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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.


Stroke | 2011

Vascular Contributions to Cognitive Impairment and Dementia A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association

Philip B. Gorelick; Angelo Scuteri; Sandra E. Black; Charles DeCarli; Steven M. Greenberg; Costantino Iadecola; Lenore J. Launer; Stéphane Laurent; Oscar L. Lopez; David L. Nyenhuis; Ronald C. Petersen; Julie A. Schneider; Christophe Tzourio; Donna K. Arnett; David A. Bennett; Helena C. Chui; Randall T. Higashida; Ruth Lindquist; Peter Nilsson; Gustavo C. Román; Frank W. Sellke; Sudha Seshadri

Background and Purpose— This scientific statement provides an overview of the evidence on vascular contributions to cognitive impairment and dementia. Vascular contributions to cognitive impairment and dementia of later life are common. Definitions of vascular cognitive impairment (VCI), neuropathology, basic science and pathophysiological aspects, role of neuroimaging and vascular and other associated risk factors, and potential opportunities for prevention and treatment are reviewed. This statement serves as an overall guide for practitioners to gain a better understanding of VCI and dementia, prevention, and treatment. Methods— Writing group members were nominated by the writing group co-chairs on the basis of their previous work in relevant topic areas and were approved by the American Heart Association Stroke Council Scientific Statement Oversight Committee, the Council on Epidemiology and Prevention, and the Manuscript Oversight Committee. The writing group used systematic literature reviews (primarily covering publications from 1990 to May 1, 2010), previously published guidelines, personal files, and expert opinion to summarize existing evidence, indicate gaps in current knowledge, and, when appropriate, formulate recommendations using standard American Heart Association criteria. All members of the writing group had the opportunity to comment on the recommendations and approved the final version of this document. After peer review by the American Heart Association, as well as review by the Stroke Council leadership, Council on Epidemiology and Prevention Council, and Scientific Statements Oversight Committee, the statement was approved by the American Heart Association Science Advisory and Coordinating Committee. Results— The construct of VCI has been introduced to capture the entire spectrum of cognitive disorders associated with all forms of cerebral vascular brain injury—not solely stroke—ranging from mild cognitive impairment through fully developed dementia. Dysfunction of the neurovascular unit and mechanisms regulating cerebral blood flow are likely to be important components of the pathophysiological processes underlying VCI. Cerebral amyloid angiopathy is emerging as an important marker of risk for Alzheimer disease, microinfarction, microhemorrhage and macrohemorrhage of the brain, and VCI. The neuropathology of cognitive impairment in later life is often a mixture of Alzheimer disease and microvascular brain damage, which may overlap and synergize to heighten the risk of cognitive impairment. In this regard, magnetic resonance imaging and other neuroimaging techniques play an important role in the definition and detection of VCI and provide evidence that subcortical forms of VCI with white matter hyperintensities and small deep infarcts are common. In many cases, risk markers for VCI are the same as traditional risk factors for stroke. These risks may include but are not limited to atrial fibrillation, hypertension, diabetes mellitus, and hypercholesterolemia. Furthermore, these same vascular risk factors may be risk markers for Alzheimer disease. Carotid intimal-medial thickness and arterial stiffness are emerging as markers of arterial aging and may serve as risk markers for VCI. Currently, no specific treatments for VCI have been approved by the US Food and Drug Administration. However, detection and control of the traditional risk factors for stroke and cardiovascular disease may be effective in the prevention of VCI, even in older people. Conclusions— Vascular contributions to cognitive impairment and dementia are important. Understanding of VCI has evolved substantially in recent years, based on preclinical, neuropathologic, neuroimaging, physiological, and epidemiological studies. Transdisciplinary, translational, and transactional approaches are recommended to further our understanding of this entity and to better characterize its neuropsychological profile. There is a need for prospective, quantitative, clinical-pathological-neuroimaging studies to improve knowledge of the pathological basis of neuroimaging change and the complex interplay between vascular and Alzheimer disease pathologies in the evolution of clinical VCI and Alzheimer disease. Long-term vascular risk marker interventional studies beginning as early as midlife may be required to prevent or postpone the onset of VCI and Alzheimer disease. Studies of intensive reduction of vascular risk factors in high-risk groups are another important avenue of research.


