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Stankovic I, Kuijpers M, Kaufmann H. An update on multiple system atrophy. Curr Opin Neurol 2024; 37:400-408. [PMID: 38828714 PMCID: PMC11219253 DOI: 10.1097/wco.0000000000001285] [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: 06/05/2024]
Abstract
PURPOSE OF REVIEW Multiple system atrophy (MSA) is a rapidly progressive synucleinopathy characterized by autonomic failure, parkinsonism, and cerebellar ataxia. Here, we provide an update on α-synuclein's role in MSA pathophysiology and review the new Movement Disorders Society (MDS) diagnostic criteria and the utility of α-synuclein-based biomarkers. We also highlight ongoing efforts toward clinical trial readiness and review potential disease-modifying therapies undergoing clinical trials. RECENT FINDINGS A role of urinary tract infections in triggering α-synuclein aggregation and contribution of genes implicated in oligodendroglial development have been suggested in the MSA pathophysiology. The clinically probable MSA category of the new diagnostic criteria shows improved accuracy in early disease stages. Predictors of phenoconversion from pure autonomic failure to MSA are now better defined. Alpha-synuclein strains in CSF and serum, phosphorylated α-synuclein deposits in the skin, and brain α-synuclein pathology visualized using PET ligand [18F]ACI-12589 are emerging as valuable diagnostic tools. Clinical trials in MSA investigate drugs targeting α-synuclein aggregation or preventing α-synuclein expression, along with stem cell and gene therapies to halt disease progression. SUMMARY New MSA diagnostic criteria and α-synuclein-based biomarkers may enhance diagnostic accuracy while promising therapies are in development to address disease progression.
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Affiliation(s)
- Iva Stankovic
- Neurology Clinic, University Clinical Center of Serbia, School of Medicine, University of Belgrade, Serbia
| | - Mechteld Kuijpers
- Dysautonomia Center, Langone Medical Center, New York University School of Medicine, New York, NY, USA
| | - Horacio Kaufmann
- Dysautonomia Center, Langone Medical Center, New York University School of Medicine, New York, NY, USA
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Hastings A, Cullinane P, Wrigley S, Revesz T, Morris HR, Dickson JC, Jaunmuktane Z, Warner TT, De Pablo-Fernández E. Neuropathologic Validation and Diagnostic Accuracy of Presynaptic Dopaminergic Imaging in the Diagnosis of Parkinsonism. Neurology 2024; 102:e209453. [PMID: 38759132 DOI: 10.1212/wnl.0000000000209453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Degeneration of the presynaptic nigrostriatal dopaminergic system is one of the main biological features of Parkinson disease (PD), multiple system atrophy (MSA), progressive supranuclear palsy (PSP), and corticobasal degeneration (CBD), which can be measured using single-photon emission CT imaging for diagnostic purposes. Despite its widespread use in clinical practice and research, the diagnostic properties of presynaptic nigrostriatal dopaminergic (DAT) imaging in parkinsonism have never been evaluated against the diagnostic gold standard of neuropathology. The aim of this study was to evaluate the diagnostic parameters of DAT imaging compared with pathologic diagnosis in patients with parkinsonism. METHODS Retrospective cohort study of patients with DAT imaging for the investigation of a clinically uncertain parkinsonism with brain donation between 2010 and 2021 to the Queen Square Brain Bank (London). Patients with DAT imaging for investigation of pure ataxia or dementia syndromes without parkinsonism were excluded. Those with a pathologic diagnosis of PD, MSA, PSP, or CBD were considered presynaptic dopaminergic parkinsonism, and other pathologies were considered postsynaptic for the analysis. DAT imaging was performed in routine clinical practice and visually classified by hospital nuclear medicine specialists as normal or abnormal. The results were correlated with neuropathologic diagnosis to calculate diagnostic accuracy parameters for the diagnosis of presynaptic dopaminergic parkinsonism. RESULTS All of 47 patients with PD, 41 of 42 with MSA, 68 of 73 with PSP, and 6 of 10 with CBD (sensitivity 100%, 97.6%, 93.2%, and 60%, respectively) had abnormal presynaptic dopaminergic imaging. Eight of 17 patients with presumed postsynaptic parkinsonism had abnormal scans (specificity 52.9%). DISCUSSION DAT imaging has very high sensitivity and negative predictive value for the diagnosis of presynaptic dopaminergic parkinsonism, particularly for PD. However, patients with CBD, and to a lesser extent PSP (of various phenotypes) and MSA (with predominant ataxia), can show normal DAT imaging. A range of other neurodegenerative disorders may have abnormal DAT scans with low specificity in the differential diagnosis of parkinsonism. DAT imaging is a useful diagnostic tool in the differential diagnosis of parkinsonism, although clinicians should be aware of its diagnostic properties and limitations. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that DAT imaging does not accurately distinguish between presynaptic dopaminergic parkinsonism and non-presynaptic dopaminergic parkinsonism.
