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Visser FCW, van Eersel MEA, Hempenius L, Verwey NA, Band C, van der Bol JM, Boudestein K, van Dijk SC, Gobbens R, van der Hooft CS, Kamper AM, Ruiter R, Sipers W, Spoelstra BNA, Stoffels J, Stolwijk-Woudstra DJ, van Stralen KJ, van Strien AM, Wijngaarden MA, Winters M, Strijkert F, van Munster BC. Recognition of cognitive dysfunction in hospitalised older patients: a flash mob study. BMC Geriatr 2024; 24:66. [PMID: 38229025 DOI: 10.1186/s12877-023-04588-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 12/11/2023] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND It is important that healthcare professionals recognise cognitive dysfunction in hospitalised older patients in order to address associated care needs, such as enhanced involvement of relatives and extra cognitive and functional support. However, studies analysing medical records suggest that healthcare professionals have low awareness of cognitive dysfunction in hospitalised older patients. In this study, we investigated the prevalence of cognitive dysfunction in hospitalised older patients, the percentage of patients in which cognitive dysfunction was recognised by healthcare professionals, and which variables were associated with recognition. METHODS A multicentre, nationwide, cross-sectional observational study was conducted on a single day using a flash mob study design in thirteen university and general hospitals in the Netherlands. Cognitive function was assessed in hospitalised patients aged ≥ 65 years old, who were admitted to medical and surgical wards. A Mini-Cog score of < 3 out of 5 indicated cognitive dysfunction. The attending nurses and physicians were asked whether they suspected cognitive dysfunction in their patient. Variables associated with recognition of cognitive dysfunction were assessed using multilevel and multivariable logistic regression analyses. RESULTS 347 of 757 enrolled patients (46%) showed cognitive dysfunction. Cognitive dysfunction was recognised by attending nurses in 137 of 323 patients (42%) and by physicians in 156 patients (48%). In 135 patients (42%), cognitive dysfunction was not recognised by either the attending nurse or physician. Recognition of cognitive dysfunction was better at a lower Mini-Cog score, with the best recognition in patients with the lowest scores. Patients with a Mini-Cog score < 3 were best recognised in the geriatric department (69% by nurses and 72% by physicians). CONCLUSION Cognitive dysfunction is common in hospitalised older patients and is poorly recognised by healthcare professionals. This study highlights the need to improve recognition of cognitive dysfunction in hospitalised older patients, particularly in individuals with less apparent cognitive dysfunction. The high proportion of older patients with cognitive dysfunction suggests that it may be beneficial to provide care tailored to cognitive dysfunction for all hospitalised older patients.
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Affiliation(s)
- Fleur C W Visser
- Department of Geriatric Medicine and Alzheimer Center Groningen, University of Groningen, University Medical Center Groningen, 9700 RB, Groningen, AA43, The Netherlands.
| | - Marlise E A van Eersel
- Department of Geriatric Medicine and Alzheimer Center Groningen, University of Groningen, University Medical Center Groningen, 9700 RB, Groningen, AA43, The Netherlands
| | - Liesbeth Hempenius
- Geriatric Medicine, Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Nicolaas A Verwey
- Neurology and Geriatric Department, Medical Center Leeuwarden, Leeuwarden, The Netherlands
| | - Caterina Band
- Spaarne Gasthuis Hospital, Spaarne Gasthuis Academy, Hoofddorp, The Netherlands
| | | | - Kris Boudestein
- Department of Geriatric Medicine, Maasstad Hospital, Rotterdam, The Netherlands
| | - Suzanne C van Dijk
- Department of Geriatric Medicine, Franciscus Gasthuis and Vlietland, Schiedam, The Netherlands
| | - Robbert Gobbens
- Faculty of Health, Sports and Social Work, Inholland University of Applied Sciences, Amsterdam, The Netherlands
| | | | - Adriaan M Kamper
- Department of Internal Medicine, Isala Hospital, Zwolle, The Netherlands
| | - Rikje Ruiter
- Department of Internal Medicine, Maasstad Hospital, Rotterdam, The Netherlands
| | - Walther Sipers
- Department of Geriatric Medicine, Zuyderland Medical Center Sittard-Geleen, Heerlen-Sittard-Geleen, The Netherlands
| | - Birgit N A Spoelstra
- Department of Geriatric Medicine, Meander Medisch Centrum, Amersfoort, The Netherlands
| | - Josephine Stoffels
- Department of Internal Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Aging & Later Life, Amsterdam, The Netherlands
| | | | | | - Astrid M van Strien
- Department of Geriatric Medicine, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands
| | - Marjolein A Wijngaarden
- Leiden University Medical Center, Internal Medicine, Section Geriatrics, Leiden, The Netherlands
| | - Marian Winters
- Departments of Internal Medicine and Geriatrics, Isala Hospital, Zwolle, The Netherlands
| | - Fijanne Strijkert
- Department of Geriatric Medicine and Alzheimer Center Groningen, University of Groningen, University Medical Center Groningen, 9700 RB, Groningen, AA43, The Netherlands
| | - Barbara C van Munster
- Department of Geriatric Medicine and Alzheimer Center Groningen, University of Groningen, University Medical Center Groningen, 9700 RB, Groningen, AA43, The Netherlands
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van Gils AM, Rhodius‐Meester HFM, Leeuwis AE, Handgraaf D, Bakker C, Peetoom K, Bouwman FH, Pijnenburg YAL, Papma JM, Hoogendoorn T, Schoonenboom N, van Strien A, Verwey NA, Köhler S, de Vugt ME, van der Flier WM. Young-onset dementia in memory clinics in the Netherlands: Study design and description of PRECODE-GP. Alzheimers Dement (Amst) 2023; 15:e12471. [PMID: 37609004 PMCID: PMC10441283 DOI: 10.1002/dad2.12471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 07/10/2023] [Accepted: 07/31/2023] [Indexed: 08/24/2023]
Abstract
The disease trajectory and healthcare requirements of patients with young-onset dementia (YOD) differ from those of older patients. Accurate data about YOD is crucial to improve diagnosis and optimize care. PRECODE-GP aims to set up a prospective national database of patients with YOD to gain insight into the occurrence and characteristics of patients with YOD in memory clinics in the Netherlands. The national database includes data from dementia patients aged <70 years at diagnosis, collected by local memory clinics (MCs). Data included demographic information, clinical variables, and (etiological) diagnoses. Between July 2019 and December 2022, 781 patients with a mean age of 62±6y at diagnosis (range 37 to 69y) were included from 39 MCs. Most (n = 547,70%) were diagnosed with dementia due to Alzheimer's disease (AD). Patients with Frontotemporal lobe dementia (FTD, n = 87, 11%) were youngest (61±6.0y). Over half (55%) of patients were experiencing symptoms for ≥2 years. We initiated a Dutch national YOD database to improve diagnosis and care for this underrepresented and vulnerable patient group. The database provides a basis for future in-depth studies on YOD.
