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Desmaison A, Truffert A, Pereira B, Camdessanché JP, Moisset X, Guy N. Upper motor neuron assessment in amyotrophic lateral sclerosis using the patellar tendon reflex and motor-evoked potentials to the lower limbs. Rev Neurol (Paris) 2024; 180:632-641. [PMID: 38553272 DOI: 10.1016/j.neurol.2024.01.006] [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: 09/18/2023] [Revised: 01/15/2024] [Accepted: 01/29/2024] [Indexed: 08/25/2024]
Abstract
Amyotrophic lateral sclerosis (ALS) diagnosis relies on signs of progressive damage to both lower motoneuron (LMN), given by clinical examination and electromyography (EMG), and upper motoneuron (UMN), given by clinical examination only. Recognition of UMN involvement, however, is still difficult, so that diagnostic delay often remains too long. Shortening the time to clinical and genetic diagnosis is essential in order to provide accurate information to patients and families, avoid time-consuming investigations and for appropriate care management. This study investigates whether combined patellar tendon reflex recording with motor-evoked potentials to the lower limbs (T-MEP-LL) is relevant to assess corticospinal function in ALS, so that it might serve as a tool improving diagnosis. T-MEP-LL were recorded in 135 patients with suspected motor neuron disease (MND) from February 2010 to March 2021. The sensitivity, specificity, and ability to improve diagnosis when added to Awaji and Gold Coast criteria were determined. The main finding of the study is that T-MEP-LL can detect UMN dysfunction with a 70% sensitivity and 63% specificity when UMN clinical signs are lacking. The sensitivity reaches 82% when considering all MND patients. Moreover, at first evaluation, using T-MEP-LL to quantify reflex briskness and to measure central conduction time, can improve the diagnostic accuracy. T-MEP-LL is easy to perform and does not need any electrical stimulation, making the test rapid, and painless. By the simultaneous quantification of both UMN and LMN system, it could also help to identify different phenotype with more accuracy than clinical examination in this broad-spectrum pathology. The question whether T-MEP-LL could further be a real biomarker need further prospective studies.
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Affiliation(s)
- A Desmaison
- Service de neurologie, CRCSLA et maladies du neurone moteur, CHU de Clermont-Ferrand, université Clermont Auvergne, 63000 Clermont-Ferrand, France.
| | - A Truffert
- Unité de Neuroimmunologie et des affections neuromusculaires et groupe CeSLA, département des neurosciences cliniques, hôpitaux universitaires de Genève, Genève, Suisse
| | - B Pereira
- Délégation de recherche clinique et de l'innovation, unité de biostatistiques, CHU de Clermont-Ferrand, 63000 Clermont-Ferrand, France
| | - J-P Camdessanché
- Service de neurologie, CRCSLA et maladies du neurone moteur, CHU de Saint-Étienne, 42055 Saint-Étienne cedex 02, France
| | - X Moisset
- Service de neurologie, CRCSLA et maladies du neurone moteur, CHU de Clermont-Ferrand, université Clermont Auvergne, 63000 Clermont-Ferrand, France; Unité de Neuroimmunologie et des affections neuromusculaires et groupe CeSLA, département des neurosciences cliniques, hôpitaux universitaires de Genève, Genève, Suisse; Délégation de recherche clinique et de l'innovation, unité de biostatistiques, CHU de Clermont-Ferrand, 63000 Clermont-Ferrand, France; Service de neurologie, CRCSLA et maladies du neurone moteur, CHU de Saint-Étienne, 42055 Saint-Étienne cedex 02, France; Inserm Neuro-Dol U1107, université Clermont Auvergne, 63000 Clermont-Ferrand, France
| | - N Guy
- Service de neurologie, CRCSLA et maladies du neurone moteur, CHU de Clermont-Ferrand, université Clermont Auvergne, 63000 Clermont-Ferrand, France; Unité de Neuroimmunologie et des affections neuromusculaires et groupe CeSLA, département des neurosciences cliniques, hôpitaux universitaires de Genève, Genève, Suisse; Délégation de recherche clinique et de l'innovation, unité de biostatistiques, CHU de Clermont-Ferrand, 63000 Clermont-Ferrand, France; Service de neurologie, CRCSLA et maladies du neurone moteur, CHU de Saint-Étienne, 42055 Saint-Étienne cedex 02, France; Inserm Neuro-Dol U1107, université Clermont Auvergne, 63000 Clermont-Ferrand, France
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Timmins HC, Thompson AE, Kiernan MC. Diagnostic criteria for amyotrophic lateral sclerosis. Curr Opin Neurol 2024:00019052-990000000-00183. [PMID: 39037015 DOI: 10.1097/wco.0000000000001302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/23/2024]
Abstract
PURPOSE OF REVIEW The present review will discuss the evolution of diagnostic criteria for amyotrophic lateral sclerosis (ALS) and biomarker considerations. RECENT FINDINGS To address the limitations of existing ALS diagnostic criteria, a consortium of key stakeholders developed the Gold Coast consensus criteria (GCC). The GCC has similar or greater sensitivity compared with the revised El Escorial (rEEC) and Awaji criteria (AC), particularly for atypical phenotypes, maintained across disease duration, severity, and site of onset. In addition to improving diagnostic sensitivity, using the GCC in clinical trials may promote an increased enrolment of up to 50% of ALS patients who do not currently meet the full diagnostic eligibility requirements of the rEEC. Future inclusion of genetic biomarkers may mitigate some limitations of the GCC, to further improve diagnostic utility. In advance of such a process, validation of these biomarkers will be required before inclusion as additional criteria. SUMMARY The GCC are simpler to use than previous consensus criteria, with demonstrated greater sensitivity and, enabling an earlier and more definitive ALS diagnosis, thereby facilitating wider enrolment into clinical trials. Broader implementation of the GCC in clinical trial settings is currently underway, globally.
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Affiliation(s)
| | - Alexandra E Thompson
- Neuroscience Research Australia
- Department of Neurology, Royal Prince Alfred Hospital Sydney, Australia
| | - Matthew C Kiernan
- Neuroscience Research Australia
- University of New South Wales
- Department of Neurology, Prince of Wales Hospital
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El Khalfi R, Maupoint E, Chiavassa-Gandois H, Goumarre C, Filliole A, Lapègue F, Fabry V, Acket B, Laforet A, Sans N, Cintas P, Faruch-Bilfeld M. Assessment of whole-body muscle MRI for the early diagnosis of Amyotrophic Lateral Sclerosis. Eur J Radiol 2024; 176:111481. [PMID: 38703513 DOI: 10.1016/j.ejrad.2024.111481] [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: 12/14/2023] [Revised: 03/01/2024] [Accepted: 04/25/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVES To evaluate muscle signal abnormalities on whole-body muscle MRI with T2 and diffusion-weighted imaging in early ALS stages. METHODS 101 muscles were analyzed in newly diagnosed ALS patients and healthy controls on a whole-body MRI protocol including four-point T2-Dixon imaging and diffusion-weighted imaging (b0 and b800). Sensitivity and inter-observer agreement were assessed. RESULTS 15 patients (mean age, 64 +/- 12 [SD], 9 men) who met the Awaji-Shima criteria for definite, probable or possible ALS and 9 healthy controls were assessed (mean age, 53 +/- 13 [SD], 2 men). 61 % of the muscles assessed in ALS patients (62/101) showed signal hyperintensities on T2-weighted imaging, mainly in the upper and lower extremities (legs, hands and feet). ALS patients had a significantly higher number of involved muscles compared to healthy controls (p = 0,006). Diffusion-weighted imaging allowed for the detection of additional involvement in 22 muscles, thus improving the sensitivity of whole-body MRI from 60 % (using T2-weighted imaging only) up to 80 % (with the combination of T2-weighted and diffusion-weighted imaging). CONCLUSIONS ALS patients exhibited significant muscle signal abnormalities on T2-weighted and diffusion-weighted imaging in early disease stages. Whole-body MRI could be used for pre-EMG mapping of muscle involvement in order to choose suitable targets, thus improving early diagnosis.
