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Nysetvold E, Lopez LN, Cogell AN, Fryk H, Pace ND, Taylor SS, Rhoden J, Nichols CA, Pillas D, Klein A, Gasalla T, Scowcroft A. Progressive Supranuclear palsy (PSP) disease progression, management, and healthcare resource utilization: a retrospective observational study in the US and Canada. Orphanet J Rare Dis 2024; 19:215. [PMID: 38778404 PMCID: PMC11112758 DOI: 10.1186/s13023-024-03168-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 03/30/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Progressive supranuclear palsy (PSP) is a rare neurodegenerative brain disease with rapid progression and currently limited treatment options. A comprehensive understanding of disease progression, management, and healthcare resource utilization is limited, and further research is challenging due to the small population of patients. To address these challenges in conducting PSP research, individuals with PSP were recruited using a multichannel approach tailored specifically to the PSP community. We performed a retrospective observational study using data abstracted from participant medical records collected from multiple patient care centers. RESULTS Seventy-two individuals with PSP were eligible for inclusion. On average, 144 medical documents per participant were collected from an average of 2.9 healthcare centers per participant, with a mean study period of 7.9 years. Among participants with a date of symptom onset documented in the medical records, the median time for the onset of the first fall was 2.0 years (IQR 3.2) before diagnosis, the median onset of unsteady gait or gait impairment was 1.2 years (IQR 1.8) before diagnosis, and the median onset of mobility problems was 0.8 years (IQR 1.8) before diagnosis. The most widely utilized healthcare resources, with at least 85% of participants using each of these resources at some point during the disease course, were medications (100%), imaging (99%), assistive devices (90%), supportive care (86%), and surgeries and procedures (85%). CONCLUSIONS This retrospective study adds to the current understanding of PSP symptoms, comorbidities, and healthcare resource utilization (HRU) across the disease journey. By involving individuals with PSP and their caregivers or legally authorized representatives in the research process, this study was unique in its approach to participant recruitment and enabled individuals to participate in research without the need for travel. We collected medical documents from multiple healthcare centers, allowing for broad data collection covering the entire disease journey. This approach to the collection of real-world data may be used to generate valuable insights into many aspects of disease progression and management in PSP and many other rare diseases.
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Affiliation(s)
| | | | | | | | | | | | - Joyce Rhoden
- AllStripes Research, San Francisco, California, USA
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Street D, Bevan-Jones WR, Malpetti M, Jones PS, Passamonti L, Ghosh BC, Rittman T, Coyle-Gilchrist IT, Allinson K, Dawson CE, Rowe JB. Structural correlates of survival in progressive supranuclear palsy. Parkinsonism Relat Disord 2023; 116:105866. [PMID: 37804622 PMCID: PMC7615224 DOI: 10.1016/j.parkreldis.2023.105866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 08/12/2023] [Accepted: 09/25/2023] [Indexed: 10/09/2023]
Abstract
INTRODUCTION Many studies of the Richardson's syndrome phenotype of progressive supranuclear palsy (PSP) have elucidated regions of progressive atrophy and neural correlates of clinical severity. However, the neural correlates of survival and how these differ according to variant phenotypes are poorly understood. We set out to identify structural changes that predict severity and survival from scanning date to death. METHODS Structural magnetic resonance imaging data from 112 deceased people with clinically defined 'probable' or 'possible' PSP were analysed. Neuroanatomical regions of interest volumes, thickness and area were correlated with 'temporal stage', defined as the ratio of time from symptom onset to death, time from scan to death ('survival from scan'), and in a subset of patients, clinical severity, adjusting for age and total intracranial volume. Forty-nine participants had post mortem confirmation of the diagnosis. RESULTS Using T1-weighted magnetic resonance imaging, we confirmed the midbrain, and bilateral cortical structural correlates of contemporary disease severity. Atrophy of the striatum, cerebellum and frontotemporal cortex correlate with temporal stage and survival from scan, even after adjusting for severity. Subcortical structure-survival relationships were stronger in Richardson's syndrome than variant phenotypes. CONCLUSIONS Although the duration of PSP varies widely between people, an individual's progress from disease onset to death (their temporal stage) reflects atrophy in striatal, cerebellar and frontotemporal cortical regions. Our findings suggest magnetic resonance imaging may contribute to prognostication and stratification of patients with heterogenous clinical trajectories and clarify the processes that confer mortality risk in PSP.