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Affiliation(s)
- Aniek M. van Gils
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| | - Hanneke F. M. Rhodius‐Meester
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
- Department of Internal MedicineGeriatric Medicine SectionAmsterdam Cardiovascular Sciences InstituteVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Department of Geriatric MedicineThe Memory ClinicOslo University HospitalOsloNorway
| | - Anna E. Leeuwis
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| | - Dédé Handgraaf
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| | - Christian Bakker
- Department of Primary and Community CareRadboud University Medical CenterNijmegenThe Netherlands
- Alzheimer CenterRadboud UMCNijmegenThe Netherlands
- Center for Specialized Geriatric CareGroenhuysenRoosendaalThe Netherlands
| | - Kirsten Peetoom
- Department of Psychiatry and Neuropsychology/Alzheimer Center LimburgSchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Femke H. Bouwman
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| | - Yolande A. L. Pijnenburg
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
| | - Janne M. Papma
- Department of Neurology and Alzheimer Center Erasmus MCErasmus MC University Medical CenterRotterdamThe Netherlands
| | | | - Niki Schoonenboom
- Department of Clinical Geriatrics Spaarne GasthuisHaarlemThe Netherlands
| | - Astrid van Strien
- Department of Geriatric MedicineJeroen Bosch Hospital‘s‐HertogenboschThe Netherlands
| | - Nicolaas A. Verwey
- Department of NeurologyMedical Center LeeuwardenLeeuwardenThe Netherlands
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology/Alzheimer Center LimburgSchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Marjolein E. de Vugt
- Department of Psychiatry and Neuropsychology/Alzheimer Center LimburgSchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center AmsterdamDepartment of NeurologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamThe Netherlands
- Department of Epidemiology and Data ScienceVrije Universiteit AmsterdamAmsterdamThe Netherlands
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Dijkstra AA, Haify S, Verwey NA, Prins ND, van der Toorn E, Rozemuller AJ, Bugiani M, den Dunnen W, Todd PK, Charlet‐Berguerand N, Willemsen R, Hukema R, Hoozemans JJ. Neuropathology of FMR1‐premutation carriers presenting with dementia and neuropsychiatric symptoms. Alzheimers Dement 2020. [DOI: 10.1002/alz.044916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Anke A. Dijkstra
- Department of Pathology Amsterdam Neuroscience, Amsterdam University Medical Center Amsterdam Netherlands
| | - Saif Haify
- Erasmus Medical Center Rotterdam Netherlands
| | | | - Niels D. Prins
- Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
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Verwey NA, Teunissen CE, Hoozemans JJM, Rozemuller AJM, Scheltens P, Pijnenburg YAL. Cerebrospinal Fluid Amyloid-β Subtypes in Confirmed Frontotemporal Lobar Degeneration Cases: A Pilot Study. J Alzheimers Dis 2019; 71:15-20. [PMID: 31356209 DOI: 10.3233/jad-190344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
To investigate amyloid-β (Aβ) in frontotemporal dementia (FTD), cerebrospinal fluid (CSF) Aβ38, Aβ40, and Aβ42 in frontotemporal lobar degeneration (FTLD; N = 18 genetically and/or pathologically confirmed and N = 8 FTD with concomitant amyotrophic lateral sclerosis) were compared with Alzheimer's disease (AD; pathological or Pittsburgh-compound-B Positron-emission-tomography (PIB-PET) positive; N = 25) and controls (N = 24). For all the Aβ subtypes, group difference was seen and post-hoc analysis revealed lower levels in FTLD compared to controls (p≤0.05). Aβ42/40 ratio showed no difference between FTLD and controls; however, a difference was seen between AD versus FTLD (p < 0.01). This is an intriguing finding, suggesting a possible role of Aβ in FTLD pathogenesis.
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Affiliation(s)
- Nicolaas A Verwey
- Department of Neurology, Medisch Centrum Leeuwarden, The Netherlands
| | - Charlotte E Teunissen
- Departments of Clinical Chemistry, Amsterdam University Medical Center location VUmc, Alzheimer Center, Amsterdam, The Netherlands
| | - Jeroen J M Hoozemans
- Departments of Pathology, Amsterdam University Medical Center location VUmc, Alzheimer Center, Amsterdam, The Netherlands
| | - Annemieke J M Rozemuller
- Departments of Pathology, Amsterdam University Medical Center location VUmc, Alzheimer Center, Amsterdam, The Netherlands
| | - Philip Scheltens
- Departments of Neurology, Amsterdam University Medical Center location VUmc, Alzheimer Center, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Departments of Neurology, Amsterdam University Medical Center location VUmc, Alzheimer Center, Amsterdam, The Netherlands
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Handels R, Zwan MD, Pelkmans W, Bouwman FH, Biessels GJ, Roks G, Schoonenboom NS, Verwey NA, Van Berckel BN, van der Flier WM, Verhey FR, Scheltens P. P2-365: ADDED DIAGNOSTIC VALUE OF 18F-FLUTEMETAMOL PET SCANNING IN YOUNG PATIENTS WITH DEMENTIA. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.2772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Ron Handels
- Maastricht University; Department of Psychiatry and Neuropsychology; Alzheimer Centre Limburg; School for Mental Health and Neurosciences; Maastricht Netherlands
- Karolinska Institutet; Department for Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Div of Neurogeriatrics; Solna Sweden
| | | | - Wiesje Pelkmans
- Alzheimer Center and Department of Neurology; VU University Medical Center; Amsterdam Netherlands
| | - Femke H. Bouwman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus; University Medical Center Utrecht; Utrecht Netherlands
| | - Gerwin Roks
- Elisabeth-TweeSteden Ziekenhuis; Tilburg Netherlands
| | | | | | | | | | | | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
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6
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Verwey NA, Teunissen CE, Hoozemans JJ, Rozemuller AM, Scheltens P, Pijnenburg YA. P1-433: DECREASED CSF AMYLOID BETA 38, 40 AND 42 IN GENETICALLY AND PATHOLOGICALLY CONFIRMED FTD. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.1038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
| | - Charlotte E. Teunissen
- Department of Clinical Chemistry, Neurochemistry Laboratory and Biobank, Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
| | | | - Annemieke M. Rozemuller
- Department of Pathology, Amsterdam Neuroscience; Amsterdam UMC, Vrije Universiteit Amsterdam; Amsterdam Netherlands
| | - Philip Scheltens
- VU University Medical Center, Alzheimer Center; Amsterdam Neuroscience; Amsterdam Netherlands
| | - Yolande A.L. Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
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7
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Kuiperij HB, Versleijen AAM, Beenes M, Verwey NA, Benussi L, Paterlini A, Binetti G, Teunissen CE, Raaphorst J, Schelhaas HJ, Küsters B, Pijnenburg YAL, Ghidoni R, Verbeek MM. Tau Rather than TDP-43 Proteins are Potential Cerebrospinal Fluid Biomarkers for Frontotemporal Lobar Degeneration Subtypes: A Pilot Study. J Alzheimers Dis 2018; 55:585-595. [PMID: 27662293 DOI: 10.3233/jad-160386] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Frontotemporal dementia (FTD) is a heterogeneous disease both at the clinical, genetic, and pathobiological level. The underlying pathological spectrum (termed FTLD, frontotemporal lobar degeneration) is in most cases defined by accumulation of either tau (FTLD-tau) or TDP-43 proteins (FTLD-TDP). Biomarkers to differentiate these subtypes are not yet available, whereas these are essential requirements to study the natural course of disease and for homogeneous inclusion of patients in clinical studies. OBJECTIVE To study if a combination of total (t-) and phosphorylated (p-)tau, and t-TDP-43 and p-TDP-43 proteins in cerebrospinal fluid (CSF) is suitable to discriminate FTLD-tau and FTLD-TDP subtypes. METHODS We developed immunoassays for the quantification of t-TDP-43 and p-TDP-43 proteins and used commercially available assays for the quantification of t-tau and p-tau proteins. We quantified these proteins in ventricular CSF samples from neuropathologically defined FTLD-tau and FTLD-TDP cases to study the reflection of underlying brain pathology in CSF composition, and in lumbar CSF samples from FTLD-tau and FTLD-TDP patients to study the diagnostic potential of CSF biomarkers. RESULTS In ventricular CSF, t-TDP-43 and t-tau levels, when combined into one model, were significantly different between neuropathologically-defined FTLD-tau and FTLD-TDP cases. In a pilot study using lumbar CSF, the p-tau/t-tau ratio, but not t-TDP-43 levels, were significantly different between FTLD-TDP and FTLD-tau patients. CONCLUSION We conclude that with current available methods, CSF tau, rather than TDP-43 proteins, may have diagnostic value in the differentiation of FTLD patients with either tau or TDP-43 pathology.