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Affiliation(s)
- Alexandra Hastings
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Patrick Cullinane
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Sarah Wrigley
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Tamas Revesz
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Huw R Morris
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - John C Dickson
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Zane Jaunmuktane
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Thomas T Warner
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
| | - Eduardo De Pablo-Fernández
- From the Queen Square Brain Bank for Neurological Disorders (A.H., P.C., S.W., T.R., Z.J., T.T.W., E.D.P.-F.) and Department of Clinical and Movement Neurosciences (H.R.M.), University College London Queen Square Institute of Neurology; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals NHS Trust, UK
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Imarisio A, Pilotto A, Lupini A, Biasiotto G, Zanella I, Currò R, Vegezzi E, Cortese A, Palmieri I, Valente EM, Padovani A. Heterozygous APTX mutation associated with atypical multiple system atrophy-like phenotype: A case report. Parkinsonism Relat Disord 2024; 123:106943. [PMID: 38555792 DOI: 10.1016/j.parkreldis.2024.106943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 03/19/2024] [Accepted: 03/19/2024] [Indexed: 04/02/2024]
Abstract
We describe here a 73-year-old patient presenting with atypical MSA-P-like phenotype carrying a monoallelic p. W279X mutation in the APTX gene, which causes ataxia with oculomotor apraxia type 1 (AOA1) when in homozygous state. We hypothesize that rare monoallelic APTX variants could modulate MSA risk and phenotype.
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Affiliation(s)
- Alberto Imarisio
- Department of Molecular Medicine, University of Pavia, Pavia, Italy; IRCCS Mondino Foundation, Pavia, Italy.
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia University Hospital, Italy; Laboratory of Digital Neurology and Biosensors, University of Brescia, Italy
| | - Alessandro Lupini
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia University Hospital, Italy
| | - Giorgio Biasiotto
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy; Highly Specialized Laboratory, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Isabella Zanella
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy; Cytogenetics and Molecular Genetics Laboratory, Diagnostic Department, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Riccardo Currò
- Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology, London, UK; Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Elisa Vegezzi
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy; IRCCS Mondino Foundation, Pavia, Italy
| | - Andrea Cortese
- Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology, London, UK; Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Ilaria Palmieri
- Department of Molecular Medicine, University of Pavia, Pavia, Italy; IRCCS Mondino Foundation, Pavia, Italy
| | - Enza Maria Valente
- Department of Molecular Medicine, University of Pavia, Pavia, Italy; IRCCS Mondino Foundation, Pavia, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Neurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia University Hospital, Italy; Laboratory of Digital Neurology and Biosensors, University of Brescia, Italy
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Liu M, Wang Z, Shang H. Multiple system atrophy: an update and emerging directions of biomarkers and clinical trials. J Neurol 2024; 271:2324-2344. [PMID: 38483626 PMCID: PMC11055738 DOI: 10.1007/s00415-024-12269-5] [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] [Received: 01/26/2024] [Revised: 02/17/2024] [Accepted: 02/19/2024] [Indexed: 04/28/2024]
Abstract
Multiple system atrophy is a rare, debilitating, adult-onset neurodegenerative disorder that manifests clinically as a diverse combination of parkinsonism, cerebellar ataxia, and autonomic dysfunction. It is pathologically characterized by oligodendroglial cytoplasmic inclusions containing abnormally aggregated α-synuclein. According to the updated Movement Disorder Society diagnostic criteria for multiple system atrophy, the diagnosis of clinically established multiple system atrophy requires the manifestation of autonomic dysfunction in combination with poorly levo-dopa responsive parkinsonism and/or cerebellar syndrome. Although symptomatic management of multiple system atrophy can substantially improve quality of life, therapeutic benefits are often limited, ephemeral, and they fail to modify the disease progression and eradicate underlying causes. Consequently, effective breakthrough treatments that target the causes of disease are needed. Numerous preclinical and clinical studies are currently focusing on a set of hallmarks of neurodegenerative diseases to slow or halt the progression of multiple system atrophy: pathological protein aggregation, synaptic dysfunction, aberrant proteostasis, neuronal inflammation, and neuronal cell death. Meanwhile, specific biomarkers and measurements with higher specificity and sensitivity are being developed for the diagnosis of multiple system atrophy, particularly for early detection of the disease. More intriguingly, a growing number of new disease-modifying candidates, which can be used to design multi-targeted, personalized treatment in patients, are being investigated, notwithstanding the failure of most previous attempts.
