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Raymond J, Nair T, Gwathmey KG, Larson T, Horton DK, Mehta P. Racial Disparities in the Diagnosis and Prognosis of ALS Patients in the United States. J Racial Ethn Health Disparities 2024:10.1007/s40615-024-02099-6. [PMID: 39060854 DOI: 10.1007/s40615-024-02099-6] [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: 01/04/2024] [Revised: 07/08/2024] [Accepted: 07/18/2024] [Indexed: 07/28/2024]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a progressive, fatal disease with largely unknown etiology. This study compares racial differences in clinical characteristics of ALS patients enrolled in the National ALS Registry (Registry). METHODS Data from ALS patients who completed the Registry's online clinical survey during 2013-2022 were analyzed to determine characteristics such as site of onset, associated symptoms, time of symptom onset to diagnosis, and pharmacological and non-pharmacological interventions for White, Black, and other race patients. RESULTS Surveys were completed by 4242 participants. Findings revealed that Black ALS patients were more likely to be diagnosed at a younger age, to have arm or hand initial site of onset, and to experience pneumonia than were White ALS patients. ALS patients of other races were more likely than White ALS patients to be diagnosed at a younger age and to experience twitching. The mean interval between the first sign of weakness and an ALS diagnosis for Black patients was almost 24 months, statistically greater than that of White (p = 0.0374; 16 months) and other race patients (p = 0.0518; 15.8 months). The mean interval between problems with speech until diagnosis was shorter for White patients (6.3 months) than for Black patients (17.7 months) and other race patients (14.8 months). CONCLUSIONS AND RELEVANCE Registry data shows racial disparities still exist in the diagnosis and clinical characteristics of ALS patients. Increased recruitment of non-White ALS patients and better characterization of symptom onset between races might aid clinicians in diagnosing ALS sooner, leading to earlier therapeutic interventions.
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Affiliation(s)
- Jaime Raymond
- Office of Analytics and Innovation, Agency for Toxic Substances and Disease Registry/Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA.
| | - Theresa Nair
- Office of Analytics and Innovation, Agency for Toxic Substances and Disease Registry/Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA
| | | | - Theodore Larson
- Office of Analytics and Innovation, Agency for Toxic Substances and Disease Registry/Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA
| | - D Kevin Horton
- Office of Analytics and Innovation, Agency for Toxic Substances and Disease Registry/Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA
| | - Paul Mehta
- Office of Analytics and Innovation, Agency for Toxic Substances and Disease Registry/Centers for Disease Control and Prevention, 4770 Buford Hwy, Atlanta, GA, 30341, USA
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2
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Goyal NA, Bonar K, Savic N, Beau Lejdstrom R, Wright J, Mellor J, McDermott C. Misdiagnosis of amyotrophic lateral sclerosis in clinical practice in Europe and the USA: a patient chart review and physician survey. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:16-25. [PMID: 37794794 DOI: 10.1080/21678421.2023.2260808] [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: 06/19/2023] [Accepted: 09/07/2023] [Indexed: 10/06/2023]
Abstract
OBJECTIVE Delays in amyotrophic lateral sclerosis (ALS) diagnosis can result in compromised disease management and unnecessary costs. We examined the extent of ALS misdiagnosis in the US and Europe. METHODS Data were collected via the Adelphi ALS Disease Specific Programme™, a cross-sectional survey of physicians and a medical chart review of their consulting patients with ALS in France, Germany, Italy, Spain, the UK (EU5), and the US. Between July 2020 and March 2021, eligible physicians (primary speciality neurology, active involvement in managing patients with ALS) abstracted data from patients (≥18 years old) with confirmed ALS. RESULTS Overall, 138 physicians completed the survey (EU5 107, US 31), with data reviewed from 795 patient medical charts (EU5 568, US 227); 278 (35.0%) patients (EU5 183 [32.2%], US 95 [41.9%]) had received ≥1 initial misdiagnosis based on symptoms later attributed to ALS. Mean (SD) time from symptom onset to first healthcare professional consultation was 3.8 (5.2) months (EU5 4.3 [4.8] months, US 2.6 [5.8] months). Mean (SD) time from symptom onset to ALS diagnosis was 8.2 (12.5) months (EU5 9.6 [14.0] months, US 5.0 [6.8] months) and increased to 10.4 (17.9) for patients with a misdiagnosis (compared with 6.9 [7.2] for patients with no misdiagnosis). Physician-identified barriers to timely ALS diagnosis included the similarity of symptoms to other conditions and delayed referral to neurologists. CONCLUSIONS Misdiagnosis of ALS is frequent, with a protracted diagnostic pathway. Targeted education of patients and physicians about signs and symptoms and benefits of prompt referral to multidisciplinary care are needed.