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Affiliation(s)
- H Bea Kuiperij
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Marijke Beenes
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Nicolaas A Verwey
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Present affiliation: Medisch Centrum Leeuwarden, Leeuwarden, The Netherlands
| | - Luisa Benussi
- Molecular Markers Lab, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Anna Paterlini
- Molecular Markers Lab, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Giuliano Binetti
- Molecular Markers Lab, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Charlotte E Teunissen
- Department of Clinical Chemistry, VU University Medical Center, Amsterdam, The Netherlands
| | - Joost Raaphorst
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Helenius J Schelhaas
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Benno Küsters
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Roberta Ghidoni
- Molecular Markers Lab, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Marcel M Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
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Krudop WA, Bosman S, Geurts JJG, Sikkes SAM, Verwey NA, Stek ML, Scheltens P, Rozemuller AJM, Pijnenburg YAL. Clinico-Pathological Correlations of the Frontal Lobe Syndrome: Results of a Large Brain Bank Study. Dement Geriatr Cogn Disord 2016; 40:121-9. [PMID: 26088035 DOI: 10.1159/000430460] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/09/2015] [Indexed: 11/19/2022] Open
Abstract
AIMS A clinical frontal lobe syndrome (FLS) is generally attributed to functional or structural disturbances within frontal-subcortical circuits. We studied the distribution of pathological brain changes in FLS. Additionally, the prevalence of FLS among various disorders was studied. METHODS We systematically screened clinical files of donors to the Netherlands Brain Bank (n = 2,814) for FLS. A total of 262 FLS cases were identified, and the distribution of postmortem pathological changes within the frontal-subcortical circuits was extracted from their neuropathological reports. RESULTS In 244 out of 262 patients (93%), pathological changes within the frontal-subcortical circuits were found: 90 subjects (34%) with frontal cortical pathology and 18 (7%) with pathology restricted to subcortical grey matter nuclei, whereas 136 subjects (52%) showed both cortical and subcortical pathology. In 18 subjects (7%), no pathology was found in the examined areas. The prevalence of FLS was highest in frontal-temporal lobar degeneration, followed by progressive supranuclear palsy and vascular dementia [χ(2)(6, n = 1,561) = 222.64, p < 0.01]. CONCLUSION In this large brain bank study, the distribution of pathological changes in subjects with FLS was shown to be frontal-subcortical for the first time. A minority of FLS cases had pathology in the subcortical regions only or no frontal pathology at all.
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Affiliation(s)
- Welmoed A Krudop
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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9
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Pijnenburg YAL, Verwey NA, van der Flier WM, Scheltens P, Teunissen CE. Discriminative and prognostic potential of cerebrospinal fluid phosphoTau/tau ratio and neurofilaments for frontotemporal dementia subtypes. Alzheimers Dement (Amst) 2015; 1:505-12. [PMID: 27239528 PMCID: PMC4879490 DOI: 10.1016/j.dadm.2015.11.001] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Introduction A decreased cerebrospinal fluid (CSF) p-Tau181 to total tau ratio (p/t-tau) is a biomarker for frontotemporal lobar degeneration with TDP43 inclusions (FTLD-TDP) and for amyotrophic lateral sclerosis (ALS). CSF light chain neurofilaments (NfL) are increased in ALS. We examined whether CSF p/t-tau and NfL are related to ALS status in FTLD-TDP. Methods We compared CSF p/t-tau and NfL levels between patients with FTLD-TDP with ALS (n = 15), FTLD-TDP without ALS (n = 17), FTLD-Tau (n = 6), Alzheimer's disease (AD; n = 25), and subjective memory complaints (SMC, n = 24). Results Apart from FTLD-Tau, all groups differed significantly with increasing p/t-tau ratios from FTLD-TDP with ALS to FTLD-TDP without ALS to AD and SMC. CSF NfL was very high in FTLD-TDP with ALS followed by FTLD-TDP without ALS, AD, and SMC. Both biomarkers correlated with survival. Discussion CSF p/t-tau ratio and NfL levels are strongly driven by ALS status. These markers, therefore, appear to be more of prognostic than diagnostic significance.
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Affiliation(s)
- Yolande A L Pijnenburg
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Nicolaas A Verwey
- Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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Verwey NA, Hoozemans JJM, Korth C, van Royen MR, Prikulis I, Wouters D, Twaalfhoven HAM, van Haastert ES, Schenk D, Scheltens P, Rozemuller AJM, Blankenstein MA, Veerhuis R. Immunohistochemical characterization of novel monoclonal antibodies against the N-terminus of amyloid β-peptide. Amyloid 2013; 20:179-87. [PMID: 23829200 DOI: 10.3109/13506129.2013.797389] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Abstract Amyloid β-peptide (Aβ) is a key molecule in Alzheimer's disease (AD). Reliable immunohistochemical (IHC) methods to detect Aβ and Aβ-associated factors (AAF) in brain specimens are needed to determine their role in AD pathophysiology. Formic acid (FA) pre-treatment, which is generally used to enable efficient detection of Aβ with IHC, induces structural modifications within the Aβ, as well as in AAF. Consequently, interpretation of double IHC stainings becomes difficult. Therefore, serial stainings of two newly produced monoclonal antibodies (mAbs) VU-17 and IC16 and two other mAbs (6E10 and 3D6) were performed with four different pre-treatments (no pre-treatment, Tris/EDTA, citrate and FA) and additionally six IHC characteristics were scored: diffuse/compact/classic plaques, arteries with cerebral Aβ angiopathy, dyshoric angiopathy, capillaries with dyshoric angiopathy. Subsequently, these stainings were compared with IHC procedures, which are frequently used in a diagnostic setting, employing mAbs 4G8 and 6F/3D with FA pre-treatment. IHC Aβ patterns obtained with VU-17 and, IC16 and 3D6 without the use of FA pre-treatment were comparable to those obtained with 4G8 and 6F/3D upon FA pre-treatment. Omission of FA pre-treatment gives the advantage to allow double IHC stainings, detecting both Aβ and AAF that otherwise would have been structural modificated upon FA pre-treatment.
