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Abstract
The cause of amyotrophic lateral sclerosis (ALS) remains unknown for most of the patients with the disease. Epidemiologic studies can help describe disease burden and examine its potential risk factors, providing thereby evidence base for future mechanistic studies. With this review, we aimed to provide a summary of epidemiologic studies published during the past 18 months, which studied the incidence and risk factors for ALS.
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Xu L, Chen L, Wang S, Feng J, Liu L, Liu G, Wang J, Zhan S, Gao P, Fan D. Incidence and prevalence of amyotrophic lateral sclerosis in urban China: a national population-based study. J Neurol Neurosurg Psychiatry 2020; 91:520-525. [PMID: 32139654 DOI: 10.1136/jnnp-2019-322317] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/30/2020] [Accepted: 01/30/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Amyotrophic lateral sclerosis (ALS) is a severe neurodegenerative disease and information on disease burden of ALS in mainland China was limited. We aimed to estimate the prevalence and incidence of ALS in China. METHODS We used 2012-2016 data from China's Urban Employee Basic Medical Insurance and Urban Residence Basic Medical Insurance, covering approximately 0.43 billion individuals. ALS cases were identified by the primary diagnosis (International Classification of Diseases code or text of diagnosis) in the insurance database. RESULTS The crude prevalence and incidence in 2016 were 2.91 per 100 000 person-years (95% CI 2.31 to 3.58) and 1.65 (95% CI 1.33 to 2.01), respectively. The standardised prevalence and incidence based on 2010 Chinese census data were 2.97 (95% CI 2.91 to 3.03) and 1.62 (95% CI 1.58 to 1.67), respectively. The annual prevalence between 2013 and 2016 remained relatively constant, ranging from 2.91 (95% CI 2.31 to 3.58) in 2016 to 3.29 (95% CI 2.51 to 4.17) in 2014 (linear regression: β=-0.129, p=0.104). Both rates peaked in the group aged 75-79 years. CONCLUSIONS The prevalence and incidence of ALS in mainland China were lower than those in developed countries, and maintained a relatively stable trend. The age at onset and age at diagnosis for ALS patients were younger than those in developed countries. Further research is expected to clarify the potential pathophysiological mechanism of ALS.
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Affiliation(s)
- Lu Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Lu Chen
- Department of Neurology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing 100191, China
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Jingnan Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Lili Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Guozhen Liu
- Peking University Health Information Technology Co. Ltd, 52 North Fourth Ring West Road, Haidian District, Beijing 100080, China
| | - Jinxi Wang
- Beijing Healthcom Data Technology Co. Ltd, 18 Fengtai North Road, Fengtai District, Beijing 100071, China
| | - Siyan Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China .,Research Center of Clinical Epidemiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing 100191, China
| | - Pei Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing 100191, China
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Brunet A, Stuart-Lopez G, Burg T, Scekic-Zahirovic J, Rouaux C. Cortical Circuit Dysfunction as a Potential Driver of Amyotrophic Lateral Sclerosis. Front Neurosci 2020; 14:363. [PMID: 32410944 PMCID: PMC7201269 DOI: 10.3389/fnins.2020.00363] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 03/25/2020] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease that affects selected cortical and spinal neuronal populations, leading to progressive paralysis and death. A growing body of evidences suggests that the disease may originate in the cerebral cortex and propagate in a corticofugal manner. In particular, transcranial magnetic stimulation studies revealed that ALS patients present with early cortical hyperexcitability arising from a combination of increased excitability and decreased inhibition. Here, we discuss the possibility that initial cortical circuit dysfunction might act as the main driver of ALS onset and progression, and review recent functional, imaging and transcriptomic studies conducted on ALS patients, along with electrophysiological, pathological and transcriptomic studies on animal and cellular models of the disease, in order to evaluate the potential cellular and molecular origins of cortical hyperexcitability in ALS.
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Affiliation(s)
| | | | | | | | - Caroline Rouaux
- INSERM UMR_S 1118, Mécanismes Centraux et Périphériques de la Neurodégénérescence, Faculté de Médecine, Université de Strasbourg, Strasbourg, France
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Palese F, Pisa FE. Validation of discharge diagnosis coding for amyotrophic lateral sclerosis in an Italian regional healthcare database. Amyotroph Lateral Scler Frontotemporal Degener 2020; 21:428-434. [PMID: 32321310 DOI: 10.1080/21678421.2020.1752245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Objectives: (a) to estimate the accuracy of International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code for amyotrophic lateral sclerosis (ALS) in the Hospital Discharge Database (HDD) of the Italian region Friuli-Venezia Giulia; (b) to identify the predictors of a true positive ALS code; (c) to compare incident and prevalent cases obtained from HDD with those identified in a retrospective population-based study. Methods: Records of all patients discharged 2010-2014 with an ICD-9-CM code for ALS and other motor neuron diseases were extracted from the HDD. For each record, all the available clinical documentation was evaluated to confirm or reject the diagnosis of ALS. ALS incident and prevalent cases were identified. Validity measures were calculated both overall and stratified by patient and hospitalization characteristics. Adjusted odds ratio (aOR), with 95% confidence interval (95%CI), of a true positive code was estimated using unconditional logistic regression. Results: ALS code had sensitivity 92.9%, specificity 75.3%, positive predictive value (PPV) 92.3%, and negative predictive value (NPV) 76.8%. A true positive ALS code was predicted by concurrent codes for respiratory interventions (aOR: 3.82; 95%CI: 2.09-6.99), primary position code (2.78; 1.68-4.62), non-programed hospitalization (2.06; 1.18-3.61), male patient (1.56; 1.06-2.29), and hospitalization length <14 days (1.42; 1.07-2.84). Two hundred and thirty-six prevalent and 187 incident cases were identified, 84% of those detected in the population-based study. Conclusion: ALS code shows very good accuracy and identifies a high percentage of true positive, incident and prevalent cases, but additional sources and an algorithm based on selected variables may further improve case identification.
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Affiliation(s)
| | - Federica Edith Pisa
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
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Filippini T, Tesauro M, Fiore M, Malagoli C, Consonni M, Violi F, Iacuzio L, Arcolin E, Oliveri Conti G, Cristaldi A, Zuccarello P, Zucchi E, Mazzini L, Pisano F, Gagliardi I, Patti F, Mandrioli J, Ferrante M, Vinceti M. Environmental and Occupational Risk Factors of Amyotrophic Lateral Sclerosis: A Population-Based Case-Control Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17082882. [PMID: 32331298 PMCID: PMC7216189 DOI: 10.3390/ijerph17082882] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 04/10/2020] [Accepted: 04/20/2020] [Indexed: 12/20/2022]
Abstract
Objectives: Amyotrophic lateral sclerosis (ALS) is a progressive and fatal neurodegenerative disease with still unknown etiology. We aimed at investigating the association between environmental and occupational factors with ALS risk. Methods: We performed a population-based case-control study in four Italian provinces (Catania, Modena, Novara, and Reggio Emilia) by administration of tailored questionnaires to ALS cases (n = 95) and randomly selected population referents (n = 135). We estimated ALS risk by calculating the odds ratio (OR) with its 95% confidence interval (CI) using an unconditional logistic regression model. Results: We found a positive association with disease risk for history of occupation in the agricultural sector (OR = 2.09, 95% CI 0.79-7.54), especially for longer than 10 years (OR = 2.72, 95% 1.02-7.20). Overall occupational exposure to solvents also suggested a positive association, especially for thinners (OR = 2.27, 95% CI 1.14-4.54) and paint removers (OR = 2.01, 95% CI 0.90-4.48). Both occupational and environmental exposure to electromagnetic fields show a slightly increased risk with OR = 1.69 (95% CI 0.70-4.09) and 2.41 (95% CI 1.13-5.12), respectively. Occupational but not environmental exposure to pesticides (OR = 1.22, 95% CI 0.63-2.37), particularly fungicides, and exposure to metals (OR = 4.20, 95% CI 1.88-9.38), particularly lead, mercury, and selenium, showed an imprecise but positive association. Finally, there was an indication of increased risk for living in proximity to water bodies. Conclusions: Despite the caution that needs to be used due to some study limitations, such as the low number of exposed subjects and the possibility of recall bias, these results suggest the potential role of some environmental and occupational factors in ALS etiology.
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Affiliation(s)
- Tommaso Filippini
- CREAGEN-Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (C.M.); (F.V.); (L.I.); (E.A.); (M.V.)
- Correspondence:
| | - Marina Tesauro
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy; (M.T.); (M.C.)
| | - Maria Fiore
- Department of Medical, Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Catania University, 95123 Catania, Italy; (M.F.); (G.O.C.); (A.C.); (P.Z.); (F.P.); (M.F.)
| | - Carlotta Malagoli
- CREAGEN-Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (C.M.); (F.V.); (L.I.); (E.A.); (M.V.)
| | - Michela Consonni
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy; (M.T.); (M.C.)
| | - Federica Violi
- CREAGEN-Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (C.M.); (F.V.); (L.I.); (E.A.); (M.V.)
- Azienda USL-IRCCS di Reggio Emilia, 42122 Reggio Emilia, Italy
| | - Laura Iacuzio
- CREAGEN-Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (C.M.); (F.V.); (L.I.); (E.A.); (M.V.)
- Department of Public Health, Local Health Unit, 41121 Modena, Italy
| | - Elisa Arcolin
- CREAGEN-Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (C.M.); (F.V.); (L.I.); (E.A.); (M.V.)
| | - Gea Oliveri Conti
- Department of Medical, Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Catania University, 95123 Catania, Italy; (M.F.); (G.O.C.); (A.C.); (P.Z.); (F.P.); (M.F.)
| | - Antonio Cristaldi
- Department of Medical, Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Catania University, 95123 Catania, Italy; (M.F.); (G.O.C.); (A.C.); (P.Z.); (F.P.); (M.F.)
| | - Pietro Zuccarello
- Department of Medical, Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Catania University, 95123 Catania, Italy; (M.F.); (G.O.C.); (A.C.); (P.Z.); (F.P.); (M.F.)
| | - Elisabetta Zucchi
- Neurology Unit, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy;
| | - Letizia Mazzini
- ALS Centre Department of Neurology, ‘Maggiore della Carità’ University Hospital, 28100 Novara, Italy; (L.M.); (I.G.)
| | - Fabrizio Pisano
- Neurological Rehabilitation Division, Policlinico San Marco di Zingonia, 24046 Zingonia (BG), Italy;
| | - Ileana Gagliardi
- ALS Centre Department of Neurology, ‘Maggiore della Carità’ University Hospital, 28100 Novara, Italy; (L.M.); (I.G.)
| | - Francesco Patti
- Department of Medical, Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Catania University, 95123 Catania, Italy; (M.F.); (G.O.C.); (A.C.); (P.Z.); (F.P.); (M.F.)
| | - Jessica Mandrioli
- Neurology Unit, Department of Neuroscience, S. Agostino Estense Hospital, Azienda Ospedaliero Universitaria di Modena, 41126 Modena, Italy;
| | - Margherita Ferrante
- Department of Medical, Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Catania University, 95123 Catania, Italy; (M.F.); (G.O.C.); (A.C.); (P.Z.); (F.P.); (M.F.)
| | - Marco Vinceti
- CREAGEN-Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (C.M.); (F.V.); (L.I.); (E.A.); (M.V.)
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
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Ingre C, Chen L, Zhan Y, Termorshuizen J, Yin L, Fang F. Lipids, apolipoproteins, and prognosis of amyotrophic lateral sclerosis. Neurology 2020; 94:e1835-e1844. [PMID: 32221024 PMCID: PMC7274849 DOI: 10.1212/wnl.0000000000009322] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Accepted: 11/07/2019] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVE To determine whether lipids and apolipoproteins predict prognosis of patients with amyotrophic lateral sclerosis in a cohort study of 99 patients with amyotrophic lateral sclerosis who were diagnosed during 2015 to 2018 and followed up until October 31, 2018, at the Neurology Clinic in Karolinska University Hospital in Stockholm, Sweden. METHODS Total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, apolipoprotein AI, apolipoprotein B, and lipid ratios were measured at the time of amyotrophic lateral sclerosis diagnosis or shortly thereafter. Death after amyotrophic lateral sclerosis diagnosis was used as the main outcome. The Cox model was used to estimate hazard ratios with 95% confidence intervals of death after amyotrophic lateral sclerosis diagnosis, after controlling for sex, age at diagnosis, site of symptom onset, diagnostic delay, body mass index, Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised score, and progression rate. RESULTS A 1-SD increase of total cholesterol (hazard ratio 0.60, 95% confidence interval 0.41-0.89, p = 0.01), low-density lipoprotein cholesterol (hazard ratio 0.64, 95% confidence interval 0.44-0.92, p = 0.02), low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio (hazard ratio 0.65, 95% confidence interval 0.46-0.92, p = 0.02), apolipoprotein B (hazard ratio 0.62, 95% confidence interval 0.44-0.88, p = 0.01), or apolipoprotein B/apolipoprotein AI ratio (hazard ratio 0.61, 95% confidence interval 0.43-0.86, p < 0.01) was associated with a lower risk of death after amyotrophic lateral sclerosis diagnosis. A dose-response relationship was also noted when these biomarkers were analyzed as categorical variables. CONCLUSIONS Lipids and apolipoproteins are important prognostic indicators for amyotrophic lateral sclerosis and should be monitored at the diagnosis of amyotrophic lateral sclerosis.