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Affiliation(s)
- Namita A Goyal
- Department of Neurology, UC Irvine MDA-ALS and Neuromuscular Center, University of California, Irvine, USA
| | | | | | | | | | | | - Christopher McDermott
- Department of Neurology, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
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3
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Gwathmey KG, Corcia P, McDermott CJ, Genge A, Sennfält S, de Carvalho M, Ingre C. Diagnostic delay in amyotrophic lateral sclerosis. Eur J Neurol 2023; 30:2595-2601. [PMID: 37209406 DOI: 10.1111/ene.15874] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 05/11/2023] [Accepted: 05/15/2023] [Indexed: 05/22/2023]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a progressive, fatal neurodegenerative disease, and the time from symptom onset to diagnosis remains long. With the advent of disease-modifying treatments, the need to identify and diagnose ALS in a timely fashion has never been greater. METHODS We reviewed the literature to define the severity of ALS diagnostic delay, the various factors that contribute to this delay (including patient and physician factors), and the role that site of symptom onset plays in a patient's diagnostic journey. RESULTS Diagnostic delay is influenced by general practitioners' lack of recognition of ALS due to disease rarity and heterogenous presentations. As a result, patients are referred to non-neurologists, have unnecessary diagnostic testing, and may ultimately be misdiagnosed. Patient factors include their illness behavior-which impacts diagnostic delay-and their site of symptom onset. Limb-onset patients have the greatest diagnostic delay because they are frequently misdiagnosed with degenerative spine disease or peripheral neuropathy. CONCLUSION Prompt ALS diagnosis results in more effective clinical management, with earlier access to disease-modifying therapies, multidisciplinary care, and, if desired, clinical trial involvement. Due to lack of commercially available ALS biomarkers, alternative strategies to identify and triage patients who likely have ALS must be employed. Several diagnostic tools have been developed to encourage general practitioners to consider ALS and make an urgent referral to ALS specialists, bypassing unnecessary referrals to non-neurologists and unnecessary diagnostic workup.
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Affiliation(s)
- Kelly G Gwathmey
- Department of Neurology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Philippe Corcia
- CRMR SLA, CHU Tours, Tours, France
- UMR1253 iBrain UMR, Université de Tours, INSERM, Tours, France
| | - Chris J McDermott
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Angela Genge
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Stefan Sennfält
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Mamede de Carvalho
- Institute of Physiology, Instituto de Medicina Molecular João Lobo Antunes, Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
- Department of Neurosciences and Mental Health, Hospital de Santa Maria, Centro Hospitalar Universitário de Lisboa-Norte, Lisbon, Portugal
| | - Caroline Ingre
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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4
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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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5
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Sturmey E, Malaspina A. Blood biomarkers in ALS: challenges, applications and novel frontiers. Acta Neurol Scand 2022; 146:375-388. [PMID: 36156207 PMCID: PMC9828487 DOI: 10.1111/ane.13698] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 08/15/2022] [Accepted: 08/19/2022] [Indexed: 01/12/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is the most common motor neuron disease among adults. With diagnosis reached relatively late into the disease process, extensive motor cell loss narrows the window for therapeutic opportunities. Clinical heterogeneity in ALS and the lack of disease-specific biomarkers have so far led to large-sized clinical trials with long follow-up needed to define clinical outcomes. In advanced ALS patients, there is presently limited scope to use imaging or invasive cerebrospinal fluid (CSF) collection as a source of disease biomarkers. The development of more patient-friendly and accessible blood biomarker assays is hampered by analytical hurdles like the matrix effect of blood components. However, blood also provides the opportunity to identify disease-specific adaptive changes of the stoichiometry and conformation of target proteins and the endogenous immunological response to low-abundance brain peptides, such as neurofilaments (Nf). Among those biomarkers under investigation in ALS, the change in concentration before or after diagnosis of Nf has been shown to aid prognostication and to allow the a priori stratification of ALS patients into smaller sized and clinically more homogeneous cohorts, supporting more affordable clinical trials. Here, we discuss the technical hurdles affecting reproducible and sensitive biomarker measurement in blood. We also summarize the state of the art of non-CSF biomarkers in the study of prognosis, disease progression, and treatment response. We will then address the potential as disease-specific biomarkers of the newly discovered cryptic peptides which are formed down-stream of TDP-43 loss of function, the hallmark of ALS pathobiology.
