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Adler CH, Beach TG, Hentz JG, Shill HA, Caviness JN, Driver-Dunckley E, Sabbagh MN, Sue LI, Jacobson SA, Belden CM, Dugger BN. Low clinical diagnostic accuracy of early vs advanced Parkinson disease: clinicopathologic study. Neurology 2014; 83:406-12. [PMID: 24975862 DOI: 10.1212/wnl.0000000000000641] [Citation(s) in RCA: 382] [Impact Index Per Article: 34.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES Determine diagnostic accuracy of a clinical diagnosis of Parkinson disease (PD) using neuropathologic diagnosis as the gold standard. METHODS Data from the Arizona Study of Aging and Neurodegenerative Disorders were used to determine the predictive value of a clinical PD diagnosis, using 2 clinical diagnostic confidence levels, PossPD (never treated or not clearly responsive) and ProbPD (responsive to medications). Neuropathologic diagnosis was the gold standard. RESULTS Based on first visit, 9 of 34 (26%) PossPD cases had neuropathologically confirmed PD while 80 of 97 (82%) ProbPD cases had confirmed PD. PD was confirmed in 8 of 15 (53%) ProbPD cases with <5 years of disease duration and 72 of 82 (88%) with ≥5 years of disease duration. Using final diagnosis at time of death, 91 of 107 (85%) ProbPD cases had confirmed PD. Clinical variables that improved diagnostic accuracy were medication response, motor fluctuations, dyskinesias, and hyposmia. CONCLUSIONS Using neuropathologic findings of PD as the gold standard, this study establishes the novel findings of only 26% accuracy for a clinical diagnosis of PD in untreated or not clearly responsive subjects, 53% accuracy in early PD responsive to medication (<5 years' duration), and >85% diagnostic accuracy of longer duration, medication-responsive PD. Caution is needed when interpreting clinical studies of PD, especially studies of early disease that do not have autopsy confirmation. The need for a tissue or other diagnostic biomarker is reinforced. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that a clinical diagnosis of PD identifies patients who will have pathologically confirmed PD with a sensitivity of 88% and specificity of 68%.
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Affiliation(s)
- Charles H Adler
- From the Parkinson's Disease and Movement Disorders Center, Department of Neurology (C.H.A., J.N.C., E.D.-D.), and Department of Biostatistics (J.G.H.), Mayo Clinic, Scottsdale; Civin Laboratory for Neuropathology (T.G.B., L.I.S., B.N.D.) and Cleo Roberts Center (H.A.S., M.N.S., S.A.J., C.M.B.), Banner Sun Health Research Institute, Sun City, AZ; and University of Arizona College of Medicine (H.A.S., M.N.S., S.A.J.), Phoenix.
| | - Thomas G Beach
- From the Parkinson's Disease and Movement Disorders Center, Department of Neurology (C.H.A., J.N.C., E.D.-D.), and Department of Biostatistics (J.G.H.), Mayo Clinic, Scottsdale; Civin Laboratory for Neuropathology (T.G.B., L.I.S., B.N.D.) and Cleo Roberts Center (H.A.S., M.N.S., S.A.J., C.M.B.), Banner Sun Health Research Institute, Sun City, AZ; and University of Arizona College of Medicine (H.A.S., M.N.S., S.A.J.), Phoenix
| | - Joseph G Hentz
- From the Parkinson's Disease and Movement Disorders Center, Department of Neurology (C.H.A., J.N.C., E.D.-D.), and Department of Biostatistics (J.G.H.), Mayo Clinic, Scottsdale; Civin Laboratory for Neuropathology (T.G.B., L.I.S., B.N.D.) and Cleo Roberts Center (H.A.S., M.N.S., S.A.J., C.M.B.), Banner Sun Health Research Institute, Sun City, AZ; and University of Arizona College of Medicine (H.A.S., M.N.S., S.A.J.), Phoenix
| | - Holly A Shill
- From the Parkinson's Disease and Movement Disorders Center, Department of Neurology (C.H.A., J.N.C., E.D.-D.), and Department of Biostatistics (J.G.H.), Mayo Clinic, Scottsdale; Civin Laboratory for Neuropathology (T.G.B., L.I.S., B.N.D.) and Cleo Roberts Center (H.A.S., M.N.S., S.A.J., C.M.B.), Banner Sun Health Research Institute, Sun City, AZ; and University of Arizona College of Medicine (H.A.S., M.N.S., S.A.J.), Phoenix
| | - John N Caviness