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Affiliation(s)
- Caroline Ingre
- From the Department of Clinical Neuroscience (C.I.), and Department of Medical Epidemiology and Biostatistics (L.C., Y.Z., J.T., L.Y., F.F.), Karolinska Institutet; and Neurology Clinic (C.I.), Karolinska University Hospital, Stockholm, Sweden
| | - Lin Chen
- From the Department of Clinical Neuroscience (C.I.), and Department of Medical Epidemiology and Biostatistics (L.C., Y.Z., J.T., L.Y., F.F.), Karolinska Institutet; and Neurology Clinic (C.I.), Karolinska University Hospital, Stockholm, Sweden
| | - Yiqiang Zhan
- From the Department of Clinical Neuroscience (C.I.), and Department of Medical Epidemiology and Biostatistics (L.C., Y.Z., J.T., L.Y., F.F.), Karolinska Institutet; and Neurology Clinic (C.I.), Karolinska University Hospital, Stockholm, Sweden
| | - Jet Termorshuizen
- From the Department of Clinical Neuroscience (C.I.), and Department of Medical Epidemiology and Biostatistics (L.C., Y.Z., J.T., L.Y., F.F.), Karolinska Institutet; and Neurology Clinic (C.I.), Karolinska University Hospital, Stockholm, Sweden
| | - Li Yin
- From the Department of Clinical Neuroscience (C.I.), and Department of Medical Epidemiology and Biostatistics (L.C., Y.Z., J.T., L.Y., F.F.), Karolinska Institutet; and Neurology Clinic (C.I.), Karolinska University Hospital, Stockholm, Sweden
| | - Fang Fang
- From the Department of Clinical Neuroscience (C.I.), and Department of Medical Epidemiology and Biostatistics (L.C., Y.Z., J.T., L.Y., F.F.), Karolinska Institutet; and Neurology Clinic (C.I.), Karolinska University Hospital, Stockholm, Sweden.
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Investigating LGALS3BP/90 K glycoprotein in the cerebrospinal fluid of patients with neurological diseases. Sci Rep 2020; 10:5649. [PMID: 32221402 PMCID: PMC7101329 DOI: 10.1038/s41598-020-62592-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 03/12/2020] [Indexed: 12/12/2022] Open
Abstract
Galectin-3 binding protein (LGALS3BP or 90 K) is a secreted glycoprotein found in human body fluids. Deregulated levels were observed in cancer and infection and its study in neurological diseases is more recent. Here, we have investigated 90 K from human cerebrospinal fluid (CSF) of patients with amyotrophic lateral sclerosis (ALS, n = 35) and other neurological diseases (n = 23). CSF was fractionated by ultrafiltration/size-exclusion chromatography (SEC) and eluted fractions were analysed by complementary techniques including immunoblotting, electron microscopy and nano-liquid chromatography-tandem mass spectrometry. A fraction of 90 K appeared as nanoparticles of irregular shape with heterogeneous dimensions of 15–60 nm that co-eluted with extracellular vesicles in SEC. Median levels of 90 K quantified by ELISA were not different between ALS patients (215.8 ng/ml) and controls (213.3 ng/ml) in contrast with the benchmark biomarker for ALS phosphoneurofilament heavy chain (1750 and 345 pg/ml, respectively). A multiregression model supported age is the only independent predictor of 90 K level in both groups (p < 0.05). Significant correlation was found between 90 K levels and age for the ALS group (r = 0.366, p = 0.031) and for all subjects (r = 0.392, p = 0.003). In conclusion, this study unveils the presence of 90 K-containing nanoparticles in human CSF and opens novel perspectives to further investigate 90 K as potential aging marker.
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Filippini T, Fiore M, Tesauro M, Malagoli C, Consonni M, Violi F, Arcolin E, Iacuzio L, Oliveri Conti G, Cristaldi A, Zuccarello P, Zucchi E, Mazzini L, Pisano F, Gagliardi I, Patti F, Mandrioli J, Ferrante M, Vinceti M. Clinical and Lifestyle Factors and Risk of Amyotrophic Lateral Sclerosis: A Population-Based Case-Control Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17030857. [PMID: 32019087 PMCID: PMC7037077 DOI: 10.3390/ijerph17030857] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 01/28/2020] [Accepted: 01/28/2020] [Indexed: 12/26/2022]
Abstract
Background: Amyotrophic lateral sclerosis (ALS) is a progressive, fatal neurodegenerative disease of the motor neurons. The etiology of ALS remains largely unknown, particularly with reference to the potential environmental determinants. Methods: We performed a population-based case-control study in four provinces from both Northern and Southern Italy in order to assess non-genetic ALS risk factors by collecting through tailored questionnaires information about clinical and lifestyle factors. We estimated ALS risk by calculating odds ratio (OR) with its 95% confidence interval (CI) using unconditional logistic regression models adjusted for sex, age and educational attainment. Results: We recruited 230 participants (95 cases and 135 controls). We found a possible positive association of ALS risk with trauma, particularly head trauma (OR = 2.61, 95% CI 1.19–5.72), electric shock (OR = 2.09, 95% CI 0.62–7.06), and some sports, although at a competitive level only. In addition, our results suggest an increased risk for subjects reporting use of private wells for drinking water (OR = 1.38, 95% CI 0.73–2.27) and for use of herbicides during gardening (OR = 1.95, 95% CI 0.88–2.27). Conversely, there was a suggestion of an inverse association with overall fish consumption (OR = 0.27, 95% CI 0.12–0.60), but with no dose-response relation. Consumption of some dietary supplements, namely those containing amino acids and, in the Southern Italy population, vitamins and minerals such as selenium, seemed associated with a statistically imprecise increased risk. Conclusions: Our results suggest a potential etiologic role a number of clinical and lifestyle factors with ALS risk. However, caution is needed due to some study limitations. These include the small sample size and the low number of exposed subjects, which affect statistical precision of risk estimates, the potential for exposure misclassification, and the uncertainties about mechanisms underpinning the possible association between these factors and disease risk.
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Affiliation(s)
- Tommaso Filippini
- CREAGEN—Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (T.F.); (C.M.); (F.V.); (E.A.); (L.I.)
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Maria Fiore
- Department of Medical, Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Catania University, 95123 Catania, Italy; (M.F.); (G.O.C.); (A.C.); (P.Z.); (F.P.); (M.F.)
| | - Marina Tesauro
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy; (M.T.); (M.C.)
| | - Carlotta Malagoli
- CREAGEN—Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (T.F.); (C.M.); (F.V.); (E.A.); (L.I.)
| | - Michela Consonni
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy; (M.T.); (M.C.)
| | - Federica Violi
- CREAGEN—Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (T.F.); (C.M.); (F.V.); (E.A.); (L.I.)
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41125 Modena, Italy
- Azienda USL-IRCCS di Reggio Emilia, 42122 Reggio Emilia, Italy
| | - Elisa Arcolin
- CREAGEN—Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (T.F.); (C.M.); (F.V.); (E.A.); (L.I.)
| | - Laura Iacuzio
- CREAGEN—Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (T.F.); (C.M.); (F.V.); (E.A.); (L.I.)
- Department of Public Health, Local Health Unit, 41121 Modena, Italy
| | - Gea Oliveri Conti
- Department of Medical, Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Catania University, 95123 Catania, Italy; (M.F.); (G.O.C.); (A.C.); (P.Z.); (F.P.); (M.F.)
| | - Antonio Cristaldi
- Department of Medical, Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Catania University, 95123 Catania, Italy; (M.F.); (G.O.C.); (A.C.); (P.Z.); (F.P.); (M.F.)
| | - Pietro Zuccarello
- Department of Medical, Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Catania University, 95123 Catania, Italy; (M.F.); (G.O.C.); (A.C.); (P.Z.); (F.P.); (M.F.)
| | - Elisabetta Zucchi
- Neurology Unit, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy;
| | - Letizia Mazzini
- ALS Centre Department of Neurology, ‘Maggiore della Carità’ University Hospital, 28100 Novara, Italy; (L.M.); (I.G.)
| | - Fabrizio Pisano
- Neurological Rehabilitation Division, Policlinico San Marco di Zingonia, 24046 Zingonia (BG), Italy;
| | - Ileana Gagliardi
- ALS Centre Department of Neurology, ‘Maggiore della Carità’ University Hospital, 28100 Novara, Italy; (L.M.); (I.G.)
| | - Francesco Patti
- Department of Medical, Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Catania University, 95123 Catania, Italy; (M.F.); (G.O.C.); (A.C.); (P.Z.); (F.P.); (M.F.)
| | - Jessica Mandrioli
- Neurology Unit, Department of Neuroscience, S. Agostino Estense Hospital, Azienda Ospedaliero Universitaria di Modena, 41126 Modena, Italy;
| | - Margherita Ferrante
- Department of Medical, Surgical Sciences and Advanced Technologies “G. F. Ingrassia”, Catania University, 95123 Catania, Italy; (M.F.); (G.O.C.); (A.C.); (P.Z.); (F.P.); (M.F.)
| | - Marco Vinceti
- CREAGEN—Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; (T.F.); (C.M.); (F.V.); (E.A.); (L.I.)
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
- Correspondence:
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Abstract
In recent years, concerns have been raised on the diversity, health and welfare of our (pedigree) dog population. Somewhat justified, the popular sire effect, population bottlenecks, the founder effect and inbreeding have left their marks on the dog as we know it. In order to improve the health and welfare of the canine population in general, individual breeding programs should adhere to the concept of ethical breeding (i.e. "the use of healthy animals true to their species in behaviour and looks, and when applicable, showing a sustainable performance") when population-specific breeding goals are defined. Even though every population has its own problems, the approach to get to possible solution(s) is similar. The starting point will always be the identification of which (un)desirable pheno- and genotypes are segregating and what their prevalence is, followed by an evaluation of the genetic diversity. Based on that information and, when applicable, additional criteria like breed standards, breeding goals can be defined. It is of critical importance that these goals are put forward with a long term vision in mind and with consensus from the stakeholders to ensure collaboration. Upon prioritization of the most important goals, when necessary with the help of specifically developed tools, the final step is choosing the most optimal combination of breeding strategies. This paper aims to provide a stepwise approach to identify and tackle population-specific problems encountered in breeding programs.
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Affiliation(s)
- Bart J G Broeckx
- Laboratory of Animal Genetics, Faculty of Veterinary Medicine, Ghent University, Heidestraat 19, 9820, Merelbeke, Belgium.
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60
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Dolinar A, Koritnik B, Glavač D, Ravnik-Glavač M. Circular RNAs as Potential Blood Biomarkers in Amyotrophic Lateral Sclerosis. Mol Neurobiol 2019; 56:8052-8062. [PMID: 31175544 PMCID: PMC6834740 DOI: 10.1007/s12035-019-1627-x] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 04/25/2019] [Indexed: 12/14/2022]
Abstract
Circular RNAs (circRNAs) are emerging as a novel, yet powerful player in many human diseases. They are involved in several cellular processes and are becoming a noteworthy type of biomarkers. Among other functions, circRNAs can serve as RNA sponges or as scaffolds for RNA-binding proteins. Here, we investigated a microarray expression profile of circRNAs in leukocyte samples from ALS patients and age- and sex-matched healthy controls to identify differentially expressed circRNAs. We selected 10 of them for a qPCR validation of expression on a larger set of samples, identification of their associations with clinical parameters, and evaluation of their diagnostic potential. In total, expression of 7/10 circRNAs was significant in a larger cohort of ALS patients, compared with age- and sex-matched healthy controls. Three of them (hsa_circ_0023919, hsa_circ_0063411, and hsa_circ_0088036) showed the same regulation as in microarray results. These three circRNAs also had AUC > 0.95, and sensitivity and specificity for the optimal threshold point > 90%, showing their potential for using them as diagnostic biomarkers.
