Anang JBM, Latreille V, Gagnon J-F, Postuma RB (2015) New clinical subtypes of parkinson disease and their longitudinal progression: a prospective cohort comparison with other phenotypes. JAMA Neurol 72(8):863–873. https://doi.org/10.1001/jamaneurol.2015.0703

    Article  PubMed  Google Scholar 

  5. Fereshtehnejad SM, Zeighami Y, Dagher A, Postuma RB (2017) Clinical criteria for subtyping Parkinson’s disease: biomarkers and longitudinal progression. Brain 140(7):1959–1976. https://doi.org/10.1093/brain/awx118

    Article  PubMed  Google Scholar 

  6. Belvisi D, Pellicciari R, Fabbrini G, Tinazzi M, Berardelli A, Defazio G (2020) Modifiable risk and protective factors in disease development, progression and clinical subtypes of Parkinson’s disease: What do prospective studies suggest? Neurobiol Dis 134:104671. https://doi.org/10.1016/j.nbd.2019.104671

    Article  CAS  PubMed  Google Scholar 

  7. Walston J, Hadley EC, Ferrucci L, Guralnik JM, Newman AB, Studenski SA, Ershler WB, Harris T, Fried LP (2006) Research agenda for frailty in older adults: toward a better understanding of physiology and etiology: summary from the American Geriatrics Society/National Institute on aging research conference on frailty in older adults. J Am Geriatr Soc 54(6):991–1001. https://doi.org/10.1111/j.1532-5415.2006.00745.x

    Article  PubMed  Google Scholar 

  8. Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K (2013) Frailty in elderly people. Lancet 381(9868):752–762. https://doi.org/10.1016/S0140-6736(12)62167-9

    Article  PubMed  Google Scholar 

  9. Hoogendijk EO, Afilalo J, Ensrud KE, Kowal P, Onder G, Fried LP (2019) Frailty: implications for clinical practice and public health. Lancet 394(10206):1365–1375. https://doi.org/10.1016/S0140-6736(19)31786-6

    Article  PubMed  Google Scholar 

  10. Rockwood K, Mitnitski A (2007) Frailty in relation to the accumulation of deficits. J Gerontol A Biol Sci Med Sci 62(7):722–727. https://doi.org/10.1093/gerona/62.7.722

    Article  PubMed  Google Scholar 

  11. Searle SD, Mitnitski A, Gahbauer EA, Gill TM, Rockwood K (2008) A standard procedure for creating a frailty index. BMC Geriatr 8:24. https://doi.org/10.1186/1471-2318-8-24

    Article  PubMed  PubMed Central  Google Scholar 

  12. Ahmed NN, Sherman SJ, VanWyck D (2008) Frailty in Parkinson’s disease and its clinical implications. Parkinsonism Relat Disord 14(4):334–337. https://doi.org/10.1016/j.parkreldis.2007.10.004

    Article  PubMed  Google Scholar 

  13. Seiffert P, Derejczyk J, Kawa J, Marcisz C, Czernek M, Szymszal J, Kapko W, Bugdol M, Torbus A, Stępień-Wyrobiec O (2017) Frailty phenotype and the role of levodopa challenge test in geriatric inpatients with mild parkinsonian signs. Biogerontology 18(4):641–650. https://doi.org/10.1007/s10522-017-9716-6

    Article  CAS  PubMed  Google Scholar 

  14. Tan AH, Hew YC, Lim S-Y, Ramli NM, Kamaruzzaman SB, Tan MP, Grossmann M, Ang BH, Tan JY, Manap MAAA, Tay TK, Tan SL, New RP, Fadzli F, Yee EJ, Moy FM, Mahadeva S, Lang AE (2018) Altered body composition, sarcopenia, frailty, and their clinico-biological correlates, in Parkinson’s disease. Parkinsonism Relat Disord 56:58–64. https://doi.org/10.1016/j.parkreldis.2018.06.020

    Article  PubMed  Google Scholar 

  15. Peball M, Mahlknecht P, Werkmann M, Marini K, Murr F, Herzmann H, Stockner H, de Marzi R, Heim B, Djamshidian A, Willeit P, Willeit J, Kiechl S, Valent D, Krismer F, Wenning GK, Nocker M, Mair K, Poewe W, Seppi K (2019) Prevalence and associated factors of sarcopenia and frailty in Parkinson’s disease: a cross-sectional study. Gerontology 65(3):216–228. https://doi.org/10.1159/000492572

    Article  PubMed  Google Scholar 

  16. Ntanasi E, Maraki M, Yannakoulia M, Stamelou M, Xiromerisiou G, Kosmidis MH, Dardiotis E, Hadjigeorgiou G, Sakka P, Gargalionis A, Patas K, Chatzipanagiotou S, Charisis S, Stefanis L, Scarmeas N (2021) Frailty and prodromal Parkinson’s disease: results from the HELIAD study. J Gerontol A Biol Sci Med Sci 76(4):622–629. https://doi.org/10.1093/gerona/glaa191

