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1. Standardizing default electronic health record tools to improve safety for hospitalized patients with Parkinson’s disease

Author

Allan D. Wu, Benjamin L. Walter, Anne Brooks, Emily Buetow, Katherine Amodeo, Irene Richard, Kelly Mundth, and Hooman Azmi

Subjects
electronic health record, Parkinson’s disease, hospitalization, safety, Epic Systems, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Electronic Health Record (EHR) systems are often configured to address challenges and improve patient safety for persons with Parkinson’s disease (PWP). For example, EHR systems can help identify Parkinson’s disease (PD) patients across the hospital by flagging a patient’s diagnosis in their chart, preventing errors in medication and dosing through the use of clinical decision support, and supplementing staff education through care plans that provide step-by-step road maps for disease-based care of a specific patient population. However, most EHR-based solutions are locally developed and, thus, difficult to scale widely or apply uniformly across hospital systems. In 2020, the Parkinson’s Foundation, a national and international leader in PD research, education, and advocacy, and Epic, a leading EHR vendor with more than 35% market share in the United States, launched a partnership to reduce risks to hospitalized PWP using standardized EHR-based solutions. This article discusses that project which included leadership from physician informaticists, movement disorders specialists, hospital quality officers, the Parkinson’s Foundation and members of the Parkinson’s community. We describe the best practice solutions developed through this project. We highlight those that are currently available as standard defaults or options within the Epic EHR, discuss the successes and limitations of these solutions, and consider opportunities for scalability in environments beyond a single EHR vendor. The Parkinson’s Foundation and Epic launched a partnership to develop best practice solutions in the Epic EHR system to improve safety for PWP in the hospital. The goal of the partnership was to create the EHR tools that will have the greatest impact on outcomes for hospitalized PWP.

Published
2024
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2. Neuropsychiatric symptoms and cognitive abilities over the initial quinquennium of Parkinson disease

Author

Daniel Weintraub, Chelsea Caspell‐Garcia, Tanya Simuni, Hyunkeun R. Cho, Christopher S. Coffey, Dag Aarsland, Roy N. Alcalay, Matthew J. Barrett, Lana M. Chahine, Jamie Eberling, Alberto J. Espay, Jamie Hamilton, Keith A. Hawkins, James Leverenz, Irene Litvan, Irene Richard, Liana S. Rosenthal, Andrew Siderowf, Michele York, and Parkinson’s Progression Markers Initiative

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Objective To determine the evolution of numerous neuropsychiatric symptoms and cognitive abilities in Parkinson disease from disease onset. Methods Prospectively collected, longitudinal (untreated, disease onset to year 5), observational data from Parkinson's Progression Markers Initiative annual visits was used to evaluate prevalence, correlates, and treatment of 10 neuropsychiatric symptoms and cognitive impairment in Parkinson disease participants and matched healthy controls. Results Of 423 Parkinson disease participants evaluated at baseline, 315 (74.5%) were assessed at year 5. Eight neuropsychiatric symptoms studied increased in absolute prevalence by 6.2–20.9% at year 5 relative to baseline, and cognitive impairment increased by 2.7–6.2%. In comparison, the frequency of neuropsychiatric symptoms in healthy controls remained stable or declined over time. Antidepressant and anxiolytic/hypnotic use in Parkinson disease were common at baseline and increased over time (18% to 27% for the former; 13% to 24% for the latter); antipsychotic and cognitive‐enhancing medication use was uncommon throughout (2% and 5% of patients at year 5); and potentially harmful anticholinergic medication use was common and increased over time. At year 5 the cross‐sectional prevalence for having three or more neuropsychiatric disorders/cognitive impairment was 56% for Parkinson disease participants versus 13% for healthy controls, and by then seven of the examined disorders had either occurred or been treated at some time point in the majority of Parkinson disease patients. Principal component analysis suggested an affective disorder subtype only. Interpretation Neuropsychiatric features in Parkinson disease are common from the onset, increase over time, are frequently comorbid, and fluctuate in severity.

Published
2020
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3. Hoehn and Yahr Stage and Striatal Dat-SPECT Uptake Are Predictors of Parkinson’s Disease Motor Progression