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Affiliation(s)
- Duncan Street
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK
| | | | - Maura Malpetti
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK
| | - P Simon Jones
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK
| | - Luca Passamonti
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK; Consiglio Nazionale Delle Ricerche (CNR), Istituto di Bioimmagini e Fisiologia Molecolare (IBFM), Milano, Italy
| | - Boyd Cp Ghosh
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK; Wessex Neurological Centre, University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - Timothy Rittman
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK
| | - Ian Ts Coyle-Gilchrist
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK; Norfolk and Norwich NHS Foundation Trust, Norwich, UK
| | - Kieren Allinson
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK; Department of Pathology, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Catherine E Dawson
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK
| | - James B Rowe
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, UK; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
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Ananthavarathan P, Patel B, Peeros S, Obrocki R, Malek N. Neurological update: non-motor symptoms in atypical parkinsonian syndromes. J Neurol 2023; 270:4558-4578. [PMID: 37316556 PMCID: PMC10421812 DOI: 10.1007/s00415-023-11807-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/31/2023] [Accepted: 06/04/2023] [Indexed: 06/16/2023]
Abstract
Among people with Parkinson's disease (PD), non-motor symptoms (NMS) are a well-recognised cause of significant morbidity and poor quality of life. Yet, it is only more recently that NMS have been recognised to affect the lives of patients with atypical parkinsonian syndromes in a similar fashion. The aim of this article is to highlight and compare the relative prevalence of NMS among patients with atypical parkinsonian syndromes in the published literature, which largely remain underreported and unaddressed in routine clinical practice. All NMS that are recognised to occur in PD are also found to commonly occur in atypical parkinsonian syndromes. In particular, excessive daytime sleepiness is more prevalent among atypical parkinsonian syndromes (94.3%) compared to PD (33.9%) or normal controls (10.5%) (p < 0.001). Urinary dysfunction (not limited to urinary incontinence) is not only found to occur in MSA (79.7%) and PD (79.9%), but has also been reported in nearly half of the patients with PSP (49.3%), DLB (42%) and CBD (53.8%) (p < 0.001). Apathy is significantly more common among the atypical parkinsonian syndromes [PSP (56%), MSA (48%), DLB (44%), CBD (43%)] compared to PD (35%) (p = 0.029). Early recognition and addressing of NMS among atypical parkinsonian syndromes may help improve the holistic patient care provided and may encompass a range of conservative and pharmacotherapeutic treatments to address these symptoms.
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Affiliation(s)
- Piriyankan Ananthavarathan
- Department of Neurology, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.
- Department of Neuroinflammation, Institute of Neurology, University College London, 1st Floor, Russell Square House, 10-12 Russell Square, London, WC1B 5EH, UK.