    Article  CAS  PubMed  Google Scholar 

  17. Abraham DS, Pham Nguyen TP, Willis AW (2021) Claims-based frailty and outcomes: applying an aging measure to older adults with Parkinson’s disease. Mov Disord 36(8):1871–1878. https://doi.org/10.1002/mds.28561

    Article  PubMed  PubMed Central  Google Scholar 

  18. Stebbins GT, Goetz CG, Burn DJ, Jankovic J, Khoo TK, Tilley BC (2013) How to identify tremor dominant and postural instability/gait difficulty groups with the movement disorder society unified Parkinson’s disease rating scale: Comparison with the unified Parkinson’s disease rating scale. Mov Disord 28(5):668–670. https://doi.org/10.1002/mds.25383

    Article  PubMed  Google Scholar 

  19. Postuma RB, Berg D, Stern M, Poewe W, Olanow CW, Oertel W, Obeso J, Marek K, Litvan I, Lang AE, Halliday G, Goetz CG, Gasser T, Dubois B, Chan P, Bloem BR, Adler CH, Deuschl G (2015) MDS clinical diagnostic criteria for Parkinson’s disease: MDS-PD Clinical Diagnostic Criteria. Mov Disord 30(12):1591–1601. https://doi.org/10.1002/mds.26424

    Article  PubMed  Google Scholar 

  20. Hoehn MM, Yahr MD (1998) Parkinsonism: onset, progression, and mortality. Neurology 50(2):318. https://doi.org/10.1212/wnl.50.2.318

    Article  PubMed  Google Scholar 

  21. Antonini A, Abbruzzese G, Ferini-Strambi L, Tilley B, Huang J, Stebbins GT, Goetz CG, Barone P, MDS-UPDRS Italian Validation Study Group, Bandettini di Poggio M, Fabbrini G, Di Stasio F, Tinazzi M, Bovi T, Ramat S, Meoni S, Pezzoli G, Canesi M, Martinelli P, Maria Scaglione CL, Rossi A, Tambasco N, Santangelo G, Picillo M, Morgante L, Morgante F, Quatrale R, Sensi M, Pilleri M, Biundo R, Nordera G, Caria A, Pacchetti C, Zangaglia R, Lopiano L, Zibetti M, Zappia M, Nicoletti A, Quattrone A, Salsone M, Cossu G, Murgia D, Albanese A, Del Sorbo F (2013) Validation of the Italian version of the Movement Disorder Society—Unified Parkinson’s Disease Rating Scale. Neurol Sci 34(5):683–687. https://doi.org/10.1007/s10072-012-1112-z

    Article  PubMed  Google Scholar 

  22. Cova I, Di Battista ME, Vanacore N, Papi CP, Alampi G, Rubino A, Valente M, Meco G, Contri P, Di Pucchio A, Lacorte E, Priori A, Mariani C, Pomati S (2017) Adaptation and psychometric properties of the Italian version of the Non-Motor Symptoms Questionnaire for Parkinson’s disease. Neurol Sci 38(4):673–678. https://doi.org/10.1007/s10072-017-2830-z

    Article  CAS  PubMed  Google Scholar 

  23. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H (2005) The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment: MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 53(4):695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.x

    Article  PubMed  Google Scholar 

  24. Bersani FS, Canevelli M, Cesari M, Maggioni E, Pasquini M, Wolkowitz OM, Ferracuti S, Biondi M, Bruno G (2020) Frailty Index as a clinical measure of biological age in psychiatry. J Affect Disord 268:183–187. https://doi.org/10.1016/j.jad.2020.03.015

    Article  PubMed  Google Scholar 

  25. Legge A, Kirkland S, Rockwood K, Andreou P, Bae SC, Gordon C, Romero-Diaz J, Sanchez-Guerrero J, Wallace DJ, Bernatsky S, Clarke AE, Merrill JT, Ginzler EM, Fortin P, Gladman DD, Urowitz MB, Bruce IN, Isenberg DA, Rahman A, Alarcón GS, Petri M, Khamashta MA, Dooley MA, Ramsey-Goldman R, Manzi S, Zoma AA, Aranow C, Mackay M, Ruiz-Irastorza G, Lim SS, Inanc M, van Vollenhoven RF, Jonsen A, Nived O, Ramos-Casals M, Kamen DL, Kalunian KC, Jacobsen S, Peschken CA, Askanase A, Hanly JG (2020) Construction of a frailty index as a novel health measure in systemic lupus erythematosus. J Rheumatol 47(1):72–81. https://doi.org/10.3899/jrheum.181338

    Article  PubMed  Google Scholar 

  26. Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, Mitnitski A (2005) A global clinical measure of fitness and frailty in elderly people. CMAJ 173(5):489–495. https://doi.org/10.1503/cmaj.050051