Author

Holly Jackson, Judith Anzures-Cabrera, Kirsten I. Taylor, Gennaro Pagano, PASADENA Investigators, Prasinezumab Study Group, Claudia Altendorf, Chareyna Anandan, Giulia Andrews, Solène Ansquer, Raphaele Arrouasse, Sana Aslam, Jean-Philippe Azulay, Jeanette Baker, Ernest Balaguer Martinez, Shadi Barbu, Kara Bardram, Danny Bega, Helena Bejr-Kasem Marco, Isabelle Benatru, Eve Benchetrit, Felix Bernhard, Amir Besharat, Sagari Bette, Amelie Bichon, Andrew Billnitzer, Sophie Blondeau, Thomas Boraud, Freiderike Borngräber, James Boyd, Kathrin Brockmann, Matthew Brodsky, Ethan Brown, Christof Bruecke, Fabienne Calvas, Monica Canelo, Federico Carbone, Claire Carroll, Laura Casado Fernandez, Catherine Cassé-Perrot, Anna Castrioto, Helene Catala, Justine Chan, Samia Cheriet, Anthony Ciabarra, Joseph Classen, Juliana Coleman, Robert Coleman, Yaroslau Compta, Anne-Gaëlle Corbillé, Jean-Christophe Corvol, Mariana Cosgaya, Nabila Dahodwala, Philippe Damier, Elodie David, Thomas Davis, Marissa Dean, Berengere Debilly, Janell DeGiorgio, Andres Deik, Laure Delaby, Marie-Helene Delfini, Pascal Derkinderen, Philipp Derost, Maria de Toledo, Lisa Deuel, Ann Marie Diaz-Hernandez, Cameron Dietiker, Karina Dimenshteyn, Julio Dotor, Franck Durif, Jens Ebentheuer, Karla Maria Eggert, Sara Eichau Madueño, Claudia Eickhoff, Aaron Ellenbogen, Philipp Ellmerer, Ines Esparragosa Vazquez, Alexandre Eusebio, Siobhan Ewert, John Fang, Danielle Feigenbaum, Frederique Fluchere, Alexandra Foubert-Samier, Marie Fournier, Anne Fradet, Valerie Fraix, Samuel Frank, Franca Fries, Monique Galitzky, Marisol Gallardó Pérez, Jose Manuel García Moreno, Carmen Gasca, Thomas Gasser, Joyce Gibbons, Caroline Giordana, Alicia Gonzalez Martinez, Ira Goodman, Arantza Gorospe, Marie Goubeaud, David Grabli, Mangone Graziella, Stephan Grimaldi, Jeffrey Gross, Raquel Guimaraes-Costa, Andreas Hartmann, Christian Hartmann, Travis Hassell, Robert Hauser, Antonio Hernandez, Jorge Hernandez-Vara, Guenter Hoeglinger, Christian Homedes, Andrea Horta-Barba, Jean-Luc Houeto, Julius Huebl, Jennifer Hui, Stuart Isaacson, Joseph Jankovic, Annette Janzen, Junior Jauregui, Jocelyne Jiao, Maria Jose Marti Domenech, Xavier Joseph, Srinath Kadimi, Pat Kaminski, Silja Kannenberg, Jan Kassubek, Maya Katz, Kevin Klos, Shannon Klos, Christopher Kobet, Jennifer Koebert, Patricia Krause, Andrea Kuehn, Jaime Kulisevsky Bojarsky, Rajeev Kumar, Martin Kunz, Lille Kurvits, Kimberly Kwei, Simon Laganiere, Brice Laurens, Johannes Levin, Oren Levy, Peter LeWitt, Gurutz Linazasoro Cristóbal, Irene Litvan, Karlo Lizarraga, Katherine Longardner, Rocio Lopez, Lydia Lopez Manzanares, Sara Lucas del Pozo, Maria Rosario Luquin Puido, Nijee Luthra, Kelly Lyons, Sylvia Maass, Gerrit Machetanz, Yolanda Macias, David Maltete, Jorge Uriel Manez Miro, Louise-Laure Mariani, Juan Marin, Kathrin Marini, Ana Marques, Gloria Marti, Saul Martinez, Wassilios Meissner, Sara Meoni, Brit Mollenhauer, Dunia Mon Martinez, Johnson Moon, Elena Moro, Peter Morrison, Christoph Muehlberg, Manpreet Multani, Christine Murphy, Anthony Nicholas, Rajesh Pahwa, Antonio Palasi, Heidi Pape, Neepa Patel, Prity Patel, Marina Peball, Elizabeth Peckham, Terry Peery, Rafael Perez, Jesus Perez, Alisa Petit, Elmar Pinkhardt, Werner Poewe, Elsa Pomies, Cecile Preterre, Joseph Quinn, Olivier Rascol, Philippe Remy, Irene Richard, Benjamin Roeben, Emily Ruether, Jost-Julian Rumpf, David Russell, Hayet Salhi, Daniela Samaniego-Toro, Alexandra Samier-Foubert, Antonio Sanchez, Emmanuelle Schmitt, Alfons Schnitzler, Oliver Schorr, Julie Schwartzbard, Kerstin Schweyer, Klaus Seppi, Victoria Sergo, Holly Shill, Andrew Siderowf, Tanya Simuni, Umberto Spampinato, Ashok Sriram, Natividad Stover, Caroline Tanner, Arjun Tarakad, Carolyn Taylor, Claire Thalamus, Thomas Toothaker, Nadege Van Blercom, Nora Vanegas-Arrogave, Lydia Vela, Sylvian Vergnet, Tiphaine Vidal, Jonathan Vöglein, Ryan Walsh, Cheryl Waters, Mirko Wegscheider, Endy Weidinger, Caroline Weill, Gregor Wenzel, Tatiana Witjas, Isabel Wurster, Brenton Wright, Milan Zimmermann, Rafael Zuzuarregui, Markus Abt, Atieh Bamdadian, Teresa Barata, Nicholas Barbet, Sara Belli, Frank Boess, Azad Bonni, Edilio Borroni, Anne Boulay, Markus Britschgi, Jerome Chague, Valerie Cosson, Christian Czech, Dennis Deptula, Cheikh Diack, Rachelle Doody, Juergen Dukart, Giulia D’Urso, Sebastian Dziadek, Hannah Eddleston, Chris Edgar, Laurent Essioux, Morgan Farell, Rebecca Finch, Paulo Fontoura, Waltraud Gruenbauer, Andrea Hahn, Stefan Holiga, Michael Honer, Shirin Jadidi, Kelly Johnson-Wood, Markus Keller, Timothy Kilchenmann, Martin Koller, Thomas Kremer, Thomas Kustermann, Claire Landsdall, Michael Lindemann, Florian Lipsmeier, Cecile Luzy, Marianne Manchester, Maddalena Marchesi, Ferenc Martenyi, Meret Martin-Facklam, Katerina Mironova, Annabelle Monnet, Emma Moore, Daniel K Ness, Markus Niggli, Tania Nikolcheva, Susanne Ostrowitzki GP, Benedicte Passmard, Agnes Poirier, Anke Post, Megana Prasad, Nathalie Pross, Tiffany Quock, Benedicte Ricci, Ellen Rose, Christoph Sarry, Christine Schubert, Dennis Selkoe, Jeff Sevigny, Kaycee Sink, Hannah Staunton, Tim Steven, Alexander Strasak, Hanno Svoboda KT, Radhika Tripuraneni, Dylan Trundell, Daniel Umbricht, Lynne Verselis, Annamarie Vogt, Ekaterina Volkova-Volkmar, Cornelia Weber, Silke Weber, and Wagner Zago