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Affiliation(s)
- Rokia El Khalfi
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France.
| | - Estelle Maupoint
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Hélène Chiavassa-Gandois
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Céline Goumarre
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Antoine Filliole
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Franck Lapègue
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Vincent Fabry
- Service de Neurologie - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Blandine Acket
- Service de Neurologie - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Anne Laforet
- Service de Neurologie - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Nicolas Sans
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Pascal Cintas
- Service de Neurologie - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Marie Faruch-Bilfeld
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France.
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Jacobsen AB, Bostock H, Howells J, Cengiz B, Samusyte G, Koltzenburg M, Pia H, Fuglsang‐Frederiksen A, Blicher J, Obál I, Andersen H, Tankisi H. Threshold tracking transcranial magnetic stimulation and neurofilament light chain as diagnostic aids in ALS. Ann Clin Transl Neurol 2024; 11:1887-1896. [PMID: 38894662 PMCID: PMC11251469 DOI: 10.1002/acn3.52095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 04/21/2024] [Accepted: 05/04/2024] [Indexed: 06/21/2024] Open
Abstract
OBJECTIVE There is a need for sensitive biomarkers in amyotrophic lateral sclerosis (ALS), to enable earlier diagnosis and to help assess potential treatments. The main objective of this study was to compare two potential biomarkers, threshold-tracking short-interval cortical inhibition (T-SICI), which has shown promise as a diagnostic aid, and neurofilament light chains (NfL). METHODS Ninety-seven patients with ALS (mean age 67.1 ± 11.5 years) and 53 ALS mimics (aged 62.4 ± 12.9) were included. Mean disease duration was 14 months ±14.1. Patients were evaluated with revised ALS functional rating score (ALSFRS-R), Penn upper motor neuron score (UMNS), muscle strength using the Medical Research Council (MRC) score and examined with T-SICI, quantitative electromyography (EMG), and NfL measured in spinal fluid. RESULTS NfL increased with increasing UMNS (rho = 0.45, p = 8.2 × 10-6) whereas T-SICI at 2.5 ms paradoxically increased toward normal values (rho = 0.53, p = 1.9 × 10-7). However, these two measures were uncorrelated. Discrimination between ALS patients and mimics was best for NfL (area under ROC curve 0.842, sensitivity 84.9%, specificity 83.5%), compared with T-SICI (0.675, 39.6%, 91.8%). For the patients with no UMN signs, NfL also discriminated best (0.884, 89.3%, 82.6%), compared with T-SICI (0.811, 71.4%, 82.6%). However, when combining NfL and T-SICI, higher AUCs of 0.854 and 0.922 and specificities of 93.8 and 100 were found when considering all patients and patients with no UMN signs, respectively. INTERPRETATION Both T-SICI and NfL correlated with UMN involvement and combined, they provided a strong discrimination between ALS patients and ALS mimics.
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Affiliation(s)
- Anna B. Jacobsen
- Department of Clinical NeurophysiologyAarhus University HospitalAarhus N8200Denmark
| | - Hugh Bostock
- UCL Queen SquareInstitute of NeurologyQueen SquareLondonWC1N 3BGUK
| | - James Howells
- Central Clinical School, Faculty of Medicine and HealthUniversity of SydneySydneyNSW2006Australia
| | - Bülent Cengiz
- Department of NeurologyGazi University Faculty of MedicineBeşevler06570AnkaraTurkey
| | - Gintaute Samusyte
- Department of Neurology, Medical AcademyLithuanian University of Health SciencesKaunas44307Lithuania
- Department of NeurologyLithuanian University of Health Sciences Hospital Kauno KlinikosKaunas50161Lithuania
| | - Martin Koltzenburg
- UCL Queen SquareInstitute of NeurologyQueen SquareLondonWC1N 3BGUK
- Department of Clinical NeurophysiologyNational Hospital for Neurology and NeurosurgeryQueen SquareLondonWC1N 3BGUK
| | - Hossein Pia
- Department of Clinical NeurophysiologyAarhus University HospitalAarhus N8200Denmark
| | | | - Jakob Blicher
- Department of NeurologyAalborg University HospitalAalborg9000Denmark
| | - Izabella Obál
- Department of NeurologyAalborg University HospitalAalborg9000Denmark
| | - Henning Andersen
- Department of NeurologyAarhus University HospitalAarhus N8200Denmark
| | - Hatice Tankisi
- Department of Clinical NeurophysiologyAarhus University HospitalAarhus N8200Denmark
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Levison LS, Jepsen P, Andersen H. Registration of Amyotrophic Lateral Sclerosis: Validity in the Danish National Patient Registry. Clin Epidemiol 2024; 16:409-415. [PMID: 38860134 PMCID: PMC11164206 DOI: 10.2147/clep.s458661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 05/06/2024] [Indexed: 06/12/2024] Open
Abstract
Purpose Health care databases are a valuable source for epidemiological research on amyotrophic lateral sclerosis (ALS) if diagnosis codes are valid. We evaluated the validity of the diagnostic codes for ALS in the Danish National Patient Registry (DNPR). Patients and Methods We obtained data from the DNPR for all adult (>17 years) patients registered with ALS in Denmark between 1987 and 2022 (median population of 4.2 million during the study period). We randomly selected adult patients living in the North Denmark Region and Central Denmark Region (median population 1.4 million), with a primary discharge diagnosis code of ALS, diagnosed at three departments of neurology. We retrieved and reviewed medical records and estimated the positive predictive value (PPV) of the ALS diagnosis. Results Over 36 years, we identified 5679 patients. From the validation cohort of 300 patients, we were able to retrieve 240 (80%) medical records, and 215 ALS diagnoses were confirmed. The overall positive predictive value was 89.6% (95% confidence interval (CI): 85.1-92.8). The highest PPV was achieved for diagnoses registered for patients aged ≥70 years (93.8; 95% CI: 86.2-97.3) compared to patients <60 years (83.4; 95% CI: 73.3-90.7). Conclusion We found a high PPV of primary diagnostic codes for ALS from Danish departments of neurology, demonstrating high validity. Thus, the DNPR is a well-suited data source for large-scale epidemiological research on ALS.
