1
|
Evans LJ, O'Brien D, Shaw PJ. Current neuroprotective therapies and future prospects for motor neuron disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2024; 176:327-384. [PMID: 38802178 DOI: 10.1016/bs.irn.2024.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Four medications with neuroprotective disease-modifying effects are now in use for motor neuron disease (MND). With FDA approvals for tofersen, relyvrio and edaravone in just the past year, 2022 ended a quarter of a century when riluzole was the sole such drug to offer to patients. The acceleration of approvals may mean we are witnessing the beginning of a step-change in how MND can be treated. Improvements in understanding underlying disease biology has led to more therapies being developed to target specific and multiple disease mechanisms. Consideration for how the pipeline of new therapeutic agents coming through in clinical and preclinical development can be more effectively evaluated with biomarkers, advances in patient stratification and clinical trial design pave the way for more successful translation for this archetypal complex neurodegenerative disease. While it must be cautioned that only slowed rates of progression have so far been demonstrated, pre-empting rapid neurodegeneration by using neurofilament biomarkers to signal when to treat, as is currently being trialled with tofersen, may be more effective for patients with known genetic predisposition to MND. Early intervention with personalized medicines could mean that for some patients at least, in future we may be able to substantially treat what is considered by many to be one of the most distressing diseases in medicine.
Collapse
Affiliation(s)
- Laura J Evans
- The Sheffield Institute for Translational Neuroscience, and the NIHR Sheffield Biomedical Research Centre, University of Sheffield, Sheffield, United Kingdom
| | - David O'Brien
- The Sheffield Institute for Translational Neuroscience, and the NIHR Sheffield Biomedical Research Centre, University of Sheffield, Sheffield, United Kingdom
| | - Pamela J Shaw
- The Sheffield Institute for Translational Neuroscience, and the NIHR Sheffield Biomedical Research Centre, University of Sheffield, Sheffield, United Kingdom.
| |
Collapse
|
2
|
Gould RL, McDermott CJ, Thompson BJ, Rawlinson CV, Bursnall M, Bradburn M, Kumar P, Turton EJ, White DA, Serfaty MA, Graham CD, McCracken LM, Goldstein LH, Al-Chalabi A, Orrell RW, Williams T, Noad R, Baker I, Faull C, Lambert T, Chhetri SK, Ealing J, Hanratty A, Radunovic A, Gunawardana N, Meadows G, Gorrie GH, Young T, Lawrence V, Cooper C, Shaw PJ, Howard RJ. Acceptance and Commitment Therapy plus usual care for improving quality of life in people with motor neuron disease (COMMEND): a multicentre, parallel, randomised controlled trial in the UK. Lancet 2024:S0140-6736(24)00533-6. [PMID: 38735299 DOI: 10.1016/s0140-6736(24)00533-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/08/2024] [Accepted: 03/12/2024] [Indexed: 05/14/2024]
Abstract
BACKGROUND Motor neuron disease is a progressive, fatal neurodegenerative disease for which there is no cure. Acceptance and Commitment Therapy (ACT) is a psychological therapy incorporating acceptance, mindfulness, and behaviour change techniques. We aimed to evaluate the effectiveness of ACT plus usual care, compared with usual care alone, for improving quality of life in people with motor neuron disease. METHODS We conducted a parallel, multicentre, two-arm randomised controlled trial in 16 UK motor neuron disease care centres or clinics. Eligible participants were aged 18 years or older with a diagnosis of definite or laboratory-supported probable, clinically probable, or possible familial or sporadic amyotrophic lateral sclerosis; progressive muscular atrophy; or primary lateral sclerosis; which met the World Federation of Neurology's El Escorial diagnostic criteria. Participants were randomly assigned (1:1) to receive up to eight sessions of ACT adapted for people with motor neuron disease plus usual care or usual care alone by a web-based system, stratified by site. Participants were followed up at 6 months and 9 months post-randomisation. Outcome assessors and trial statisticians were masked to treatment allocation. The primary outcome was quality of life using the McGill Quality of Life Questionnaire-Revised (MQOL-R) at 6 months post-randomisation. Primary analyses were multi-level modelling and modified intention to treat among participants with available data. This trial was pre-registered with the ISRCTN Registry (ISRCTN12655391). FINDINGS Between Sept 18, 2019, and Aug 31, 2022, 435 people with motor neuron disease were approached for the study, of whom 206 (47%) were assessed for eligibility, and 191 were recruited. 97 (51%) participants were randomly assigned to ACT plus usual care and 94 (49%) were assigned to usual care alone. 80 (42%) of 191 participants were female and 111 (58%) were male, and the mean age was 63·1 years (SD 11·0). 155 (81%) participants had primary outcome data at 6 months post-randomisation. After controlling for baseline scores, age, sex, and therapist clustering, ACT plus usual care was superior to usual care alone for quality of life at 6 months (adjusted mean difference on the MQOL-R of 0·66 [95% CI 0·22-1·10]; d=0·46 [0·16-0·77]; p=0·0031). Moderate effect sizes were clinically meaningful. 75 adverse events were reported, 38 of which were serious, but no adverse events were deemed to be associated with the intervention. INTERPRETATION ACT plus usual care is clinically effective for maintaining or improving quality of life in people with motor neuron disease. As further evidence emerges confirming these findings, health-care providers should consider how access to ACT, adapted for the specific needs of people with motor neuron disease, could be provided within motor neuron disease clinical services. FUNDING National Institute for Health and Care Research Health Technology Assessment and Motor Neurone Disease Association.
Collapse
Affiliation(s)
- Rebecca L Gould
- Division of Psychiatry, University College London, London, UK.
| | - Christopher J McDermott
- Sheffield Institute for Translational Neuroscience, and the NIHR Sheffield Biomedical Research Centre, University of Sheffield, Sheffield, UK
| | | | | | - Matt Bursnall
- Clinical Trials Research Unit, University of Sheffield, Sheffield, UK
| | - Mike Bradburn
- Clinical Trials Research Unit, University of Sheffield, Sheffield, UK
| | - Pavithra Kumar
- Clinical Trials Research Unit, University of Sheffield, Sheffield, UK
| | - Emily J Turton
- