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Dive into the research topics where Andrew Siderowf is active.

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Featured researches published by Andrew Siderowf.


Movement Disorders | 2008

Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): Scale Presentation and Clinimetric Testing Results

Christopher G. Goetz; Barbara C. Tilley; Stephanie R. Shaftman; Glenn T. Stebbins; Stanley Fahn; Pablo Martinez-Martin; Werner Poewe; Cristina Sampaio; Matthew B. Stern; Richard Dodel; Bruno Dubois; Robert G. Holloway; Joseph Jankovic; Jaime Kulisevsky; Anthony E. Lang; Andrew J. Lees; Sue Leurgans; Peter A. LeWitt; David L. Nyenhuis; C. Warren Olanow; Olivier Rascol; Anette Schrag; Jeanne A. Teresi; Jacobus J. van Hilten; Nancy R. LaPelle; Pinky Agarwal; Saima Athar; Yvette Bordelan; Helen Bronte-Stewart; Richard Camicioli

We present a clinimetric assessment of the Movement Disorder Society (MDS)‐sponsored revision of the Unified Parkinsons Disease Rating Scale (MDS‐UPDRS). The MDS‐UDPRS Task Force revised and expanded the UPDRS using recommendations from a published critique. The MDS‐UPDRS has four parts, namely, I: Non‐motor Experiences of Daily Living; II: Motor Experiences of Daily Living; III: Motor Examination; IV: Motor Complications. Twenty questions are completed by the patient/caregiver. Item‐specific instructions and an appendix of complementary additional scales are provided. Movement disorder specialists and study coordinators administered the UPDRS (55 items) and MDS‐UPDRS (65 items) to 877 English speaking (78% non‐Latino Caucasian) patients with Parkinsons disease from 39 sites. We compared the two scales using correlative techniques and factor analysis. The MDS‐UPDRS showed high internal consistency (Cronbachs alpha = 0.79–0.93 across parts) and correlated with the original UPDRS (ρ = 0.96). MDS‐UPDRS across‐part correlations ranged from 0.22 to 0.66. Reliable factor structures for each part were obtained (comparative fit index > 0.90 for each part), which support the use of sum scores for each part in preference to a total score of all parts. The combined clinimetric results of this study support the validity of the MDS‐UPDRS for rating PD.


Neurology | 2007

Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030

E. R. Dorsey; Radu Constantinescu; Joel P. Thompson; Kevin M. Biglan; Robert G. Holloway; Karl Kieburtz; Frederick Marshall; Bernard Ravina; Giovanni Schifitto; Andrew Siderowf; Caroline M. Tanner

Based on published prevalence studies, we used two different methodologies to project the number of individuals with Parkinson disease (PD) in Western Europe’s 5 most and the world’s 10 most populous nations. The number of individuals with PD over age 50 in these countries was between 4.1 and 4.6 million in 2005 and will double to between 8.7 and 9.3 million by 2030.


JAMA Neurology | 2010

Impulse Control Disorders in Parkinson Disease: A Cross-Sectional Study of 3090 Patients

Daniel Weintraub; Juergen Koester; Marc N. Potenza; Andrew Siderowf; Mark Stacy; Valerie Voon; Jacqueline Whetteckey; Glen Wunderlich; Anthony E. Lang

CONTEXT An association between dopamine-replacement therapies and impulse control disorders (ICDs) in Parkinson disease (PD) has been suggested in preliminary studies. OBJECTIVES To ascertain point prevalence estimates of 4 ICDs in PD and examine their associations with dopamine-replacement therapies and other clinical characteristics. DESIGN Cross-sectional study using an a priori established sampling procedure for subject recruitment and raters blinded to PD medication status. PATIENTS Three thousand ninety patients with treated idiopathic PD receiving routine clinical care at 46 movement disorder centers in the United States and Canada. MAIN OUTCOME MEASURES The Massachusetts Gambling Screen score for current problem/pathological gambling, the Minnesota Impulsive Disorders Interview score for compulsive sexual behavior and buying, and Diagnostic and Statistical Manual of Mental Disorders research criteria for binge-eating disorder. RESULTS An ICD was identified in 13.6% of patients (gambling in 5.0%, compulsive sexual behavior in 3.5%, compulsive buying in 5.7%, and binge-eating disorder in 4.3%), and 3.9% had 2 or more ICDs. Impulse control disorders were more common in patients treated with a dopamine agonist than in patients not taking a dopamine agonist (17.1% vs 6.9%; odds ratio [OR], 2.72; 95% confidence interval [CI], 2.08-3.54; P < .001). Impulse control disorder frequency was similar for pramipexole and ropinirole (17.7% vs 15.5%; OR, 1.22; 95% CI, 0.94-1.57; P = .14). Additional variables independently associated with ICDs were levodopa use, living in the United States, younger age, being unmarried, current cigarette smoking, and a family history of gambling problems. CONCLUSIONS Dopamine agonist treatment in PD is associated with 2- to 3.5-fold increased odds of having an ICD. This association represents a drug class relationship across ICDs. The association of other demographic and clinical variables with ICDs suggests a complex relationship that requires additional investigation to optimize prevention and treatment strategies. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00617019.