Stroke | 2006

National Institute of Neurological Disorders and Stroke–Canadian Stroke Network Vascular Cognitive Impairment Harmonization Standards

Vladimir Hachinski; Costantino Iadecola; R. C. Petersen; Monique M.B. Breteler; David L. Nyenhuis; Sandra E. Black; William J. Powers; Charles DeCarli; José G. Merino; Raj N. Kalaria; Harry V. Vinters; David M. Holtzman; Gary A. Rosenberg; Martin Dichgans; John R. Marler; Gabrielle G. Leblanc

Background and Purpose— One in 3 individuals will experience a stroke, dementia or both. Moreover, twice as many individuals will have cognitive impairment short of dementia as either stroke or dementia. The commonly used stroke scales do not measure cognition, while dementia criteria focus on the late stages of cognitive impairment, and are heavily biased toward the diagnosis of Alzheimer disease. No commonly agreed standards exist for identifying and describing individuals with cognitive impairment, particularly in the early stages, and especially with cognitive impairment related to vascular factors, or vascular cognitive impairment. Methods— The National Institute for Neurological Disorders and Stroke (NINDS) and the Canadian Stroke Network (CSN) convened researchers in clinical diagnosis, epidemiology, neuropsychology, brain imaging, neuropathology, experimental models, biomarkers, genetics, and clinical trials to recommend minimum, common, clinical and research standards for the description and study of vascular cognitive impairment. Results— The results of these discussions are reported herein. Conclusions— The development of common standards represents a first step in a process of use, validation and refinement. Using the same standards will help identify individuals in the early stages of cognitive impairment, will make studies comparable, and by integrating knowledge, will accelerate the pace of progress.


Movement Disorders | 2007

Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): Process, format, and clinimetric testing plan.

Christopher G. Goetz; Stanley Fahn; Pablo Martinez-Martin; Werner Poewe; Cristina Sampaio; Glenn T. Stebbins; Matthew B. Stern; Barbara C. Tilley; 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

This article presents the revision process, major innovations, and clinimetric testing program for the Movement Disorder Society (MDS)–sponsored revision of the Unified Parkinsons Disease Rating Scale (UPDRS), known as the MDS‐UPDRS. The UPDRS is the most widely used scale for the clinical study of Parkinsons disease (PD). The MDS previously organized a critique of the UPDRS, which cited many strengths, but recommended revision of the scale to accommodate new advances and to resolve problematic areas. An MDS‐UPDRS committee prepared the revision using the recommendations of the published critique of the scale. Subcommittees developed new material that was reviewed by the entire committee. A 1‐day face‐to‐face committee meeting was organized to resolve areas of debate and to arrive at a working draft ready for clinimetric testing. The MDS‐UPDRS retains the UPDRS structure of four parts with a total summed score, but the parts have been modified to provide a section that integrates nonmotor elements of PD: I, Nonmotor Experiences of Daily Living; II, Motor Experiences of Daily Living; III, Motor Examination; and IV, Motor Complications. All items have five response options with uniform anchors of 0 = normal, 1 = slight, 2 = mild, 3 = moderate, and 4 = severe. Several questions in Part I and all of Part II are written as a patient/caregiver questionnaire, so that the total rater time should remain approximately 30 minutes. Detailed instructions for testing and data acquisition accompany the MDS‐UPDRS in order to increase uniform usage. Multiple language editions are planned. A three‐part clinimetric program will provide testing of reliability, validity, and responsiveness to interventions. Although the MDS‐UPDRS will not be published until it has successfully passed clinimetric testing, explanation of the process, key changes, and clinimetric programs allow clinicians and researchers to understand and participate in the revision process.