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Affiliation(s)
- Nicolaas A Verwey
- Department of Neurology and Alzheimer Center, VU University Medical Center, the Netherlands.
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Schoonenboom NSM, Reesink FE, Verwey NA, Kester MI, Teunissen CE, van de Ven PM, Pijnenburg YAL, Blankenstein MA, Rozemuller AJ, Scheltens P, van der Flier WM. Cerebrospinal fluid markers for differential dementia diagnosis in a large memory clinic cohort. Neurology 2011; 78:47-54. [PMID: 22170879 DOI: 10.1212/wnl.0b013e31823ed0f0] [Citation(s) in RCA: 211] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- N S M Schoonenboom
- Departments of Neurology, VU University Medical Center, Alzheimer Center, Amsterdam, The Netherlands.
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Goos JDC, Teunissen CE, Veerhuis R, Verwey NA, Barkhof F, Blankenstein MA, Scheltens P, van der Flier WM. Microbleeds relate to altered amyloid-β metabolism in Alzheimer's disease. Neurobiol Aging 2011; 33:1011.e1-9. [PMID: 22118945 DOI: 10.1016/j.neurobiolaging.2011.10.026] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2011] [Revised: 10/21/2011] [Accepted: 10/23/2011] [Indexed: 10/14/2022]
Abstract
Cerebral microbleeds (MBs) may relate to amyloid in dementia. We selected 26 probable Alzheimer's disease (AD) patients with MBs, 26 age- and sex-matched AD patients without MBs, 11 vascular dementia (VaD) patients, and 22 patients with subjective complaints. We measured amyloid beta 1-42 (Aβ42) and 1-40 (Aβ40) in cerebrospinal fluid (CSF) and plasma, and blood-brain barrier (BBB) function using albumin ratios. CSF Aβ42 was lowest in AD with MBs, whereas Aβ40 was selectively decreased in VaD. In plasma, amyloid-beta was nonsignificantly elevated in VaD compared with controls. Higher albumin ratios in VaD suggested blood-brain barrier dysfunction. A MB pattern suggestive of cerebral amyloid angiopathy (CAA) related to lower CSF Aβ42, while a non-cerebral amyloid angiopathy specific MB distribution related to higher plasma Aβ40. Amyloid-beta is differentially implicated in AD with MBs and VaD. MB distribution related to different amyloid profiles, supporting distinct etiologies. Our results suggest that Aβ42 is retained in cerebrovasculature of AD patients with MBs, while in contrast, VaD patients may possibly drain amyloid.
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Affiliation(s)
- Jeroen D C Goos
- Alzheimer Center, VU University Medical Center, Amsterdam, the Netherlands.
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13
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Kester MI, Verwey NA, van Elk EJ, Blankenstein MA, Scheltens P, van der Flier WM. Progression from MCI to AD: Predictive value of CSF Aβ42 is modified by APOE genotype. Neurobiol Aging 2011; 32:1372-8. [DOI: 10.1016/j.neurobiolaging.2009.08.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2009] [Revised: 07/21/2009] [Accepted: 08/17/2009] [Indexed: 10/20/2022]
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Witlox J, Kalisvaart KJ, de Jonghe JF, Verwey NA, van Stijn MF, Houdijk AP, Traast HS, MacLullich AM, van Gool WA, Eikelenboom P. Cerebrospinal Fluid β-Amyloid and Tau Are Not Associated with Risk of Delirium: A Prospective Cohort Study in Older Adults with Hip Fracture. J Am Geriatr Soc 2011; 59:1260-7. [DOI: 10.1111/j.1532-5415.2011.03482.x] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Bouwman FH, Verwey NA, Klein M, Kok A, Blankenstein MA, Sluimer JD, Barkhof F, van der Flier WM, Scheltens P. New research criteria for the diagnosis of Alzheimer's disease applied in a memory clinic population. Dement Geriatr Cogn Disord 2010; 30:1-7. [PMID: 20606438 DOI: 10.1159/000315542] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/11/2010] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND In the newly proposed research criteria for Alzheimer's disease (AD), patients are defined as having memory dysfunction in addition to either hippocampal atrophy or an abnormal cerebrospinal fluid (CSF) profile. This study applies the criteria in a memory clinic population, using clinical criteria as the reference criterion. METHODS 138 AD patients, 145 nondemented subjects, 78 patients with other dementias and 91 patients with mild cognitive impairment (MCI) were included. Dichotomized medial temporal lobe atrophy (MTA) score on MRI and dichotomized CSF profiles (based on beta-amyloid1-42, tau and phosphorylated tau at threonine 181 levels) were used in combination with an episodic memory test to assess sensitivity, specificity and likelihood ratios (LR) of the newly proposed criteria and their components separately. RESULTS We found specificities of 95 and 49% for comparison with nondemented subjects and other demented patients, respectively, with a sensitivity of 86% for AD. Specificity was highest (100 and 77%, respectively, LR+ = 48) when both MTA score and CSF profile were abnormal in addition to the episodic memory test, at the cost of a low sensitivity (48%). CONCLUSION The newly proposed research criteria for AD yield a good specificity for comparison with nondemented subjects. When the type of dementia is clinically doubted, however, at least two supportive features should be considered (i.e. abnormal MTA score and CSF profile) in addition to memory impairment as core diagnostic criterion.
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Affiliation(s)
- F H Bouwman
- Alzheimer Center and Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
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16
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Petzold A, Verwey NA, van Uffelen K, Blankenstein MA, Teunissen C. Batch prepared protein standards for cerebrospinal fluid (CSF) biomarkers for neurodegeneration. J Neurosci Methods 2010; 193:296-9. [PMID: 20832428 DOI: 10.1016/j.jneumeth.2010.08.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2010] [Revised: 08/11/2010] [Accepted: 08/26/2010] [Indexed: 11/16/2022]
Abstract
Immuno-assays are increasingly used for quantification of protein biomarkers for neurodegeneration. It has been proposed to use such cerebrospinal fluid (CSF) protein biomarkers as diagnostic tests for Alzheimer's disease. In two recent world-wide validation studies we found the analytical accuracy to be poor (inter-laboratory coefficient of variation, CV>10%) for CSF tau protein, CSF phospho-tau protein, CSF amyloid beta protein and the CSF neurofilament light chain protein. Retrospectively we suspected that the lack of preparation of accurate and consistent protein standards may have been one reason for the poor inter-laboratory CV. Here we confirm this hypothesis prospectively under standardised and optimised conditions. The CVs for CSF tau, CSF phospho-tau and CSF amyloid beta of individually prepared standards are 8%, 12% and 12% compared to significantly lower CVs for batch prepared standards (5%, 8%, 7%, respectively, p<0.05). This issue will need to be solved in order to ensure that the attempts to include these CSF protein biomarkers either as a diagnostic tool or a secondary outcome measure for treatment trials will be successful.