- From the Parkinson's Disease and Movement Disorders Center, Department of Neurology (C.H.A., J.N.C., E.D.-D.), and Department of Biostatistics (J.G.H.), Mayo Clinic, Scottsdale; Civin Laboratory for Neuropathology (T.G.B., L.I.S., B.N.D.) and Cleo Roberts Center (H.A.S., M.N.S., S.A.J., C.M.B.), Banner Sun Health Research Institute, Sun City, AZ; and University of Arizona College of Medicine (H.A.S., M.N.S., S.A.J.), Phoenix
| | - Erika Driver-Dunckley
- From the Parkinson's Disease and Movement Disorders Center, Department of Neurology (C.H.A., J.N.C., E.D.-D.), and Department of Biostatistics (J.G.H.), Mayo Clinic, Scottsdale; Civin Laboratory for Neuropathology (T.G.B., L.I.S., B.N.D.) and Cleo Roberts Center (H.A.S., M.N.S., S.A.J., C.M.B.), Banner Sun Health Research Institute, Sun City, AZ; and University of Arizona College of Medicine (H.A.S., M.N.S., S.A.J.), Phoenix
| | - Marwan N Sabbagh
- From the Parkinson's Disease and Movement Disorders Center, Department of Neurology (C.H.A., J.N.C., E.D.-D.), and Department of Biostatistics (J.G.H.), Mayo Clinic, Scottsdale; Civin Laboratory for Neuropathology (T.G.B., L.I.S., B.N.D.) and Cleo Roberts Center (H.A.S., M.N.S., S.A.J., C.M.B.), Banner Sun Health Research Institute, Sun City, AZ; and University of Arizona College of Medicine (H.A.S., M.N.S., S.A.J.), Phoenix
| | - Lucia I Sue
- From the Parkinson's Disease and Movement Disorders Center, Department of Neurology (C.H.A., J.N.C., E.D.-D.), and Department of Biostatistics (J.G.H.), Mayo Clinic, Scottsdale; Civin Laboratory for Neuropathology (T.G.B., L.I.S., B.N.D.) and Cleo Roberts Center (H.A.S., M.N.S., S.A.J., C.M.B.), Banner Sun Health Research Institute, Sun City, AZ; and University of Arizona College of Medicine (H.A.S., M.N.S., S.A.J.), Phoenix
| | - Sandra A Jacobson
- From the Parkinson's Disease and Movement Disorders Center, Department of Neurology (C.H.A., J.N.C., E.D.-D.), and Department of Biostatistics (J.G.H.), Mayo Clinic, Scottsdale; Civin Laboratory for Neuropathology (T.G.B., L.I.S., B.N.D.) and Cleo Roberts Center (H.A.S., M.N.S., S.A.J., C.M.B.), Banner Sun Health Research Institute, Sun City, AZ; and University of Arizona College of Medicine (H.A.S., M.N.S., S.A.J.), Phoenix
| | - Christine M Belden
- From the Parkinson's Disease and Movement Disorders Center, Department of Neurology (C.H.A., J.N.C., E.D.-D.), and Department of Biostatistics (J.G.H.), Mayo Clinic, Scottsdale; Civin Laboratory for Neuropathology (T.G.B., L.I.S., B.N.D.) and Cleo Roberts Center (H.A.S., M.N.S., S.A.J., C.M.B.), Banner Sun Health Research Institute, Sun City, AZ; and University of Arizona College of Medicine (H.A.S., M.N.S., S.A.J.), Phoenix
| | - Brittany N Dugger
- From the Parkinson's Disease and Movement Disorders Center, Department of Neurology (C.H.A., J.N.C., E.D.-D.), and Department of Biostatistics (J.G.H.), Mayo Clinic, Scottsdale; Civin Laboratory for Neuropathology (T.G.B., L.I.S., B.N.D.) and Cleo Roberts Center (H.A.S., M.N.S., S.A.J., C.M.B.), Banner Sun Health Research Institute, Sun City, AZ; and University of Arizona College of Medicine (H.A.S., M.N.S., S.A.J.), Phoenix
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Pedro-Cuesta JD, Rodríguez-Farré E, Lopez-Abente G. Spatial distribution of Parkinson's disease mortality in Spain, 1989-1998, as a guide for focused aetiological research or health-care intervention. BMC Public Health 2009; 9:445. [PMID: 19954536 PMCID: PMC2796665 DOI: 10.1186/1471-2458-9-445] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2009] [Accepted: 12/02/2009] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Aetiologically, genetic and environmental factors having an uneven spatial distribution may underlie Parkinson's disease (PD). Undiagnosis of PD in selected regions might have limited access to treatment with levodopa and simultaneously, if present at death, determined PD underreporting at the death record. The purpose of this study was to describe and analyse municipal mortality due to PD in Spain in aetiological and interventional perspective. METHODS PD mortality at a municipal level was modelled using the Besag-York- Molliè autoregressive spatial model, combining demographic information with cause-of-death diagnostic data (International