| | - B Patel
- Department of Neurology, Queen's Hospital, Romford, Essex, UK
| | - S Peeros
- Department of Neurology, Queen's Hospital, Romford, Essex, UK
| | - R Obrocki
- Department of Neurology, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Department of Neurology, Queen's Hospital, Romford, Essex, UK
| | - N Malek
- Department of Neurology, Queen's Hospital, Romford, Essex, UK
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Street D, Jabbari E, Costantini A, Jones PS, Holland N, Rittman T, Jensen MT, Chelban V, Goh YY, Guo T, Heslegrave AJ, Roncaroli F, Klein JC, Ansorge O, Allinson KSJ, Jaunmuktane Z, Revesz T, Warner TT, Lees AJ, Zetterberg H, Russell LL, Bocchetta M, Rohrer JD, Burn DJ, Pavese N, Gerhard A, Kobylecki C, Leigh PN, Church A, Hu MTM, Houlden H, Morris H, Rowe JB. Progression of atypical parkinsonian syndromes: PROSPECT-M-UK study implications for clinical trials. Brain 2023; 146:3232-3242. [PMID: 36975168 PMCID: PMC10393398 DOI: 10.1093/brain/awad105] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 02/11/2023] [Accepted: 02/21/2023] [Indexed: 03/29/2023] Open
Abstract
The advent of clinical trials of disease-modifying agents for neurodegenerative disease highlights the need for evidence-based end point selection. Here we report the longitudinal PROSPECT-M-UK study of progressive supranuclear palsy (PSP), corticobasal syndrome (CBS), multiple system atrophy (MSA) and related disorders, to compare candidate clinical trial end points. In this multicentre UK study, participants were assessed with serial questionnaires, motor examination, neuropsychiatric and MRI assessments at baseline, 6 and 12 months. Participants were classified by diagnosis at baseline and study end, into Richardson syndrome, PSP-subcortical (PSP-parkinsonism and progressive gait freezing subtypes), PSP-cortical (PSP-frontal, PSP-speech and language and PSP-CBS subtypes), MSA-parkinsonism, MSA-cerebellar, CBS with and without evidence of Alzheimer's disease pathology and indeterminate syndromes. We calculated annual rate of change, with linear mixed modelling and sample sizes for clinical trials of disease-modifying agents, according to group and assessment type. Two hundred forty-three people were recruited [117 PSP, 68 CBS, 42 MSA and 16 indeterminate; 138 (56.8%) male; age at recruitment 68.7 ± 8.61 years]. One hundred and fifty-nine completed the 6-month assessment (82 PSP, 27 CBS, 40 MSA and 10 indeterminate) and 153 completed the 12-month assessment (80 PSP, 29 CBS, 35 MSA and nine indeterminate). Questionnaire, motor examination, neuropsychiatric and neuroimaging measures declined in all groups, with differences in longitudinal change between groups. Neuroimaging metrics would enable lower sample sizes to achieve equivalent power for clinical trials than cognitive and functional measures, often achieving N < 100 required for 1-year two-arm trials (with 80% power to detect 50% slowing). However, optimal outcome measures were disease-specific. In conclusion, phenotypic variance within PSP, CBS and MSA is a major challenge to clinical trial design. Our findings provide an evidence base for selection of clinical trial end points, from potential functional, cognitive, clinical or neuroimaging measures of disease progression.
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Affiliation(s)
- Duncan Street
- University of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, CB2 OQQ, UK
| | - Edwin Jabbari
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Movement Disorders Centre, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Alyssa Costantini
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Movement Disorders Centre, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - P Simon Jones
- University of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, CB2 OQQ, UK
| | - Negin Holland
- University of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, CB2 OQQ, UK
| | - Timothy Rittman
- University of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, CB2 OQQ, UK
| | - Marte T Jensen
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Movement Disorders Centre, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Viorica Chelban
- Department of Neuromuscular Diseases, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Neurobiology and Medical Genetics Laboratory, ‘Nicolae Testemitanu’ State University of Medicine and Pharmacy, Chisinau 2004, Republic of Moldova
| | - Yen Y Goh
- Department of Neuromuscular Diseases, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Tong Guo
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Amanda J Heslegrave
- Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute, University College London, London, W1T 7NF, UK
| | - Federico Roncaroli
- Geoffrey Jefferson Brain Research Centre, Division of Neuroscience, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M6 8HD, UK
| | - Johannes C Klein
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Olaf Ansorge
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Kieren S J Allinson