Subjects
PASADENA, PPMI (Parkinson’s Progression Markers Initiative), Parkinson’s disease, progression predictors, ridge regression, disease stage, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Currently, no treatments available for Parkinson’s disease (PD) can slow PD progression. At the early stage of the disease, only a subset of individuals with PD progress quickly, while the majority have a slowly progressive form of the disease. In developing treatments that aim to slow PD progression, clinical trials aim to include individuals who are likely to progress faster, such that a treatment effect, if one exists, can be identified easier and earlier. The aim of the present study was to identify baseline predictors of clinical progression in early PD. We analyzed 12-month data acquired from the PASADENA trial Part 1 (NCT03100149, n = 76 participants who were allocated to the placebo arm and did not start symptomatic therapy) and the Parkinson’s Progression Markers Initiative (PPMI) study (n = 139 demographically and clinically matched participants). By using ridge regression models including clinical characteristics, imaging, and non-imaging biomarkers, we found that Hoehn and Yahr stage and dopamine transporter single-photon emission computed tomography specific binding ratios (Dat-SPECT SBR) in putamen ipsilateral to the side of motor symptom onset predicted PD progression at the early stage of the disease. Further studies are needed to confirm the validity of these predictors to identify with high accuracy individuals with early PD with a faster progression phenotype.

Published
2021
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4. A Phase II Study to Evaluate the Safety and Efficacy of Prasinezumab in Early Parkinson's Disease (PASADENA): Rationale, Design, and Baseline Data