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Affiliation(s)
- Ellie Sturmey
- Centre of Neuroscience, Surgery and Trauma, Queen Mary University of London, London, UK
| | - Andrea Malaspina
- Centre of Neuroscience, Surgery and Trauma, Queen Mary University of London, London, UK.,Queen Square Institute of Neurology, University College London, London, UK
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6
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De Schaepdryver M, Masrori P, Van Damme P, Poesen K. Effect of neurofilament analysis on the diagnostic delay in amyotrophic lateral sclerosis. CNS Neurosci Ther 2022; 29:70-77. [PMID: 36047371 PMCID: PMC9804063 DOI: 10.1111/cns.13960] [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: 02/13/2022] [Revised: 08/14/2022] [Accepted: 08/18/2022] [Indexed: 02/06/2023] Open
Abstract
AIMS The aim of this study was to investigate whether neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH) in cerebrospinal fluid (CSF), sampled prior to referral to a neuromuscular reference center (NMRC), shorten the diagnostic delay in patients with amyotrophic lateral sclerosis. METHODS In this retrospective study, patients with ALS were included with (i) determination of neurofilaments (Nfs) before referral to the NMRC (preC-Nfs ALS, n = 58), (ii) determination of Nfs at the NMRC (C-Nfs, n = 54) or (iii) with no determination of Nfs (C-No Nfs, n = 180). Fifty-six disease controls were included. RESULTS The preC-Nfs cohort had CSF sampled 2.2 months (range: 0.6-12.0 months) before referral to the NMRC. In this cohort, the diagnostic delay was significantly shorter [median (range): 8.24 (2.37-49.7) months] than in the C-Nfs cases [median (range): 11.4 (2.93-86.5) months; p < 0.05], but not in the C-No Nfs cases. When including the disease progression rate and the presence of a genetic mutation as covariates, the difference ceased to exist (p = 0.14). pNfH and NfL levels in the preC-Nfs cohort were significantly higher than in disease controls (p < 0.0001). Both Nfs showed a similar discriminating performance. CONCLUSIONS CSF Nfs assessed before the diagnosis of ALS at a NMRC decreased the diagnostic delay in specific cases by 3 months and only when other covariates were not taken into account.
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Affiliation(s)
- Maxim De Schaepdryver
- Laboratory for Molecular Neurobiomarker Research, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Pegah Masrori
- Laboratory of NeurobiologyCenter for Brain & Disease Research, VIBLeuvenBelgium,Department of NeurologyUniversity Hospitals LeuvenLeuvenBelgium,Experimental Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Philip Van Damme
- Laboratory of NeurobiologyCenter for Brain & Disease Research, VIBLeuvenBelgium,Department of NeurologyUniversity Hospitals LeuvenLeuvenBelgium,Experimental Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Koen Poesen
- Laboratory for Molecular Neurobiomarker Research, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium,Laboratory MedicineUniversity Hospitals LeuvenLeuvenBelgium
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7
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Teplansky KJ, Wisler A, Green JR, Campbell T, Heitzman D, Austin SG, Wang J. Tongue and Lip Acceleration as a Measure of Speech Decline in Amyotrophic Lateral Sclerosis. Folia Phoniatr Logop 2022; 75:23-34. [PMID: 35760064 PMCID: PMC9792632 DOI: 10.1159/000525514] [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: 09/08/2021] [Accepted: 06/02/2022] [Indexed: 01/22/2023] Open
Abstract
PURPOSE The goal of this study was to examine the efficacy of acceleration-based articulatory measures in characterizing the decline in speech motor control due to amyotrophic lateral sclerosis (ALS). METHOD Electromagnetic articulography was used to record tongue and lip movements during the production of 20 phrases. Data were collected from 50 individuals diagnosed with ALS. Articulatory kinematic variability was measured using the spatiotemporal index of both instantaneous acceleration and speed signals. Linear regression models were used to analyze the relationship between variability measures and intelligible speaking rate (a clinical measure of disease progression). A machine learning algorithm (support vector regression, SVR) was used to assess whether acceleration or speed features (e.g., mean, median, maximum) showed better performance at predicting speech severity in patients with ALS. RESULTS As intelligible speaking rate declined, the variability of acceleration of tongue and lip movement patterns significantly increased (p < 0.001). The variability of speed and vertical displacement did not significantly predict speech performance measures. Additionally, based on R2 and root mean square error (RMSE) values, the SVR model was able to predict speech severity more accurately from acceleration features (R2 = 0.601, RMSE = 38.453) and displacement features (R2 = 0.218, RMSE = 52.700) than from speed features (R2 = 0.554, RMSE = 40.772). CONCLUSION Results from these models highlight differences in speech motor control in participants with ALS. The variability in acceleration of tongue and lip movements increases as speech performance declines, potentially reflecting physiological deviations due to the progression of ALS. Our findings suggest that acceleration is a more sensitive indicator of speech deterioration due to ALS than displacement and speed and may contribute to improved algorithm designs for monitoring disease progression from speech signals.