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Affiliation(s)
| | - Peter Jepsen
- Department of Hepatology and Gastroenterology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Henning Andersen
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
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Hearn SL, Stino AM, Howard IM, Malhotra G, Robinson L. Serial electrodiagnostic testing: Utility and indications in adult neurological disorders. Muscle Nerve 2024; 69:670-681. [PMID: 38549195 DOI: 10.1002/mus.28083] [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: 03/07/2024] [Accepted: 03/07/2024] [Indexed: 05/08/2024]
Abstract
Although existing guidelines address electrodiagnostic (EDX) testing in identifying neuromuscular conditions, guidance regarding the uses and limitations of serial (or repeat) EDX testing is limited. By assessing neurophysiological change longitudinally across time, serial electrodiagnosis can clarify a diagnosis and potentially provide valuable prognostic information. This monograph presents four broad indications for serial electrodiagnosis in adult peripheral neurological disorders. First, where clinical change has raised suspicion for a new or ongoing lesion, EDX reassessment for spatial spread of abnormality, involvement of previously normal muscle or nerve, and/or evolving pathophysiology can clarify a diagnosis. Second, where diagnosis of a progressive neuromuscular condition is uncertain, electrophysiological data from a second time point can confirm or refute suspicion. Third, to establish prognosis after a static nerve injury, a repeat study can assess the presence and extent of reinnervation. Finally, faced with a limited initial study (as when complicated by patient or environmental factors), a repeat EDX study can supplement missing or limited data to provide needed clarity. Repeat EDX studies carry certain limitations, however, such as with prognostication in the setting of remote or chronic lesions, sensory predominant fascicular injury, or mild axonal injury. Nevertheless, serial electrodiagnosis remains a valuable and underused tool in the diagnostic and prognostic evaluation of neuromuscular conditions.
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Affiliation(s)
- Sandra L Hearn
- Department of Physical Medicine and Rehabilitation, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Amro Maher Stino
- Division of Neuromuscular Medicine, Department of Neurology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Ileana M Howard
- Department of Rehabilitation Medicine, University of Washington, Washington, USA
| | - Gautam Malhotra
- Altair Health, Morristown, New Jersey, USA
- Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Lawrence Robinson
- Division of Physical Medicine and Rehabilitation, University of Toronto, Toronto, Ontario, Canada
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7
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Otani R, Shibuya K, Shimizu T, Kitaoji T, Noto YI, Bokuda K, Kimura H, Suichi T, Nakamura K, Kano H, Morooka M, Aotsuka Y, Ogushi M, Misawa S, Kuwabara S. Diagnostic utility of Gold Coast criteria for amyotrophic lateral sclerosis in Asia. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:264-270. [PMID: 38226616 DOI: 10.1080/21678421.2024.2303062] [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: 08/29/2023] [Accepted: 01/02/2024] [Indexed: 01/17/2024]
Abstract
Objective: This study aimed to reveal the diagnostic utility of Gold Coast (GC) criteria in Japanese patients with amyotrophic lateral sclerosis (ALS) by comparing the sensitivity/specificity with revised El Escorial (R-EE) and Awaji criteria, because its utility has not been studied in Asian ALS. Methods: Consecutive 639 patients (529 with ALS and 110 with ALS mimics), who were suspected of ALS and referred to three Japanese ALS centers, were enrolled. Diagnostic accuracy and characteristics of false positive and negative in GC criteria were compared with those of the Awaji and R-EE criteria. Patients were categorized as definite, probable or possible ALS according to each criterion. Results: The sensitivity of GC criteria (96.8%, 95% confidence interval [CI]: 95.3-98.3%) was higher than that of Awaji (89.6%, 95% CI: 87.0-92.2%) and R-EEC (89.2, 95% CI: 86.6-91.8%) criteria (both, p < 0.001). The specificity was also higher with GC criteria (77.3%, 95% CI: 69.5-85.1%) than Awaji (65.5%, 95% CI: 56.6-74.4%) and R-EEC (66.4, 95% CI: 57.6-75.2%) criteria (both, p < 0.01). Using GC criteria, patients with cervical spondylosis and Parkinson's syndrome tended to be diagnosed with ALS (i.e. "false positive"). Additionally, ALS patients diagnosed only by GC criteria less frequently had upper motor neuron (UMN) signs, compared with the other two criteria. Conclusion: Gold Coast criteria improve diagnostic accuracy for ALS in an Asian population, especially in patients with subtle UMN signs.
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Affiliation(s)
- Ryo Otani
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Kazumoto Shibuya
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Toshio Shimizu
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, Tokyo, Japan, and
| | - Takamasa Kitaoji
- Department of Neurology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yu-Ichi Noto
- Department of Neurology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kota Bokuda
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, Tokyo, Japan, and
| | - Hideki Kimura
- Department of Neurology, Tokyo Metropolitan Neurological Hospital, Tokyo, Japan, and
| | - Tomoki Suichi
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Keigo Nakamura
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Hiroki Kano
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Marie Morooka
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Yuya Aotsuka
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Moeko Ogushi
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Sonoko Misawa
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Satoshi Kuwabara
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
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Vucic S, de Carvalho M, Bashford J, Alix JJP. Contribution of neurophysiology to the diagnosis and monitoring of ALS. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2024; 176:87-118. [PMID: 38802184 DOI: 10.1016/bs.irn.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
This chapter describes the role of neurophysiological techniques in diagnosing and monitoring amyotrophic lateral sclerosis (ALS). Despite many advances, electromyography (EMG) remains a keystone investigation from which to build support for a diagnosis of ALS, demonstrating the pathophysiological processes of motor unit hyperexcitability, denervation and reinnervation. We consider development of the different diagnostic criteria and the role of EMG therein. While not formally recognised by established diagnostic criteria, we discuss the pioneering studies that have demonstrated the diagnostic potential of transcranial magnetic stimulation (TMS) of the motor cortex and highlight the growing evidence for TMS in the diagnostic process. Finally, accurately monitoring disease progression is crucial for the successful implementation of clinical trials. Neurophysiological measures of disease state have been incorporated into clinical trials for over 20 years and we review prominent techniques for assessing disease progression.
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Affiliation(s)
- Steve Vucic
- Brain and Nerve Research Centre, Concord Clinical School and Department of Neurology, Concord Repatriation General Hospital, The University of Sydney, Sydney, NSW, Australia
| | - Mamede de Carvalho
- Instituto de Medicina Molecular João Lobo Antunes, Centro de Estudos Egas Moniz, Faculty of Medicine, Universidade de Lisboa, Lisboa, Portugal; Department of Neurosciences, CHULN, Centro Académico de Medicina de Lisboa, Lisboa, Portugal
| | - James Bashford
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - James J P Alix
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom.
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de Jonge S, Potters WV, Verhamme C. Artificial intelligence for automatic classification of needle EMG signals: A scoping review. Clin Neurophysiol 2024; 159:41-55. [PMID: 38246117 DOI: 10.1016/j.clinph.2023.12.134] [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: 07/22/2023] [Revised: 12/01/2023] [Accepted: 12/16/2023] [Indexed: 01/23/2024]
Abstract
OBJECTIVE This scoping review provides an overview of artificial intelligence (AI), including machine and deep learning techniques, in the interpretation of clinical needle electromyography (nEMG) signals. METHODS A comprehensive search of Medline, Embase and Web of Science was conducted to find peer-reviewed journal articles. All papers published after 2010 were included. The methodological quality of the included studies was assessed with CLAIM (checklist for artificial intelligence in medical imaging). RESULTS 51 studies were identified that fulfilled the inclusion criteria. 61% used open-source EMGlab data set to develop models to classify nEMG signal in healthy, amyotrophic lateral sclerosis (ALS) and myopathy (25 subjects). Only two articles developed models to classify signals recorded at rest. Most articles reported high performance accuracies, but many were subject to bias and overtraining. CONCLUSIONS Current AI-models of nEMG signals are not sufficient for clinical implementation. Suggestions for future research include emphasizing the need for an optimal training and validation approach using large datasets of clinical nEMG data from a diverse patient population. SIGNIFICANCE The outcomes of this study and the suggestions made aim to contribute to developing AI-models that can effectively handle signal quality variability and are suitable for daily clinical practice in interpreting nEMG signals.