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Affiliation(s)
- Ana Dolinar
- Department of Molecular Genetics, Institute of Pathology, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000, Ljubljana, Slovenia
| | - Blaž Koritnik
- Institute of Clinical Neurophysiology, Division of Neurology, University Medical Centre Ljubljana, Zaloška cesta 7, 1000, Ljubljana, Slovenia
- Department of Neurology, Faculty of Medicine, University of Ljubljana, Zaloška cesta 2, 1000, Ljubljana, Slovenia
| | - Damjan Glavač
- Department of Molecular Genetics, Institute of Pathology, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000, Ljubljana, Slovenia
| | - Metka Ravnik-Glavač
- Department of Molecular Genetics, Institute of Pathology, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000, Ljubljana, Slovenia.
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000, Ljubljana, Slovenia.
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61
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van Eijk RPA, Nikolakopoulos S, Roes KCB, Middelkoop BM, Ferguson TA, Shaw PJ, Leigh PN, Al-Chalabi A, Eijkemans MJC, van den Berg LH. Critical design considerations for time-to-event endpoints in amyotrophic lateral sclerosis clinical trials. J Neurol Neurosurg Psychiatry 2019; 90:1331-1337. [PMID: 31292200 PMCID: PMC6902062 DOI: 10.1136/jnnp-2019-320998] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 05/31/2019] [Accepted: 06/13/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Funding and resources for low prevalent neurodegenerative disorders such as amyotrophic lateral sclerosis (ALS) are limited, and optimising their use is vital for efficient drug development. In this study, we review the design assumptions for pivotal ALS clinical trials with time-to-event endpoints and provide optimised settings for future trials. METHODS We extracted design settings from 13 completed placebo-controlled trials. Optimal assumptions were estimated using parametric survival models in individual participant data (n=4991). Designs were compared in terms of sample size, trial duration, drug use and costs. RESULTS Previous trials overestimated the hazard rate by 18.9% (95% CI 3.4% to 34.5%, p=0.021). The median expected HR was 0.56 (range 0.33-0.66). Additionally, we found evidence for an increasing mean hazard rate over time (Weibull shape parameter of 2.03, 95% CI 1.93 to 2.15, p<0.001), which affects the design and planning of future clinical trials. Incorporating accrual time and assuming an increasing hazard rate at the design stage reduced sample size by 33.2% (95% CI 27.9 to 39.4), trial duration by 17.4% (95% CI 11.6 to 23.3), drug use by 14.3% (95% CI 9.6 to 19.0) and follow-up costs by 21.2% (95% CI 15.6 to 26.8). CONCLUSIONS Implementing distributional knowledge and incorporating accrual at the design stage could achieve large gains in the efficiency of ALS clinical trials with time-to-event endpoints. We provide an open-source platform that helps investigators to make more accurate sample size calculations and optimise the use of their available resources.
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Affiliation(s)
- Ruben P A van Eijk
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Stavros Nikolakopoulos
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Kit C B Roes
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Bas M Middelkoop
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Toby A Ferguson
- Department of Neurology Research and Early Clinical Development, Biogen Inc, Cambridge, Massachusetts, USA
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - P Nigel Leigh
- Department of Clinical Neuroscience, Trafford Centre for Biomedical Research, Brighton and Sussex Medical School, Brighton, UK
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
| | - Marinus J C Eijkemans
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Leonard H van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
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Raymond J, Oskarsson B, Mehta P, Horton K. Clinical characteristics of a large cohort of US participants enrolled in the National Amyotrophic Lateral Sclerosis (ALS) Registry, 2010-2015. Amyotroph Lateral Scler Frontotemporal Degener 2019; 20:413-420. [PMID: 31131638 PMCID: PMC6946020 DOI: 10.1080/21678421.2019.1612435] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 04/11/2019] [Accepted: 04/14/2019] [Indexed: 12/03/2022]
Abstract
Background: Amyotrophic lateral sclerosis (ALS) is a progressive fatal disease with a varying range of clinical characteristics. Objective: To describe the clinical characteristics in a large cohort of ALS participants enrolled in the National ALS Registry. Methods: Data from ALS participants who completed the Registry's online clinical survey module during 2010-2015 were analyzed to determine characteristics, such as site of onset, associated symptoms, time of symptom onset to diagnosis, time of diagnosis to hospice referral, and pharmacological and non-pharmacological interventions. Results: Of the 1758 participants who completed the survey, 60.9% were male, 62.1% were 50-69 years old, and 95.5% white. Approximately, 72.0% reported initial limb weakness onset of disease, followed by bulbar (22.1%), and trunk/global onset (6.1%). Other symptoms ever experienced included cramps (56.7%), fasciculations (56.3%), and dysarthria (33.0%). The median time between an increase of muscle cramps until an ALS diagnosis was 12 months; limb onset participants had cramps longer preceding diagnosis versus those with bulbar onset. The most frequent interventions used included riluzole (48.3% currently using), wheelchairs/scooters (32.8%), and noninvasive breathing equipment (30.0%). Participants with trunk/global onset were referred to hospice almost four times earlier than others. Conclusions: These data show how ALS clinical characteristics differ widely in a large cohort of participants preceding diagnosis and reflect variations in disease onset, progression, and prognosis. Better characterization of symptom onset may assist clinicians in diagnosing ALS sooner, which could lead to earlier therapeutic interventions.
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Affiliation(s)
- Jaime Raymond
- a Agency for Toxic Substances and Disease Registry/Centers for Disease Control and Prevention , Atlanta , GA , USA and
| | | | - Paul Mehta
- a Agency for Toxic Substances and Disease Registry/Centers for Disease Control and Prevention , Atlanta , GA , USA and
| | - Kevin Horton
- a Agency for Toxic Substances and Disease Registry/Centers for Disease Control and Prevention , Atlanta , GA , USA and
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63
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Aberrations in Oxidative Stress Markers in Amyotrophic Lateral Sclerosis: A Systematic Review and Meta-Analysis. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2019; 2019:1712323. [PMID: 31281567 PMCID: PMC6590548 DOI: 10.1155/2019/1712323] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 05/20/2019] [Indexed: 12/11/2022]
Abstract
Oxidative stress has been reported to be involved in the onset and development of amyotrophic lateral sclerosis (ALS). Data from clinical studies have highlighted increased peripheral blood oxidative stress markers in patients with ALS, but results are inconsistent. Therefore, we quantitatively pooled data on levels of blood oxidative stress markers in ALS patients from the literature using a meta-analytic technique. A systematic search was performed on PubMed and Web of Science, and we included studies analyzing blood oxidative stress marker levels in patients with ALS and normal controls. We included 41 studies with 4,588 ALS patients and 6,344 control subjects, and 15 oxidative stress marker levels were subjected to random-effects meta-analysis. The results demonstrated that malondialdehyde (Hedges' g, 1.168; 95% CI, 0.812 to 1.523; P < 0.001), 8-hydroxyguanosine (Hedges' g, 2.194; 95% CI, 0.554 to 3.835; P = 0.009), and Advanced Oxidation Protein Product (Hedges' g, 0.555; 95% CI, 0.317 to 0.792; P < 0.001) levels were significantly increased in patients with ALS when compared with control subjects. Uric acid (Hedges' g, -0.798; 95% CI, -1.117 to -0.479; P < 0.001) and glutathione (Hedges' g, -1.636; 95% CI, -3.020 to -0.252; P = 0.02) levels were significantly reduced in ALS patients. In contrast, blood Cu, superoxide dismutase, glutathione peroxidase, ceruloplasmin, triglycerides, total cholesterol, low-density lipoprotein, high-density lipoprotein, coenzyme-Q10, and transferrin levels were not significantly different between cases and controls. Taken together, our results showed significantly increased blood levels of 8-hydroxyguanosine, malondialdehyde, and Advanced Oxidation Protein Product and decreased glutathione and uric acid levels in the peripheral blood of ALS patients. This meta-analysis helps to clarify the oxidative stress marker profile in ALS patients, supporting the hypothesis that oxidative stress is a central component underpinning ALS pathogenesis.
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Jun KY, Park J, Oh KW, Kim EM, Bae JS, Kim I, Kim SH. Epidemiology of ALS in Korea using nationwide big data. J Neurol Neurosurg Psychiatry 2019; 90:395-403. [PMID: 30409890 PMCID: PMC6581156 DOI: 10.1136/jnnp-2018-318974] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 09/21/2018] [Accepted: 10/01/2018] [Indexed: 01/22/2023]
Abstract
OBJECTIVE This study aimed to determine the incidence, prevalence and survival time of Korean patients with amyotrophic lateral sclerosis (ALS) using National Health Insurance Service (NHIS) data. METHODS Using NHIS data, the Korean nationwide health dataset, we identified patients with motor neuron diseases who were first diagnosed with a KCD-6 code (G12.20-G12.28; modified from ICD-10 codes) between 2011 and 2015. ALS (G12.21 code) epidemiological characteristics, including annual incidence, prevalence, mortality rates and survival time, were analysed and compared with sociodemographic variables. RESULTS New patients with ALS (n=3049) were enrolled over 5 years. The mean annual incidence was 1.20/100 000, and the sex ratio was 1.60 (male:female). The mean age at the time of diagnosis was 61.4 years. The prevalence rate was 3.43/100 000 in 2015. In this period, riluzole was prescribed to 53.6% of patients with ALS. Furthermore, 20.3% of patients with ALS underwent tracheostomy. When analysed for age and socioeconomic status, ALS prevalence rate was 10.71 in the aged group (≥60) in 2015 and was lowest in the middle-income group compared with that in the high-income and low-income groups. The estimated mean survival time in this population was 50.0 months, and the 3-year and 5-year mortality rates were 52.1% and 63.7%, respectively. CONCLUSIONS This study is the first nationwide survey for epidemiological characteristics of ALS in Korea using national data. The use of these data substantially advances the understanding of Korean and Asian ALS epidemiology and its relationship with socioeconomic status, age and sex.
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Affiliation(s)
- Kyo Yeon Jun
- Department of Health Sciences, Hanyang University Graduate School, Seoul, Republic of Korea.,Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency, Incheon, Republic of Korea
| | - Jinseok Park
- Department of Neurology, College of Medicine, Hanyang University, Seoul, Republic of Korea.,Cell Therapy Center, Hanyang University, Seoul, Republic of Korea
| | - Ki-Wook Oh
- Department of Neurology, College of Medicine, Hanyang University, Seoul, Republic of Korea.,Cell Therapy Center, Hanyang University, Seoul, Republic of Korea
| | - Eun Mi Kim
- Department of Health Sciences, Hanyang University Graduate School, Seoul, Republic of Korea
| | - Jong Seok Bae
- Department of Neurology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea
| | - Inah Kim
- Department of Health Sciences, Hanyang University Graduate School, Seoul, Republic of Korea .,Department of Occupational and Environmental Medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea
| | - Seung Hyun Kim
- Department of Neurology, College of Medicine, Hanyang University, Seoul, Republic of Korea .,Cell Therapy Center, Hanyang University, Seoul, Republic of Korea
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Rose L, McKim D, Leasa D, Nonoyama M, Tandon A, Bai YQ, Amin R, Katz S, Goldstein R, Gershon A. Trends in incidence, prevalence, and mortality of neuromuscular disease in Ontario, Canada: A population-based retrospective cohort study (2003-2014). PLoS One 2019; 14:e0210574. [PMID: 30913206 PMCID: PMC6435115 DOI: 10.1371/journal.pone.0210574] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 12/26/2018] [Indexed: 12/19/2022] Open
Abstract
Background Population trends of disease prevalence and incidence over time measure burden of disease and inform healthcare planning. Neuromuscular disorders (NMD) affect muscle and nerve function with varying degrees of severity and disease progression. Objective Using health administrative databases we described trends in incidence, prevalence, and mortality of adults and children with NMD. We also explored place of death and use of palliative care. Methods Population-based (Ontario, Canada) cohort study (2003 to 2014) of adults and children with NMD identified using International Classification of Disease and health insurance billing codes within administrative health databases. Results Adult disease prevalence increased on average per year by 8% (95% confidence interval (CI) 6% to 10%, P <.001), with the largest increase in adults18-39 years. Childhood disease prevalence increased by 10% (95% CI 8% to 11%, P <.0001) per year, with the largest increase in children 0 to 5 years. Prevalence increased across all diagnoses except amyotrophic lateral sclerosis and spinal muscular atrophy for adults and all diagnoses for children. Adult incidence decreased by 3% (95% CI -4% to -2%, P <.0001) but incidence remained stable in children. Death occurred in 34,336 (18.5%) adults; 21,236 (61.8%) of whom received palliative care. Death occurred in 1,009 (5.6%) children; 507 (50.2%) of whom received palliative care. Mortality decreased over time in adults (odds ratio (OR) 0.86, 95% CI 0.86–0.87, P <.0001) and children (OR 0.79, 95% CI 0.76–0.82, P <.0001). Use of palliative care over time increased for adults (OR 1.18, 95% CI 1.09 to 1.28, P <.0001) and children (OR 1.22, 95% CI 1.20 to 1.23, P <.0001). Conclusions In both adults and children, NMD prevalence is rising and mortality rates are declining. In adults incidence is decreasing while in children it remains stable. This confirms on a population-based level the increased survival of children and adults with NMD.