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Affiliation(s)
- Kristin J Teplansky
- Speech, Language, and Hearing Sciences, University of Texas, Austin, Texas, USA,
| | - Alan Wisler
- Mathematics and Statistics, Utah State University, Logan, Utah, USA
| | - Jordan R Green
- Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, Massachusetts, USA
- Speech and Hearing Bioscience and Technology Program, Harvard University, Boston, Massachusetts, USA
| | - Thomas Campbell
- Callier Center for Communication Disorders, University of Texas at Dallas, Dallas, Texas, USA
| | | | - Sara G Austin
- Neurology, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Jun Wang
- Speech, Language, and Hearing Sciences, University of Texas, Austin, Texas, USA
- Neurology, Dell Medical School, University of Texas, Austin, Texas, USA
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8
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Zecca C, Dell'Abate MT, Pasculli G, Capozzo R, Barone R, Arima S, Pollice A, Brescia V, Tortelli R, Logroscino G. Role of plasma phosphorylated neurofilament heavy chain (pNfH) in amyotrophic lateral sclerosis. J Cell Mol Med 2022; 26:3608-3615. [PMID: 35715961 PMCID: PMC9258711 DOI: 10.1111/jcmm.17232] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 01/14/2022] [Accepted: 01/18/2022] [Indexed: 11/26/2022] Open
Abstract
The phosphorylated neurofilament heavy chain (pNfH) is a promising biomarker in amyotrophic lateral sclerosis (ALS). We examined plasma pNfH concentrations in order to corroborate its role as a diagnostic and prognostic biomarker in ALS. Incident ALS cases enrolled in a population‐based registry were retrospectively selected and matched by sex and age with a cohort of healthy volunteers. Plasma pNfH levels were measured by an ELISA kit and correlated with clinical parameters. Discrimination ability of pNfH was tested using receiving operating characteristic (ROC) curves. Kaplan–Meier (KM) analysis and Cox proportional hazard models were used for survival analysis. Plasma pNfH was significantly higher in patients compared to controls. An optimal cut‐off of 39.74 pg/ml discriminated cases from controls with an elevated sensitivity and specificity. Bulbar‐onset cases had higher plasma pNfH compared to spinal onset (p = 0.0033). Furthermore, plasma pNfH positively correlated with disease progression rate (r = 0.19, p = 0.031). Baseline plasma pNfH did not influence survival in our cohort. Our findings confirmed the potential utility of plasma pNfH as a diagnostic biomarker in ALS. However, further studies with longitudinal data are needed to corroborate its prognostic value.