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Affiliation(s)
- S de Jonge
- Department of Neurology and Clinical Neurophysiology, Amsterdam Neuroscience, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - W V Potters
- Department of Neurology and Clinical Neurophysiology, Amsterdam Neuroscience, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands; TrianecT, Padualaan 8, Utrecht, The Netherlands
| | - C Verhamme
- Department of Neurology and Clinical Neurophysiology, Amsterdam Neuroscience, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
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10
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de Carvalho M, Swash M. Diagnosis and differential diagnosis of MND/ALS: IFCN handbook chapter. Clin Neurophysiol Pract 2023; 9:27-38. [PMID: 38249779 PMCID: PMC10796809 DOI: 10.1016/j.cnp.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 11/01/2023] [Accepted: 12/07/2023] [Indexed: 01/23/2024] Open
Abstract
•Accurate and rapid diagnosis of amyotrophic lateral sclerosis (ALS) is important to prevent erroneous interventions. •The recent Gold Coast criteria are easily applicable and have high sensitivity and specificity. •Future developments will help to distinguish ALS as a specific clinical-pathologic entity. Accurate and rapid diagnosis of amyotrophic lateral sclerosis (ALS) is essential in order to provide accurate information for patient and family, to avoid time-consuming investigations and to permit an appropriate management plan. ALS is variable regarding presentation, disease progression, genetic profile and patient reaction to the diagnosis. It is obviously important to exclude treatable conditions but, in most patients, for experienced neurologists the diagnosis is clear-cut, depending on the presence of progressive upper and lower motor neuron signs. Patients with signs of restricted lower motor neuron (LMN) or upper motor neuron (UMN) dysfunction may present diagnostic difficulty, but electromyography (EMG) is often a determinant diagnostic test since it may exclude other disorders. Transcranial magnetic stimulation may aid detection of UMN dysfunction, and brain and spinal cord MRI, ultrasound and blood neurofilament measurements, have begun to have clinical impact, although none are themselves diagnostic tests. Several sets of diagnostic criteria have been proposed in the past; all rely on clinical LMN and UMN signs in different anatomic territories, EMG changes, exclusion of other disorders, and disease progression, in particular evidence of spreading to other anatomic territories. Fasciculations are a characteristic clinical feature and increased importance is now attached to fasciculation potentials detected by EMG, when associated with classical signs of denervation and reinnervation. The Gold Coast diagnostic criteria rely on the presence of UMN and LMN signs in one (or more) anatomic territory, or LMN signs in two (or more) anatomic territories, recognizing the fundamental clinical requirements of disease progression and exclusion of other diseases. Recent studies confirm a high sensitivity without loss of specificity using these Gold Coast criteria. In considering the diagnosis of ALS a critical question for future understanding is whether ALS should be considered a syndrome or a specific clinico-pathologic entity; this can only be addressed in the light of more complete knowledge.
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Affiliation(s)
- Mamede de Carvalho
- Faculdade de Medicina- Instituto de Medicina Molecular, Centro de Estudos Egas Moniz, Universidade de Lisboa, Lisbon, Portugal
- Department of Neurosciences and Mental Health, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa-Norte, Lisbon, Portugal
| | - Michael Swash
- Faculdade de Medicina- Instituto de Medicina Molecular, Centro de Estudos Egas Moniz, Universidade de Lisboa, Lisbon, Portugal
- Departments of Neurology and Neurosciences, Barts and the London School of Medicine, Queen Mary University of London and Royal London Hospital, UK
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11
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Cassereau J, Bernard E, Genestet S, Chebbah M, Le Clanche S, Verschueren A, Couratier P. Management of amyotrophic lateral sclerosis in clinical practice: Results of the expert consensus using the Delphi methodology. Rev Neurol (Paris) 2023; 179:1134-1144. [PMID: 37827930 DOI: 10.1016/j.neurol.2023.07.011] [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: 04/24/2023] [Revised: 07/26/2023] [Accepted: 07/28/2023] [Indexed: 10/14/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is a rare disease characterized by a progressive and irreversible degeneration of upper and lower motor neurons leading to death. In France, limited data exist describing the criteria used in clinical practice for diagnosis and follow-up, and how novel therapies may fit in. The objective of this Delphi panel was to obtain an overview of current French practices in ALS diagnosis, management, and follow-up by determining the scales and criteria used in clinical practice outside of clinical trials, as well as the place of a future treatment like AMX0035, acting on endoplasmic reticulum (ER) stress and mitochondrial dysfunction, in the current therapeutic strategies. A questionnaire was administered to 24 ALS healthcare providers practicing in ALS centers in France. Two rounds of remote voting were organized, before proposition of final consensus statements. Consensus was considered reached when at least 66% of the voters agreed. Consensus were obtained to define the new Gold Coast criteria as the ones used in clinical practice to establish the diagnosis of ALS, thus replacing the revised El Escorial criteria, considered too complex and now mainly used to characterize the patient populations to be included in clinical trials. The clinical factors considered to establish ALS diagnosis are mainly the demonstration of progression of the motor deficit and elimination of differential diagnoses. The ALSFRS-R scale is used in daily clinical practice to assess patient's functional impairment in terms of number of points lost, with the bulbar, respiratory, and fine motor subscores being the most important to evaluate independently. A critical medical need was identified regarding the provision of new therapeutic alternatives in ALS. The panel members would support the earliest management of patients. In this landscape, based on data from a very encouraging phase II (Centaur trial), AMX0035 represents a new tool of choice in current treatment strategies for all patients for whom experts are confident in the diagnosis of ALS, in combination with riluzole. These results will need to be confirmed by the ongoing phase III trial (Phoenix trial).