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Affiliation(s)
- A Petzold
- Department of Neurology, VU Medical Center, Amsterdam, The Netherlands.
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Verwey NA, Kester MI, van der Flier WM, Veerhuis R, Berkhof H, Twaalfhoven H, Blankenstein MA, Scheltens And P, Pijnenburg YAL. Additional value of CSF amyloid-beta 40 levels in the differentiation between FTLD and control subjects. J Alzheimers Dis 2010; 20:445-52. [PMID: 20164558 DOI: 10.3233/jad-2010-1392] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
To determine the additional value of cerebrospinal fluid (CSF)amyloid-beta1-40 (Abeta40) next to amyloid-beta1-42 (beta42), total tau (Tau), and tau phosphorylated at threonine-181 (pTau) to distinguish patients with frontotemporal lobar degeneration (FTLD), Alzheimer's disease (AD), and controls, we measured CSF levels of Abeta40, Abeta42, pTau, and Tau in 55 patients with FTLD, 60 with AD, and 40 control subjects. Logistic regression was used to identify biomarkers that best distinguished the groups. Additionally, a decision tree (cost=test method; Matlab 7.7) was used to predict diagnosis selecting the best set of biomarkers with the optimal cut-off. Logistic regression showed that Abeta42 and pTau CSF levels provided optimal distinction between AD and FTLD. A combination of Abeta42, Tau, and Abeta40 optimally discriminated FTLD from controls and AD from controls. The decision tree used Abeta42 (cut-off 578 pg/ml) to identify AD (positive predictive value (PPV) 97%), followed by Tau(cut-off 336 pg/ml) to identify FTLD (PPV 67%), and in the last step,Abeta40 (cut-off 10 ng/ml) was used to differentiate controls (PPV68%). Applying CSF Abeta40 levels in the model, the PPV of diagnosis increased to 75% as opposed to 70% when only Abeta42 and Tau were used. CSF Abeta40 levels added to the conventional CSF biomarkers increases the potential to discriminate subjects with dementia from controls. Our findings favor the implementation of CSF Abeta40 in differential diagnosis between FTLD, AD, and control subjects.
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Affiliation(s)
- Nicolaas A Verwey
- Department of Neurology, VU University Medical Center, Alzheimer Center Amsterdam, The Netherlands.
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Mulder C, Verwey NA, van der Flier WM, Bouwman FH, Kok A, van Elk EJ, Scheltens P, Blankenstein MA. Amyloid-β(1–42), Total Tau, and Phosphorylated Tau as Cerebrospinal Fluid Biomarkers for the Diagnosis of Alzheimer Disease. Clin Chem 2010; 56:248-53. [PMID: 19833838 DOI: 10.1373/clinchem.2009.130518] [Citation(s) in RCA: 244] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Abstract
Background: To improve ante mortem diagnostic accuracy of Alzheimer disease (AD), measurement of the biomarkers amyloid-β(1–42) (Aβ42), total tau (Tau), and tau phosphorylated at threonine181 (pTau) in cerebrospinal fluid (CSF) has been proposed. We have used these markers and evaluated their performance.
Methods: From January 2001 to January 2007, we assessed Aβ42, Tau, and pTau by commercial ELISAs in CSF from 248 consecutive AD patients and 131 patients with subjective memory complaints attending our outpatient memory clinic. Diagnoses were made blind to the results of the biomarker assays. We assessed sensitivity and specificity and analyzed trends over time.
Results: Interassay CVs from analysis of pools of surplus CSF specimens were mean 11.3% (SD 4.9%) for Aβ42; 9.3% (1.5%) for Tau, and 9.4% (2.5%) for pTau, respectively (n = 7–18). To achieve 85% sensitivity, cutoff values were 550 (95% CI 531–570) ng/L for Aβ42; 375 (325–405) ng/L for Tau, and 52 (48–56) ng/L for pTau. Corresponding specificities were 83% (95% CI 76%–89%) for Aβ42, 78% (70%–85%) for Tau, and 68% (60%–77%) for pTau. Logistic regression to investigate the simultaneous impact of the 3 CSF biomarkers on the diagnosis yielded a sensitivity of 93.5% and specificity of 82.7%, at a discrimination line of Aβ42 = 373 + 0.82 × Tau. The area under the ROC curves of Tau and pTau showed significant fluctuation over time.
Conclusions: CSF biomarkers Aβ42 and Tau can be used as a diagnostic aid in AD. pTau did not have additional value over these 2 markers. Cutoff values, sensitivities, specificities, and discrimination lines depend on the patient groups studied and laboratory experience.
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Affiliation(s)
| | - Nicolaas A Verwey
- Department of Clinical Chemistry and
- Department of Neurology, VU University Medical Center, Alzheimer Center, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Department of Neurology, VU University Medical Center, Alzheimer Center, Amsterdam, the Netherlands
| | - Femke H Bouwman
- Department of Neurology, VU University Medical Center, Alzheimer Center, Amsterdam, the Netherlands
| | | | | | - Philip Scheltens
- Department of Neurology, VU University Medical Center, Alzheimer Center, Amsterdam, the Netherlands
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Henneman WJP, Vrenken H, Barnes J, Sluimer IC, Verwey NA, Blankenstein MA, Klein M, Fox NC, Scheltens P, Barkhof F, van der Flier WM. Baseline CSF p-tau levels independently predict progression of hippocampal atrophy in Alzheimer disease. Neurology 2009; 73:935-40. [PMID: 19770469 DOI: 10.1212/wnl.0b013e3181b879ac] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate whether baseline CSF biomarkers are associated with hippocampal atrophy rate as a measure of disease progression in patients with Alzheimer disease (AD), patients with mild cognitive impairment (MCI), and controls, controlling for baseline neuropsychological and MRI findings. METHODS We assessed data from 31 patients with AD, 25 patients with MCI, and 19 controls (mean age 68 +/- 8 years; 39 [52%] female) who visited our memory clinic and had received serial MRI scanning (scan interval 1.7 +/- 0.7 years). At baseline, CSF biomarkers (amyloid beta 1-42, tau, and tau phosphorylated at threonine 181 [p-tau]) were obtained, as well as neuropsychological data. Baseline MRI scans were assessed using visual rating scales for medial temporal lobe atrophy (MTA), global cortical atrophy, and white matter hyperintensities. Hippocampal atrophy rates were estimated using regional nonlinear "fluid" registration of follow-up scan to baseline scan. RESULTS Stepwise multiple linear regression, adjusted for age and sex, showed that increased CSF p-tau levels (beta [standard error]: -0.79 [0.35]) at baseline was independently associated with higher subsequent hippocampal atrophy rates (p < 0.05), together with poorer memory performance (0.09 [0.04]) and more severe MTA (-0.60 [0.21]). The association of memory function with hippocampal atrophy rate was explained by the link with diagnosis, because it disappeared from the model after we additionally corrected for diagnosis. CONCLUSIONS Baseline CSF levels of tau phosphorylated at threonine 181 are independently associated with subsequent disease progression, as reflected by hippocampal atrophy rate. This effect is independent of baseline neuropsychological and MRI predictors. Our results imply that predicting disease progression can best be achieved by combining information from different modalities.