Neurology | 2009

Validity of the MoCA and MMSE in the detection of MCI and dementia in Parkinson disease

S. Hoops; S. Nazem; Andrew Siderowf; John E. Duda; Sharon X. Xie; Matthew B. Stern; Daniel Weintraub

Background: Due to the high prevalence of mild cognitive impairment (MCI) and dementia in Parkinson disease (PD), routine cognitive screening is important for the optimal management of patients with PD. The Montreal Cognitive Assessment (MoCA) is more sensitive than the commonly used Mini-Mental State Examination (MMSE) in detecting MCI and dementia in patients without PD, but its validity in PD has not been established. Methods: A representative sample of 132 patients with PD at 2 movement disorders centers was administered the MoCA, MMSE, and a neuropsychological battery with operationalized criteria for deficits. MCI and PD dementia (PDD) criteria were applied by an investigator blinded to the MoCA and MMSE results. The discriminant validity of the MoCA and MMSE as screening and diagnostic instruments was ascertained. Results: Approximately one third of the sample met diagnostic criteria for a cognitive disorder (12.9% PDD and 17.4% MCI). Mean (SD) MoCA and MMSE scores were 25.0 (3.8) and 28.1 (2.0). The overall discriminant validity for detection of any cognitive disorder was similar for the MoCA and the MMSE (receiver operating characteristic area under the curve [95% confidence interval]): MoCA (0.79 [0.72, 0.87]) and MMSE (0.76 [0.67, 0.85]), but as a screening instrument the MoCA (optimal cutoff point = 26/27, 64% correctly diagnosed, lack of ceiling effect) was superior to the MMSE (optimal cutoff point = 29/30, 54% correctly diagnosed, presence of ceiling effect). Conclusions: The Montreal Cognitive Assessment, but not the Mini-Mental State Examination, has adequate psychometric properties as a screening instrument for the detection of mild cognitive impairment or dementia in Parkinson disease. However, a positive screen using either instrument requires additional assessment due to suboptimal specificity at the recommended screening cutoff point.


Progress in Neurobiology | 2011

The Parkinson Progression Marker Initiative (PPMI)

Kenneth Marek; Danna Jennings; Shirley Lasch; Andrew Siderowf; Caroline M. Tanner; Tanya Simuni; Christopher S. Coffey; Karl Kieburtz; Emily Flagg; Sohini Chowdhury; Werner Poewe; Brit Mollenhauer; Todd Sherer; Mark Frasier; Claire Meunier; Alice Rudolph; Cindy Casaceli; John Seibyl; Susan Mendick; Norbert Schuff; Ying Zhang; Arthur W. Toga; Karen Crawford; Alison Ansbach; Pasquale de Blasio; Michele Piovella; John Q. Trojanowski; Les Shaw; Andrew Singleton; Keith A. Hawkins

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.


Movement Disorders | 2009

Validation of the questionnaire for impulsive-compulsive disorders in Parkinson's disease.

Daniel Weintraub; Staci Hoops; Judy A. Shea; Kelly E. Lyons; Rajesh Pahwa; Erika Driver-Dunckley; Charles H. Adler; Marc N. Potenza; Janis Miyasaki; Andrew Siderowf; John E. Duda; Howard I. Hurtig; Amy Colcher; Stacy Horn; Matthew B. Stern; Valerie Voon

As no comprehensive assessment instrument for impulse control disorders (ICDs) in Parkinsons disease (PD) exists, the aim of this study was to design and assess the psychometric properties of a self‐administered screening questionnaire for ICDs and other compulsive behaviors in PD. The Questionnaire for Impulsive‐Compulsive Disorders in Parkinsons Disease (QUIP) has 3 sections: Section 1 assesses four ICDs (involving gambling, sexual, buying, and eating behaviors), Section 2 other compulsive behaviors (punding, hobbyism, and walkabout), and Section 3 compulsive medication use. For validation, a convenience sample of 157 PD patients at 4 movement disorders centers first completed the QUIP, and then was administered a diagnostic interview by a trained rater blinded to the QUIP results. A shortened instrument (QUIP‐S) was then explored. The discriminant validity of the QUIP was high for each disorder or behavior (receiver operating characteristic area under the curve [ROC AUC]: gambling = 0.95, sexual behavior = 0.97, buying = 0.87, eating = 0.88, punding = 0.78, hobbyism = 0.93, walkabout = 0.79). On post hoc analysis, the QUIP‐S ICD section had similar properties (ROC AUC: gambling = 0.95, sexual behavior = 0.96, buying = 0.87, eating = 0.88). When disorders/behaviors were combined, the sensitivity of the QUIP and QUIP‐S to detect an individual with any disorder was 96 and 94%, respectively. Scores on the QUIP appear to be valid as a self‐assessment screening instrument for a range of ICDs and other compulsive behaviors that occur in PD, and a shortened version may perform as well as the full version. A positive screen should be followed by a comprehensive, clinical interview to determine the range and severity of symptoms, as well as need for clinical management.