Author

Gennaro Pagano, Frank G. Boess, Kirsten I. Taylor, Benedicte Ricci, Brit Mollenhauer, Werner Poewe, Anne Boulay, Judith Anzures-Cabrera, Annamarie Vogt, Maddalena Marchesi, Anke Post, Tania Nikolcheva, Gene G. Kinney, Wagner M. Zago, Daniel K. Ness, Hanno Svoboda, Markus Britschgi, Susanne Ostrowitzki, Tanya Simuni, Kenneth Marek, Martin Koller, Jeff Sevigny, Rachelle Doody, Paulo Fontoura, Daniel Umbricht, Azad Bonni, PASADENA Investigators, Prasinezumab Study Group, Claudia Altendorf, Chareyna Anandan, Giulia Andrews, Solène Ansquer, Raphaele Arrouasse, Sana Aslam, Jean-Philippe Azulay, Jeanette Baker, Ernest Balaguer Martinez, Shadi Barbu, Kara Bardram, Danny Bega, Helena Bejr-Kasem Marco, Isabelle Benatru, Eve Benchetrit, Felix Bernhard, Amir Besharat, Sagari Bette, Amelie Bichon, Andrew Billnitzer, Sophie Blondeau, Thomas Boraud, Freiderike Borngräber, James Boyd, Kathrin Brockmann, Matthew Brodsky, Ethan Brown, Christof Bruecke, Fabienne Calvas, Monica Canelo, Federico Carbone, Claire Carroll, Laura Casado Fernandez, Catherine Cassé-Perrot, Anna Castrioto, Helene Catala, Justine Chan, Samia Cheriet, Anthony Ciabarra, Joseph Classen, Juliana Coleman, Robert Coleman, Yaroslau Compta, Anne-Gaëlle Corbillé, Jean-Christophe Corvol, Mariana Cosgaya, Nabila Dahodwala, Philippe Damier, Elodie David, Thomas Davis, Marissa Dean, Berengere Debilly, Janell DeGiorgio, Andres Deik, Laure Delaby, Marie-Helene Delfini, Pascal Derkinderen, Philipp Derost, Maria de Toledo, Lisa Deuel, Ann Marie Diaz-Hernandez, Cameron Dietiker, Karina Dimenshteyn, Julio Dotor, Franck Durif, Jens Ebentheuer, Karla Maria Eggert, Sara Eichau Madueño, Claudia Eickhoff, Aaron Ellenbogen, Philipp Ellmerer, Ines Esparragosa Vazquez, Alexandre Eusebio, Siobhan Ewert, John Fang, Danielle Feigenbaum, Frederique Fluchere, Alexandra Foubert-Samier, Marie Fournier, Anne Fradet, Valerie Fraix, Samuel Frank, Franca Fries, Monique Galitzky, Marisol Gallardó Pérez, Jose Manuel García Moreno, Carmen Gasca, Thomas Gasser, Joyce Gibbons, Caroline Giordana, Alicia Gonzalez Martinez, Ira Goodman, Arantza Gorospe, Marie Goubeaud, David Grabli, Mangone Graziella, Stephan Grimaldi, Jeffrey Gross, Raquel Guimaraes-Costa, Andreas Hartmann, Christian Hartmann, Travis Hassell, Robert Hauser, Antonio Hernandez, Jorge Hernandez-Vara, Günter Höglinger, Christian Homedes, Andrea Horta-Barba, Jean-Luc Houeto, Julius Huebl, Jennifer Hui, Stuart Isaacson, Joseph Jankovic, Annette Janzen, Junior Jauregui, Jocelyne Jiao, Maria Jose Marti Domenech, Xavier Joseph, Srinath Kadimi, Pat Kaminski, Silja Kannenberg, Jan Kassubek, Maya Katz, Kevin Klos, Shannon Klos, Christopher Kobet, Jennifer Koebert, Patricia Krause, Andrea Kuehn, Jaime Kulisevsky Bojarsky, Rajeev Kumar, Martin Kunz, Lille Kurvits, Kimberly Kwei, Simon Laganiere, Brice Laurens, Johannes Levin, Oren Levy, Peter LeWitt, Gurutz Linazasoro Cristóbal, Irene Litvan, Karlo Lizarraga, Katherine Longardner, Rocio Lopez, Lydia Lopez Manzanares, Sara Lucas del Pozo, Maria Rosario Luquin Puido, Nijee Luthra, Kelly Lyons, Sylvia Maass, Gerrit Machetanz, Yolanda Macias, David Maltete, Jorge Uriel Manez Miro, Louise-Laure Mariani, Juan Marin, Kathrin Marini, Ana Marques, Gloria Marti, Saul Martinez, Wassilios Meissner, Sara Meoni, Dunia Mon Martinez, Johnson Moon, Elena Moro, Peter Morrison, Christoph Muehlberg, Manpreet Multani, Christine Murphy, Anthony Nicholas, Rajesh Pahwa, Antonio Palasi, Heidi Pape, Neepa Patel, Prity Patel, Marina Peball, Elizabeth Peckham, Terry Peery, Rafael Perez, Jesus Perez, Alisa Petit, Elmar Pinkhardt, Elsa Pomies, Cecile Preterre, Joseph Quinn, Olivier Rascol, Philippe Remy, Irene Richard, Benjamin Roeben, Emily Ruether, Jost-Julian Rumpf, David Russell, Hayet Salhi, Daniela Samaniego-Toro, Alexandra Samier-Foubert, Antonio Sanchez, Emmanuelle Schmitt, Alfons Schnitzler, Oliver Schorr, Julie Schwartzbard, Kerstin Schweyer, Klaus Seppi, Victoria Sergo, Holly Shill, Andrew Siderowf, Umberto Spampinato, Ashok Sriram, Natividad Stover, Caroline Tanner, Arjun Tarakad, Carolyn Taylor, Claire Thalamus, Thomas Toothaker, Nadege Van Blercom, Nora Vanegas-Arrogave, Lydia Vela, Sylvian Vergnet, Tiphaine Vidal, Jonathan Vöglein, Ryan Walsh, Cheryl Waters, Mirko Wegscheider, Endy Weidinger, Caroline Weill, Gregor Wenzel, Tatiana Witjas, Isabel Wurster, Brenton Wright, Milan Zimmermann, Rafael Zuzuarregui, Markus Abt, Atieh Bamdadian, Teresa Barata, Nicholas Barbet, Sara Belli, Frank Boess, Edilio Borroni, Jerome Chague, Valerie Cosson, Christian Czech, Dennis Deptula, Cheikh Diack, Juergen Dukart, Giulia D'Urso, Sebastian Dziadek, Hannah Eddleston, Chris Edgar, Laurent Essioux, Morgan Farell, Rebecca Finch, Waltraud Gruenbauer, Andrea Hahn, Stefan Holiga, Michael Honer, Shirin Jadidi, Kelly Johnson-Wood, Markus Keller, Timothy Kilchenmann, Thomas Kremer, Thomas Kustermann, Claire Landsdall, Michael Lindemann, Florian Lipsmeier, Cecile Luzy, Marianne Manchester, Ferenc Martenyi, Meret Martin-Facklam, Katerina Mironova, Annabelle Monnet, Emma Moore, Daniel K Ness, Markus Niggli, Benedicte Passmard, Agnes Poirier, Megana Prasad, Nathalie Pross, Tiffany Quock, Ellen Rose, Christoph Sarry, Christine Schubert, Dennis Selkoe, Kaycee Sink, Hannah Staunton, Tim Steven, Alexander Strasak, Kirsten Taylor, Radhika Tripuraneni, Dylan Trundell, Lynne Verselis, Ekaterina Volkova-Volkmar, Cornelia Weber, Silke Weber, and Wagner Zago

Subjects
Parkinson's disease, alpha-synuclein (α-syn), prasinezumab, monoclonal antibodies, disease progression, MDS-UPDRS = Movement Disorder Society—Unified Parkinson's Disease Rating Scale, Neurology. Diseases of the nervous system, RC346-429
Abstract