Classification of Diseases 9th Revision (ICD-9) code 332.0). Municipal relative risks (RRs) were independently estimated for women, men and both sexes, and plotted on maps depicting smoothed RR estimates and the distribution of the posterior probability of RR>1. RESULTS A south-north gradient, with large geographical areas suggesting clustered towns with high mortality, was seen in Asturias, the Basque Country, Balearic Islands and, particularly, in the Lower Ebro valley around Tarragona. Similarly, there was a suggestion that lowest mortality was clustered in the south-east and south-west. We identified some isolated or clustered municipalities with high mortality that were situated near industrial plants reported to be associated with environmental xenobiotic emissions. However, the same pattern was also observed for some cities with low mortality. CONCLUSION Municipal PD mortality in Spain was unevenly distributed. Patterns were roughly similar to reported provincial PD mortality and use of levodopa. While the overall pattern appears to result from spatially selective PD undiagnosis, and can not be ascribed to industrial emissions, it can not be excluded that selected "hot spots" reflect genetic factors and/or environmental exposures inducing parkinsonism. A few municipal populations, located in low-mortality-risk areas in the vicinity of polluting plants or registering high excess PD mortality, might constitute a priority for conducting direct etiological studies. Additionally, interventions aimed to reduce potential PD undiagnosis might be most appropriate in the South.
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Affiliation(s)
- Jesús de Pedro-Cuesta
- Department of Applied Epidemiology, National Centre for Epidemiology, and Consortium for Biomedical Research in Neurodegenerative Diseases (Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas - CIBERNED), Carlos III Institute of Health. C/ Sinesio Delgado 6. 28029 Madrid. Spain
| | - Eduard Rodríguez-Farré
- Environmental Health Group, Consortium for Biomedical Research in Epidemiology & Public Health-Carlos III Institute of Health (CIBERESP-ISCIII), Barcelona, Spain
- Department of Pharmacology and Toxicology, Barcelona Institute of Biomedical Research (Instituto de Investigaciones Biomédicas de Barcelona -IIBB), Scientific Research Board-August Píi Sunyer Biomedical Research Institute (Consejo Superior de Investigaciones Científicas-Institut d'Investigacions Biomèdiques August Píi Sunyer:CSIC-IDIBAPS), Rosellón 161, E-08036 Barcelona, Spain
| | - Gonzalo Lopez-Abente
- Environmental and Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, C/ Sinesio Delgado 6. 28029, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), C/ Sinesio Delgado 6. 28029, Madrid, Spain
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Seibyl JP. Single-photon emission computed tomography and positron emission tomography evaluations of patients with central motor disorders. Semin Nucl Med 2008; 38:274-86. [PMID: 18514083 DOI: 10.1053/j.semnuclmed.2008.03.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Neuroimaging biomarkers in movement disorders during the past decade have served as diagnostic agents (Europe), tools for evaluation of novel therapeutics, and a powerful means for describing pathophysiology by revealing in vivo changes at different stages of disease and within the course of an individual patient's illness. As imaging with agents tracking dopaminergic function become more available, the next decade promises to enhance our clinical sophistication in the optimal use of dopaminergic imaging biomarkers for differential diagnosis, characterization of at-risk populations, guiding selection and management of appropriate treatments. The clinical role of these agents as clinical tools goes hand in hand with the development and availability of disease-modifying drugs, which carry the additional requirement for early and accurate diagnosis and improved clinical monitoring once treatment is initiated. Challenges remain in the ideal application of neuroimaging in the clinical algorithms for patient assessment and management. Further, the application of imaging