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Affiliation(s)
- Louise Rose
- Department of Critical Care, Sunnybrook Health Sciences Centre and Sunnybrook Research Institute, Toronto, Canada
- Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King’s College London, London, United Kingdom
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Canada
- Institute of Clinical Evaluative Sciences, Toronto, Canada
- * E-mail:
| | - Douglas McKim
- The Ottawa Hospital Respiratory Rehabilitation and The Ottawa Hospital Sleep Centre and Ottawa Hospital Research Institute, Ottawa, Canada
- Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - David Leasa
- Department of Medicine, Divisions of Critical Care and Respirology, London Health Sciences Centre, London, Canada
- Faculty of Medicine, Western University, London, Canada
| | - Mika Nonoyama
- Faculty of Health Sciences, University of Ontario Institute of Technology, Oshawa, Canada
- Hospital for Sick Children (SickKids) Research Institute, Toronto, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, Canada
| | - Anu Tandon
- Department of Respirology & Clinical Immunology, Sunnybrook Health Sciences Centre and Sunnybrook Research Institute, Toronto, Canada
- Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Yu Qing Bai
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
| | - Reshma Amin
- Hospital for Sick Children (SickKids) Research Institute, Toronto, Canada
- Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Sherri Katz
- Faculty of Medicine, University of Ottawa, Ottawa, Canada
- Children’s Hospital of Eastern Ontario and Children’s Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Roger Goldstein
- Faculty of Medicine, University of Toronto, Toronto, Canada
- West Park Healthcare Centre, Toronto, Canada
| | - Andrea Gershon
- Institute of Clinical Evaluative Sciences, Toronto, Canada
- Department of Respirology & Clinical Immunology, Sunnybrook Health Sciences Centre and Sunnybrook Research Institute, Toronto, Canada
- Faculty of Medicine, University of Toronto, Toronto, Canada
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Leighton D, Newton J, Colville S, Bethell A, Craig G, Cunningham L, Flett M, Fraser D, Hatrick J, Lennox H, Marshall L, McAleer D, McEleney A, Millar K, Silver A, Stephenson L, Stewart S, Storey D, Stott G, Thornton C, Webber C, Gordon H, Melchiorre G, Sherlock L, Beswick E, Buchanan D, Abrahams S, Bateman A, Preston J, Duncan C, Davenport R, Gorrie G, Morrison I, Swingler R, Chandran S, Pal S. Clinical audit research and evaluation of motor neuron disease (CARE-MND): a national electronic platform for prospective, longitudinal monitoring of MND in Scotland. Amyotroph Lateral Scler Frontotemporal Degener 2019; 20:242-250. [PMID: 30889975 DOI: 10.1080/21678421.2019.1582673] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Objectives: Launched in 1989, the Scottish Motor Neuron Disease Register (SMNDR) has provided a resource for prospective clinical data collection. However, in 2015 we aimed to evolve a system to allow: i) A patient-centered approach to care based on recognized standards, ii) Harmonized data sharing between Scottish health professionals in "real-time", iii) Regular audit of care to facilitate timely improvements in service delivery, and iv) Patient participation in a diverse range of observational and interventional research studies including clinical trials. Methods: We developed a standardized national electronic data platform-Clinical Audit Research and Evaluation of MND (CARE-MND) which integrates clinical audit and research data fields. Data completion pre- and post-CARE-MND were compared, guided by recently published National Institute for Clinical Excellence (NICE) recommendations. Statistical difference in data capture between time periods was assessed using Z-test of proportions. Results: Data field completion for the historical 2011-2014 period ranged from 4 to 95%; median 50%. CARE-MND capture ranged from 32 to 98%; median 87%. 15/17 fields were significantly more complete post-CARE-MND (p < 0.001). All MND nurse/allied health specialists in Scotland use the CARE-MND platform. Management of MND in Scotland is now coordinated through a standardized template. Conclusions: Through CARE-MND, national audits of MND care and interventions have been possible, leading to protocols for harmonized service provision. Stratification of the MND population is facilitating participation in observational and interventional studies. CARE-MND can act as a template for other neurological disorders.
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Affiliation(s)
- Danielle Leighton
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.,c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK.,d Department of Neurology , NHS Greater Glasgow & Clyde , Glasgow , UK
| | - Judith Newton
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.,c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK
| | - Shuna Colville
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.,c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK
| | - Andrew Bethell
- e Department of Neurology , NHS Highland , Inverness , UK
| | - Gillian Craig
- f Department of Neurology , NHS Tayside , Dundee , UK
| | - Laura Cunningham
- d Department of Neurology , NHS Greater Glasgow & Clyde , Glasgow , UK.,g Department of Neurology , NHS Lanarkshire , Glasgow , UK
| | - Moira Flett
- h Department of Neurology , NHS Orkney , Kirkwall , UK
| | - Dianne Fraser
- i Department of Neurology , NHS Grampian , Aberdeen , UK
| | - Janice Hatrick
- d Department of Neurology , NHS Greater Glasgow & Clyde , Glasgow , UK
| | - Helen Lennox
- j Department of Neurology , NHS Ayrshire & Arran , Ayr , UK.,k Department of Neurology , NHS Dumfries & Galloway , Dumfries , UK
| | - Laura Marshall
- l Department of Neurology , NHS Forth Valley , Stirling , UK
| | | | - Alison McEleney
- c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK.,m Department of Neurology , NHS Borders , Melrose , UK
| | - Kitty Millar
- n Department of Neurology , NHS Western Isles , Stornoway , UK , and
| | - Ann Silver
- d Department of Neurology , NHS Greater Glasgow & Clyde , Glasgow , UK.,g Department of Neurology , NHS Lanarkshire , Glasgow , UK
| | - Laura Stephenson
- b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.,c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK
| | - Susan Stewart
- i Department of Neurology , NHS Grampian , Aberdeen , UK
| | | | - Gill Stott
- c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK.,m Department of Neurology , NHS Borders , Melrose , UK
| | - Carol Thornton
- i Department of Neurology , NHS Grampian , Aberdeen , UK
| | | | - Harry Gordon
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.,c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK
| | - Giulia Melchiorre
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.,c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK
| | - Laura Sherlock
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK
| | - Emily Beswick
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK
| | - David Buchanan
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK
| | - Sharon Abrahams
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.,c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK
| | - Anthony Bateman
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.,c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK
| | - Jenny Preston
- j Department of Neurology , NHS Ayrshire & Arran , Ayr , UK
| | - Callum Duncan
- i Department of Neurology , NHS Grampian , Aberdeen , UK
| | - Richard Davenport
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.,c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK
| | - George Gorrie
- b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.,d Department of Neurology , NHS Greater Glasgow & Clyde , Glasgow , UK
| | - Ian Morrison
- f Department of Neurology , NHS Tayside , Dundee , UK
| | - Robert Swingler
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK
| | - Siddharthan Chandran
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.,c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK
| | - Suvankar Pal
- a Centre for Clinical Brain Sciences , University of Edinburgh , Edinburgh , UK.,b Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.,c Department of Neurology , NHS Lothian, Western General Hospital , Edinburgh , UK.,l Department of Neurology , NHS Forth Valley , Stirling , UK
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Taule T, Spilde Morland A, Arnevik Renså M, Aßmus J, Tysnes OB, Rekand T. Edinburgh Cognitive and Behavioral Amyotrophic Lateral Sclerosis Screen (ECAS) in Norway: Protocol for validation and a prospective cohort study. Contemp Clin Trials Commun 2019; 14:100347. [PMID: 30976725 PMCID: PMC6444026 DOI: 10.1016/j.conctc.2019.100347] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 03/06/2019] [Accepted: 03/11/2019] [Indexed: 12/11/2022] Open
Abstract
In amyotrophic lateral sclerosis (ALS) cognitive impairment may occur. This could detrimentally influence communication between patient and health-care professionals and make clinical assessment difficult. Given the short life expectancy after diagnosis, it is crucial to accurately identify ALS patients early. Although suitable cognitive screening tools for patients with ALS are available, they have not been evaluated in a Norwegian population. Interpretation of scores for available tests and practical application of scoring is also not well established. The protocol described here involves two related studies that aim to improve the quality of ALS clinical testing instruments used in the Norwegian population. The first is a validation study that evaluates the psychometric properties of the ECAS-Norwegian. The second is a prospective cohort study that evaluates the ECAS-Norwegian as a tool to predict early changes in ability to work, drive a car and the need for advanced therapy. Study 1 is a multicenter study using international quality criteria. Patients with ALS, healthy control subjects, and control subjects with dementia will be included. Primary outcome is ECAS-Norwegian scores. In study 2, patients with ALS will be included. ECAS-Norwegian compared to Clinical Dementia Rating score and Montreal Cognitive Assessment scores will be used as a prognostic tool for working, driving, and initiating advanced life-prolonging therapy. Before clinical implementation, the ECAS-Norwegian needs to be evaluated and validated. Successful validation and implementation of the ECAS-Norwegian may provide early identification of cognitive impairment in ALS, leading to more proactive, individualized treatment.
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Affiliation(s)
- Tina Taule
- Department of Occupational Therapy, Orthopedic Clinic, Haukeland University Hospital, Bergen, Norway.,Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway
| | - Annbjørg Spilde Morland
- Department of Occupational Therapy, Orthopedic Clinic, Haukeland University Hospital, Bergen, Norway
| | - Marit Arnevik Renså
- Department of Neurology, Neurologic Clinic, Haukeland University Hospital, Bergen, Norway
| | - Jörg Aßmus
- Centre for Clinical Research, Haukeland University Hospital, Bergen, Norway
| | - Ole-Bjørn Tysnes
- Department of Neurology, Neurologic Clinic, Haukeland University Hospital, Bergen, Norway
| | - Tiina Rekand
- Department of Neurology, Neurologic Clinic, Haukeland University Hospital, Bergen, Norway.,Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Sweden
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68
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Leighton DJ, Newton J, Stephenson LJ, Colville S, Davenport R, Gorrie G, Morrison I, Swingler R, Chandran S, Pal S. Changing epidemiology of motor neurone disease in Scotland. J Neurol 2019; 266:817-825. [PMID: 30805795 DOI: 10.1007/s00415-019-09190-7] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 12/19/2018] [Accepted: 01/06/2019] [Indexed: 10/27/2022]
Abstract
OBJECTIVES Scotland benefits from an integrated national healthcare team for motor neurone disease (MND) and a tradition of rich clinical data capture using the Scottish MND Register (launched in 1989; one of the first national registers). The Scottish register was re-launched in 2015 as Clinical Audit Research and Evaluation of MND (CARE-MND), an electronic platform for prospective, population-based research. We aimed to determine if incidence of MND is changing over time. METHODS Capture-recapture methods determined the incidence of MND in 2015-2016. Incidence rates for 2015-2016 and 1989-1998 were direct age and sex standardised to allow time-period comparison. Phenotypic characteristics and socioeconomic status of the cohort are described. RESULTS Coverage of the CARE-MND platform was 99%. Crude incidence in the 2015-2017 period was 3.83/100,000 person-years (95% CI 3.53-4.14). Direct age-standardised incidence in 2015 was 3.42/100,000 (95% CI 2.99-3.91); in 2016, it was 2.89/100,000 (95% CI 2.50-3.34). The 1989-1998 direct standardised annual incidence estimate was 2.32/100,000 (95% CI 2.26-2.37). 2015-2016 standardised incidence was 66.9% higher than Northern European estimates. Socioeconomic status was not associated with MND. CONCLUSIONS Our data show a changing landscape of MND in Scotland, with a rise in incidence by 36.0% over a 25-year period. This is likely attributable to ascertainment in the context of improved neurological services in Scotland. Our data suggest that CARE-MND is a reliable national resource and findings can be extrapolated to the other Northern European populations.