    Article  PubMed  PubMed Central  Google Scholar 

  27. Rockwood K, Song X, Mitnitski A (2011) Changes in relative fitness and frailty across the adult lifespan: evidence from the Canadian National Population Health Survey. CMAJ 183(8):E487-494. https://doi.org/10.1503/cmaj.101271

    Article  PubMed  PubMed Central  Google Scholar 

  28. Belvisi D, Canevelli M, Baione V, Buscarnu MC, Pellicciari G, Fantozzi R, Creta A, Cecchi G, Cola G, Nicoletti CG, Cortese A, De Giglio L, Tartaglia M, Crisafulli SG, Bruno G, Ferraro E, Marfia GA, Centonze D, Salvetti M, Conte A (2021) Operationalization of a frailty index in patients with multiple sclerosis: a cross-sectional investigation. Mult Scler. https://doi.org/10.1177/1352458520987541 (published online ahead of print, 2021 Feb 10)

    Article  PubMed  Google Scholar 

  29. Helmich RC, Janssen MJ, Oyen WJ, Bloem BR, Toni I (2011) Pallidal dysfunction drives a cerebellothalamic circuit into Parkinson tremor. Ann Neurol 69(2):269–281. https://doi.org/10.1002/ana.22361

    Article  PubMed  Google Scholar 

  30. Chaudhuri KR, Healy DG, Schapira AH, National Institute for Clinical Excellence (2006) Non-motor symptoms of Parkinson’s disease: diagnosis and management. Lancet Neurol 5(3):235–245. https://doi.org/10.1016/S1474-4422(06)70373-8

    Article  PubMed  Google Scholar 

  31. Chen Y-S, Chen H-L, Lu C-H, Chen M-H, Chou K-H, Tsai N-W, Yu C-C, Chiang P-L, Lin W-C (2019) Reduced lateral occipital gray matter volume is associated with physical frailty and cognitive impairment in Parkinson’s disease. Eur Radiol 29(5):2659–2668. https://doi.org/10.1007/s00330-018-5855-7

    Article  PubMed  Google Scholar 

  32. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, Seeman T, Tracy R, Kop WJ, Burke G, McBurnie MA, Cardiovascular Health Study Collaborative Research Group (2001) Frailty in Older Adults: Evidence for a Phenotype. J Gerontol A Biol Sci Med Sci 56(3):M146–M157. https://doi.org/10.1093/gerona/56.3.m146

    Article  CAS  PubMed  Google Scholar 

  33. Chen X, Mao G, Leng S (2014) Frailty syndrome: an overview. Clin Interv Aging 9:433–441. https://doi.org/10.2147/CIA.S45300

    Article  PubMed  PubMed Central  Google Scholar 

  34. Wallace LMK, Theou O, Darvesh S, Bennett DA, Buchman AS, Andrew MK, Kirkland SA, Fisk JD, Rockwood K (2020) Neuropathologic burden and the degree of frailty in relation to global cognition and dementia. Neurology 95(24):e3269–e3279. https://doi.org/10.1212/WNL.0000000000010944

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Wallace LMK, Theou O, Godin J, Andrew MK, Bennett DA, Rockwood K (2019) Investigation of frailty as a moderator of the relationship between neuropathology and dementia in Alzheimer’s disease: a cross-sectional analysis of data from the Rush Memory and Aging Project. Lancet Neurol 18(2):177–184. https://doi.org/10.1016/S1474-4422(18)30371-5

    Article  PubMed  Google Scholar 

  36. Canevelli M, Arisi I, Bacigalupo I, Arighi A, Galimberti D, Vanacore N, D’Onofrio M, Cesari M, Bruno G, Alzheimer’s Disease Neuroimaging Initiative (2020) Biomarkers and phenotypic expression in Alzheimer’s disease: exploring the contribution of frailty in the Alzheimer’s Disease Neuroimaging Initiative. Geroscience. https://doi.org/10.1007/s11357-020-00293-y (published online ahead of print, 2020 Nov 19)

    Article  PubMed  PubMed Central  Google Scholar 

  37. Vallet A, Del Campo N, Hoogendijk EO, Lokossou A, Balédent O, Czosnyka Z, Balardy L, Payoux P, Swider P, Lorthois S, Schmidt E (2020) Biomechanical response of the CNS is associated with frailty in NPH-suspected patients. J Neurol 267(5):1389–1400. https://doi.org/10.1007/s00415-019-09689-z

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Melissa Kerr for the language editing.

Funding

Nothing to declare.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giovanni Fabbrini.

Ethics declarations

Conflicts of interest

None of the authors have any potential conflicts of interest to disclose.

Ethical standards

The research documented in this manuscript has been carried out in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Belvisi, D., Canevelli, M., Costanzo, M. et al. The role of frailty in Parkinson’s disease: a cross-sectional study. J Neurol 269, 3006–3014 (2022). https://doi.org/10.1007/s00415-021-10873-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00415-021-10873-3

Keywords

Navigation