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Affiliation(s)
- J Cassereau
- Service de neurologie, CRC-SLA d'Angers, CHU d'Angers, 4, rue Larrey, 49933 Angers, France.
| | - E Bernard
- Centre SLA de Lyon, hôpital neurologique P. Wertheimer, hospices civils de Lyon, université de Lyon, 59, boulevard Pinel, 69677 Bron cedex, France; Institut NeuroMyoGène, faculté de médecine Rockefeller, CNRS UMR5310, INSERM U1217, université Claude-Bernard Lyon I, 8, avenue Rockefeller, 69373 Lyon cedex 08, France
| | - S Genestet
- Explorations fonctionnelles neurologiques, CRC SLA et maladies du motoneurone, hôpital Cavale-Blanche, CHRU de Brest, boulevard Tanguy-Prigent, 29609 Brest, France
| | - M Chebbah
- Public Health Expertise, département affaires médicales, 10, boulevard de Sébastopol, 75004 Paris, France
| | - S Le Clanche
- Public Health Expertise, département affaires médicales, 10, boulevard de Sébastopol, 75004 Paris, France
| | - A Verschueren
- Centre de référence pour les maladies neuromusculaires et la SLA, hôpital de la Timone, CHU de Marseille, Marseille, France
| | - P Couratier
- Neurosciences tête, cou et os, service de neurologie, centre référence maladies rares SLA & autres maladies du neurone moteur, hôpital Dupuytren 1, CHU de Limoges, 2, avenue Martin-Luther-King, 87000 Limoges, France
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12
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Stikvoort García DJL, Sleutjes BTHM, van Schelven LJ, Goedee HS, van den Berg LH. Diagnostic accuracy of nerve excitability and compound muscle action potential scan derived biomarkers in amyotrophic lateral sclerosis. Eur J Neurol 2023; 30:3068-3078. [PMID: 37354059 DOI: 10.1111/ene.15954] [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: 04/03/2023] [Revised: 06/19/2023] [Accepted: 06/20/2023] [Indexed: 06/26/2023]
Abstract
BACKGROUND AND PURPOSE The lack of reliable early biomarkers still causes substantial diagnostic delays in amyotrophic lateral sclerosis (ALS). The aim was to assess the diagnostic accuracy of a novel electrophysiological protocol in patients with suspected motor neuron disease (MND). METHODS Consecutive patients with suspected MND were prospectively recruited at our tertiary referral centre for MND in Utrecht, The Netherlands. Procedures were performed in accordance with the Standards for Reporting of Diagnostic Accuracy. In addition to the standard diagnostic workup, an electrophysiological protocol of compound muscle action potential (CMAP) scans and nerve excitability tests was performed on patients' thenar muscles. The combined diagnostic yield of nerve excitability and CMAP scan based motor unit number estimation was compared to the Awaji and Gold Coast criteria and their added value was determined. RESULTS In all, 153 ALS or progressive muscular atrophy patients, 63 disease controls and 43 healthy controls were included. Our electrophysiological protocol had high diagnostic accuracy (area under the curve [AUC] 0.85, 95% confidence interval [95% CI] 0.80-0.90), even in muscles with undetectable axon loss (AUC 0.78, 95% CI 0.70-0.85) and in bulbar-onset patients (AUC 0.85, 95% CI 0.73-0.95). Twenty-four of 33 (73%) ALS patients who could not be diagnosed during the same visit were correctly identified, as well as 8/13 (62%) ALS patients not meeting the Gold Coast criteria and 49/59 (83%) ALS patients not meeting the Awaji criteria during this first visit. CONCLUSIONS Our practical and non-invasive electrophysiological protocol may improve early diagnosis in clinically challenging patients with suspected ALS. Routine incorporation may boost early diagnosis, enhance patient selection and generate baseline measures for clinical trials.
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Affiliation(s)
- D J L Stikvoort García
- Department of Neurology, Brain Center Utrecht, University Medical Center Utrecht, Utrecht, The Netherlands
| | - B T H M Sleutjes
- Department of Neurology, Brain Center Utrecht, University Medical Center Utrecht, Utrecht, The Netherlands
| | - L J van Schelven
- Department of Medical Technology and Clinical Physics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - H S Goedee
- Department of Neurology, Brain Center Utrecht, University Medical Center Utrecht, Utrecht, The Netherlands
| | - L H van den Berg
- Department of Neurology, Brain Center Utrecht, University Medical Center Utrecht, Utrecht, The Netherlands
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13
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Alves I, Gromicho M, Oliveira Santos M, Pinto S, Pronto-Laborinho A, Swash M, de Carvalho M. Demographic changes in a large motor neuron disease cohort in Portugal: a 27 year experience. Amyotroph Lateral Scler Frontotemporal Degener 2023:1-11. [PMID: 37295966 DOI: 10.1080/21678421.2023.2220747] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 05/22/2023] [Accepted: 05/28/2023] [Indexed: 06/12/2023]
Abstract
Objective: Motor Neuron Diseases (MND) have a large clinical spectrum, being the most common amyotrophic lateral sclerosis (ALS) but there is significant clinical heterogeneity. Our goal was to investigate this heterogeneity and any potential changes during a long period. Methods: We performed a retrospective cohort study among a large Portuguese cohort of MND patients (n = 1550) and investigated changing patterns in clinical and demographic characteristics over the 27-year period of our database. With that aim, patients were divided into three 9-year groups according to the date of their first visit to our unit: P1, 1994-2002; P2, 2003-2011; P3, 2012-2020. Results: The overall cohort's clinical and demographic characteristics are consistent with clinical experience, but our findings point to gradual changes over time. Time pattern analysis revealed statistically significant differences in the distribution of clinical phenotypes, the average age of onset, diagnostic delay, the proportin of patients using respiratory support with noninvasive ventilation (NIV), time to NIV, and survival. Across time, in the overall cohort, we found an increasing age at onset (p = 0.029), a decrease of two months in diagnostic delay (p < 0.001) and a higher relative frequency of progressive muscular atrophy patients. For ALS patients with spinal onset, from P1 to P2, there was a more widespread (54.8% vs 69.4%, p = 0.005) and earlier (36.9 vs 27.2 months, p = 0.05) use of NIV and a noteworthy 13-month increase in median survival (p = 0.041). Conclusions: Our results probably reflect better comprehensive care, and they are relevant for future studies exploring the impact of new treatments on ALS patients.
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Affiliation(s)
- Inês Alves
- Centro de Estudos Egas Moniz, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Lisboa, Portugal
| | - Marta Gromicho
- Centro de Estudos Egas Moniz, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Lisboa, Portugal
| | - Miguel Oliveira Santos
- Centro de Estudos Egas Moniz, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Lisboa, Portugal
- Serviço de Neurologia, Departamento de Neurociências e Saúde Mental, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa-Norte, Lisboa, Portugal, and
| | - Susana Pinto
- Centro de Estudos Egas Moniz, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Lisboa, Portugal
| | - Ana Pronto-Laborinho
- Centro de Estudos Egas Moniz, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Lisboa, Portugal
| | - Michael Swash
- Centro de Estudos Egas Moniz, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Lisboa, Portugal
- Departments of Neurology and Neuroscience, Barts and the London School of Medicine, Queen Mary University of London, United Kingdom
| | - Mamede de Carvalho
- Centro de Estudos Egas Moniz, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Lisboa, Portugal
- Serviço de Neurologia, Departamento de Neurociências e Saúde Mental, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa-Norte, Lisboa, Portugal, and
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14
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Boostani R, Olfati N, Shamshiri H, Salimi Z, Fatehi F, Hedjazi SA, Fakharian A, Ghasemi M, Okhovat AA, Basiri K, Haghi Ashtiani B, Ansari B, Raissi GR, Khatoonabadi SA, Sarraf P, Movahed S, Panahi A, Ziaadini B, Yazdchi M, Bakhtiyari J, Nafissi S. Iranian clinical practice guideline for amyotrophic lateral sclerosis. Front Neurol 2023; 14:1154579. [PMID: 37333000 PMCID: PMC10272856 DOI: 10.3389/fneur.2023.1154579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/09/2023] [Indexed: 06/20/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neurodegeneration involving motor neurons. The 3-5 years that patients have to live is marked by day-to-day loss of motor and sometimes cognitive abilities. Enormous amounts of healthcare services and resources are necessary to support patients and their caregivers during this relatively short but burdensome journey. Organization and management of these resources need to best meet patients' expectations and health system efficiency mandates. This can only occur in the setting of multidisciplinary ALS clinics which are known as the gold standard of ALS care worldwide. To introduce this standard to the care of Iranian ALS patients, which is an inevitable quality milestone, a national ALS clinical practice guideline is the necessary first step. The National ALS guideline will serve as the knowledge base for the development of local clinical pathways to guide patient journeys in multidisciplinary ALS clinics. To this end, we gathered a team of national neuromuscular experts as well as experts in related specialties necessary for delivering multidisciplinary care to ALS patients to develop the Iranian ALS clinical practice guideline. Clinical questions were prepared in the Patient, Intervention, Comparison, and Outcome (PICO) format to serve as a guide for the literature search. Considering the lack of adequate national/local studies at this time, a consensus-based approach was taken to evaluate the quality of the retrieved evidence and summarize recommendations.