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Affiliation(s)
- Danielle J Leighton
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building 49 Little France Crescent, Edinburgh, EH16 4TJ, UK.,Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, UK.,Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Judith Newton
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building 49 Little France Crescent, Edinburgh, EH16 4TJ, UK.,Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, UK.,Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Laura J Stephenson
- Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, UK
| | - Shuna Colville
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building 49 Little France Crescent, Edinburgh, EH16 4TJ, UK.,Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, UK.,Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Richard Davenport
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK.,Department of Clinical Neurosciences, NHS Lothian, Edinburgh, UK
| | - George Gorrie
- Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, UK.,Institute of Neurosciences, NHS Greater Glasgow and Clyde, Glasgow, UK
| | - Ian Morrison
- Department of Neurology, NHS Tayside, Dundee, UK
| | - Robert Swingler
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building 49 Little France Crescent, Edinburgh, EH16 4TJ, UK.,Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, UK
| | - Siddharthan Chandran
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building 49 Little France Crescent, Edinburgh, EH16 4TJ, UK.,Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, UK.,Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK.,Department of Clinical Neurosciences, NHS Lothian, Edinburgh, UK
| | - Suvankar Pal
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building 49 Little France Crescent, Edinburgh, EH16 4TJ, UK. .,Euan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, UK. .,Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK. .,Department of Clinical Neurosciences, NHS Lothian, Edinburgh, UK.
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69
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van Eijk RPA, Westeneng HJ, Nikolakopoulos S, Verhagen IE, van Es MA, Eijkemans MJC, van den Berg LH. Refining eligibility criteria for amyotrophic lateral sclerosis clinical trials. Neurology 2019; 92:e451-e460. [PMID: 30626653 PMCID: PMC6369899 DOI: 10.1212/wnl.0000000000006855] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 09/19/2018] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVE To assess the effect of eligibility criteria on exclusion rates, generalizability, and outcome heterogeneity in amyotrophic lateral sclerosis (ALS) clinical trials and to assess the value of a risk-based inclusion criterion. METHODS A literature search was performed to summarize the eligibility criteria of clinical trials. The extracted criteria were applied to an incidence cohort of 2,904 consecutive patients with ALS to quantify their effects on generalizability and outcome heterogeneity. We evaluated the effect of a risk-based selection approach on trial design using a personalized survival prediction model. RESULTS We identified 38 trials. A large variability exists between trials in all patient characteristics for enrolled patients (p < 0.001), except for the proportion of men (p = 0.21). Exclusion rates varied widely (from 14% to 95%; mean 59.8%; 95% confidence interval 52.6%-66.7%). Stratification of the eligible populations into prognostic subgroups showed that eligibility criteria lead to exclusion of patients in all prognostic groups. Eligibility criteria neither reduce heterogeneity in survival time (from 22.0 to 20.5 months, p = 0.09) nor affect between-patient variability in functional decline (from 0.62 to 0.65, p = 0.25). In none of the 38 trials were the eligibility criteria found to be more efficient than the prediction model in optimizing sample size and eligibility rate. CONCLUSIONS The majority of patients with ALS are excluded from trial participation, which questions the generalizability of trial results. Eligibility criteria only minimally improve homogeneity in trial endpoints. An individualized risk-based criterion could be used to balance the gains in trial design and loss in generalizability.
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Affiliation(s)
- Ruben P A van Eijk
- From the Department of Neurology (R.P.A.v.E., H.-J.W., I.E.V., M.A.v.E., L.H.v.d.B.), Brain Center Rudolf Magnus, and Biostatistics & Research Support (R.P.A.v.E., S.N., M.J.C.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
| | - Henk-Jan Westeneng
- From the Department of Neurology (R.P.A.v.E., H.-J.W., I.E.V., M.A.v.E., L.H.v.d.B.), Brain Center Rudolf Magnus, and Biostatistics & Research Support (R.P.A.v.E., S.N., M.J.C.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
| | - Stavros Nikolakopoulos
- From the Department of Neurology (R.P.A.v.E., H.-J.W., I.E.V., M.A.v.E., L.H.v.d.B.), Brain Center Rudolf Magnus, and Biostatistics & Research Support (R.P.A.v.E., S.N., M.J.C.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
| | - Iris E Verhagen
- From the Department of Neurology (R.P.A.v.E., H.-J.W., I.E.V., M.A.v.E., L.H.v.d.B.), Brain Center Rudolf Magnus, and Biostatistics & Research Support (R.P.A.v.E., S.N., M.J.C.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
| | - Michael A van Es
- From the Department of Neurology (R.P.A.v.E., H.-J.W., I.E.V., M.A.v.E., L.H.v.d.B.), Brain Center Rudolf Magnus, and Biostatistics & Research Support (R.P.A.v.E., S.N., M.J.C.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
| | - Marinus J C Eijkemans
- From the Department of Neurology (R.P.A.v.E., H.-J.W., I.E.V., M.A.v.E., L.H.v.d.B.), Brain Center Rudolf Magnus, and Biostatistics & Research Support (R.P.A.v.E., S.N., M.J.C.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
| | - Leonard H van den Berg
- From the Department of Neurology (R.P.A.v.E., H.-J.W., I.E.V., M.A.v.E., L.H.v.d.B.), Brain Center Rudolf Magnus, and Biostatistics & Research Support (R.P.A.v.E., S.N., M.J.C.E.), Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands.
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70
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Costa J, Streich L, Pinto S, Pronto-Laborinho A, Nimtz M, Conradt HS, de Carvalho M. Exploring Cerebrospinal Fluid IgG N-Glycosylation as Potential Biomarker for Amyotrophic Lateral Sclerosis. Mol Neurobiol 2019; 56:5729-5739. [PMID: 30674035 DOI: 10.1007/s12035-019-1482-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 01/10/2019] [Indexed: 12/14/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal motor neuron disease for which the existing candidate biomarkers (neurofilaments) have low specificity. Changes in blood IgG N-glycosylation have been observed in several diseases, including ALS, whereas cerebrospinal fluid (CSF) IgG has been less studied. Here, we characterized N-glycans of CSF IgG from ALS patients in comparison with a control group of other neurological diseases. Cerebrospinal fluid was collected from patients with ALS (n = 26) and other neurological diseases (n = 10). N-Glycans were released from CSF purified IgG with peptide N-glycosidase F, labeled with 2-aminobenzamide and analyzed by NP-HPLC chromatography in combination with exoglycosidase digestion and MALDI-TOF mass spectrometry. The N-glycosylation profile of ALS CSF IgG consisted of diantennary N-glycans predominantly with proximal fucose and some bisecting GlcNAc; agalacto-, mono-, and digalactosylated as well as α2,6-sialylated structures were detected. Differences between ALS and control patients were observed; most relevant was the increase in ALS CSF IgG of the level of galactosylated structures defined here as Gal-index (median 46.87 and 40.50% for ALS and controls, respectively; p = 0.006). The predictive value of the Gal-index (AUC = 0.792, p = 0.007) considering ROC analysis had potential utility as a diagnostic test for ALS and was comparable to that of phosphoneurofilament heavy chain (AUC = 0.777, p = 0.011), which was used as benchmark marker for our group of patients. The results provide the basis to further explore the potential of IgG N-glycan galactosylation as biomarker for ALS by using larger cohorts of patients and controls.
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Affiliation(s)
- Julia Costa
- Laboratory of Glycobiology, Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Avenida da República, 2780-157, Oeiras, Portugal.
| | - Linda Streich
- GlycoThera GmbH, Feodor-Lynen Strasse 35, 30625, Hannover, Germany
| | - Susana Pinto
- Institute of Physiology, Instituto de Medicina Molecular-Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Ana Pronto-Laborinho
- Institute of Physiology, Instituto de Medicina Molecular-Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Manfred Nimtz
- Helmholtz-Zentrum für Infektionsforschung, 38124, Braunschweig, Germany
| | - Harald S Conradt
- GlycoThera GmbH, Feodor-Lynen Strasse 35, 30625, Hannover, Germany
| | - Mamede de Carvalho
- Institute of Physiology, Instituto de Medicina Molecular-Faculty of Medicine, University of Lisbon, Lisbon, Portugal.,Department Neurosciences and Mental Health, Hospital de Santa Maria-CHLN, Lisbon, Portugal
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71
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Paganoni S, Alshikho MJ, Luppino S, Chan J, Pothier L, Schoenfeld D, Andres PL, Babu S, Zürcher NR, Loggia ML, Barry RL, Luotti S, Nardo G, Trolese MC, Pantalone S, Bendotti C, Bonetto V, De Marchi F, Rosen B, Hooker J, Cudkowicz M, Atassi N. A pilot trial of RNS60 in amyotrophic lateral sclerosis. Muscle Nerve 2018; 59:303-308. [PMID: 30458059 DOI: 10.1002/mus.26385] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 11/11/2018] [Accepted: 11/13/2018] [Indexed: 12/21/2022]
Abstract
INTRODUCTION RNS60 is a novel immune-modulatory agent that has shown neuroprotective effects in amytrophic lateral sclerosis (ALS) preclinical models. RNS60 is administered by weekly intravenous infusion and daily nebulization. The objective of this pilot open-label trial was to test the feasibility, safety, and tolerability of long-term RNS60 administration in ALS patients. METHODS The planned treatment duration was 23 weeks and the primary outcomes were safety and tolerability. Secondary outcomes included PBR28 positron emission tomography (PET) imaging and plasma biomarkers of inflammation. RESULTS Sixteen participants with ALS received RNS60 and 13 (81%) completed 23 weeks of RNS60 treatment. There were no serious adverse events and no participants withdrew from the trial due to drug-related adverse events. There were no significant changes in the biomarkers. DISCUSSION Long-term RNS60 administration was safe and well-tolerated. A large, multicenter, phase II trial of RNS60 is currently enrolling participants to test the effects of RNS60 on ALS biomarkers and disease progression. Muscle Nerve 59:303-308, 2019.
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Affiliation(s)
- Sabrina Paganoni
- Neurological Clinical Research Institute, Massachusetts General Hospital, 165 Cambridge Street, Suite 600, Boston, Massachusetts, 02114, USA.,Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA
| | - Mohamad J Alshikho
- Neurological Clinical Research Institute, Massachusetts General Hospital, 165 Cambridge Street, Suite 600, Boston, Massachusetts, 02114, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Sarah Luppino
- Neurological Clinical Research Institute, Massachusetts General Hospital, 165 Cambridge Street, Suite 600, Boston, Massachusetts, 02114, USA
| | - James Chan
- Massachusetts General Hospital Biostatistics Center, Boston, Massachusetts, USA
| | - Lindsay Pothier
- Neurological Clinical Research Institute, Massachusetts General Hospital, 165 Cambridge Street, Suite 600, Boston, Massachusetts, 02114, USA
| | - David Schoenfeld
- Massachusetts General Hospital Biostatistics Center, Boston, Massachusetts, USA
| | - Patricia L Andres
- Neurological Clinical Research Institute, Massachusetts General Hospital, 165 Cambridge Street, Suite 600, Boston, Massachusetts, 02114, USA
| | - Suma Babu
- Neurological Clinical Research Institute, Massachusetts General Hospital, 165 Cambridge Street, Suite 600, Boston, Massachusetts, 02114, USA
| | - Nicole R Zürcher
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Marco L Loggia
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Robert L Barry
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Silvia Luotti
- IRCCS Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Giovanni Nardo
- IRCCS Mario Negri Institute for Pharmacological Research, Milan, Italy
| | | | - Serena Pantalone
- IRCCS Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Caterina Bendotti
- IRCCS Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Valentina Bonetto
- IRCCS Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Fabiola De Marchi
- Neurological Clinical Research Institute, Massachusetts General Hospital, 165 Cambridge Street, Suite 600, Boston, Massachusetts, 02114, USA
| | - Bruce Rosen
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jacob Hooker
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Merit Cudkowicz
- Neurological Clinical Research Institute, Massachusetts General Hospital, 165 Cambridge Street, Suite 600, Boston, Massachusetts, 02114, USA
| | - Nazem Atassi
- Neurological Clinical Research Institute, Massachusetts General Hospital, 165 Cambridge Street, Suite 600, Boston, Massachusetts, 02114, USA
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72
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Hardiman O. Global burden of motor neuron diseases: mind the gaps. Lancet Neurol 2018; 17:1030-1031. [DOI: 10.1016/s1474-4422(18)30398-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 10/22/2018] [Indexed: 11/25/2022]
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73
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An H, Williams NG, Shelkovnikova TA. NEAT1 and paraspeckles in neurodegenerative diseases: A missing lnc found? Noncoding RNA Res 2018; 3:243-252. [PMID: 30533572 PMCID: PMC6257911 DOI: 10.1016/j.ncrna.2018.11.003] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 11/13/2018] [Accepted: 11/14/2018] [Indexed: 12/13/2022] Open
Abstract
Neurodegenerative diseases are among the most common causes of disability worldwide. Although neurodegenerative diseases are heterogeneous in both their clinical features and the underlying physiology, they are all characterised by progressive loss of specific neuronal populations. Recent experimental evidence suggests that long non-coding RNAs (lncRNAs) play important roles in the CNS in health and disease. Nuclear Paraspeckle Assembly Transcript 1 (NEAT1) is an abundant, ubiquitously expressed lncRNA, which forms a scaffold for a specific RNA granule in the nucleus, or nuclear body, the paraspeckle. Paraspeckles act as molecular hubs for cellular processes commonly affected by neurodegeneration. Transcriptomic analyses of the diseased human tissue have revealed altered NEAT1 levels in the CNS in major neurodegenerative disorders as well as in some disease models. Although it is clear that changes in NEAT1 expression (and in some cases, paraspeckle assembly) accompany neuronal damage, our understanding of NEAT1 contribution to the disease pathogenesis is still rudimentary. In this review, we have summarised the available knowledge on NEAT1 involvement in the molecular processes linked to neurodegeneration and on NEAT1 dysregulation in this type of disease, with a special focus on amyotrophic lateral sclerosis. The goal of this review is to attract the attention of researchers in the field of neurodegeneration to NEAT1 and paraspeckles.