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Affiliation(s)
- Min Liu
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Disease Center, West China Hospital, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China
| | - Zhiyao Wang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Disease Center, West China Hospital, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Disease Center, West China Hospital, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China.
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Fanciulli A, Stankovic I, Avraham O, Jecmenica Lukic M, Ezra A, Leys F, Goebel G, Krismer F, Petrovic I, Svetel M, Seppi K, Kostic V, Giladi N, Poewe W, Wenning GK, Gurevich T. Early Screening for the Parkinson Variant of Multiple System Atrophy: A 6-Item Score. Mov Disord Clin Pract 2024. [PMID: 38659282 DOI: 10.1002/mdc3.14048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/22/2024] [Accepted: 04/03/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND A 4-item score based on ≥2 features out of orthostatic hypotension, overactive bladder, urinary retention and postural instability was previously shown to early distinguish the Parkinson-variant of multiple system atrophy (MSA-P) from Parkinson's disease (PD) with 78% sensitivity and 86% specificity. OBJECTIVES To replicate and improve the 4-item MSA-P score. METHODS We retrospectively studied 161 patients with early parkinsonism [ie, ≤2 years disease duration or no postural instability, aged 64 (57; 68) years, 44% females] and a diagnosis of clinically established MSA-P (n = 38) or PD (n = 123) after ≥24 months follow-up. RESULTS The 4-item MSA-P score had a 92% sensitivity and 78% specificity for a final MSA-P diagnosis. By including dopaminergic responsiveness and postural deformities into a 6-item score (range: 0-6), reaching ≥3 points at early disease identified MSA-P patients with 89% sensitivity and 98% specificity. CONCLUSIONS The 6-item MSA-P score is a cost-effective tool to pinpoint individuals with early-stage MSA-P.
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Affiliation(s)
| | - Iva Stankovic
- Neurology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Omer Avraham
- Movement Disorders Unit, Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel
- School of Medicine, Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
| | - Milica Jecmenica Lukic
- Neurology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Adi Ezra
- Movement Disorders Unit, Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel
| | - Fabian Leys
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Georg Goebel
- Institute of Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria
| | - Florian Krismer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Igor Petrovic
- Neurology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Marina Svetel
- Neurology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Department of Neurology, Provincial Hospital of Kufstein, Kufstein, Austria
| | - Vladimir Kostic
- Neurology Clinic, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Nir Giladi
- Movement Disorders Unit, Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel
- School of Medicine, Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
- Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
| | - Werner Poewe
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Gregor K Wenning
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Tanya Gurevich
- Movement Disorders Unit, Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel
- School of Medicine, Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
- Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
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Bendetowicz D, Fabbri M, Sirna F, Fernagut PO, Foubert-Samier A, Saulnier T, Le Traon AP, Proust-Lima C, Rascol O, Meissner WG. Recent Advances in Clinical Trials in Multiple System Atrophy. Curr Neurol Neurosci Rep 2024; 24:95-112. [PMID: 38416311 DOI: 10.1007/s11910-024-01335-0] [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] [Accepted: 02/13/2024] [Indexed: 02/29/2024]
Abstract
PURPOSE OF REVIEW This review summarizes previous and ongoing neuroprotection trials in multiple system atrophy (MSA), a rare and fatal neurodegenerative disease characterized by parkinsonism, cerebellar, and autonomic dysfunction. It also describes the preclinical therapeutic pipeline and provides some considerations relevant to successfully conducting clinical trials in MSA, i.e., diagnosis, endpoints, and trial design. RECENT FINDINGS Over 30 compounds have been tested in clinical trials in MSA. While this illustrates a strong treatment pipeline, only two have reached their primary endpoint. Ongoing clinical trials primarily focus on targeting α-synuclein, the neuropathological hallmark of MSA being α-synuclein-bearing glial cytoplasmic inclusions. The mostly negative trial outcomes highlight the importance of better understanding underlying disease mechanisms and improving preclinical models. Together with efforts to refine clinical measurement tools, innovative statistical methods, and developments in biomarker research, this will enhance the design of future neuroprotection trials in MSA and the likelihood of positive outcomes.