- University of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, CB2 OQQ, UK
| | - Zane Jaunmuktane
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Queen Square Brain Bank for Neurological Disorders, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Reta Lila Weston Institute, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Tamas Revesz
- Queen Square Brain Bank for Neurological Disorders, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Reta Lila Weston Institute, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Thomas T Warner
- Queen Square Brain Bank for Neurological Disorders, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Reta Lila Weston Institute, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Andrew J Lees
- Queen Square Brain Bank for Neurological Disorders, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Reta Lila Weston Institute, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute, University College London, London, W1T 7NF, UK
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 30 Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Salhgrenska Academy at the University of Gothenburg, 413 45 Goteborg, Sweden
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Shatin, N.T., Hong Kong, China
| | - Lucy L Russell
- Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Martina Bocchetta
- Centre for Cognitive and Clinical Neuroscience, Division of Psychology, Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London, London, UB8 3PH, UK
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - David J Burn
- Faculty of Medical Sciences, Newcastle University, Newcastle, NE2 4HH, UK
| | - Nicola Pavese
- Clinical Ageing Research Unit, Newcastle University, Newcastle, NE4 5PL, UK
| | - Alexander Gerhard
- Division of Neuroscience, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, N20 3LJ, UK
- Departments of Geriatric Medicine and Nuclear Medicine, Center for Translational Neuro- and Behavioral Sciences, University Medicine Essen, 45356 Essen, Germany
| | - Christopher Kobylecki
- Division of Neuroscience, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, N20 3LJ, UK
- Department of Neurology, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, Salford, M13 9NQ, UK
| | - P Nigel Leigh
- Department of Neuroscience, Brighton and Sussex Medical School, Brighton, BN1 9PX, UK
| | - Alistair Church
- Department of Neurology, Royal Gwent Hospital, Newport, NP20 2UB, UK
| | - Michele T M Hu
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
- Department of Physiology, Anatomy and Genetics, Oxford Parkinson’s Disease Centre, University of Oxford, Oxford, OX1 3QU, UK
| | - Henry Houlden
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Movement Disorders Centre, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Department of Neuromuscular Diseases, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Huw Morris
- Department of Clinical and Movement Neurosciences, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Movement Disorders Centre, University College London, Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - James B Rowe
- University of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, CB2 OQQ, UK
- Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF, UK
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5
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Holland N, Jones PS, Savulich G, Naessens M, Malpetti M, Whiteside DJ, Street D, Swann P, Hong YT, Fryer TD, Rittman T, Mulroy E, Aigbirhio FI, Bhatia KP, O'Brien JT, Rowe JB. Longitudinal Synaptic Loss in Primary Tauopathies: An In Vivo [ 11 C]UCB-J Positron Emission Tomography Study. Mov Disord 2023; 38:1316-1326. [PMID: 37171832 PMCID: PMC10947001 DOI: 10.1002/mds.29421] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 03/22/2023] [Accepted: 04/10/2023] [Indexed: 05/13/2023] Open
Abstract
BACKGROUND Synaptic loss is characteristic of many neurodegenerative diseases; it occurs early and is strongly related to functional deficits. OBJECTIVE In this longitudinal observational study, we determine the rate at which synaptic density is reduced in the primary tauopathies of progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD), and we test the relationship with disease progression. METHODS Our cross-sectional cohort included 32 participants with probable PSP and 16 with probable CBD (all amyloid-negative corticobasal syndrome), recruited from tertiary care centers in the United Kingdom, and 33 sex- and age-matched healthy control subjects. Synaptic density was estimated by positron emission tomography imaging with the radioligand [11 C]UCB-J that binds synaptic vesicle 2A. Clinical severity and cognition were assessed by the PSP Rating Scale and the Addenbrooke's cognitive examination. Regional [11 C]UCB-J nondisplaceable binding potential was estimated in Hammersmith Atlas regions of interest. Twenty-two participants with PSP/CBD had a follow-up [11 C]UCB-J positron emission tomography scan after 1 year. We calculated the annualized change in [11 C]UCB-J nondisplaceable binding potential and correlated this with the change in clinical severity. RESULTS We found significant annual synaptic loss within the frontal lobe (-3.5%, P = 0.03) and the right caudate (-3.9%, P = 0.046). The degree of longitudinal synaptic loss within the frontal lobe correlated with the rate of change in the PSP Rating Scale (R = 0.47, P = 0.03) and cognition (Addenbrooke's Cognitive Examination-Revised, R = -0.62, P = 0.003). CONCLUSIONS We provide in vivo evidence for rapid progressive synaptic loss, correlating with clinical progression in primary tauopathies. Synaptic loss may be an important therapeutic target and outcome variable for early-phase clinical trials of disease-modifying treatments. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Negin Holland