Background: Currently available treatments for Parkinson's disease (PD) do not slow clinical progression nor target alpha-synuclein, a key protein associated with the disease.Objective: The study objective was to evaluate the efficacy and safety of prasinezumab, a humanized monoclonal antibody that binds aggregated alpha-synuclein, in individuals with early PD.Methods: The PASADENA study is a multicenter, randomized, double-blind, placebo-controlled treatment study. Individuals with early PD, recruited across the US and Europe, received monthly intravenous doses of prasinezumab (1,500 or 4,500 mg) or placebo for a 52-week period (Part 1), followed by a 52-week extension (Part 2) in which all participants received active treatment. Key inclusion criteria were: aged 40–80 years; Hoehn & Yahr (H&Y) Stage I or II; time from diagnosis ≤2 years; having bradykinesia plus one other cardinal sign of PD (e.g., resting tremor, rigidity); DAT-SPECT imaging consistent with PD; and either treatment naïve or on a stable monoamine oxidase B (MAO-B) inhibitor dose. Study design assumptions for sample size and study duration were built using a patient cohort from the Parkinson's Progression Marker Initiative (PPMI). In this report, baseline characteristics are compared between the treatment-naïve and MAO-B inhibitor-treated PASADENA cohorts and between the PASADENA and PPMI populations.Results: Of the 443 patients screened, 316 were enrolled into the PASADENA study between June 2017 and November 2018, with an average age of 59.9 years and 67.4% being male. Mean time from diagnosis at baseline was 10.11 months, with 75.3% in H&Y Stage II. Baseline motor and non-motor symptoms (assessed using Movement Disorder Society—Unified Parkinson's Disease Rating Scale [MDS-UPDRS]) were similar in severity between the MAO-B inhibitor-treated and treatment-naïve PASADENA cohorts (MDS-UPDRS sum of Parts I + II + III [standard deviation (SD)]; 30.21 [11.96], 32.10 [13.20], respectively). The overall PASADENA population (63.6% treatment naïve and 36.4% on MAO-B inhibitor) showed a similar severity in MDS-UPDRS scores (e.g., MDS-UPDRS sum of Parts I + II + III [SD]; 31.41 [12.78], 32.63 [13.04], respectively) to the PPMI cohort (all treatment naïve).Conclusions: The PASADENA study population is suitable to investigate the potential of prasinezumab to slow disease progression in individuals with early PD.Trial Registration: NCT03100149.

Published
2021
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5. Lewy Body Dementia Association’s Research Centers of Excellence Program: Inaugural Meeting Proceedings

Author

Bethany Peterson, Melissa Armstrong, Douglas Galasko, James E. Galvin, Jennifer Goldman, David Irwin, Henry Paulson, Daniel Kaufer, James Leverenz, Angela Lunde, Ian G. McKeith, Andrew Siderowf, Angela Taylor, Katherine Amodeo, Matt Barrett, Kimiko Domoto-Reilly, John Duda, Stephen Gomperts, Neill Graff-Radford, Samantha Holden, Lawrence Honig, Daniel Huddleston, Carol Lippa, Irene Litvan, Carol Manning, Karen Marder, Charbel Moussa, Chiadi Onyike, Fernando Pagan, Alexander Pantelyat, Victoria Pelak, Kathleen Poston, Joseph Quinn, Irene Richard, Liana S. Rosenthal, Marwan Sabbagh, Douglas Scharre, Sharon Sha, Holly Shill, Yasar Torres-Yaghi, Tina Christie, Todd Graham, Ian Richards, Mike Koehler, and Brad Boeve

Subjects
Lewy body dementia, Lewy Body Dementia Association, Parkinson’s disease dementia, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract The first Lewy Body Dementia Association (LBDA) Research Centers of Excellence (RCOE) Investigator’s meeting was held on December 14, 2017, in New Orleans. The program was established to increase patient access to clinical experts on Lewy body dementia (LBD), which includes dementia with Lewy bodies (DLB) and Parkinson’s disease dementia (PDD), and to create a clinical trials-ready network. Four working groups (WG) were created to pursue the LBDA RCOE aims: (1) increase access to high-quality clinical care, (2) increase access to support for people living with LBD and their caregivers, (3) increase knowledge of LBD among medical and allied (or other) professionals, and (4) create infrastructure for a clinical trials-ready network as well as resources to advance the study of new therapeutics.

Published
2019
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6. Cognition among individuals along a spectrum of increased risk for Parkinson's disease.

Author

Lana M Chahine, Liz Urbe, Chelsea Caspell-Garcia, Dag Aarsland, Roy Alcalay, Paolo Barone, David Burn, Alberto J Espay, Jamie L Hamilton, Keith A Hawkins, Shirley Lasch, James B Leverenz, Irene Litvan, Irene Richard, Andrew Siderowf, Christopher S Coffey, Tanya Simuni, Daniel Weintraub, and Parkinson’s Progression Markers Initiative

Subjects
Medicine, Science
Abstract

INTRODUCTION:Several characteristics associated with increased risk for Parkinson's disease (PD) have been identified, including specific genotypes and various non-motor symptoms. Characterizing non-motor features, such as cognitive abilities, among individuals considered at-risk for PD is essential to improving prediction of future neurodegeneration. METHODS:Participants belonging to the following cohorts of the Parkinson Progression Markers Initiative (PPMI) study were included: de novo PD with dopamine transporter binding deficit (n = 423), idiopathic REM sleep behavior disorder (RBD, n = 39), hyposmia (n = 26) and non-PD mutation carrier (NMC; Leucine-rich repeat kinase 2 (LRRK2) G2019S (n = 88) and glucocerebrosidase (GBA) gene (n = 38) mutations)). Inclusion criteria enriched the RBD and hyposmia cohorts, but not the NMC cohort, with individuals with dopamine transporter binding deficit. Baseline neuropsychological performance was compared, and analyses were adjusted for age, sex, education, and depression. RESULTS:The RBD cohort performed significantly worse than the hyposmia and NMC cohorts on Symbol Digit Modality Test (mean (SD) 32.4 (9.16) vs. 41.8 (9.98), p = 0.002 and vs. 45.2 (10.9), p

Published
2018
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7. Multiple modality biomarker prediction of cognitive impairment in prospectively followed de novo Parkinson disease.