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Affiliation(s)
- W J P Henneman
- Department of Radiology and Alzheimer Center, VU University Medical Center, 1007 MB Amsterdam, The Netherlands.
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20
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van der Vlies AE, Verwey NA, Bouwman FH, Blankenstein MA, Klein M, Scheltens P, van der Flier WM. CSF biomarkers in relationship to cognitive profiles in Alzheimer disease. Neurology 2009; 72:1056-61. [PMID: 19307538 DOI: 10.1212/01.wnl.0000345014.48839.71] [Citation(s) in RCA: 71] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the relationship between CSF biomarkers and cognitive profiles in Alzheimer disease (AD). METHODS We included 177 patients with AD. Digit Span, Visual Association Test (VAT), VAT object naming, Trail Making Test (TMT), and category fluency were used to assess cognitive functions. Disease severity was assessed using Mini-Mental State Examination; functional impairment was rated by Clinical Dementia Rating. In CSF, levels of amyloid-beta 1-42 (Abeta(1-42)), tau, and tau phosphorylated at threonine 181 (p-tau) were measured. K-means cluster analysis was performed with the three biomarkers to obtain three clusters. Multivariate analysis of variance for repeated measures was performed with CSF cluster as between-subjects factor, neuropsychological z scores as within-subjects variable, and age, sex, and education as covariates. RESULTS Cluster 1 consisted of 88 patients (49%) with relatively high levels of Abeta(1-42) and low levels of tau and p-tau. Cluster 2 contained 72 patients (41%) with relatively low levels of Abeta(1-42) and high levels of tau and p-tau. Cluster 3 was made up of 17 patients (10%) with low levels of Abeta(1-42) and very high levels of tau and p-tau. No differences between clusters on age, sex, education, APOE genotype, disease duration, functional impairment, or disease severity were found. Patients in cluster 3 performed worse on VAT, TMT-A and -B, and fluency. CONCLUSIONS Clusters of CSF biomarker levels are related to cognitive profiles in Alzheimer disease. A subgroup of patients with extremely high CSF levels of tau and tau phosphorylated at threonine 181 shows a distinct cognitive profile with more severe impairment of memory, mental speed, and executive functions, which cannot be explained by disease severity.
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Affiliation(s)
- A E van der Vlies
- Department of Neurology and Alzheimer Center, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
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21
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Tolboom N, van der Flier WM, Yaqub M, Boellaard R, Verwey NA, Blankenstein MA, Windhorst AD, Scheltens P, Lammertsma AA, van Berckel BNM. Relationship of cerebrospinal fluid markers to 11C-PiB and 18F-FDDNP binding. J Nucl Med 2009; 50:1464-70. [PMID: 19690025 DOI: 10.2967/jnumed.109.064360] [Citation(s) in RCA: 131] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
UNLABELLED The purpose of this study was to investigate the potential relationships between cerebrospinal fluid (CSF) measurements of beta-amyloid-1-42 (Abeta(1-42)) and total tau to (11)C-Pittsburgh compound B ((11)C-PiB) and 2-(1-{6-[(2-(18)F-fluoroethyl)(methyl)amino]-2-naphthyl}ethylidene) malononitrile ((18)F-FDDNP) binding as measured using PET. METHODS A total of 37 subjects were included, consisting of 15 patients with Alzheimer disease (AD), 12 patients with mild cognitive impairment, and 10 healthy controls. All subjects underwent a lumbar puncture and PET using both (11)C-PiB and (18)F-FDDNP. For both PET tracers, parametric images of binding potential were generated. Potential associations of CSF levels of Abeta(1-42) and tau with (11)C-PiB and (18)F-FDDNP binding were assessed using Pearson correlation coefficients and linear regression analyses. RESULTS For both global (11)C-PiB and (18)F-FDDNP binding, significant correlations with CSF levels of Abeta(1-42) (r = -0.72 and -0.37, respectively) and tau (r = 0.58 and 0.56, respectively) were found across groups (all P < 0.001, except P < 0.05 for correlation between (18)F-FDDNP and Abeta(1-42)). Linear regression analyses showed that, adjusted for regional volume, age, sex, and diagnosis, global (11)C-PiB uptake had an inverse association with Abeta(1-42) CSF levels (standardized beta = -0.50, P < 0.001), whereas there was a positive association between global (18)F-FDDNP binding and tau CSF levels (standardized beta = 0.62, P < 0.01). CONCLUSION The good agreement between these 2 different types of biomarkers (i.e., CSF and PET) provides converging evidence for their validity. The inverse association between (11)C-PiB and CSF tau Abeta(1-42) confirms that (11)C-PiB measures amyloid load in the brain. The positive association between (18)F-FDDNP and CSF tau suggests that at least part of the specific signal of (18)F-FDDNP in AD patients is due to tangle formation.
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Affiliation(s)
- Nelleke Tolboom
- Departments of Nuclear Medicine and PET Research, VU University Medical Centre, Amsterdam, The Netherlands.
