Sex-Related Longitudinal Change of Motor, Non-Motor, and Biological Features in Early Parkinson’s Disease

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Background:

Investigation of sex-related motor and non-motor differences and biological markers in Parkinson’s disease (PD) may improve precision medicine approach.

Objective:

To examine sex-related longitudinal changes in motor and non-motor features and biologic biomarkers in early PD.

Methods:

We compared 5-year longitudinal changes in de novo, untreated PD men and women (at baseline N = 423; 65.5%male) of the Parkinson’s Progression Markers Initiative (PPMI), assessing motor and non-motor manifestations of disease; and biologic measures in cerebrospinal fluid (CSF) and dopamine transporter deficit on DaTscan ^TM uptake.

Results:

Men experienced greater longitudinal decline in self-reported motor ( p < 0.001) and non-motor ( p = 0.009) aspects of experiences of daily living, such that men had a yearly increase in MDS-UPDRS part II by a multiplicative factor of 1.27 compared to women at 0.7, while men had a yearly increase in MDS-UPDRS part I by a multiplicative factor of 0.98, compared to women at 0.67. Compared to women, men had more longitudinal progression in clinician-assessed motor features in the ON medication state ( p = 0.010) and required higher dopaminergic medication dosages over time ( p = 0.014). Time to reach specific disease milestones and longitudinal changes in CSF biomarkers and DaTscan ^TM uptake were not different by sex.

Conclusion:

Men showed higher self-assessed motor and non-motor burden of disease, with possible contributions from suboptimal dopaminergic therapeutic response in men. However, motor features of disease evaluated with clinician-based scales in the OFF medication state, as well as biological biomarkers do not show specific sex-related progression patterns.

Related collections

Most cited references 41

Record: found
Abstract: found
Article: not found

Systematic review of levodopa dose equivalency reporting in Parkinson's disease.

Claire Tomlinson, Rebecca Stowe, Smitaa Patel … (2010)

Interpretation of clinical trials comparing different drug regimens for Parkinson's disease (PD) is complicated by the different dose intensities used: higher doses of levodopa and, possibly, other drugs produce better symptomatic control but more late complications. To address this problem, conversion factors have been calculated for antiparkinsonian drugs that yield a total daily levodopa equivalent dose (LED). LED estimates vary, so we undertook a systematic review of studies reporting LEDs to provide standardized formulae. Electronic database and hand searching of references identified 56 primary reports of LED estimates. Data were extracted and the mean and modal LEDs calculated. This yielded a standardized LED for each drug, providing a useful tool to express dose intensity of different antiparkinsonian drug regimens on a single scale. Using these conversion formulae to report LEDs would improve the consistency of reporting and assist the interpretation of clinical trials comparing different PD medications. © 2010 Movement Disorder Society.

0 comments Cited 971 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

The Parkinson Progression Marker Initiative (PPMI).

Kenneth Marek, Danna Jennings, Shirley Lasch … (2011)

The Parkinson Progression Marker Initiative (PPMI) is a comprehensive observational, international, multi-center study designed to identify PD progression biomarkers both to improve understanding of disease etiology and course and to provide crucial tools to enhance the likelihood of success of PD modifying therapeutic trials. The PPMI cohort will comprise 400 recently diagnosed PD and 200 healthy subjects followed longitudinally for clinical, imaging and biospecimen biomarker assessment using standardized data acquisition protocols at twenty-one clinical sites. All study data will be integrated in the PPMI study database and will be rapidly and publically available through the PPMI web site- www.ppmi-info.org. Biological samples including longitudinal collection of blood, cerebrospinal fluid (CSF) and urine will be available to scientists by application to an independent PPMI biospecimen review committee also through the PPMI web site. PPMI will rely on a partnership of government, PD foundations, industry and academics working cooperatively. This approach is crucial to enhance the potential for success of this ambitious strategy to develop PD progression biomarkers that will accelerate research in disease modifying therapeutics. Copyright © 2011 Elsevier Ltd. All rights reserved.

0 comments Cited 395 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

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.