Author

Chelsea Caspell-Garcia, Tanya Simuni, Duygu Tosun-Turgut, I-Wei Wu, Yu Zhang, Mike Nalls, Andrew Singleton, Leslie A Shaw, Ju-Hee Kang, John Q Trojanowski, Andrew Siderowf, Christopher Coffey, Shirley Lasch, Dag Aarsland, David Burn, Lana M Chahine, Alberto J Espay, Eric D Foster, Keith A Hawkins, Irene Litvan, Irene Richard, Daniel Weintraub, and Parkinson’s Progression Markers Initiative (PPMI)

Subjects
Medicine, Science
Abstract

To assess the neurobiological substrate of initial cognitive decline in Parkinson's disease (PD) to inform patient management, clinical trial design, and development of treatments.We longitudinally assessed, up to 3 years, 423 newly diagnosed patients with idiopathic PD, untreated at baseline, from 33 international movement disorder centers. Study outcomes were four determinations of cognitive impairment or decline, and biomarker predictors were baseline dopamine transporter (DAT) single photon emission computed tomography (SPECT) scan, structural magnetic resonance imaging (MRI; volume and thickness), diffusion tensor imaging (mean diffusivity and fractional anisotropy), cerebrospinal fluid (CSF; amyloid beta [Aβ], tau and alpha synuclein), and 11 single nucleotide polymorphisms (SNPs) previously associated with PD cognition. Additionally, longitudinal structural MRI and DAT scan data were included. Univariate analyses were run initially, with false discovery rate = 0.2, to select biomarker variables for inclusion in multivariable longitudinal mixed-effect models.By year 3, cognitive impairment was diagnosed in 15-38% participants depending on the criteria applied. Biomarkers, some longitudinal, predicting cognitive impairment in multivariable models were: (1) dopamine deficiency (decreased caudate and putamen DAT availability); (2) diffuse, cortical decreased brain volume or thickness (frontal, temporal, parietal, and occipital lobe regions); (3) co-morbid Alzheimer's disease Aβ amyloid pathology (lower CSF Aβ 1-42); and (4) genes (COMT val/val and BDNF val/val genotypes).Cognitive impairment in PD increases in frequency 50-200% in the first several years of disease, and is independently predicted by biomarker changes related to nigrostriatal or cortical dopaminergic deficits, global atrophy due to possible widespread effects of neurodegenerative disease, co-morbid Alzheimer's disease plaque pathology, and genetic factors.

Published
2017
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8. Clinical and dopamine transporter imaging characteristics of non-manifest LRRK2 and GBA mutation carriers in the Parkinson's Progression Markers Initiative (PPMI): a cross-sectional study

Author

Tanya Simuni, Liz Uribe, Hyunkeun Ryan Cho, Chelsea Caspell-Garcia, Christopher S Coffey, Andrew Siderowf, John Q Trojanowski, Leslie M Shaw, John Seibyl, Andrew Singleton, Arthur W Toga, Doug Galasko, Tatiana Foroud, Duygu Tosun, Kathleen Poston, Daniel Weintraub, Brit Mollenhauer, Caroline M Tanner, Karl Kieburtz, Lana M Chahine, Alyssa Reimer, Samantha J Hutten, Susan Bressman, Kenneth Marek, Vanessa Arnedo, Adrienne Clark, Mark Fraiser, Catherine Kopil, Sohini Chowdhury, Todd Sherer, Nichole Daegele, Cynthia Casaceli, Ray Dorsey, Renee Wilson, Sugi Mahes, Christina Salerno, Karen Crawford, Paola Casalin, Giulia Malferrari, Mali Gani Weisz, Avi Orr-Urtreger, Thomas Montine, Chris Baglieri, Amanda Christini, David Russell, Nabila Dahodwala, Nir Giladi, Stewart Factor, Penelope Hogarth, David Standaert, Robert Hauser, Joseph Jankovic, Marie Saint-Hilaire, Irene Richard, David Shprecher, Hubert Fernandez, Katrina Brockmann, Liana Rosenthal, Paolo Barone, Alberto Espay, Dominic Rowe, Karen Marder, Anthony Santiago, Shu-Ching Hu, Stuart Isaacson, Jean-Christophe Corvol, Javiar Ruiz Martinez, Eduardo Tolosa, Yen Tai, Marios Politis, Debra Smejdir, Linda Rees, Karen Williams, Farah Kausar, Whitney Richardson, Diana Willeke, Shawnees Peacock, Barbara Sommerfeld, Alison Freed, Katrina Wakeman, Courtney Blair, Stephanie Guthrie, Leigh Harrell, Christine Hunter, Cathi-Ann Thomas, Raymond James, Grace Zimmerman, Victoria Brown, Jennifer Mule, Ella Hilt, Kori Ribb, Susan Ainscough, Misty Wethington, Madelaine Ranola, Helen Mejia Santana, Juliana Moreno, Deborah Raymond, Krista Speketer, Lisbeth Carvajal, Stephanie Carvalo, Ioana Croitoru, Alicia Garrido, Laura Marie Payne, Veena Viswanth, Lawrence Severt, Maurizio Facheris, Holly Soares, Mark A. Mintun, Jesse Cedarbaum, Peggy Taylor, Kevin Biglan, Emily Vandenbroucke, Zulfiqar Haider Sheikh, Baris Bingol, Tanya Fischer, Pablo Sardi, Remi Forrat, Alastair Reith, Jan Egebjerg, Gabrielle Ahlberg Hillert, Barbara Saba, Chris Min, Robert Umek, Joe Mather, Susan De Santi, Anke Post, Frank Boess, Kirsten Taylor, Igor Grachev, Andreja Avbersek, Pierandrea Muglia, Kaplana Merchant, and Johannes Tauscher