to other targets, both monamineric and nonmonoaminergic, could serve a function beyond the important delineation of pathologic change occurring in patients with Parkinson's disease to suggest some role in improved phenotyping and classification of patients with Parkinson's disease presenting with different symptom clusters. New areas of focus based on the elucidation of mechanisms at the cellular and molecular level, including intense interest in alpha-synuclein and other protein inclusions in neurons and glia, have piqued interest in their in vivo assessment using scinitigraphic methods. Perhaps ultimately, treatment that is targeted to a better delineated pathophysiology-based characterization of movement disorder patients will emerge. The application of neuroimaging biomarkers to multiple ends in movement disorders provides an important model for the multiple roles diagnostic imaging agents can serve in neurodegenerative disorders; for diagnosis, for elaborating pathophysiology in patient populations, for developing new drugs, ultimately for improving clinical management.
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Affiliation(s)
- John P Seibyl
- Institute for Neurodegenerative Disorders, Molecular Neuroimaging, LLC, Yale University School of Medicine, New Haven, CT, USA.
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Abstract
CONTEXT Diagnosis of Parkinson disease (PD) remains challenging. An accurate diagnosis is important because effective symptomatic treatment for PD is available. OBJECTIVE To systematically review the literature for information on the precision and accuracy of the clinical examination for diagnosing PD. DATA SOURCES MEDLINE database was searched for all English-language articles related to the diagnosis of PD published from January 1966 through April 2001. The reference lists of all articles retrieved were searched for additional relevant sources. STUDY SELECTION Studies in which patients presented with 1 or more typical features of PD were included if the final diagnosis was confirmed by a suitable criterion standard and data could be extracted to determine the accuracy of 1 or more symptoms or signs. Variability in descriptions of symptoms and signs made it impossible to combine data across existing studies for most findings. DATA SYNTHESIS We identified 6 studies that met our criteria. The positive (presence) likelihood ratios (LRs) for tremor as a symptom of PD ranged from 1.3 to 17 (range of negative [absence] LRs, 0.24 to 0.60). Tremor as a sign of PD produced a range of positive LRs from 1.3 to 1.5 (negative LRs, 0.47 to 0.61). Clinical features useful in the diagnosis of PD include a history of the combination of symptoms of rigidity and bradykinesia (positive LR, 4.5; negative LR, 0.12); a history of loss of balance (range of positive LRs, 1.6 to 6.6; range of negative LRs, 0.29 to 0.35), symptoms of micrographia (range of positive LRs, 2.8 to 5.9; range of negative LRs, 0.30 to 0.44), and a history of shuffling gait (range of positive LRs, 3.3 to 15; range of negative LRs, 0.32 to 0.50). Trouble with certain tasks such as turning in bed (positive LR, 13; negative LR, 0.56), opening jars (positive LR, 6.1; negative LR, 0.26), and rising from a chair (range of positive LRs, 1.9 to 5.2; range of negative LRs, 0.39 to 0.58). Useful signs include the glabella tap test (positive LR, 4.5; negative LR, 0.13), difficulty walking heel-to-toe (positive LR, 2.9; negative LR, 0.32), and rigidity (range of positive LRs, 0.53 to 2.8; range of negative LRs, 0.38 to 1.6). Significant selection bias was detected in all studies included for review. CONCLUSIONS Symptoms of tremor, rigidity, bradykinesia, micrographia, shuffling gait, and difficulty with the tasks of turning in bed, opening jars, and rising from a chair should be carefully reviewed in all patients with suspected PD. The glabella tap and heel-to-toe tests also should be assessed.
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Affiliation(s)
- Goutham Rao
- Department of Family Medicine, University of Pittsburgh, 3518 Fifth Ave, Pittsburgh, PA 15261, USA.
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