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22
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Verwey NA, Veerhuis R, Twaalfhoven HAM, Wouters D, Hoozemans JJM, Bollen YJM, Killestein J, Bibl M, Wiltfang J, Hack CE, Scheltens P, Blankenstein MA. Quantification of amyloid-beta 40 in cerebrospinal fluid. J Immunol Methods 2009; 348:57-66. [PMID: 19576899 DOI: 10.1016/j.jim.2009.06.011] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2009] [Revised: 05/08/2009] [Accepted: 06/24/2009] [Indexed: 12/01/2022]
Abstract
BACKGROUND Truncated forms and full-length forms of the amyloid-beta 40 (Abeta40) are key molecules in the pathogenesis of dementia, and are detectable in CSF. Reliable methods to detect these biomarkers in CSF are of great importance for understanding the disease mechanisms and for diagnostic purposes. METHODS VU-alpha-Abeta40, a monoclonal antibody (mAb) specifically detecting Abeta40, was generated and characterized by solid and fluid phase ELISA, surface plasmon resonance spectroscopy (SPRS), immunoprecipitation (IP), immunohistochemical and Western blot (WB) analysis. In addition, an ELISA with VU-alpha-Abeta40 as catching and 6E10 as detecting mAbs was set up and validated. This ELISA was used to measure Abeta40 in CSF of controls (N=27), patients with Alzheimer's disease (AD; N=20), frontotemporal lobe dementia (FTLD; N=14), noninflammatory (N=15) and inflammatory (N=15) neurological conditions. RESULTS VU-alpha-Abeta40 specifically recognizes Abeta40 with high affinity (K(A)=1.3x10(9) M(-1)) and detects Abeta40 in AD brain specimens. The developed sandwich ELISA has a detection limit of 0.21 ng/mL, a mean recovery of 90%, and an intra- and inter-assay CV of 1.4% and 7.3%. FTLD patients had a lower mean level of Abeta40 (8.8 (1.9) ng/mL) than controls (12.0 (1.7) ng/mL); p<0.01). CONCLUSIONS VU-alpha-Abeta40 was successfully implemented in an ELISA which enables us to measure Abeta40 accurately in human CSF. Clinical validation revealed lower levels of Abeta40 in FTLD patients. This finding opens new possibilities for early and differential diagnosis of dementia.
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Affiliation(s)
- Nicolaas A Verwey
- Department of Neurology, VU University Medical Center, Alzheimer Center Amsterdam, P.O. Box 7057, 1007 MB Amsterdam, the Netherlands.
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Verwey NA, van der Flier WM, Blennow K, Clark C, Sokolow S, De Deyn PP, Galasko D, Hampel H, Hartmann T, Kapaki E, Lannfelt L, Mehta PD, Parnetti L, Petzold A, Pirttila T, Saleh L, Skinningsrud A, Swieten JCV, Verbeek MM, Wiltfang J, Younkin S, Scheltens P, Blankenstein MA. A worldwide multicentre comparison of assays for cerebrospinal fluid biomarkers in Alzheimer's disease. Ann Clin Biochem 2009; 46:235-40. [PMID: 19342441 DOI: 10.1258/acb.2009.008232] [Citation(s) in RCA: 136] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND Different cerebrospinal fluid (CSF) amyloid-beta 1-42 (Abeta(1-42)), total Tau (Tau) and Tau phosphorylated at threonine 181 (P-Tau) levels are reported, but currently there is a lack of quality control programmes. The aim of this study was to compare the measurements of these CSF biomarkers, between and within centres. METHODS Three CSF-pool samples were distributed to 13 laboratories in 2004 and the same samples were again distributed to 18 laboratories in 2008. In 2004 six laboratories measured Abeta(1-42), Tau and P-Tau and seven laboratories measured one or two of these marker(s) by enzyme-linked immunosorbent assays (ELISAs). In 2008, 12 laboratories measured all three markers, three laboratories measured one or two marker(s) by ELISAs and three laboratories measured the markers by Luminex. RESULTS In 2004, the ELISA intercentre coefficients of variance (interCV) were 31%, 21% and 13% for Abeta(1-42), Tau and P-Tau, respectively. These were 37%, 16% and 15%, respectively, in 2008. When we restricted the analysis to the Innotest (N = 13) for Abeta(1-42), lower interCV were calculated (22%). The centres that participated in both years (N = 9) showed interCVs of 21%, 15% and 9% and intra-centre coefficients (intraCV) of variance of 25%,18% and 7% in 2008. CONCLUSIONS The highest variability was found for Abeta(1-42). The variabilities for Tau and P-Tau were lower in both years. The centres that participated in both years showed a high intraCV comparable to their interCV, indicating that there is not only a high variation between but also within centres. Besides a uniform standardization of (pre)analytical procedures, the same assay should be used to decrease the inter/intracentre variation.
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Affiliation(s)
- N A Verwey
- Department of Clinical Chemistry, VU University Medical Center, , HV, The Netherlands.
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Verwey NA, Schuitemaker A, van der Flier WM, Mulder SD, Mulder C, Hack CE, Scheltens P, Blankenstein MA, Veerhuis R. Serum amyloid p component as a biomarker in mild cognitive impairment and Alzheimer's disease. Dement Geriatr Cogn Disord 2009; 26:522-7. [PMID: 19052452 DOI: 10.1159/000178756] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/01/2008] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Serum amyloid P component (SAP), present in amyloid-beta (Abeta) plaques in Alzheimer's disease (AD), may protect Abeta deposits against proteolysis, thereby promoting plaque formation. The aim was to investigate if SAP levels in cerebrospinal fluid (CSF) and serum can be used to discriminate controls, AD and mild cognitive impairment (MCI) patients, and to identify incipient AD among MCI patients. METHODS SAP levels in CSF and serum were determined in 30 controls, 67 MCI and 144 AD patients. At follow-up, 39 MCI patients had progressed to dementia, while 25 had remained stable (mean follow-up time: 2.6 +/- 1.0 and 2.1 +/- 0.8 years). RESULTS Cross-sectionally no differences were found in SAP levels in CSF and serum between the groups. MCI patients that had progressed to dementia at follow-up had lower CSF SAP levels (13 microgram/l, range 3.3-199.3 microgram/l) than MCI nonprogressors (20.2 microgram/l, range 7.0-127.7 microgram/l; p < 0.05) [corrected]. A low CSF SAP level was associated with a 2-fold increased risk of progression to AD (hazard ratio = 2.2; 95% confidence interval = 0.9-5.4). CONCLUSION Our data suggest that measurement of CSF SAP levels can aid in the identification of incipient AD among MCI patients.
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Affiliation(s)
- Nicolaas A Verwey
- Department of Neurology, Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands.
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Verwey NA, Bouwman FH, van der Flier WM, Veerhuis R, Scheltens P, Blankenstein MA. Variability in longitudinal cerebrospinal fluid tau and phosphorylated tau measurements. Clin Chem Lab Med 2008; 46:1300-4. [PMID: 18601592 DOI: 10.1515/cclm.2008.241] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The influence of assay variation and duration of storage on changes in cerebrospinal fluid (CSF) levels of tau and phosphorylated (P)-tau with time was evaluated in 112 patients with various neurological disorders. METHODS These patients (aged 66+/-9 years, 52% male), referred to our memory clinic, underwent two spinal taps (mean interval 19 months) and the baseline samples were assayed twice in a sandwich enzyme-linked immunosorbent assay (ELISA): once after the first spinal tap (A1) and once in a separately stored aliquot (A2) simultaneous with the follow-up sample (B). RESULTS Coefficients of variances (CVs) of tau and P-tau levels determined in repeated spinal taps (DeltaB-A2) measured in one assay (10.9% and 7.6%) were lower (p<0.01) than the CVs observed in two different (DeltaB-A1) assays (16.5% and 11.7%). The CVs of tau and P-tau measurement of one CSF sample repeated on two occasions (DeltaA1-A2) were 12.3% and 8.6%. A difference in mean P-tau level was found if the same CSF samples were repeatedly measured in two different ELISAs (A1-A2). CONCLUSIONS Longitudinal CSF tau and P-tau are best measured in one assay resulting in a lower variability compared to measurement in two different assays. The within person variability in levels of these markers currently limits the use of these ELISAs in a longitudinal clinical setting.