- Department of Clinical NeurosciencesUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUnited Kingdom
- Cambridge University Hospitals NHS Foundation TrustCambridgeUnited Kingdom
| | - P. Simon Jones
- Department of Clinical NeurosciencesUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUnited Kingdom
| | - George Savulich
- Department of PsychiatryUniversity of Cambridge, School of Clinical Medicine, Cambridge Biomedical CampusCambridgeUnited Kingdom
| | - Michelle Naessens
- Department of Clinical NeurosciencesUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUnited Kingdom
| | - Maura Malpetti
- Department of Clinical NeurosciencesUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUnited Kingdom
| | - David J. Whiteside
- Department of Clinical NeurosciencesUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUnited Kingdom
| | - Duncan Street
- Department of Clinical NeurosciencesUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUnited Kingdom
| | - Peter Swann
- Cambridge University Hospitals NHS Foundation TrustCambridgeUnited Kingdom
- Department of PsychiatryUniversity of Cambridge, School of Clinical Medicine, Cambridge Biomedical CampusCambridgeUnited Kingdom
| | - Young T. Hong
- Department of Clinical NeurosciencesUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUnited Kingdom
- Wolfson Brain Imaging CentreUniversity of CambridgeCambridgeUnited Kingdom
| | - Tim D. Fryer
- Department of Clinical NeurosciencesUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUnited Kingdom
- Wolfson Brain Imaging CentreUniversity of CambridgeCambridgeUnited Kingdom
| | - Timothy Rittman
- Department of Clinical NeurosciencesUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUnited Kingdom
| | - Eoin Mulroy
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Franklin I. Aigbirhio
- Department of Clinical NeurosciencesUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUnited Kingdom
| | - Kailash P. Bhatia
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - John T. O'Brien
- Cambridge University Hospitals NHS Foundation TrustCambridgeUnited Kingdom
- Department of PsychiatryUniversity of Cambridge, School of Clinical Medicine, Cambridge Biomedical CampusCambridgeUnited Kingdom
| | - James B. Rowe
- Department of Clinical NeurosciencesUniversity of Cambridge, Cambridge Biomedical CampusCambridgeUnited Kingdom
- Cambridge University Hospitals NHS Foundation TrustCambridgeUnited Kingdom
- Medical Research Council Cognition and Brain Sciences UnitUniversity of CambridgeCambridgeUnited Kingdom
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Driver-Dunckley ED, Zhang N, Serrano GE, Dunckley NA, Sue LI, Shill HA, Mehta SH, Belden C, Tremblay C, Atri A, Adler CH, Beach TG. Low clinical sensitivity and unexpectedly high incidence for neuropathologically diagnosed progressive supranuclear palsy. J Neuropathol Exp Neurol 2023; 82:438-451. [PMID: 37040756 PMCID: PMC10117158 DOI: 10.1093/jnen/nlad025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2023] Open
Abstract
The objective of this study was to determine the prevalence, incidence, and clinical diagnostic accuracy for neuropathologically diagnosed progressive supranuclear palsy (PSP) with data from a longitudinal clinicopathological study using Rainwater criteria to define neuropathological PSP. Of 954 autopsy cases, 101 met Rainwater criteria for the neuropathologic diagnosis of PSP. Of these, 87 were termed clinicopathological PSP as they also had either dementia or parkinsonism or both. The prevalence of clinicopathologically defined PSP subjects in the entire autopsy dataset was 9.1%, while the incidence rate was estimated at 780 per 100 000 persons per year, roughly 50-fold greater than most previous clinically determined PSP incidence estimates. A clinical diagnosis of PSP was 99.6% specific but only 9.2% sensitive based on first examination, and 99.3% specific and 20.7% sensitive based on the final clinical exam. Of the clinicopathologically defined PSP cases, 35/87 (∼40%) had no form of parkinsonism at first assessment, while this decreased to 18/83 (21.7%) at final assessment. Our study confirms a high specificity but low sensitivity for the clinical diagnosis of PSP. The low clinical sensitivity for PSP is likely primarily responsible for previous underestimates of the PSP population incidence rate.