D Burn, Joseph Jankovic, Jacky Goetz … (2013)

Formulas were developed to define tremor dominant (TD) and postural instability/gait difficulty (PIGD) phenotypes of Parkinson's Disease (PD) using the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS). TD and PIGD designations, based on the original Unified Parkinson's Disease Rating Scale (UPDRS), provided useful designations for classifying different phenotypes of PD. With the advent of the MDS-UPDRS, a valid set of calculations for these phenotypes is needed. UPDRS and MDS-UPDRS scores were collected on 877 PD patients. TD/PIGD scores were calculated using the UPDRS formula for all patients. Comparable TD and PIGD items from the MDS-UPDRS were used to calculate new ratios. Data were analyzed using receiver operating characteristic models. The new MDS-UPDRS TD/PIGD ratios accounted for a significant area under the curve compared with the UPDRS classification. Optimal sensitivity and specificity were obtained with MDS-UPDRS cutoff scores of ≥1.15 for TD classification and ≤0.90 for PIGD. The development of comparable and valid PIGD and TD scores from the MDS-UPDRS provides a clear method for clinicians and researchers to transition from the original UPDRS to the new MDS-UPDRS in categorizing patients with different clinical phenotypes. © 2013 Movement Disorder Society. Copyright © 2013 Movement Disorder Society.

0 comments Cited 251 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Journal

Journal ID (nlm-ta): J Parkinsons Dis

Journal ID (iso-abbrev): J Parkinsons Dis

Journal ID (publisher-id): JPD

Title: Journal of Parkinson's Disease

Publisher: IOS Press (Nieuwe Hemweg 6B, 1013 BG Amsterdam, The Netherlands )

ISSN (Print): 1877-7171

ISSN (Electronic): 1877-718X

Publication date (Electronic, preprint): 4 November 2021

Publication date (Electronic, pub): 21 January 2022

Publication date (Electronic, collection): 2022

Volume: 12

Issue: 1

Pages: 421-436

Affiliations

[a ]Center for Neurodegenerative Diseases (CEMAND), Department of Medicine, Surgery and Dentistry, Neuroscience Section, University of Salerno , Italy

[b ]Department of Biostatistics, The University of Iowa , Iowa City, IA, USA

[c ]Department of Neurology, Icahn School of Medicine at Mount Sinai and Mount Sinai Beth Israel, New York, NY, USA

[d ]Department of Neurology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA, USA

[e ]Weill Institute for Neuroscience, Department of Neurology, University of California–San Francisco , & Parkinson’s Disease Research Education and Clinical Center, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA

[f ]Department of Neurology, University of Alabama at Birmingham , Birmingham, AL, USA

Author notes

[ § ]

Statistical analysis was conducted by David-Erick La Fontant, Chelsea Caspell-Garcia, Christopher Coffey, Hyunkeun Ryan Cho and Elliot L Burghardt from the Department of Biostatistics, The University of Iowa, Iowa City, IA, USA.

[* ]Correspondence to: Amy W. Amara, MD, PhD, University of Alabama at Birmingham SC360A, 1720 2nd Ave S., Birmingham, AL 35294-0017, USA. E-mail: aamara@ 123456uabmc.edu .

Article

Publisher ID: JPD212892

DOI: 10.3233/JPD-212892

PMC ID: 8842783

PubMed ID: 34744052

SO-VID: 39484a03-2434-49fc-8b45-9787d747da6e

License:

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

History

Date accepted : 3 October 2021

Comments

Comment on this article

scite_

Smart Citations

Citing PublicationsSupportingMentioningContrasting

View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

Cited by 15

See all cited by

Most referenced authors 583

See all reference authors

Sex-Related Longitudinal Change of Motor, Non-Motor, and Biological Features in Early Parkinson’s Disease

Read this article at

Abstract

Background:

Objective:

Methods:

Results:

Conclusion:

Related collections

Embodied Memory

Most cited references 41

Systematic review of levodopa dose equivalency reporting in Parkinson's disease.

The Parkinson Progression Marker Initiative (PPMI).

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.

Author and article information

Journal

Affiliations

Author notes

Article

History

Categories

Comments

Comment on this article

Similar content 110

Cited by 15

Most referenced authors 583