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Affiliation(s)
- Reza Boostani
- Department of Neurology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Nahid Olfati
- Department of Neurology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hosein Shamshiri
- Department of Neurology, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Neuromuscular Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Zanireh Salimi
- Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Farzad Fatehi
- Department of Neurology, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Neuromuscular Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Arya Hedjazi
- Legal Medicine Research Center, Legal Medicine Organization, Tehran, Iran
| | - Atefeh Fakharian
- Pulmonary Rehabilitation Research Center (PRRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
- National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Internal Medicine, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Majid Ghasemi
- Department of Neurology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ali Asghar Okhovat
- Department of Neurology, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Neuromuscular Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Keivan Basiri
- Department of Neurology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
- Isfahan Neuroscience Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Bahram Haghi Ashtiani
- Department of Neurology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Behnaz Ansari
- Department of Neurology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
- Isfahan Neuroscience Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
- AL Zahra Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Gholam Reza Raissi
- Department of Physical Medicine and Rehabilitation, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Neuromusculoskeletal Research Center, Iran University of Medical Sciences, Tehran, Iran
| | | | - Payam Sarraf
- Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Neurology, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Sara Movahed
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Akram Panahi
- Department of Neurology, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Neuromuscular Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Bentolhoda Ziaadini
- Department of Neurology, Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran
- Neurology Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Mohammad Yazdchi
- Department of Neurology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
- Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Jalal Bakhtiyari
- Department of Speech Therapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
| | - Shahriar Nafissi
- Department of Neurology, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Neuromuscular Research Center, Tehran University of Medical Sciences, Tehran, Iran
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15
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Davies JC, Dharmadasa T, Thompson AG, Edmond EC, Yoganathan K, Gao J, Talbot K, Turner MR. Limited value of serum neurofilament light chain in diagnosing amyotrophic lateral sclerosis. Brain Commun 2023; 5:fcad163. [PMID: 37292457 PMCID: PMC10244039 DOI: 10.1093/braincomms/fcad163] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/21/2023] [Accepted: 05/17/2023] [Indexed: 06/10/2023] Open
Abstract
A biomarker specific for the diagnosis of amyotrophic lateral sclerosis must be sensitive across a spectrum of clinical heterogeneity. Neurofilament light chain levels in amyotrophic lateral sclerosis correlate with the rate of disability progression. Previous attempts to establish a diagnostic role for neurofilament light chain have been limited to comparison with healthy individuals or controls with alternative diagnoses unlikely to be confused with amyotrophic lateral sclerosis in real-world clinical practice. In a tertiary amyotrophic lateral sclerosis referral clinic, at first visit, serum was taken for neurofilament light chain measurement after prospectively recording the clinical diagnosis as 'amyotrophic lateral sclerosis', 'primary lateral sclerosis', 'alternative' or 'currently uncertain'. Of 133 referrals, 93 patients were diagnosed with amyotrophic lateral sclerosis (median neurofilament light chain 218.1 pg/ml, interquartile range 130.7-311.9), three primary lateral sclerosis (65.6, 51.5-106.9) and 19 alternative diagnoses (45.2, 13.5-71.9) at first visit. Of 18 initially uncertain diagnoses, eight were subsequently diagnosed with amyotrophic lateral sclerosis (98.5, 45.3-300.1). Neurofilament light chain ≥110.9 pg/ml had a positive predictive value of 0.92 for amyotrophic lateral sclerosis; <110.9 pg/ml had a negative predictive value of 0.48. In a specialized clinic, neurofilament light chain is largely confirmatory to clinical judgement in diagnosing amyotrophic lateral sclerosis and has limited ability to exclude alternative diagnoses. The current, important, value of neurofilament light chain is its potential to stratify patients with amyotrophic lateral sclerosis by disease activity and as a biomarker in therapeutic trials.
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Affiliation(s)
| | | | | | - Evan C Edmond
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Katie Yoganathan
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Jiali Gao
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Kevin Talbot
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
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Falcão de Campos C, Gromicho M, Uysal H, Grosskreutz J, Kuzma-Kozakiewicz M, Oliveira Santos M, Pinto S, Petri S, Swash M, de Carvalho M. Trends in the diagnostic delay and pathway for amyotrophic lateral sclerosis patients across different countries. Front Neurol 2023; 13:1064619. [PMID: 36733448 PMCID: PMC9886675 DOI: 10.3389/fneur.2022.1064619] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 12/28/2022] [Indexed: 01/18/2023] Open
Abstract
Background Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neurodegenerative disease with a median survival of 2-5 years. An early diagnosis is essential for providing ALS patients the finest management possible. Studies from different countries report a similar median diagnostic delay of around 12 months, which is still far from desirable. We analyzed the diagnostic pathway in different countries in order to identify the major challenges. Methods We studied a cohort of 1,405 ALS patients from five different centers, in four different countries (Turkey, Germany, Poland, and Portugal), which collaborated in a common database. Demographic, disease and sociocultural factors were collected. Time from first symptom onset to first medical evaluation and to diagnosis, the specialist assessment and investigations requested were analyzed. Factors contributing to diagnostic delay were evaluated by multivariate linear regression. Results The median diagnostic delay from first symptom onset was 11 months and was similar between centers. Major differences were seen in the time from symptom onset to first medical evaluation. An earlier first medical evaluation was associated with a longer time to diagnosis, highlighting that ALS diagnosis is not straightforward in the early stages of the disease. The odds for ALS diagnosis were superior when evaluated by a neurologist and increased over time. Electromyography was decisive in establishing the diagnosis. Conclusions We suggest that a specific diagnostic test for ALS-a specific biomarker-will be needed to achieve early diagnosis. Early referral to a neurologist and to electromyography is important for early ALS diagnosis.
