Parkinson’s Progression Markers Initiative: A Milestone-Based Strategy to Monitor Parkinson’s Disease Progression

Author:

Brumm Michael C.1,Siderowf Andrew2,Simuni Tanya3,Burghardt Elliot1,Choi Seung Ho1,Caspell-Garcia Chelsea1,Chahine Lana M.4,Mollenhauer Brit56,Foroud Tatiana7,Galasko Douglas8,Merchant Kalpana3,Arnedo Vanessa9,Hutten Samantha J.9,O’Grady Alyssa N.9,Poston Kathleen L.10,Tanner Caroline M.1112,Weintraub Daniel21314,Kieburtz Karl15,Marek Kenneth16,Coffey Christopher S.1,

Affiliation:

1. Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA

2. Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

3. Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA

4. Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA

5. Department of Neurology, University Medical Center Goettingen, Goettingen, Germany

6. Paracelsus-Elena Klinik, Kassel, Germany

7. Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA

8. Department of Neurology, University of California, San Diego, CA, USA

9. The Michael J. Fox Foundation for Parkinson’s Research, New York, NY, USA

10. Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA

11. Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, SanFrancisco, CA, USA

12. Parkinson’s Disease Research, Education and Clinical Center, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA

13. Departmentof Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

14. Parkinson’s Disease Research, Education and Clinical Center, Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA

15. University of Rochester Medical Center, University of Rochester, Rochester, NY, USA.

16. Institute for Neurodegenerative Disorders, New Haven, CT, USA

Abstract

Background: Identifying a meaningful progression metric for Parkinson’s disease (PD) that reflects heterogeneity remains a challenge. Objective: To assess the frequency and baseline predictors of progression to clinically relevant motor and non-motor PD milestones. Methods: Using data from the Parkinson’s Progression Markers Initiative (PPMI) de novo PD cohort, we monitored 25 milestones across six domains (“walking and balance”; “motor complications”; “cognition”; “autonomic dysfunction”; “functional dependence”; “activities of daily living”). Milestones were intended to be severe enough to reflect meaningful disability. We assessed the proportion of participants reaching any milestone; evaluated which occurred most frequently; and conducted a time-to-first-event analysis exploring whether baseline characteristics were associated with progression. Results: Half of participants reached at least one milestone within five years. Milestones within the cognitive, functional dependence, and autonomic dysfunction domains were reached most often. Among participants who reached a milestone at an annual follow-up visit and remained active in the study, 82% continued to meet criteria for any milestone at one or more subsequent annual visits and 55% did so at the next annual visit. In multivariable analysis, baseline features predicting faster time to reaching a milestone included age (p < 0.0001), greater MDS-UPDRS total scores (p < 0.0001), higher GDS-15 depression scores (p = 0.0341), lower dopamine transporter binding (p = 0.0043), and lower CSF total α-synuclein levels (p = 0.0030). Symptomatic treatment was not significantly associated with reaching a milestone (p = 0.1639). Conclusion: Clinically relevant milestones occur frequently, even in early PD. Milestones were significantly associated with baseline clinical and biological markers, but not with symptomatic treatment. Further studies are necessary to validate these results, further assess the stability of milestones, and explore translating them into an outcome measure suitable for observational and therapeutic studies.

Publisher

IOS Press

Subject

Cellular and Molecular Neuroscience,Neurology (clinical)

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