Subjects
0301 basic medicine, Male, Aging, Movement disorders, Cross-sectional study, Disease, Neurodegenerative, 0302 clinical medicine, 2.1 Biological and endogenous factors, Aetiology, Parkinson's Disease, biology, PPMI Investigators, Putamen, Confounding, Brain, Parkinson Disease, Middle Aged, LRRK2, 3. Good health, Mental Health, Neurological, Glucosylceramidase, Female, medicine.symptom, medicine.medical_specialty, Heterozygote, Clinical Sciences, Prodromal Symptoms, Leucine-Rich Repeat Serine-Threonine Protein Kinase-2, Article, 03 medical and health sciences, Rating scale, Clinical Research, Internal medicine, medicine, Humans, Dopamine transporter, Aged, Dopamine Plasma Membrane Transport Proteins, Neurology & Neurosurgery, business.industry, Neurosciences, nervous system diseases, Brain Disorders, 030104 developmental biology, Cross-Sectional Studies, Mutation, biology.protein, Neurology (clinical), business, 030217 neurology & neurosurgery, Biomarkers
Abstract

BackgroundThe Parkinson's Progression Markers Initiative (PPMI) is an ongoing observational, longitudinal cohort study of participants with Parkinson's disease, healthy controls, and carriers of the most common Parkinson's disease-related genetic mutations, which aims to define biomarkers of Parkinson's disease diagnosis and progression. All participants are assessed annually with a battery of motor and non-motor scales, 123-I Ioflupane dopamine transporter (DAT) imaging, and biological variables. We aimed to examine whether non-manifesting carriers of LRRK2 and GBA mutations have prodromal features of Parkinson's disease that correlate with reduced DAT binding.MethodsThis cross-sectional analysis is based on assessments done at enrolment in the subset of non-manifesting carriers of LRRK2 and GBA mutations enrolled into the PPMI study from 33 participating sites worldwide. The primary objective was to examine baseline clinical and DAT imaging characteristics in non-manifesting carriers with GBA and LRRK2 mutations compared with healthy controls. DAT deficit was defined as less than 65% of putamen striatal binding ratio expected for the individual's age. We used t tests, χ2 tests, and Fisher's exact tests to compare baseline demographics across groups. An inverse probability weighting method was applied to control for potential confounders such as age and sex. To account for multiple comparisons, we applied a family-wise error rate to each set of analyses. This study is registered with ClinicalTrials.gov, number NCT01141023.FindingsBetween Jan 1, 2014, and Jan 1, 2019, the study enrolled 208 LRRK2 (93% G2019S) and 184 GBA (96% N370S) non-manifesting carriers. Both groups were similar with respect to mean age, and about 60% were female. Of the 286 (73%) non-manifesting carriers that had DAT imaging results, 18 (11%) LRRK2 and four (3%) GBA non-manifesting carriers had a DAT deficit. Compared with healthy controls, both LRRK2 and GBA non-manifesting carriers had significantly increased mean scores on the Movement Disorders Society Unified Parkinson's Disease Rating Scale (total score 4·6 [SD 4·4] healthy controls vs 8·4 [7·3] LRRK2 vs 9·5 [9·2] GBA, p

Published
2020

9. Association of Cerebrospinal Fluid β-Amyloid 1-42, T-tau, P-tau181, and α-Synuclein Levels With Clinical Features of Drug-Naive Patients With Early Parkinson Disease

Author

Alberto J. Espay, David J. Irwin, Arita McCoy, Madelaine Ranola, Giulia Malferrari, Angela James, Stuart Isaacson, Caroline M. Tanner, Peggy Taylor, Laura Leary, Emily Pighetti, Abigail Darin, Brit Mollenhauer, Christine Hunter, Sohini Chowdhury, Dominic B. Rowe, Danna Jennings, Andrew Siderowf, Zoltan Mari, Jon W. Yankey, Shirley Lasch, Hubert H. Fernandez, Arthur W. Toga, Ju-Hee Kang, Robert A. Hauser, Leslie M. Shaw, Daniela Berg, Diana Willeke, Katharina Gauss, John Seibyl, Keith A. Hawkins, David Standaert, Liz Uribe, Kristy J. Espay, Karen Williams, Holly A. Shill, Alice Chen-Plotkin, Sam Frank, Paola Casalin, Douglas Galasko, Werner Poewe, Cindy Casaceli, Fabienne Sprenger, Karen Crawford, Wolfgang Oertel, Joseph Jankovic, Andrew B. Singleton, Alison Scutti, Paolo Barone, Sarah Pan, Deborah Fontaine, Alice Rudolph, Barbara Sommerfeld, David Brooks, Bina Shah, Teresa Waligorska, James B. Leverenz, Matthew B. Stern, Stewart A. Factor, Karl Kieburtz, Christopher S. Coffey, John Q. Trojanowski, Penelope Hogarth, Kenneth Marek, Norbert Schuff, Susan Mendick, Linda Rees, Cathi-Ann Thomas, Marne Baca, Todd Sherer, Mark Frasier, Tanya Simuni, Stephanie Guthrie, David W. Russell, Claire Meunier, Jennifer Mule, Cheryl Deeley, Emily Flagg, Irene Richard, and Chelsea Caspell