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Affiliation(s)
- Catarina Falcão de Campos
- Instituto de Fisiologia, Instituto de Medicina Molecular, Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal,Department of Neurosciences and Mental Health, Centro Hospitalar Universitário de Lisboa-Norte, Lisbon, Portugal,*Correspondence: Catarina Falcão de Campos ✉
| | - Marta Gromicho
- Instituto de Fisiologia, Instituto de Medicina Molecular, Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Hilmi Uysal
- Department of Neurology and Clinical Neurophysiology, Akdeniz University Faculty of Medicine, Antalya, Turkey
| | - Julian Grosskreutz
- Hans Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | | | - Miguel Oliveira Santos
- Instituto de Fisiologia, Instituto de Medicina Molecular, Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal,Department of Neurosciences and Mental Health, Centro Hospitalar Universitário de Lisboa-Norte, Lisbon, Portugal
| | - Susana Pinto
- Instituto de Fisiologia, Instituto de Medicina Molecular, Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Michael Swash
- Instituto de Fisiologia, Instituto de Medicina Molecular, Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal,Department of Neurology and Neuroscience, Barts and the London School of Medicine, Queen Mary University of London, London, United Kingdom
| | - Mamede de Carvalho
- Instituto de Fisiologia, Instituto de Medicina Molecular, Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal,Department of Neurosciences and Mental Health, Centro Hospitalar Universitário de Lisboa-Norte, Lisbon, Portugal
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17
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Genge A, Chio A. The future of ALS diagnosis and staging: where do we go from here? Amyotroph Lateral Scler Frontotemporal Degener 2022; 24:165-174. [PMID: 36503299 DOI: 10.1080/21678421.2022.2150555] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a rare, progressive multi-system neurodegenerative disorder. Its clinical presentation varies considerably leading to delays in diagnosis, which has dire consequences in a disease where early intervention is key to optimize outcomes and limit care giver burden. There are a range of diagnostic criteria available to aid ALS diagnosis, as well staging methods to assess disease progression. However, they all suffer from inter-rater variability, complexity, and confusion in use. Such difficulties, when medical appointment times are limited and becoming more virtually based, have the potential to amplify uncertainty and errors in ALS diagnosis and prognosis. This review provides a clinical overview of the best way to balance the needs of evidence-based medicine and the patient. We focus on ALS diagnostic criteria and staging systems currently in use in clinical practice and explore factors that could enhance diagnostic efficiency and assessment of disease progression.
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Affiliation(s)
- Angela Genge
- Clinical Research Unit, ALS Clinic, Montreal, Canada and
| | - Adriano Chio
- Rita Levi Montalcini Department of Neuroscience, University of Turin, Turin, Italy
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18
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Ashhurst JF, Tu S, Timmins HC, Kiernan MC. Progress, development, and challenges in amyotrophic lateral sclerosis clinical trials. Expert Rev Neurother 2022; 22:905-913. [PMID: 36543326 DOI: 10.1080/14737175.2022.2161893] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Amyotrophic Lateral Sclerosis (ALS) brings unique challenges to a clinical trial setting, due in part to relatively low disease prevalence coupled with a poor prognosis, in addition to the complexities linked to disease heterogeneity. As critical understanding of the disease develops, particularly in relation to clinical phenotype and the mechanisms of disease progression, so too new concepts evolve in relation to clinical trials, including the advent of precision therapy, targeted to subgroups of ALS patients. AREAS COVERED Individualized, or precision medicine in ALS recognizes the heterogeneous nature of the disease and utilizes information such as the clinical phenotype of the disease, clinical biomarkers, and genotyping to promote a tailored approach to treatment. Separate to these considerations, the present review will discuss clinical trial design and how this can be improved to better match patient and investigator needs in ALS clinical trials. EXPERT OPINION Precision therapy will promote a more focused treatment approach, with the goal of improving clinical outcomes for ALS patients. An increased community awareness of ALS, coupled with significant industry and philanthropic funding for ALS research, is accelerating this process.
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Affiliation(s)
| | - Sicong Tu
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - Hannah C Timmins
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - Matthew C Kiernan
- Brain and Mind Centre, University of Sydney, Camperdown, Australia.,Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia
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Shefner JM. Changing amyotrophic lateral sclerosis diagnostic criteria: Will it impact clinical trials? Muscle Nerve 2022; 66:377-379. [PMID: 35822531 DOI: 10.1002/mus.27676] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/05/2022] [Accepted: 07/08/2022] [Indexed: 12/14/2022]
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20
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de Jongh AD, Braun N, Weber M, van Es MA, Masrori P, Veldink JH, van Damme P, van den Berg LH, van Eijk RPA. Characterising ALS disease progression according to El Escorial and Gold Coast criteria. J Neurol Neurosurg Psychiatry 2022; 93:865-870. [PMID: 35654584 DOI: 10.1136/jnnp-2022-328823] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 05/20/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND The Gold Coast criteria (GCC) have been proposed as a means of selecting patients for amyotrophic lateral sclerosis (ALS) clinical trials. We aimed to characterise disease progression according to the GCC. METHODS Data from population-based ALS registries from the Netherlands and Belgium were analysed. The GCC additionally define ALS as lower motor neuron (LMN) dysfunction in ≥2 body regions without upper motor neuron dysfunction. Therefore, the revised El Escorial criteria (rEEC) were supplemented with a 'Gold Coast ALS' category for patients with only LMN dysfunction in ≥2 body regions. We assessed survival time, ALS Functional Rating Scale (ALSFRS-R) progression rates and between-patient variability per diagnostic category. RESULTS We included 5957 ALS patients, of whom 600 (10.1%) fulfilled the GCC but not the rEEC, and 95 (1.6%) fulfilled only the rEEC. ALSFRS-R progression rates were similar for the rEEC (0.84 points/month) and GCC (0.81 points/month) with similar variability (standard deviation of 0.59 vs. 0.60) and median survival time (17.8 vs.18.7 months). Survival time and average progression rates varied (p<0.001) between categories. Per category, however, there was considerable between-patient variability with progression rates ranging from: -2.10 to -0.14 (definite), -1.94 to -0.06 (probable), -2.10 to -0.02 (probable laboratory supported), -1.79 to -0.02 (possible) and -1.31 to 0.08 (Gold Coast). CONCLUSIONS The GCC broaden the definition of ALS, allowing more patients to participate in trials, while minimally impacting population heterogeneity. Given the large variability per diagnostic category, selecting only specific categories for trials may not result in a more homogeneous study population.
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Affiliation(s)
- Adriaan D de Jongh
- Department of Neurology, University Medical Center Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Nathalie Braun
- Neuromuscular Diseases Unit/ALS Clinic, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Markus Weber
- Neuromuscular Diseases Unit/ALS Clinic, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Michael A van Es
- Department of Neurology, University Medical Center Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Pegah Masrori
- Department of Neurosciences, Laboratory for Neurobiology, KU Leuven and Center for Brain & Disease Research, VIB, Leuven Brain Institute, Leuven, Belgium.,Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Jan H Veldink
- Department of Neurology, University Medical Center Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Philip van Damme
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Leonard H van den Berg
- Department of Neurology, University Medical Center Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Ruben P A van Eijk
- Department of Neurology, University Medical Center Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands .,Biostatistics & Research Support, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
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21
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Jewett G, Khayambashi S, Frost GS, Beland B, Lee A, Hodgkinson V, Korngut L, Chhibber S. Gold Coast criteria expand clinical trial eligibility in amyotrophic lateral sclerosis. Muscle Nerve 2022; 66:397-403. [PMID: 35673968 DOI: 10.1002/mus.27660] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/21/2022] [Accepted: 05/28/2022] [Indexed: 01/03/2023]
Abstract
INTRODUCTION/AIMS Consensus criteria to formalize the diagnosis of amyotrophic lateral sclerosis (ALS) and refine clinical trial populations have evolved. The recently proposed Gold Coast consensus criteria are intended to simplify use and increase sensitivity. We aimed to evaluate the potential impact of these criteria on clinical trial eligibility. METHODS We performed a single-center, retrospective study of people diagnosed with ALS between 2016 and 2021 to determine the numbers of those meeting Gold Coast, revised El Escorial (rEEC) criteria, and Awaji criteria. We identified the proportion of those who would have been eligible for participation in three major ALS clinical trials if Gold Coast were used in place of rEEC definite/probable criteria. (rEEC D/P). RESULTS Two hundred six people with ALS were included in our study. 48.5% met Gold Coast criteria but not rEEC D/P. Using the Gold Coast criteria would result in higher rates of clinical trial eligibility after other inclusion criteria were met: 95.2% vs 42.5% (P < .001) in a phase III study of riluzole; 100% vs 31.0% (P = .002) in a phase III study of edaravone; and 95.6% vs 45.3% (P < .001) in an ongoing phase III study of sodium phenylbutyrate and taurursodiol. The sensitivity of the Gold Coast criteria (96.1%; 95% confidence interval [CI], 92.2%-98.2%) was significantly higher than that of rEEC D/P (47.6%; 95% CI, 40.6%-54.6%; for difference, χ2 = 117.6; P < .001). DISCUSSION Until robust biomarkers are available to diagnose ALS, consensus diagnostic criteria remain necessary. Gold Coast criteria would expand research and clinical trial eligibility and improve external validity of clinical trial results.