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Affiliation(s)
- David Bendetowicz
- Univ. Bordeaux, CNRS, IMN, UMR5293, Bordeaux, France.
- CHU Bordeaux, Service de Neurologie des Maladies Neurodégénératives, IMNc, CRMR AMS, NS-Park/FCRIN Network, Bordeaux, France.
| | - Margherita Fabbri
- MSA French Reference Center, Univ. Hospital Toulouse, Toulouse, France
- Univ. Toulouse, CIC-1436, Departments of Clinical Pharmacology and Neurosciences, NeuroToul COEN Center, NS-Park/FCRIN Network, Toulouse University Hospital, Inserm, U1048/1214, Toulouse, France
| | - Federico Sirna
- Univ. Bordeaux, INSERM, BPH, U1219, IPSED, Bordeaux, France
| | - Pierre-Olivier Fernagut
- Université de Poitiers, Laboratoire de Neurosciences Expérimentales et Cliniques, INSERM UMR-S 1084, Poitiers, France
| | - Alexandra Foubert-Samier
- Univ. Bordeaux, CNRS, IMN, UMR5293, Bordeaux, France
- CHU Bordeaux, Service de Neurologie des Maladies Neurodégénératives, IMNc, CRMR AMS, NS-Park/FCRIN Network, Bordeaux, France
- Univ. Bordeaux, INSERM, BPH, U1219, IPSED, Bordeaux, France
| | | | - Anne Pavy Le Traon
- MSA French Reference Center, Univ. Hospital Toulouse, Toulouse, France
- Univ. Toulouse, CIC-1436, Departments of Clinical Pharmacology and Neurosciences, NeuroToul COEN Center, NS-Park/FCRIN Network, Toulouse University Hospital, Inserm, U1048/1214, Toulouse, France
| | | | - Olivier Rascol
- MSA French Reference Center, Univ. Hospital Toulouse, Toulouse, France
- Univ. Toulouse, CIC-1436, Departments of Clinical Pharmacology and Neurosciences, NeuroToul COEN Center, NS-Park/FCRIN Network, Toulouse University Hospital, Inserm, U1048/1214, Toulouse, France
| | - Wassilios G Meissner
- Univ. Bordeaux, CNRS, IMN, UMR5293, Bordeaux, France
- CHU Bordeaux, Service de Neurologie des Maladies Neurodégénératives, IMNc, CRMR AMS, NS-Park/FCRIN Network, Bordeaux, France
- Department of Medicine, University of Otago, Christchurch, and New Zealand Brain Research Institute, Christchurch, New Zealand
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Sipilä JO, Kaasinen V, Rautava P, Kytö V. Case-Fatality Rate in Parkinson's Disease: A Nationwide Registry Study. Mov Disord Clin Pract 2024; 11:152-158. [PMID: 38386489 PMCID: PMC10883402 DOI: 10.1002/mdc3.13948] [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] [Received: 07/30/2023] [Revised: 11/05/2023] [Accepted: 11/15/2023] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Patients with Parkinson's disease (PD) may have an increased risk of mortality, but robust estimates are lacking. OBJECTIVE To compare mortality rates nationally between patients with PD and controls. METHODS The case-fatality rates of Finnish PD patients diagnosed in 2004-2018 (n = 23,688; 57% male, mean age at diagnosis = 71 years) and randomly selected sex- and age-matched control subjects (n = 94,752) were compared using data from national registries. The median follow-up duration was 5.8 years (max 17 years). RESULTS The case-fatality rate in patients with PD was higher than that in matched controls (HR 2.29; 95% CI 2.24-2.33; P < 0.0001). Excess fatality among PD patients was already present at 1 year from diagnosis and then plateaued at 29% at 12 years after diagnosis. The long-term relative hazard of death in PD patients vs. matched controls did not differ based on sex. Patients with early-onset PD (age at diagnosis <50 years old) had the highest relative hazard of death (HR 3.36) compared to matched control subjects, and the relative hazard decreased with higher age at diagnosis. The seven-year excess risk of death decreased during the study period, especially in men. In patients with PD, male sex, increasing age, and increasing comorbidity burden were associated with an increased risk of death. CONCLUSIONS An increased risk of death among PD patients was evident from early on. The increase in risk was greatest among young-onset patients. The excess risk in early PD declined during the study period, particularly in men. The reasons for this are unknown.