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Affiliation(s)
- Erika D Driver-Dunckley
- Department of Neurology, Parkinson’s Disease and Movement Disorders Center, Mayo Clinic, Scottsdale, Arizona, USA
| | - Nan Zhang
- Department of Quantitative Health Sciences, Section of Biostatistics, Mayo Clinic, Scottsdale, Arizona, USA
| | - Geidy E Serrano
- Banner Sun Health Research Institute, Banner Health, Sun City, Arizona, USA
| | | | - Lucia I Sue
- Banner Sun Health Research Institute, Banner Health, Sun City, Arizona, USA
| | - Holly A Shill
- Department of Neurology, Barrow Neurological Institute, Phoenix, Arizona, USA
| | - Shyamal H Mehta
- Department of Neurology, Parkinson’s Disease and Movement Disorders Center, Mayo Clinic, Scottsdale, Arizona, USA
| | - Christine Belden
- Banner Sun Health Research Institute, Banner Health, Sun City, Arizona, USA
| | - Cecilia Tremblay
- Banner Sun Health Research Institute, Banner Health, Sun City, Arizona, USA
| | - Alireza Atri
- Banner Sun Health Research Institute, Banner Health, Sun City, Arizona, USA
- Department of Neurology, Center for Mind/Brain Medicine, Brigham & Women’s Hospital & Harvard Medical School, Boston, Massachusetts, USA
| | - Charles H Adler
- Department of Neurology, Parkinson’s Disease and Movement Disorders Center, Mayo Clinic, Scottsdale, Arizona, USA
| | - Thomas G Beach
- Banner Sun Health Research Institute, Banner Health, Sun City, Arizona, USA
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Swaddiwudhipong N, Whiteside DJ, Hezemans FH, Street D, Rowe JB, Rittman T. Pre-diagnostic cognitive and functional impairment in multiple sporadic neurodegenerative diseases. Alzheimers Dement 2022; 19:1752-1763. [PMID: 36223793 DOI: 10.1002/alz.12802] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
INTRODUCTION The pathophysiological processes of neurodegenerative diseases begin years before diagnosis. However, pre-diagnostic changes in cognition and physical function are poorly understood, especially in sporadic neurodegenerative disease. METHODS UK Biobank data were extracted. Cognitive and functional measures in individuals who subsequently developed Alzheimer's disease (AD), Parkinson disease, frontotemporal dementia, progressive supranuclear palsy, dementia with Lewy bodies, or multiple system atrophy were compared against individuals without neurodegenerative diagnoses. The same measures were regressed against time to diagnosis, after adjusting for the effects of age. RESULTS There was evidence for pre-diagnostic cognitive impairment and decline with time, particularly in AD. Pre-diagnostic functional impairment and decline were observed in multiple diseases. DISCUSSION The scale and longitudinal follow-up of UK Biobank participants provides evidence for cognitive and functional decline years before symptoms become obvious in multiple neurodegenerative diseases. Identifying pre-diagnostic functional and cognitive changes could improve selection for preventive and early disease-modifying treatment trials.
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Affiliation(s)
- Nol Swaddiwudhipong
- Department of Clinical Neurosciences, Cambridge, UK.,Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - David J Whiteside
- Department of Clinical Neurosciences, Cambridge, UK.,Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Frank H Hezemans
- Department of Clinical Neurosciences, Cambridge, UK.,MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | | | - James B Rowe
- Department of Clinical Neurosciences, Cambridge, UK.,Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK.,MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Timothy Rittman
- Department of Clinical Neurosciences, Cambridge, UK.,Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
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