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Affiliation(s)
- Gordon Jewett
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Shahin Khayambashi
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Geoffrey S Frost
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Benjamin Beland
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Angela Lee
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Victoria Hodgkinson
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Lawrence Korngut
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Sameer Chhibber
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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22
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Goutman SA, Hardiman O, Al-Chalabi A, Chió A, Savelieff MG, Kiernan MC, Feldman EL. Recent advances in the diagnosis and prognosis of amyotrophic lateral sclerosis. Lancet Neurol 2022; 21:480-493. [PMID: 35334233 PMCID: PMC9513753 DOI: 10.1016/s1474-4422(21)00465-8] [Citation(s) in RCA: 137] [Impact Index Per Article: 68.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 11/24/2021] [Accepted: 12/16/2021] [Indexed: 12/14/2022]
Abstract
The diagnosis of amyotrophic lateral sclerosis can be challenging due to its heterogeneity in clinical presentation and overlap with other neurological disorders. Diagnosis early in the disease course can improve outcomes as timely interventions can slow disease progression. An evolving awareness of disease genotypes and phenotypes and new diagnostic criteria, such as the recent Gold Coast criteria, could expedite diagnosis. Improved prognosis, such as that achieved with the survival model from the European Network for the Cure of ALS, could inform the patient and their family about disease course and improve end-of-life planning. Novel staging and scoring systems can help monitor disease progression and might potentially serve as clinical trial outcomes. Lastly, new tools, such as fluid biomarkers, imaging modalities, and neuromuscular electrophysiological measurements, might increase diagnostic and prognostic accuracy.
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Affiliation(s)
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, and Department of Neurology, King's College London, London, UK
| | - Adriano Chió
- Rita Levi Montalcini Department of Neurosciences, University of Turin, Turin, Italy
| | | | - Matthew C Kiernan
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia; Department of Neurology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Eva L Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA.
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23
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Suzuki YI, Shibuya K, Misawa S, Suichi T, Tsuneyama A, Kojima Y, Nakamura K, Kano H, Prado M, Kuwabara S. Fasciculation intensity and limb dominance in amyotrophic lateral sclerosis: a muscle ultrasonographic study. BMC Neurol 2022; 22:85. [PMID: 35277126 PMCID: PMC8915448 DOI: 10.1186/s12883-022-02617-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 03/07/2022] [Indexed: 11/10/2022] Open
Abstract
Background and purpose Muscle ultrasonography has been increasingly recognized as a useful tool for detection of fasciculations. Separately, concordance between dominant hand and onset side has been reported in amyotrophic lateral sclerosis (ALS). The aim of this study was to reveal the distribution of fasciculations in the whole body, focusing on handedness. Methods In 106 consecutive patients with ALS, muscle ultrasonography was systematically performed in 11 muscles (the tongue, and bilateral biceps brachii, 1st dorsal interosseous [FDI], T10-paraspinalis, vastus lateralis and tibialis anterior muscles). The fasciculation intensity was scored from 0 to 3 for each muscle. Results Fasciculations were more frequently found in the limb muscles than the tongue and paraspinalis. Side and handedness analyses revealed that fasciculation intensity in FDI was significantly more prominent on the right (median [inter-quartile range] 2 [0 - 3]) than left (1.5 [0 - 3]; p = 0.016), and in the dominant hand (2 [1 - 3]) than non-dominant side (1.5 [0 - 3]; p = 0.025). The differences were greater in patients with upper limb onset. There were no side differences in the lower limb muscles. Multivariate analyses showed that male patients had more frequent fasciculations in the dominant FDI (β = 0.22, p < 0.05). Conclusion More intensive fasciculations are present in the FDI in the dominant hand and gender might be associated with fasciculation intensities. This distribution pattern of fasciculations might be associated with pathogenesis of ALS.
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Müschen LH, Petri S, Körner S. Moderne Diagnosestellung der Amyotrophen Lateralsklerose –
ein Update der Diagnosekriterien. KLIN NEUROPHYSIOL 2022. [DOI: 10.1055/a-1676-2748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Die Diagnose der Amyotrophen Lateralsklerose ist weiterhin eine Herausforderung.
Sowohl die revidierten El-Escorial-Kriterien als auch die Awaji-Kriterien werden
zum Teil in der klinischen Praxis genutzt, sind jedoch komplex und wenig
sensitiv. Die neu vorgeschlagenen Gold-Coast-Kriterien stellen eine
Erleichterung im klinischen Alltag dar. Eine Veranschaulichung der
Diagnosefindung nach den verschiedenen Kriterien findet sich in dem
Fallbeispiel.
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25
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Bromberg MB. What Is in the Literature. J Clin Neuromuscul Dis 2022; 23:124-132. [PMID: 35188908 DOI: 10.1097/cnd.0000000000000399] [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: 06/14/2023]
Abstract
This issue of What Is in the Literature focuses on articles on amyotrophic lateral sclerosis over the past year. Amyotrophic lateral sclerosis remains a challenging disorder with progression to death. Within the past year, a phase 2 trial of a drug combination showed slowing in the rate of progression. While awaiting a phase 3 trial or approval by the Food and Drug Administration, selected articles that aid the diagnosis, contribute to care, or add to general knowledge about the disease are reviewed.
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Affiliation(s)
- Mark B Bromberg
- Department of Neurology, University of Utah, Salt Lake City, UT
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26
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Affiliation(s)
- Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford Medical Sciences Division, Oxford OX3 9DU, UK
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27
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Dengler R. Diagnostic criteria of ALS. Are the gold coast criteria the ultimate solution? Clin Neurophysiol 2021; 132:3177-3178. [PMID: 34654626 DOI: 10.1016/j.clinph.2021.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 09/15/2021] [Indexed: 10/20/2022]
Affiliation(s)
- Reinhard Dengler
- Department of Neurology, Hannover Medical School, Carl Neubergstr 1, 30623 Hannover, Germany.
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