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Affiliation(s)
- Jussi O.T. Sipilä
- Department of NeurologySiun Sote North Karelia Central HospitalJoensuuFinland
- Clinical NeurosciencesUniversity of TurkuTurkuFinland
| | - Valtteri Kaasinen
- Clinical NeurosciencesUniversity of TurkuTurkuFinland
- NeurocenterTurku University HospitalTurkuFinland
| | - Päivi Rautava
- Department of Public HealthUniversity of TurkuTurkuFinland
- Turku Clinical Research CenterTurku University HospitalTurkuFinland
| | - Ville Kytö
- Turku Clinical Research CenterTurku University HospitalTurkuFinland
- Heart CenterTurku University Hospital and University of TurkuTurkuFinland
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Sekiya H, Koga S, Murakami A, Kawazoe M, Kim M, Martin NB, Uitti RJ, Cheshire WP, Wszolek ZK, Dickson DW. Validation Study of the MDS Criteria for the Diagnosis of Multiple System Atrophy in the Mayo Clinic Brain Bank. Neurology 2023; 101:e2460-e2471. [PMID: 37816641 PMCID: PMC10791062 DOI: 10.1212/wnl.0000000000207905] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 08/15/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND AND OBJECTIVE The second consensus criteria in 2008 have been used in diagnosing multiple system atrophy (MSA). The International Parkinson and Movement Disorder Society (MDS) proposed new diagnostic criteria for MSA in 2022. This study aimed to compare the diagnostic accuracy between these 2 criteria and validate the clinical utility of the newly proposed criteria for MSA. METHODS We conducted a retrospective autopsy cohort study of consecutive patients with a clinical or pathologic diagnosis of MSA from the Mayo Clinic brain bank between 1998 and 2021. We studied 352 patients (250 pathologically diagnosed MSA and 102 non-MSA); MDS criteria and the second consensus criteria were applied. The sensitivity, specificity, and area under the curve (AUC) of receiver operating characteristic curves were compared between these criteria. Comparison was conducted between clinical subtypes and among clinically challenging cases (those with different clinical diagnoses or those with suspected but undiagnosed MSA before death). We also used machine learning algorithm, eXtreme Gradient Boosting, to identify clinical features contributing diagnostic performance. RESULTS The sensitivity and specificity of clinically established and probable MSA by the MDS criteria were 16% and 99% and 64% and 74%, respectively. The sensitivity and specificity of probable MSA and possible MSA by the second consensus criteria were 72% and 52% and 93% and 21%, respectively. The AUC of MDS clinically probable MSA was the highest (0.69). The diagnostic performance did not differ between clinical subtypes. In clinically challenging cases, MDS clinically established MSA maintained high specificity and MDS clinically probable MSA demonstrated the highest AUC (0.62). MRI findings contributed to high specificity. In addition, combining core clinical features with 2 or more from any of the 13 supporting features and the absence of exclusion criteria also yielded high specificity. Among supporting features, rapid progression was most important for predicting MSA pathology. DISCUSSION The MDS criteria showed high specificity with clinically established MSA and moderate sensitivity and specificity with clinically probable MSA. The observation that high specificity could be achieved with clinical features alone suggests that MSA diagnosis with high specificity is possible even in areas where MRI is not readily available.
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Affiliation(s)
- Hiroaki Sekiya
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Shunsuke Koga
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Aya Murakami
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Miki Kawazoe
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Minji Kim
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Nicholas B Martin
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Ryan J Uitti
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - William P Cheshire
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Zbigniew K Wszolek
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Dennis W Dickson
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
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Andersen AM, Kaalund SS, Marner L, Salvesen L, Pakkenberg B, Olesen MV. Quantitative cellular changes in multiple system atrophy brains. Neuropathol Appl Neurobiol 2023; 49:e12941. [PMID: 37812040 DOI: 10.1111/nan.12941] [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] [Received: 03/31/2023] [Revised: 09/21/2023] [Accepted: 10/02/2023] [Indexed: 10/10/2023]
Abstract
Multiple system atrophy (MSA) is a neurodegenerative disorder characterised by a combined symptomatology of parkinsonism, cerebellar ataxia, autonomic failure and corticospinal dysfunction. In brains of MSA patients, the hallmark lesion is the aggregation of misfolded alpha-synuclein in oligodendrocytes. Even though the underlying pathological mechanisms remain poorly understood, the evidence suggests that alpha-synuclein aggregation in oligodendrocytes may contribute to the neurodegeneration seen in MSA. The primary aim of this review is to summarise the published stereological data on the total number of neurons and glial cell subtypes (oligodendrocytes, astrocytes and microglia) and volumes in brains from MSA patients. Thus, we include in this review exclusively the reports of unbiased quantitative data from brain regions including the neocortex, nuclei of the cerebrum, the brainstem and the cerebellum. Furthermore, we compare and discuss the stereological results in the context of imaging findings and MSA symptomatology. In general, the stereological results agree with the common neuropathological findings of neurodegeneration and gliosis in brains from MSA patients and support a major loss of nigrostriatal neurons in MSA patients with predominant parkinsonism (MSA-P), as well as olivopontocerebellar atrophy in MSA patients with predominant cerebellar ataxia (MSA-C). Surprisingly, the reports indicate only a minor loss of oligodendrocytes in sub-cortical regions of the cerebrum (glial cells not studied in the cerebellum) and negligible changes in brain volumes. In the past decades, the use of stereological methods has provided a vast amount of accurate information on cell numbers and volumes in the brains of MSA patients. Combining different techniques such as stereology and diagnostic imaging (e.g. MRI, PET and SPECT) with clinical data allows for a more detailed interdisciplinary understanding of the disease and illuminates the relationship between neuropathological changes and MSA symptomatology.