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Affiliation(s)
- Haiyan An
- Medicines Discovery Institute, School of Biosciences, Cardiff University, Park Place, Cardiff, CF10 3AT, United Kingdom
| | - Non G Williams
- Medicines Discovery Institute, School of Biosciences, Cardiff University, Park Place, Cardiff, CF10 3AT, United Kingdom
| | - Tatyana A Shelkovnikova
- Medicines Discovery Institute, School of Biosciences, Cardiff University, Park Place, Cardiff, CF10 3AT, United Kingdom
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Gromicho M, Pinto S, Gisca E, Pronto-Laborinho AC, Andersen PM, de Carvalho M. Frequency of C9orf72 hexanucleotide repeat expansion and SOD1 mutations in Portuguese patients with amyotrophic lateral sclerosis. Neurobiol Aging 2018; 70:325.e7-325.e15. [DOI: 10.1016/j.neurobiolaging.2018.05.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Revised: 05/03/2018] [Accepted: 05/06/2018] [Indexed: 12/11/2022]
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75
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Epigenetic mechanisms in amyotrophic lateral sclerosis: A short review. Mech Ageing Dev 2018; 174:103-110. [DOI: 10.1016/j.mad.2018.03.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Revised: 03/08/2018] [Accepted: 03/11/2018] [Indexed: 12/13/2022]
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76
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Liu X, He J, Gao FB, Gitler AD, Fan D. The epidemiology and genetics of Amyotrophic lateral sclerosis in China. Brain Res 2018; 1693:121-126. [PMID: 29501653 PMCID: PMC6486791 DOI: 10.1016/j.brainres.2018.02.035] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2018] [Revised: 02/20/2018] [Accepted: 02/22/2018] [Indexed: 12/11/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder associated with loss of motor neurons. Previous knowledge of the disease has been mainly based on studies from Caucasian ALS patients of European descent. Here we review the epidemiological characteristics of ALS among the Chinese population in order to compare the similarities and differences between Chinese ALS cases and those from other countries. We describe a potential lower incidence and prevalence of ALS, a younger age of onset and a lower proportion of familial ALS cases in the Chinese population. Additionally, we highlight potential genetic differences between Chinese and Caucasian ALS patients. Most notably, the frequency of GGGGCC repeat expansions in C9ORF72 in Chinese ALS is significantly lower than in Caucasians. Since some conclusions might not be consistent across all of the studies around China to date, we suggest that it is necessary to carry out a prospective population-based study and large-scale gene sequencing around to better define epidemiological and genetic features of Chinese ALS patients.
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Affiliation(s)
- Xiaolu Liu
- Department of Neurology, Peking University Third Hospital, Beijing 100191, PR China
| | - Ji He
- Department of Neurology, Peking University Third Hospital, Beijing 100191, PR China
| | - Fen-Biao Gao
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Aaron D Gitler
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, Beijing 100191, PR China.
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Abstract
Amyotrophic lateral sclerosis (ALS) is the most frequent motor neuron disease, affecting the upper and/or lower motor neurons. However, extramotor symptoms can also occur; cognitive deficits are present in more than 40% of patients and 5–8% of ALS patients develop frontotemporal dementia. There is no effective treatment for ALS and median survival is 2–3 years after onset. Amyotrophic lateral sclerosis is a genetically heterogeneous disorder with monogenic forms as well as complex genetic etiology. Currently, complex genetic risk factors are of minor interest for routine diagnostic testing or counseling of patients and their families. By contrast, a monogenic cause can be identified in 70% of familial and 10% of sporadic ALS cases. The most frequent genetic cause is a noncoding hexanucleotide repeat expansion in the C9orf72 gene. In recent years, high-throughput sequencing technologies have helped to identify additional monogenic and complex risk factors of ALS. Genetic counseling should be offered to all ALS patients and their first- and possibly second-degree relatives, and should include information about the possibilities and limitations of genetic testing. Routine diagnostic testing should at least encompass the most frequently mutated disease genes (C9orf72, SOD1, TDP-43, FUS). Targeted sequencing approaches including further disease genes may be applied. Caution is warranted as the C9orf72 repeat expansion cannot be detected by routine sequencing technologies and testing by polymerase chain reaction (PCR) is failure-prone. Predictive testing is possible in families in which a genetic cause has been identified, but the limitations of genetic testing (i. e., the problems of incomplete penetrance, variable expressivity and possible oligogenic inheritance) have to be explained to the families.
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Sauerbier A, Aris A, Lim EW, Bhattacharya K, Ray Chaudhuri K. Impact of ethnicity on the natural history of Parkinson disease. Med J Aust 2018; 208:410-414. [DOI: 10.5694/mja17.01074] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 05/16/2018] [Indexed: 01/09/2023]
Affiliation(s)
- Anna Sauerbier
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
| | - Azman Aris
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
| | - Ee Wei Lim
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
- National Neuroscience Institute, Singapore
| | | | - K Ray Chaudhuri
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
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Westeneng HJ, Debray TPA, Visser AE, van Eijk RPA, Rooney JPK, Calvo A, Martin S, McDermott CJ, Thompson AG, Pinto S, Kobeleva X, Rosenbohm A, Stubendorff B, Sommer H, Middelkoop BM, Dekker AM, van Vugt JJFA, van Rheenen W, Vajda A, Heverin M, Kazoka M, Hollinger H, Gromicho M, Körner S, Ringer TM, Rödiger A, Gunkel A, Shaw CE, Bredenoord AL, van Es MA, Corcia P, Couratier P, Weber M, Grosskreutz J, Ludolph AC, Petri S, de Carvalho M, Van Damme P, Talbot K, Turner MR, Shaw PJ, Al-Chalabi A, Chiò A, Hardiman O, Moons KGM, Veldink JH, van den Berg LH. Prognosis for patients with amyotrophic lateral sclerosis: development and validation of a personalised prediction model. Lancet Neurol 2018; 17:423-433. [PMID: 29598923 DOI: 10.1016/s1474-4422(18)30089-9] [Citation(s) in RCA: 289] [Impact Index Per Article: 48.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 02/06/2018] [Accepted: 02/21/2018] [Indexed: 12/23/2022]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a relentlessly progressive, fatal motor neuron disease with a variable natural history. There are no accurate models that predict the disease course and outcomes, which complicates risk assessment and counselling for individual patients, stratification of patients for trials, and timing of interventions. We therefore aimed to develop and validate a model for predicting a composite survival endpoint for individual patients with ALS. METHODS We obtained data for patients from 14 specialised ALS centres (each one designated as a cohort) in Belgium, France, the Netherlands, Germany, Ireland, Italy, Portugal, Switzerland, and the UK. All patients were diagnosed in the centres after excluding other diagnoses and classified according to revised El Escorial criteria. We assessed 16 patient characteristics as potential predictors of a composite survival outcome (time between onset of symptoms and non-invasive ventilation for more than 23 h per day, tracheostomy, or death) and applied backward elimination with bootstrapping in the largest population-based dataset for predictor selection. Data were gathered on the day of diagnosis or as soon as possible thereafter. Predictors that were selected in more than 70% of the bootstrap resamples were used to develop a multivariable Royston-Parmar model for predicting the composite survival outcome in individual patients. We assessed the generalisability of the model by estimating heterogeneity of predictive accuracy across external populations (ie, populations not used to develop the model) using internal-external cross-validation, and quantified the discrimination using the concordance (c) statistic (area under the receiver operator characteristic curve) and calibration using a calibration slope. FINDINGS Data were collected between Jan 1, 1992, and Sept 22, 2016 (the largest data-set included data from 1936 patients). The median follow-up time was 97·5 months (IQR 52·9-168·5). Eight candidate predictors entered the prediction model: bulbar versus non-bulbar onset (univariable hazard ratio [HR] 1·71, 95% CI 1·63-1·79), age at onset (1·03, 1·03-1·03), definite versus probable or possible ALS (1·47, 1·39-1·55), diagnostic delay (0·52, 0·51-0·53), forced vital capacity (HR 0·99, 0·99-0·99), progression rate (6·33, 5·92-6·76), frontotemporal dementia (1·34, 1·20-1·50), and presence of a C9orf72 repeat expansion (1·45, 1·31-1·61), all p<0·0001. The c statistic for external predictive accuracy of the model was 0·78 (95% CI 0·77-0·80; 95% prediction interval [PI] 0·74-0·82) and the calibration slope was 1·01 (95% CI 0·95-1·07; 95% PI 0·83-1·18). The model was used to define five groups with distinct median predicted (SE) and observed (SE) times in months from symptom onset to the composite survival outcome: very short 17·7 (0·20), 16·5 (0·23); short 25·3 (0·06), 25·2 (0·35); intermediate 32·2 (0·09), 32·8 (0·46); long 43·7 (0·21), 44·6 (0·74); and very long 91·0 (1·84), 85·6 (1·96). INTERPRETATION We have developed an externally validated model to predict survival without tracheostomy and non-invasive ventilation for more than 23 h per day in European patients with ALS. This model could be applied to individualised patient management, counselling, and future trial design, but to maximise the benefit and prevent harm it is intended to be used by medical doctors only. FUNDING Netherlands ALS Foundation.
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Affiliation(s)
- Henk-Jan Westeneng
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Thomas P A Debray
- Department of Epidemiology, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, Netherlands; Cochrane Netherlands, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Anne E Visser
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Ruben P A van Eijk
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands
| | - James P K Rooney
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin, Ireland
| | - Andrea Calvo
- 'Rita Levi Montalcini' Department of Neuroscience, ALS Centre, University of Torino, Torino, Italy
| | - Sarah Martin
- Maurice Wohl Clinical Neuroscience Institute, and United Kingdom Dementia Research Institute at the Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | | | | | - Susana Pinto
- Institute of Physiology-Instituto de Medicina Molecular, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Xenia Kobeleva
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | | | | | - Helma Sommer
- Neuromuscular Diseases Centre/ALS Clinic, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Bas M Middelkoop
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Annelot M Dekker
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Joke J F A van Vugt
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Wouter van Rheenen
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Alice Vajda
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin, Ireland
| | - Mark Heverin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin, Ireland
| | - Mbombe Kazoka
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Hannah Hollinger
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Marta Gromicho
- Institute of Physiology-Instituto de Medicina Molecular, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Sonja Körner
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Thomas M Ringer
- Hans-Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Annekathrin Rödiger
- Hans-Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Anne Gunkel
- Hans-Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | - Christopher E Shaw
- Maurice Wohl Clinical Neuroscience Institute, and United Kingdom Dementia Research Institute at the Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Annelien L Bredenoord
- Department of Epidemiology, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Michael A van Es
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Philippe Corcia
- Centre de compétence SLA-fédération Tours-Limoges, CHU de Tours, Tours, France
| | - Philippe Couratier
- Centre de compétence SLA-fédération Tours-Limoges, CHU de Limoges, Limoges, France
| | - Markus Weber
- Neuromuscular Diseases Centre/ALS Clinic, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Julian Grosskreutz
- Hans-Berger Department of Neurology, Jena University Hospital, Jena, Germany
| | | | - Susanne Petri
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Mamede de Carvalho
- Institute of Physiology-Instituto de Medicina Molecular, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Philip Van Damme
- Department of Neurology, University Hospital Leuven, Leuven, Belgium; Department of Neurosciences, Katholieke Universiteit, Leuven (University of Leuven) and Centre for Brain and Disease Research, VIB, Leuven, Belgium
| | - Kevin Talbot
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Ammar Al-Chalabi
- Maurice Wohl Clinical Neuroscience Institute, and United Kingdom Dementia Research Institute at the Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Adriano Chiò
- 'Rita Levi Montalcini' Department of Neuroscience, ALS Centre, University of Torino, Torino, Italy
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin, Ireland; Department of Neurology, Beaumont Hospital, Beaumont, Ireland
| | - Karel G M Moons
- Department of Epidemiology, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, Netherlands; Cochrane Netherlands, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Jan H Veldink
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Leonard H van den Berg
- Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands.