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Affiliation(s)
- Chiara Zecca
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari "Aldo Moro" at "Pia Fondazione Card G. Panico" Hospital Tricase, Lecce, Italy
| | - Maria Teresa Dell'Abate
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari "Aldo Moro" at "Pia Fondazione Card G. Panico" Hospital Tricase, Lecce, Italy
| | - Giuseppe Pasculli
- Department of Computer, Control, and Management Engineering Antonio Ruberti (DIAG) La Sapienza University, Rome, Italy
| | - Rosa Capozzo
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari "Aldo Moro" at "Pia Fondazione Card G. Panico" Hospital Tricase, Lecce, Italy
| | - Roberta Barone
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari "Aldo Moro" at "Pia Fondazione Card G. Panico" Hospital Tricase, Lecce, Italy
| | - Serena Arima
- Department of History, Society and Human Studies, University of Salento, Lecce, Italy
| | - Alessio Pollice
- Department of Economics and Finance, University of Bari "Aldo Moro", Lecce, Italy
| | - Vincenzo Brescia
- Unit of Laboratory Medicine, "Pia Fondazione Card.G. Panico" Hospital, Lecce, Italy
| | - Rosanna Tortelli
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari "Aldo Moro" at "Pia Fondazione Card G. Panico" Hospital Tricase, Lecce, Italy
| | - Giancarlo Logroscino
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari "Aldo Moro" at "Pia Fondazione Card G. Panico" Hospital Tricase, Lecce, Italy.,Department of Basic Medicine Sciences, Neuroscience, and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
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9
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Gianferrari G, Martinelli I, Zucchi E, Simonini C, Fini N, Vinceti M, Ferro S, Gessani A, Canali E, Valzania F, Sette E, Pugliatti M, Tugnoli V, Zinno L, Stano S, Santangelo M, De Pasqua S, Terlizzi E, Guidetti D, Medici D, Salvi F, Liguori R, Vacchiano V, Casmiro M, Querzani P, Currò Dossi M, Patuelli A, Morresi S, Longoni M, De Massis P, Rinaldi R, Borghi A, Amedei A, Mandrioli J. Epidemiological, Clinical and Genetic Features of ALS in the Last Decade: A Prospective Population-Based Study in the Emilia Romagna Region of Italy. Biomedicines 2022; 10:biomedicines10040819. [PMID: 35453569 PMCID: PMC9031824 DOI: 10.3390/biomedicines10040819] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/22/2022] [Accepted: 03/28/2022] [Indexed: 12/12/2022] Open
Abstract
Increased incidence rates of amyotrophic lateral sclerosis (ALS) have been recently reported across various Western countries, although geographic and temporal variations in terms of incidence, clinical features and genetics are not fully elucidated. This study aimed to describe demographic, clinical feature and genotype–phenotype correlations of ALS cases over the last decade in the Emilia Romagna Region (ERR). From 2009 to 2019, our prospective population-based registry of ALS in the ERR of Northern Italy recorded 1613 patients receiving a diagnosis of ALS. The age- and sex-adjusted incidence rate was 3.13/100,000 population (M/F ratio: 1.21). The mean age at onset was 67.01 years; women, bulbar and respiratory phenotypes were associated with an older age, while C9orf72-mutated patients were generally younger. After peaking at 70–75 years, incidence rates, among women only, showed a bimodal distribution with a second slight increase after reaching 90 years of age. Familial cases comprised 12%, of which one quarter could be attributed to an ALS-related mutation. More than 70% of C9orf72-expanded patients had a family history of ALS/fronto-temporal dementia (FTD); 22.58% of patients with FTD at diagnosis had C9orf72 expansion (OR 6.34, p = 0.004). In addition to a high ALS incidence suggesting exhaustiveness of case ascertainment, this study highlights interesting phenotype–genotype correlations in the ALS population of ERR.
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Affiliation(s)
- Giulia Gianferrari
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (G.G.); (M.V.); (J.M.)
| | - Ilaria Martinelli
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, 41125 Modena, Italy; (E.Z.); (C.S.); (N.F.); (A.G.)
- Clinical and Experimental Medicine Ph.D. Program, University of Modena and Reggio Emilia, 41125 Modena, Italy
- Correspondence: ; Tel.: +39-05-9396-1640; Fax: +39-05-9396-3775
| | - Elisabetta Zucchi
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, 41125 Modena, Italy; (E.Z.); (C.S.); (N.F.); (A.G.)
| | - Cecilia Simonini
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, 41125 Modena, Italy; (E.Z.); (C.S.); (N.F.); (A.G.)
| | - Nicola Fini
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, 41125 Modena, Italy; (E.Z.); (C.S.); (N.F.); (A.G.)
| | - Marco Vinceti
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (G.G.); (M.V.); (J.M.)