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Affiliation(s)
- Nicolaas A Verwey
- Neurology Department, VU University Medical Center, Alzheimer Center, Amsterdam, The Netherlands.
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Kester MI, Verwey NA, van Elk EJ, Scheltens P, Blankenstein MA. Evaluation of plasma Abeta40 and Abeta42 as predictors of conversion to Alzheimer's disease in patients with mild cognitive impairment. Neurobiol Aging 2008; 31:539-40; author reply 541. [PMID: 18963255 DOI: 10.1016/j.neurobiolaging.2008.07.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2008] [Accepted: 07/23/2008] [Indexed: 11/19/2022]
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Veerhuis R, Verwey NA, Schuitemaker A, Van der Vlier WM, Mulder C, Hack CE, Scheltens P, Blankenstein MA. P3‐099: Serum Amyloid P component as biomarker in Alzheimer's disease. Alzheimers Dement 2008. [DOI: 10.1016/j.jalz.2008.05.1663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Robert Veerhuis
- Clinical Chemistry and Psychiatry Depts. and Alzheimer CenterVrije Universiteit University Medical CenterAmsterdamNetherlands
| | - Nicolaas A. Verwey
- Clinical Chemistry and Neurology Depts. and Alzheimer CenterVrije Universiteit University Medical CenterAmsterdamNetherlands
| | - Alie Schuitemaker
- Nuclear Medicine and PET Research Dept. and Alzheimer CenterVrije Universiteit University Medical CenterAmsterdamNetherlands
| | - Wiesje M. Van der Vlier
- Neurology Dept. and Alzheimer CenterVrije Universiteit University Medical CenterAmsterdamNetherlands
| | - Cees Mulder
- Clinical Chemistry Dept. and Alzheimer CenterVrije Universiteit University Medical CenterAmsterdamNetherlands
| | - C. Erik Hack
- Clinical Chemistry Dept. and Alzheimer CenterVrije Universiteit University Medical CenterAmsterdamNetherlands
| | - Philip Scheltens
- Neurology Dept. and Alzheimer CenterVrije Universiteit University Medical CenterAmsterdamNetherlands
| | - Marinus A. Blankenstein
- Clinical Chemistry Dept. and Alzheimer CenterVrije Universiteit University Medical CenterAmsterdamNetherlands
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Verwey NA, Bouwman FH, Veerhuis R, Scheltens P, Van der Flier WM, Blankenstein MA. P3‐100: Variability in longitudinal CSF Tau and phosporylated Tau measurements. Alzheimers Dement 2008. [DOI: 10.1016/j.jalz.2008.05.1664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Bouwman FH, Verwey NA, Klein M, Pijnenburg YA, Kok A, Blankenstein MA, Sluimer JD, Barkhof F, Van der Flier WM, Scheltens P. P1‐371: New research criteria for the diagnosis of Alzheimer's disease applied in a memory clinic population. Alzheimers Dement 2008. [DOI: 10.1016/j.jalz.2008.05.953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Femke H. Bouwman
- VU University Medical CenterAmsterdamNetherlands
- Catharina HospitalEindhovenNetherlands
| | | | - Martin Klein
- VU University Medical CenterAmsterdamNetherlands
| | | | - Astrid Kok
- VU University Medical CenterAmsterdamNetherlands
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Bouwman FH, Schoonenboom NSM, Verwey NA, van Elk EJ, Kok A, Blankenstein MA, Scheltens P, van der Flier WM. CSF biomarker levels in early and late onset Alzheimer's disease. Neurobiol Aging 2008; 30:1895-901. [PMID: 18403055 DOI: 10.1016/j.neurobiolaging.2008.02.007] [Citation(s) in RCA: 89] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2007] [Revised: 02/01/2008] [Accepted: 02/14/2008] [Indexed: 10/22/2022]
Abstract
OBJECTIVE To compare CSF levels of beta-amyloid 1-42 (Abeta(1-42)), total tau (tau) and tau phosphorylated at threonine 181 (ptau-181) between AD patients and controls according to age. METHODS 248 AD patients (48% men) and 127 controls (51% men, 22 volunteers and 105 subjective complainers) underwent lumbar puncture. Both patients and controls were divided into a young (<65 years) and old (>or=65 years) group. RESULTS All three biomarkers showed main effects of diagnosis (p<0.001). There was an interaction between diagnosis and age for all three biomarkers (p<0.05), as old controls had lower Abeta(1-42) and higher (p)tau than young controls (Abeta(1-42) 699+/-250 versus 866+/-191pg/ml, tau 408+/-245 versus 243+/-102pg/ml, ptau-181 60+/-28 versus 42+/-15pg/ml), but there was no difference according to age among AD patients (Abeta(1-42) 451+/-178 versus 425+/-146pg/ml, tau 741+/-460 versus 798+/-467pg/ml, ptau-181 91+/-42 versus 91+/-41pg/ml). CONCLUSION We found that the older control group had lower Abeta(1-42) and higher (p)tau compared to the younger control group. This suggests that older individuals may have AD pathology, even in the absence of objective cognitive impairment.
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Affiliation(s)
- Femke H Bouwman
- Alzheimer Center and Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands.
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Abstract
OBJECTIVE To develop a short, practical instrument that is sensitive to the specific cognitive deficits in Parkinson's disease (PD) for comparing groups in research situations and for assessing change in cognitive functioning over time. METHODS A literature search was conducted to identify the most frequently affected cognitive domains in PD and to select candidate items for the initial scale. This scale was tested in 85 patients and 75 age-, education-, and sex-matched control subjects. Items that met predefined criteria for data quality, reproducibility, and discriminative properties were included in the final scale. RESULTS The final scale, the SCOPA-COG (SCales for Outcomes of PArkinson's disease-cognition), consists of 10 items with a maximum score of 43, with higher scores reflecting better performance. The test-retest reliability of the total score was 0.78 (intraclass correlation coefficient) and ranged from 0.40 to 0.75 for individual items (weighted kappa). Cronbach's alpha was 0.83. Construct validity of the scale was supported by the expected correlations with the CAMCOG (Cambridge Cognitive Examination) and the Mini-Mental State Examination (MMSE) and by differences found between groups of participants classified by dementia status and between patients grouped by disease severity. The scale showed a clear trend toward lower cognition scores for patients with more advanced PD. The coefficient of variation of the SCOPA-COG was higher than that of the CAMCOG or the MMSE, indicating a better ability to detect differences between individuals. CONCLUSION The SCOPA-COG is a short, reliable, and valid instrument that is sensitive to the specific cognitive deficits in PD.
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Affiliation(s)
- J Marinus
- Department of Neurology, Leiden University Medical Center, The Netherlands
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