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80
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Kaye WE, Wagner L, Wu R, Mehta P. Evaluating the completeness of the national ALS registry, United States. Amyotroph Lateral Scler Frontotemporal Degener 2018; 19:112-117. [PMID: 29020837 PMCID: PMC5815913 DOI: 10.1080/21678421.2017.1384021] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Revised: 09/13/2017] [Accepted: 09/15/2017] [Indexed: 12/11/2022]
Abstract
Our objective was to evaluate the completeness of the United States National ALS Registry (Registry). We compared persons with ALS who were passively identified by the Registry with those actively identified in the State and Metropolitan Area ALS Surveillance project. Cases in the two projects were matched using a combination of identifiers, including, partial social security number, name, date of birth, and sex. The distributions of cases from the two projects that matched/did not match were compared and Chi-square tests conducted to determine statistical significance. There were 5883 ALS cases identified by the surveillance project. Of these, 1116 died before the Registry started, leaving 4767 cases. We matched 2720 cases from the surveillance project to those in the Registry. The cases identified by the surveillance project that did not match cases in the Registry were more likely to be non-white, Hispanic, less than 65 years of age, and from western states. The methods used by the Registry to identify ALS cases, i.e. national administrative data and self-registration, worked well but missed cases. These findings suggest that developing strategies to identify and promote the Registry to those who were more likely to be missing, e.g. non-white and Hispanic, could be beneficial to improving the completeness of the Registry.
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Affiliation(s)
- Wendy E Kaye
- a McKing Consulting Corporation , Atlanta , GA , USA and
| | - Laurie Wagner
- a McKing Consulting Corporation , Atlanta , GA , USA and
| | - Ruoming Wu
- b Agency for Toxic Substances and Disease Registry , Atlanta , GA , USA
| | - Paul Mehta
- b Agency for Toxic Substances and Disease Registry , Atlanta , GA , USA
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81
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Vasta R, Calvo A, Moglia C, Cammarosano S, Manera U, Canosa A, D'Ovidio F, Mazzini L, Chiò A. Spatial epidemiology of amyotrophic lateral sclerosis in Piedmont and Aosta Valley, Italy: a population-based cluster analysis. Eur J Neurol 2018; 25:756-761. [PMID: 29377594 DOI: 10.1111/ene.13586] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 01/19/2018] [Indexed: 01/27/2023]
Abstract
BACKGROUND AND PURPOSE The analysis of the spatial distribution of cases could give important cues on putative environmental causes of a disease. Our aim was to perform a spatial analysis of an amyotrophic lateral sclerosis (ALS) cohort from the Piedmont and Aosta Valley ALS register (PARALS) over a 20-year period. METHODS The address at the moment of diagnosis was considered for each ALS case. Municipalities' and census divisions' resident populations during the 1995-2014 period were obtained. A cluster analysis was performed adopting both Moran's index and the Kulldorff spatial scan statistic. RESULTS A total of 2702 ALS patients were identified. An address was retrieved for 2671 (99%) patients. Moran's index was -0.01 (P value 0.83), thus revealing no clusters. SaTScan identified no statistically significant clusters. When census divisions were considered, Moran's index was 0.13 (P value 0.45); SaTScan revealed one statistically significant small cluster in the province of Alessandria. Here, 0.0099 cases were expected and three cases were observed (relative risk 304.60; 95% confidence interval 109.83-845.88, P value 0.03). DISCUSSION Our study showed a substantial homogeneous distribution of ALS cases in Piedmont and Aosta Valley. The population-based setting and the adoption of proper statistical analyses strengthen the validity of our results. Such a finding further suggests the involvement of multiple environmental and genetic factors in ALS pathogenesis.
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Affiliation(s)
- R Vasta
- ALS Center, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - A Calvo
- ALS Center, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.,Azienda Ospedaliero Universitaria Città della Salute e della Scienza, Turin, Italy
| | - C Moglia
- ALS Center, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.,Azienda Ospedaliero Universitaria Città della Salute e della Scienza, Turin, Italy
| | - S Cammarosano
- ALS Center, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - U Manera
- ALS Center, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - A Canosa
- ALS Center, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - F D'Ovidio
- ALS Center, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - L Mazzini
- ALS Center, Department of Neurology, Azienda Ospedaliero Universitaria Maggiore della Carità, Novara, Italy
| | - A Chiò
- ALS Center, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy.,Azienda Ospedaliero Universitaria Città della Salute e della Scienza, Turin, Italy
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82
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Nakken O, Lindstrøm JC, Tysnes OB, Holmøy T. Assessing amyotrophic lateral sclerosis prevalence in Norway from 2009 to 2015 from compulsory nationwide health registers. Amyotroph Lateral Scler Frontotemporal Degener 2017; 19:303-310. [PMID: 29271248 DOI: 10.1080/21678421.2017.1418004] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE In Norway, diagnoses from specialist health care visits, drug prescriptions, and causes of deaths are registered in compulsory health registers. We aimed to determine amyotrophic lateral sclerosis (ALS) prevalence from 2009 to 2015 by combining these registers. METHODS We validated the Norwegian Patient Registry (NPR) through hospital files, and linked it with the Norwegian Cause of Death Registry and the Norwegian Prescription Database. Poisson regression models were fitted for estimating gender ratios, time trends and possible interactions. Similar models were used for mortality data subtracted from the dataset. RESULTS Eleven percent of patients with at least one ALS-related entry in NPR did not have ALS. ALS prevalence could nevertheless be reliably estimated through ascertaining cases identified in two separate registers, or with at least two entries in NPR with first entry within four years prior to prevalence date. ALS prevalence remained stable, and was 7.6/100,000 (95% CI 6.9-8.4) at 31st December 2015. Mean male:female ratio was higher for prevalence (1.8; 95% CI 1.6-2.0) than for mortality (1.5; 95% CI 1.2-1.8) (p = 0.04). There were also significant regional differences in prevalence (p < 0.01) but not in mortality. CONCLUSIONS Norwegian compulsory health registers provide reliable tools for ALS surveillance, and suggest gender and regional differences in survival after diagnosis.
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Affiliation(s)
- Ola Nakken
- a Institute of Clinical Medicine , Campus Ahus, University of Oslo , Oslo , Norway.,b Department of Neurology , Akershus University Hospital , Lørenskog , Norway
| | - Jonas Christoffer Lindstrøm
- a Institute of Clinical Medicine , Campus Ahus, University of Oslo , Oslo , Norway.,c Helse Sør-Øst Health Services Research Centre , Akershus University Hospital , Lørenskog , Norway
| | - Ole-Bjørn Tysnes
- d Department of Clinical Medicine , University of Bergen , Bergen , Norway , and.,e Department of Neurology , Haukeland University Hospital , Bergen , Norway
| | - Trygve Holmøy
- a Institute of Clinical Medicine , Campus Ahus, University of Oslo , Oslo , Norway.,b Department of Neurology , Akershus University Hospital , Lørenskog , Norway
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83
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Martin S, Trevor-Jones E, Khan S, Shaw K, Marchment D, Kulka A, Ellis CE, Burman R, Turner MR, Carroll L, Mursaleen L, Leigh PN, Shaw CE, Pearce N, Stahl D, Al-Chalabi A. The benefit of evolving multidisciplinary care in ALS: a diagnostic cohort survival comparison. Amyotroph Lateral Scler Frontotemporal Degener 2017; 18:569-575. [PMID: 28719997 DOI: 10.1080/21678421.2017.1349151] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 06/05/2017] [Accepted: 06/20/2017] [Indexed: 12/13/2022]
Abstract
BACKGROUND Care for people with amyotrophic lateral sclerosis (ALS) has altered at King's College Hospital over the last 20 years. The clinic has been a multidisciplinary, specialist, tertiary referral centre since 1995 with a large team with integrated palliative and respiratory care since 2006. We hypothesised that these changes would improve survival. METHODS In this retrospective observational study, patients diagnosed with El Escorial definite, probable and possible ALS between 1995-1998 and 2008-2011 were followed up. The primary outcome measure was a chi-square test for the proportion of each cohort surviving. Kaplan-Meier survival analysis and Cox multivariate regression were secondary analyses. RESULTS There was low reporting of some interventions. Five hundred and forty-seven people were included. Survival between the cohorts was significantly different (p = 0.022) with a higher proportion surviving during 2008-2011. Survival time was 21.6 (95% CI 19.2-24.0) months in the 2008-2011 cohort compared to 19.2 years (15.6-21.6) in the 1995-1998 cohort (log rank p = 0.018). Four hundred and ninety-three cases were included in the Cox regression. Diagnostic cohort was a significant predictor variable (HR 0.79 (0.64-0.97) p = 0.023). CONCLUSIONS These results support the hypothesis that integrated specialist clinics with multidisciplinary input improve survival in ALS.
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Affiliation(s)
- Sarah Martin
- a Department of Basic and Clinical Neuroscience , Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London , London , UK
| | - Emma Trevor-Jones
- a Department of Basic and Clinical Neuroscience , Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London , London , UK
| | - Sabyha Khan
- a Department of Basic and Clinical Neuroscience , Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London , London , UK
| | - Keelan Shaw
- a Department of Basic and Clinical Neuroscience , Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London , London , UK
| | - Deepti Marchment
- a Department of Basic and Clinical Neuroscience , Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London , London , UK
| | - Anna Kulka
- a Department of Basic and Clinical Neuroscience , Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London , London , UK
| | - Catherine E Ellis
- a Department of Basic and Clinical Neuroscience , Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London , London , UK
| | - Rachel Burman
- a Department of Basic and Clinical Neuroscience , Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London , London , UK
| | - Martin R Turner
- b Nuffield Department of Clinical Neurosciences , John Radcliffe Hospital , Oxford , UK
| | - Liam Carroll
- c Trafford Centre for Biomedical Research , Brighton and Sussex Medical School , Falmer , UK , and
| | - Leah Mursaleen
- c Trafford Centre for Biomedical Research , Brighton and Sussex Medical School , Falmer , UK , and
| | - P Nigel Leigh
- c Trafford Centre for Biomedical Research , Brighton and Sussex Medical School , Falmer , UK , and
| | - Christopher E Shaw
- a Department of Basic and Clinical Neuroscience , Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London , London , UK
| | - Neil Pearce
- d Department of Medical Statistics, London School of Hygiene and Tropical Medicine , London , UK
| | - Daniel Stahl
- a Department of Basic and Clinical Neuroscience , Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London , London , UK
| | - Ammar Al-Chalabi
- a Department of Basic and Clinical Neuroscience , Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London , London , UK
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84
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Hardiman O, Al-Chalabi A, Chio A, Corr EM, Logroscino G, Robberecht W, Shaw PJ, Simmons Z, van den Berg LH. Amyotrophic lateral sclerosis. Nat Rev Dis Primers 2017; 3:17071. [PMID: 28980624 DOI: 10.1038/nrdp.2017.71] [Citation(s) in RCA: 842] [Impact Index Per Article: 120.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Amyotrophic lateral sclerosis (ALS), also known as motor neuron disease, is characterized by the degeneration of both upper and lower motor neurons, which leads to muscle weakness and eventual paralysis. Until recently, ALS was classified primarily within the neuromuscular domain, although new imaging and neuropathological data have indicated the involvement of the non-motor neuraxis in disease pathology. In most patients, the mechanisms underlying the development of ALS are poorly understood, although a subset of patients have familial disease and harbour mutations in genes that have various roles in neuronal function. Two possible disease-modifying therapies that can slow disease progression are available for ALS, but patient management is largely mediated by symptomatic therapies, such as the use of muscle relaxants for spasticity and speech therapy for dysarthria.