Annals of Neurology | 2011

Impulse control disorders in parkinson disease: A multicenter case–control study†

Valerie Voon; Mandy Sohr; Anthony E. Lang; Marc N. Potenza; Andrew Siderowf; Jacqueline Whetteckey; Daniel Weintraub; Glen Wunderlich; Mark Stacy

To assess factors associated with impulse control disorders (ICDs) in Parkinson disease (PD) using a multicenter case–control design.


Journal of the American Geriatrics Society | 2009

Montreal Cognitive Assessment Performance in Patients with Parkinson's Disease with “Normal” Global Cognition According to Mini-Mental State Examination Score

Sarra Nazem; Andrew Siderowf; John E. Duda; Tom Ten Have; Amy Colcher; Stacy Horn; Paul J. Moberg; Jayne R. Wilkinson; Howard I. Hurtig; Matthew B. Stern; Daniel Weintraub

OBJECTIVES: To examine Montreal Cognitive Assessment (MoCA) performance in patients with Parkinsons disease (PD) with “normal” global cognition according to Mini‐Mental State Examination (MMSE) score.


Journal of Neurology, Neurosurgery, and Psychiatry | 2005

Donepezil for dementia in Parkinson’s disease: a randomised, double blind, placebo controlled, crossover study

Bernard Ravina; Mary E. Putt; Andrew Siderowf; J T Farrar; M Gillespie; Anthony Crawley; Hubert H. Fernandez; M M Trieschmann; S Reichwein; Tanya Simuni

Objective: To study the safety and efficacy of a cholinesterase inhibitor, donepezil hydrochloride, for the treatment of dementia in Parkinson’s disease (PD). Methods: This was a randomised double blind, placebo controlled, crossover study in 22 subjects with PD and dementia. Participants were randomised to receive either donepezil followed by identical placebo, or placebo followed by donepezil. Donepezil was administered at 5–10 mg/day. Treatment periods were 10 weeks with a washout period of 6 weeks between the two periods. The primary outcome measure was the Alzheimer’s Disease Assessment Scale Cognitive Subscale (ADAScog). Results: Donepezil was well tolerated and most adverse events were mild. There was no worsening of PD symptoms as measured by the total or motor sections of the Unified Parkinson’s Disease Rating Scale. There was a 1.9 point trend toward better scores on the ADAScog on treatment compared with placebo that was not statistically significant. The secondary cognitive measures showed a statistically significant 2 point benefit on the Mini Mental Status Examination and no change on the Mattis Dementia Rating Scale (MDRS). The Clinical Global Impression of Change (CGI) showed a significant 0.37 point improvement on donepezil. No improvement was observed on the MDRS or the Brief Psychiatric Rating Scale. Carryover between treatment periods was observed but was not statistically significant. Conclusions: Donepezil was well tolerated and did not worsen PD. There may be a modest benefit on aspects of cognitive function. The possible clinical benefit measured by CGI was reflected in only one of the cognitive scales used in this study.


Neurology | 2010

CSF amyloid β 1-42 predicts cognitive decline in Parkinson disease

Andrew Siderowf; Sharon X. Xie; Howard I. Hurtig; Daniel Weintraub; John E. Duda; Alice Chen-Plotkin; L.M. Shaw; Vivianna M. Van Deerlin; John Q. Trojanowski; Christopher M. Clark

Objective: Cognitive decline associated with Parkinson disease (PD) is common and highly disabling. Biomarkers that help identify patients at risk for cognitive decline would be useful additions to the clinical management of the disease. Methods: A total of 45 patients with PD were enrolled in this prospective cohort study and had at least 1 yearly longitudinal follow-up evaluation. CSF was collected at baseline and cognition was assessed at baseline and follow-up visits using the Mattis Dementia Rating Scale (DRS-2). CSF was tested for amyloid β 1-42 (Aβ1-42), p-tau181p, and total tau levels using the Luminex xMAP platform. Mixed linear models were used to test for associations between baseline CSF biomarker levels and change in cognition over time. Results: Lower baseline CSF Aβ1-42 was associated with more rapid cognitive decline. Subjects with CSF Aβ1-42 levels ≤192 pg/mL declined an average of 5.85 (95% confidence interval 2.11–9.58, p = 0.002) points per year more rapidly on the DRS-2 than subjects above that cutoff, after adjustment for age, disease duration, and baseline cognitive status. CSF total tau and p-tau181p levels were not significantly associated with cognitive decline. Conclusions: Reduced CSF Aβ1-42 was an independent predictor of cognitive decline in patients with PD. This observation is consistent with previous research showing that Alzheimer disease pathology contributes to cognitive impairment in PD. This biomarker may provide clinically useful prognostic information, particularly if combined with other risk factors for cognitive impairment in PD.

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Matthew B. Stern

University of Pennsylvania

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Daniel Weintraub

University of Pennsylvania

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Howard I. Hurtig

University of Pennsylvania

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John E. Duda

University of Pennsylvania

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Sharon X. Xie

University of Pennsylvania

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Amy Colcher

University of Pennsylvania

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Murray Grossman

University of Pennsylvania

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