Journal of Clinical Psychology | 1999

Adult and geriatric normative data and validation of the Profile of Mood States

David L. Nyenhuis; Chie Yamamoto; Tracy Luchetta; Annette Terrien; Angie Parmentier

The Profile of Mood States (POMS; McNair, Lorr, & Droppleman) is widely used to assess mood states. However, the utility of the POMS has been restricted by the lack of normative data from the general population. We report on our adult (N = 400) and geriatric (N = 170) POMS standardization samples. Both groups were age-, gender-, and race-stratified according to 1990 census data. We also report on convergent and discriminant validity of POMS scales, using a multitrait, multimethod paradigm.


Journal of The International Neuropsychological Society | 1995

Mood disturbance versus other symptoms of depression in multiple sclerosis.

David L. Nyenhuis; Stephen M. Rao; John Zajecka; Tracy Luchetta; Linda Bernardin; David C. Garron

We administered the Multiscale Depression Inventory (MDI) and the Beck Depression Inventory (BDI) to 84 multiple sclerosis (MS) patients, 101 patients diagnosed with major depression and 87 nonmedical, nonpsychiatric controls. The MDI consists of three separate depression scales measuring mood, vegetative, and evaluative symptoms. We found that: (a) MS patients did not significantly differ from the controls in mood symptoms, (b) the depression prevalence rate in MS patients was significantly lower when measured by the mood scale (17.7%) than by the BDI (30.5%) or MDI total score (26.6%), and (c) MS patients showed significantly less mood disturbance than a non-MS comparison group matched on BDI measured depression severity. We suggest that the inclusion of nonmood symptoms in self-report depression scales may artificially raise both prevalence rates and severity ratings of MS related depression and that the most valid measure of depression in MS is mood disturbance.


Dementia and Geriatric Cognitive Disorders | 2009

The Validity, Reliability and Clinical Utility of the Hong Kong Montreal Cognitive Assessment (HK-MoCA) in Patients with Cerebral Small Vessel Disease

Adrian Wong; Yun Y. Xiong; Pauline W.L. Kwan; Anne Y.Y. Chan; Wynnie W.M. Lam; Ki Wang; Winnie C.W. Chu; David L. Nyenhuis; Ziad Nasreddine; Lawrence K.S. Wong; Vincent Mok

Background/Aims: To evaluate the psychometric properties of the Hong Kong Montreal Cognitive Assessment (HK-MoCA) in patients with cerebral small vessel disease (SVD). Methods: 40 SVD patients and 40 matched controls were recruited. Concurrent and criterion validity, inter-rater and test-retest reliability, internal consistency of the HK-MoCA were examined and clinical observations were made. Results: Performance on the HK-MoCA was significantly predicted by both executive (β = 0.23, p = 0.013) and non-executive (β = 0.64, p < 0.001) composite scores. It differentiated SVD patients from controls (area under the curve = 0.81, p < 0.001) with an optimal cutoff at 21/22. Reliability, internal consistency and clinical utility were good. Conclusion: The HK-MoCA is a useful cognitive screening instrument for use in SVD patients.


Journal of the American Geriatrics Society | 1998

Vascular Dementia: A Contemporary Review of Epidemiology, Diagnosis, Prevention, and Treatment

David L. Nyenhuis; Philip B. Gorelick

The past decade has seen a renewed interest in vascular dementia. Key epidemiologic studies have examined the prevalence, incidence, course and risk factors of vascular dementia. New classification systems have been developed to improve the reliability of the diagnosis, and there have been advances in diagnostic methodology, such as neuroimaging and neuropsychological assessment. New treatments for vascular dementia are being developed to protect the brain from cerebral ischemia and to limit progression of cognitive impairment. Diagnostic criteria for vascular dementia remain to be validated by carefully designed, systematic, clinicopathologic study. Once such criteria are validated, meaningful study of subgroups of vascular dementia can be explored. Until the relationship between vascular dementia and Alzheimers disease is better defined, the nosology for vascular dementia may be defined best as dementia associated with stroke.