- Department of Science of Public Health, Research Centre in Environmental, Genetic and Nutritional Epidemiology, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Salvatore Ferro
- Department of Hospital Services, Emilia Romagna Regional Health Authority, 40127 Bologna, Italy;
| | - Annalisa Gessani
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, 41125 Modena, Italy; (E.Z.); (C.S.); (N.F.); (A.G.)
| | - Elena Canali
- Neurology Unit, Arcispedale Santa Maria Nuova, AUSL-IRCCS Reggio Emilia, 42123 Reggio Emilia, Italy; (E.C.); (F.V.)
| | - Franco Valzania
- Neurology Unit, Arcispedale Santa Maria Nuova, AUSL-IRCCS Reggio Emilia, 42123 Reggio Emilia, Italy; (E.C.); (F.V.)
| | - Elisabetta Sette
- Department of Neuroscience and Rehabilitation, St. Anna Hospital, 44124 Ferrara, Italy; (E.S.); (M.P.); (V.T.)
| | - Maura Pugliatti
- Department of Neuroscience and Rehabilitation, St. Anna Hospital, 44124 Ferrara, Italy; (E.S.); (M.P.); (V.T.)
- Department of Neuroscience and Rehabilitation, University of Ferrara, 44121 Ferrara, Italy
| | - Valeria Tugnoli
- Department of Neuroscience and Rehabilitation, St. Anna Hospital, 44124 Ferrara, Italy; (E.S.); (M.P.); (V.T.)
| | - Lucia Zinno
- Department of Neuroscience, University of Parma, 43121 Parma, Italy; (L.Z.); (S.S.)
| | - Salvatore Stano
- Department of Neuroscience, University of Parma, 43121 Parma, Italy; (L.Z.); (S.S.)
| | - Mario Santangelo
- Department of Neurology, Carpi Hospital, 41014 Modena, Italy; (M.S.); (S.D.P.)
| | - Silvia De Pasqua
- Department of Neurology, Carpi Hospital, 41014 Modena, Italy; (M.S.); (S.D.P.)
| | - Emilio Terlizzi
- Department of Neurology, G. Da Saliceto Hospital, 29121 Piacenza, Italy; (E.T.); (D.G.)
| | - Donata Guidetti
- Department of Neurology, G. Da Saliceto Hospital, 29121 Piacenza, Italy; (E.T.); (D.G.)
| | - Doriana Medici
- Department of Neurology, Fidenza Hospital, 43036 Parma, Italy;
| | - Fabrizio Salvi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bellaria Hospital, 40139 Bologna, Italy;
| | - Rocco Liguori
- Dipartimento di Scienze Biomediche e Neuromotorie, University of Bologna and IRCCS Istituto delle Scienze Neurologiche di Bologna, Bellaria Hospital, 40139 Bologna, Italy; (R.L.); (V.V.)
| | - Veria Vacchiano
- Dipartimento di Scienze Biomediche e Neuromotorie, University of Bologna and IRCCS Istituto delle Scienze Neurologiche di Bologna, Bellaria Hospital, 40139 Bologna, Italy; (R.L.); (V.V.)
| | - Mario Casmiro
- Department of Neurology, Faenza and Ravenna Hospital, 48121 Ravenna, Italy; (M.C.); (P.Q.)
| | - Pietro Querzani
- Department of Neurology, Faenza and Ravenna Hospital, 48121 Ravenna, Italy; (M.C.); (P.Q.)
| | - Marco Currò Dossi
- Department of Neurology, Infermi Hospital, 47923 Rimini, Italy; (M.C.D.); (M.L.)
| | - Alberto Patuelli
- Department of Neurology and Stroke Unit, “Morgagni-Pierantoni” Hospital, 47121 Forlì, Italy;
| | - Simonetta Morresi
- Department of Neurology and Stroke Unit, Bufalini Hospital, 47521 Cesena, Italy;
| | - Marco Longoni
- Department of Neurology, Infermi Hospital, 47923 Rimini, Italy; (M.C.D.); (M.L.)
- Department of Neurology and Stroke Unit, Bufalini Hospital, 47521 Cesena, Italy;
| | | | - Rita Rinaldi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Interaziendale Clinica Neurologica Metropolitana (NeuroMet), 40139 Bologna, Italy;
| | - Annamaria Borghi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Department of Neurology and Stroke Center, Maggiore Hospital, 40133 Bologna, Italy;
| | | | - Amedeo Amedei
- Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy;
- SOD of Interdisciplinary Internal Medicine, Azienda Ospedaliera Universitaria Careggi (AOUC), 50134 Florence, Italy
| | - Jessica Mandrioli
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (G.G.); (M.V.); (J.M.)
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, 41125 Modena, Italy; (E.Z.); (C.S.); (N.F.); (A.G.)
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