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Affiliation(s)
- Orla Hardiman
- Academic Unit of Neurology, Room 5.41 Trinity Biomedical Science Institute, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Adriano Chio
- Rita Levi Montalcini Department of Neurosciences, University of Turin, Turin, Italy
| | - Emma M Corr
- Academic Unit of Neurology, Room 5.41 Trinity Biomedical Science Institute, Trinity College Dublin, Pearse Street, Dublin 2, Ireland
| | | | - Wim Robberecht
- KU Leuven-University of Leuven, University Hospitals Leuven, Department of Neurology, Leuven, Belgium
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Zachary Simmons
- Department of Neurology, Milton S. Hershey Medical Center, Penn State Health, Hershey, Pennsylvania, USA
| | - Leonard H van den Berg
- Department of Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
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85
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Pozzi L, Valenza F, Mosca L, Dal Mas A, Domi T, Romano A, Tarlarini C, Falzone YM, Tremolizzo L, Sorarù G, Cerri F, Ferraro PM, Basaia S, Agosta F, Fazio R, Comola M, Comi G, Ferrari M, Quattrini A, Lunetta C, Penco S, Bonanomi D, Carrera P, Riva N. TBK1 mutations in Italian patients with amyotrophic lateral sclerosis: genetic and functional characterisation. J Neurol Neurosurg Psychiatry 2017; 88:869-875. [PMID: 28822984 PMCID: PMC5629935 DOI: 10.1136/jnnp-2017-316174] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 05/31/2017] [Accepted: 06/23/2017] [Indexed: 01/02/2023]
Abstract
BACKGROUND TANK-binding kinase 1 (TBK1) gene has been recently identified as a causative gene of amyotrophic lateral sclerosis (ALS). METHODS We sequenced the TBK1 gene in a cohort of 154 Italian patients with ALS with unclear genetic aetiology. We subsequently assessed the pathogenic potential of novel identified TBK1 variants using functional in vitro studies: expression, targeting and activity were evaluated in patient-derived fibroblasts and in cells transfected with mutated-TBK1 plasmids. RESULTS We identified novel genomic TBK1 variants including two loss-of-function (LoF) (p.Leu59Phefs*16 and c.358+5G>A), two missense (p.Asp118Asn and p.Ile397Thr) and one intronic variant (c.1644-5_1644-2delAATA), in addition to two previously reported pathogenetic missense variants (p.Lys291Glu and p.Arg357Gln). Functional studies in patient-derived fibroblasts revealed that the c.358+5G>A causes aberrant pre-mRNA processing leading TBK1 haploinsufficiency. Biochemical studies in cellular models showed that the truncating variant p.Leu59Phefs*16 abolishes TBK1 protein expression, whereas the p.Asp118Asn variant severely impairs TBK1 phosphorylation activity. Conversely, the p.Ile397Thr variant displayed enhanced phosphorylation activity, whose biological relevance is not clear. CONCLUSION The observed frequency of TBK1 LoF variants was 1.3% (2/154), increasing up to 3.2% (5/154) by taking into account also the functional missense variants that we were able to classify as potentially pathogenic, supporting the relevance of TBK1 in the Italian population with ALS.
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Affiliation(s)
- Laura Pozzi
- Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Fabiola Valenza
- Molecular Neurobiology Laboratory, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Lorena Mosca
- Medical Genetic Unit, Department of Laboratory Medicine, Niguarda Hospital, Milan, Italy
| | - Andrea Dal Mas
- Molecular Neurobiology Laboratory, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Teuta Domi
- Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Alessandro Romano
- Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Claudia Tarlarini
- Medical Genetic Unit, Department of Laboratory Medicine, Niguarda Hospital, Milan, Italy
| | - Yuri Matteo Falzone
- Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy.,Department of Neurology, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Lucio Tremolizzo
- Neurology Unit, "San Gerardo" Hospital and University of Milano-Bicocca, Monza, Italy
| | - Gianni Sorarù
- Department of Neurosciences, Neuromuscular Center, University of Padova, Padua, Italy
| | - Federica Cerri
- Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy.,Department of Neurology, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Pilar M Ferraro
- Neuroimaging Research Unit, Department of Neurology, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Silvia Basaia
- Neuroimaging Research Unit, Department of Neurology, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Department of Neurology, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Raffaella Fazio
- Department of Neurology, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Mauro Comola
- Department of Neurology, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Giancarlo Comi
- Department of Neurology, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy.,Università Vita e Salute San Raffaele, Milan, Italy
| | - Maurizio Ferrari
- Università Vita e Salute San Raffaele, Milan, Italy.,Division of Genetics and Cell Biology, Unit of Genomics for Human Disease Diagnosis, San Raffaele Scientific Institute, Milan, Italy
| | - Angelo Quattrini
- Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Christian Lunetta
- NEuroMuscular Omnicentre (NEMO), Fondazione Serena Onlus, Milan, Italy
| | - Silvana Penco
- Medical Genetic Unit, Department of Laboratory Medicine, Niguarda Hospital, Milan, Italy
| | - Dario Bonanomi
- Molecular Neurobiology Laboratory, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Paola Carrera
- Division of Genetics and Cell Biology, Unit of Genomics for Human Disease Diagnosis, San Raffaele Scientific Institute, Milan, Italy
| | - Nilo Riva
- Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy.,Department of Neurology, Institute of Experimental Neurology (INSPE), Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
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86
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Oh J, Kim JA. Supportive care needs of patients with amyotrophic lateral sclerosis/motor neuron disease and their caregivers: A scoping review. J Clin Nurs 2017; 26:4129-4152. [PMID: 28681543 DOI: 10.1111/jocn.13945] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/24/2017] [Indexed: 12/11/2022]
Abstract
AIMS AND OBJECTIVES To identify the supportive care needs of amyotrophic lateral sclerosis/motor neuron disease patients and their caregivers, categorise and summarise them into a Supportive Care Needs Framework and identify gaps in literature. BACKGROUND Little is known about the supportive care needs of amyotrophic lateral sclerosis/motor neuron disease patients and their caregivers, and this subject has not previously been systemically reviewed. DESIGN Scoping review. METHODS We conducted a scoping review from the MEDLINE, EMBASE, CINAHL and Cochrane databases for the period January 2000-July 2016, using the following inclusion criteria: (i) written in English only, (ii) published in peer-reviewed journals, (iii) at least part of the research considered the supportive care needs perspective of amyotrophic lateral sclerosis/motor neuron disease patients or their caregivers and (iv) the population sample included patients of amyotrophic lateral sclerosis/motor neuron disease or their caregivers. RESULTS Thirty-seven articles were included. Our review shows that amyotrophic lateral sclerosis/motor neuron disease patients and their caregivers' supportive care needs were mentioned across all seven domains of the Supportive Care Needs Framework. Most common were practical needs (n = 24), followed by Informational needs (n = 19), Social needs (n = 18), Psychological needs (n = 16), Physical needs (n = 15), Emotional needs (n = 13) and Spiritual needs (n = 8). CONCLUSION From the perspectives of amyotrophic lateral sclerosis/motor neuron disease patients and their caregivers, there is a significant need for more practical, social, informational, psychological, physical, emotional and spiritual support. RELEVANCE TO CLINICAL PRACTICE The Supportive Care Needs Framework has potential utility in the development of patient-centred support services or healthcare policies and serves as an important base for further studies; especially, specific examples of each supportive care needs domain can guide in clinical settings when healthcare professionals provide multidisciplinary care to amyotrophic lateral sclerosis/motor neuron disease patients and individualised care.
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Affiliation(s)
- Juyeon Oh
- Division of Nursing, Hanyang University, Seoul, Korea.,Cell therapy Center for Intractable Disorders, Hanyang University Hospital, Seoul, Korea
| | - Jung A Kim
- Division of Nursing, Hanyang University, Seoul, Korea
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87
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Vinceti M, Filippini T, Violi F, Rothman KJ, Costanzini S, Malagoli C, Wise LA, Odone A, Signorelli C, Iacuzio L, Arcolin E, Mandrioli J, Fini N, Patti F, Lo Fermo S, Pietrini V, Teggi S, Ghermandi G, Scillieri R, Ledda C, Mauceri C, Sciacca S, Fiore M, Ferrante M. Pesticide exposure assessed through agricultural crop proximity and risk of amyotrophic lateral sclerosis. Environ Health 2017; 16:91. [PMID: 28851431 PMCID: PMC5576246 DOI: 10.1186/s12940-017-0297-2] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2017] [Accepted: 08/14/2017] [Indexed: 05/31/2023]
Abstract
BACKGROUND Epidemiologic studies have raised the possibility that some pesticide compounds induce the neurodegenerative disease amyotrophic lateral sclerosis (ALS), though the available evidence is not entirely consistent. METHODS We conducted a population-based case-control study in two Italian populations to assess the extent to which residence in the vicinity of agricultural crops associated with the application of neurotoxic pesticides is a risk factor for ALS, using crop acreage in proximity to the residence as an index of exposure. RESULTS Based on 703 cases and 2737 controls, we computed an ALS odds ratio of 0.92 (95% confidence interval 0.78-1.09) for those in proximity to agricultural land. Results were not substantially different when using alternative exposure categories or when analyzing specific crop types, with the exception of a higher risk related to exposure to citrus orchards and olive groves in Southern Italy, though based on few exposed subjects (N = 89 and 8, respectively). There was little evidence of any dose-response relation between crop proximity and ALS risk, and using long-term residence instead of current residence did not substantially change our estimates. CONCLUSIONS Though our index of exposure is indirect and subject to considerable misclassification, our results offer little support for the hypothesis that neurotoxic pesticide exposure increases ALS risk.
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Affiliation(s)
- Marco Vinceti
- Environmental, Genetic, and Nutritional Epidemiology Research Center - CREAGEN, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 287 Via Campi, 41125 Modena, Italy
- Department of Epidemiology, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118 USA
| | - Tommaso Filippini
- Environmental, Genetic, and Nutritional Epidemiology Research Center - CREAGEN, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 287 Via Campi, 41125 Modena, Italy
| | - Federica Violi
- Environmental, Genetic, and Nutritional Epidemiology Research Center - CREAGEN, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 287 Via Campi, 41125 Modena, Italy
| | - Kenneth J. Rothman
- Department of Epidemiology, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118 USA
- Research Triangle Institute, Research Triangle Park, 3040 E Cornwallis Road, Durham, NC 27709 USA
| | - Sofia Costanzini
- Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, 10 Via Vivarelli, 41125 Modena, Italy
| | - Carlotta Malagoli
- Environmental, Genetic, and Nutritional Epidemiology Research Center - CREAGEN, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 287 Via Campi, 41125 Modena, Italy
| | - Lauren A. Wise
- Department of Epidemiology, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118 USA
| | - Anna Odone
- Department of Biomedical, Biotechnological, and Translational Sciences, University of Parma, 14 Via Gramsci, 43126 Parma, Italy
| | - Carlo Signorelli
- Department of Biomedical, Biotechnological, and Translational Sciences, University of Parma, 14 Via Gramsci, 43126 Parma, Italy
- School of Medicine, University Vita-Salute San Raffaele, 58 Via Olgettina Milano, 20132 Milan, Italy
| | - Laura Iacuzio
- Environmental, Genetic, and Nutritional Epidemiology Research Center - CREAGEN, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 287 Via Campi, 41125 Modena, Italy
| | - Elisa Arcolin
- Environmental, Genetic, and Nutritional Epidemiology Research Center - CREAGEN, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 287 Via Campi, 41125 Modena, Italy
| | - Jessica Mandrioli
- Department of Neuroscience, S. Agostino-Estense Hospital, and University of Modena and Reggio Emilia, 1355 Via Pietro Giardini, 41126 Modena, Italy
| | - Nicola Fini
- Department of Neuroscience, S. Agostino-Estense Hospital, and University of Modena and Reggio Emilia, 1355 Via Pietro Giardini, 41126 Modena, Italy
| | - Francesco Patti
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 87 Via S. Sofia, 95123 Catania, Italy
| | - Salvatore Lo Fermo
- Neurologic Unit, AOU Policlinico - Vittorio Emanuele, University of Catania, 628 Via Plebiscito, 95124 Catania, Italy
| | - Vladimiro Pietrini
- Department of Neuroscience, Neurology Unit, University of Parma, 14 Via Gramsci, 43126 Parma, Italy
| | - Sergio Teggi
- Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, 10 Via Vivarelli, 41125 Modena, Italy
| | - Grazia Ghermandi
- Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, 10 Via Vivarelli, 41125 Modena, Italy
| | - Renato Scillieri
- Department of Prevention, Catania Local Health Unit, 5 Via Santa Maria la Grande, 95124 Catania, Italy
| | - Caterina Ledda
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 87 Via S. Sofia, 95123 Catania, Italy
| | - Cristina Mauceri
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 87 Via S. Sofia, 95123 Catania, Italy
| | - Salvatore Sciacca
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 87 Via S. Sofia, 95123 Catania, Italy
| | - Maria Fiore
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 87 Via S. Sofia, 95123 Catania, Italy
| | - Margherita Ferrante
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 87 Via S. Sofia, 95123 Catania, Italy
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Hardiman O, van den Berg LH. Edaravone: a new treatment for ALS on the horizon? Lancet Neurol 2017; 16:490-491. [DOI: 10.1016/s1474-4422(17)30163-1] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Accepted: 04/18/2017] [Indexed: 12/13/2022]
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