Stroke | 2008

Gray Matter Atrophy in Patients With Ischemic Stroke With Cognitive Impairment

Glenn T. Stebbins; David L. Nyenhuis; Changsheng Wang; Jennifer L. Cox; Sally Freels; Katherine J. Bangen; Leyla deToledo-Morrell; Kumar Sripathirathan; Michael E. Moseley; David A. Turner; John D. E. Gabrieli; Philip B. Gorelick

Background and Purpose— Patients with ischemic stroke are at risk for developing vascular cognitive impairment ranging from mild impairments to dementia. MRI findings of infarction, white matter hyperintensities, and global cerebral atrophy have been implicated in the development of vascular cognitive impairment. The present study investigated regional gray matter volume differences between patients with ischemic stroke with no cognitive impairment and those with impairment in at least one domain of cognitive function. Methods— Ninety-one patients with ischemic stroke participated. Detailed neuropsychological testing was used to characterize cognitive functioning in 7 domains: orientation, attention, working memory, language, visuospatial ability, psychomotor speed, and memory. High-resolution T1-weighted 3-dimensional fast-spoiled gradient recalled structural MRIs were processed using optimized voxel-based morphometry techniques while controlling for lesions. Whole brain voxelwise regional differences in gray matter volume were assessed between patients with stroke with no impaired cognitive domains and patients with stroke with at least one impaired cognitive domain. Logistic regression models were used to assess the contribution of demographic variables, stroke-related variables, and voxel-based morphometry results to classification of cognitive impairment group membership. Results— Fifty-one patients had no impairments in any cognitive domain and 40 patients were impaired in at least one cognitive domain. Logistic regression identified significant contributions to cognitive impairment groups for demographic variables, stroke-related variables, and cognitive domain performance. Voxel-based morphology results demonstrated significant gray matter volume reductions in patients with stroke with one or more cognitive domain impairment compared with patients with stroke without cognitive impairment that was seen mostly in the thalamus with smaller reductions found in the cingulate gyrus and frontal, temporal, parietal, and occipital lobes. These reductions were present after controlling for group differences in age, education, stroke volume, and laterality of stroke. The addition of voxel-based morphometry-derived thalamic volume significantly improved a logistic regression model predicting cognitive impairment group membership when added to demographic variables, stroke-related variables, and cognitive domain performance. Conclusions— These results suggest a central role for the thalamus and lesser roles for other cortical regions in the development of cognitive impairment after ischemic stroke. Indeed, consideration of thalamic volumes adds significant information to the classification of cognitive impaired versus nonimpaired groups beyond information provided by demographic, stroke-related, and cognitive performance measures.


Clinical Neuropsychologist | 2004

The pattern of neuropsychological deficits in Vascular Cognitive Impairment-No Dementia (Vascular CIND).

David L. Nyenhuis; Philip B. Gorelick; Emily J. Geenen; Clifford A. Smith; Eugenia Gencheva; Sally Freels; Leyla deToledo-Morrell

We examined the pattern of neuropsychological deficits in Vascular Cognitive Impairment-No Dementia (Vascular CIND) by comparing the cognitive and behavioral performance of 41 post-stroke Vascular CIND patients to that of 62 post-stroke patients with no cognitive impairment (NCI). Neuropsychological test scores were grouped into seven cognitive and four behavioral domains, then converted to standardized, weighted principle component scores (PCS) for each domain. Multivariate logistic regression models built on cognitive domains found the immediate recall and psychomotor domains to best predict diagnostic group membership. In a separate model limited to behavioral data, the depressed mood domain best predicted group membership. The combination of immediate memory deficits, psychomotor slowness and depression have also been found in Vascular Dementia (VaD), suggesting that the pattern of deficits in Vascular CIND and VaD neuropsychological deficits are similar. This cognitive and behavioral pattern similarity supports the hypothesis that Vascular CIND lies on a continuum between NCI and VaD.

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Sandra E. Black

Sunnybrook Health Sciences Centre

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David C. Garron

Rush University Medical Center

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Laura Pedelty

University of Illinois at Chicago

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Angelo Scuteri

National Institutes of Health

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Helena C. Chui

University of Southern California

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Julie A. Schneider

Rush University Medical Center

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