Subjects
Male, Threonine, medicine.medical_specialty, Movement, Statistics as Topic, tau Proteins, Neuropsychological Tests, Verbal learning, Severity of Illness Index, Gastroenterology, Article, Cohort Studies, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Cerebrospinal fluid, Memory, Internal medicine, mental disorders, Severity of illness, medicine, Humans, Phosphorylation, 030304 developmental biology, Alpha-synuclein, 0303 health sciences, Amyloid beta-Peptides, business.industry, Case-control study, Parkinson Disease, Middle Aged, Verbal Learning, Peptide Fragments, 3. Good health, Drug-naïve, chemistry, Case-Control Studies, Cohort, Immunology, alpha-Synuclein, Regression Analysis, Female, Neurology (clinical), business, 030217 neurology & neurosurgery, medicine.drug, Cohort study
Abstract

Importance We observed a significant correlation between cerebrospinal fluid (CSF) levels of tau proteins and α-synuclein, but not β-amyloid 1-42 (Aβ1-42), and lower concentration of CSF biomarkers, as compared with healthy controls, in a cohort of entirely untreated patients with Parkinson disease (PD) at the earliest stage of the disease studied so far. Objective To evaluate the baseline characteristics and relationship to clinical features of CSF biomarkers (Aβ1-42, total tau [T-tau], tau phosphorylated at threonine 181 [P-tau 181 ], and α-synuclein) in drug-naive patients with early PD and demographically matched healthy controls enrolled in the Parkinson’s Progression Markers Initiative (PPMI) study. Design, Setting, and Participants Cross-sectional study of the initial 102 research volunteers (63 patients with PD and 39 healthy controls) of the PPMI cohort. Main Outcomes and Measures The CSF biomarkers were measured by INNO-BIA AlzBio3 immunoassay (Aβ1-42, T-tau, and P-tau 181 ; Innogenetics Inc) or by enzyme-linked immunosorbent assay (α-synuclein). Clinical features including diagnosis, demographic characteristics, motor, neuropsychiatric, and cognitive assessments, and DaTscan were systematically assessed according to the PPMI study protocol. Results Slightly, but significantly, lower levels of Aβ1-42, T-tau, P-tau 181 , α-synuclein, and T-tau/Aβ1-42 were seen in subjects with PD compared with healthy controls but with a marked overlap between groups. Using multivariate regression analysis, we found that lower Aβ1-42 and P-tau 181 levels were associated with PD diagnosis and that decreased CSF T-tau and α-synuclein were associated with increased motor severity. Notably, when we classified patients with PD by their motor phenotypes, lower CSF Aβ1-42 and P-tau 181 concentrations were associated with the postural instability–gait disturbance–dominant phenotype but not with the tremor-dominant or intermediate phenotype. Finally, we found a significant correlation of the levels of α-synuclein with the levels of T-tau and P-tau 181 . Conclusions and Relevance In this first report of CSF biomarkers in PPMI study subjects, we found that measures of CSF Aβ1-42, T-tau, P-tau 181 , and α-synuclein have prognostic and diagnostic potential in early-stage PD. Further investigations using the entire PPMI cohort will test the predictive performance of CSF biomarkers for PD progression.

Published
2013

10. The Parkinson Progression Marker Initiative (PPMI)

Author

Kenneth Marek, Danna Jennings, Shirley Lasch, Andrew Siderowf, Caroline Tanner, Tanya Simuni, Chris Coffey, Karl Kieburtz, Emily Flagg, Sohini Chowdhury, Werner Poewe, Brit Mollenhauer, Paracelsus-Elena Klinik, Todd Sherer, Mark Frasier, Claire Meunier, Alice Rudolph, Cindy Casaceli, John Seibyl, Susan Mendick, Norbert Schuff, Ying Zhang, Arthur Toga, Karen Crawford, Alison Ansbach, Pasquale De Blasio, Michele Piovella, John Trojanowski, Les Shaw, Andrew Singleton, Keith Hawkins, Jamie Eberling, Deborah Brooks, David Russell, Laura Leary, Stewart Factor, Barbara Sommerfeld, Penelope Hogarth, Emily Pighetti, Karen Williams, David Standaert, Stephanie Guthrie, Robert Hauser, Holly Delgado, Joseph Jankovic, Christine Hunter, Matthew Stern, Baochan Tran, Jim Leverenz, Marne Baca, Sam Frank, Cathi-Ann Thomas, Irene Richard, Cheryl Deeley, Linda Rees, Fabienne Sprenger, Elisabeth Lang, Holly Shill, Sanja Obradov, Hubert Fernandez, Adrienna Winters, Daniela Berg, Katharina Gauss, Douglas Galasko, Deborah Fontaine, Zoltan Mari, Melissa Gerstenhaber, David Brooks, Sophie Malloy, Paolo Barone, Katia Longo, Tom Comery, Bernard Ravina, Igor Grachev, Kim Gallagher, Michelle Collins, Katherine L. Widnell, Suzanne Ostrowizki, Paulo Fontoura, Tony Ho, Johan Luthman, Marcel van der Brug, Alastair D. Reith, and Peggy Taylor

Subjects
Diagnostic Imaging, Male, medicine.medical_specialty, International Cooperation, Disease, Bioinformatics, Article, Cohort Studies, Dopamine transporter imaging, Humans, Multicenter Studies as Topic, Medicine, Alpha synuclein, Medical physics, Web site, business.industry, General Neuroscience, Healthy subjects, Parkinson Disease, Biomarker, Therapeutic trial, Disease etiology, Cerebrospinal fluid, Diffusion tensor imaging, Disease Progression, Biomarker (medicine), Female, Observational study, business, Neuroscience, Biomarkers
Abstract

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.

Published
2011

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