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Affiliation(s)
- Alberte M Andersen
- Centre for Neuroscience and Stereology, Department of Neurology, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark
| | - Sanne S Kaalund
- Centre for Neuroscience and Stereology, Department of Neurology, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark
| | - Lisbeth Marner
- Department of Clinical Physiology and Nuclear Medicine, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lisette Salvesen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Neurology, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark
| | - Bente Pakkenberg
- Centre for Neuroscience and Stereology, Department of Neurology, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mikkel V Olesen
- Centre for Neuroscience and Stereology, Department of Neurology, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark
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Vignatelli L, Calandra-Buonaura G, Stankovic I, Kaufmann H, Cortelli P, Wenning GK. The Framework for Diagnostic Criteria in Movement Disorders: The Value of Methodological Tools and Combined Criteria. Mov Disord 2023; 38:1762-1763. [PMID: 37718267 DOI: 10.1002/mds.29587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 06/28/2023] [Indexed: 09/19/2023] Open
Affiliation(s)
- Luca Vignatelli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Giovanna Calandra-Buonaura
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Iva Stankovic
- Neurology Clinic, University Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Horacio Kaufmann
- Department of Neurology, Dysautonomia Center, Langone Medical Center, New York University School of Medicine, New York, New York, USA
| | - Pietro Cortelli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Gregor K Wenning
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
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11
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Zhang L, Hou Y, Wei Q, Ou R, Liu K, Lin J, Yang T, Xiao Y, Zhao B, Shang H. Diagnostic utility of movement disorder society criteria for multiple system atrophy. Front Aging Neurosci 2023; 15:1200563. [PMID: 37396656 PMCID: PMC10310919 DOI: 10.3389/fnagi.2023.1200563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/26/2023] [Indexed: 07/04/2023] Open
Abstract
Background The 2008 criteria for the diagnosis of multiple system atrophy (MSA) has been widely used for more than 10 years, but the sensitivity is low, particularly for patients in the early stage. Recently, a new MSA diagnostic criteria was developed. Objective The objective of the study was to assess and compare the diagnostic utility of the new movement disorder society (MDS) MSA criteria with the 2008 MSA criteria. Methods This study included patients diagnosed with MSA between January 2016 and October 2021. All patients underwent regular face-to-face or telephonic follow-ups every year until October 2022. A total of 587 patients (309 males and 278 females) were retrospectively reviewed to compare the diagnostic accuracy of the MDS MSA criteria to that of the 2008 MSA criteria (determined by the proportion of patients categorized as established or probable MSA). Autopsy is the gold standard diagnosis of MSA, which is not available in clinical practice. Thus, we applied the 2008 MSA criteria at the last review as the reference standard. Results The sensitivity of the MDS MSA criteria (93.2%, 95% CI = 90.5-95.2%) was significantly higher than that of the 2008 MSA criteria (83.5%, 95% CI = 79.8-86.6%) (P < 0.001). Additionally, the sensitivity of the MDS MSA criteria was maintained robustly across different subgroups, defined by diagnostic subtype, disease duration, and the type of symptom[s] at onset. Importantly, the specificities were not significantly different between the MDS MSA criteria and the 2008 MSA criteria (P > 0.05). Conclusion The present study demonstrated that the MDS MSA criteria exhibited good diagnostic utility for MSA. The new MDS MSA criteria should be considered as a useful diagnostic tool for clinical practice and future therapeutic trials.
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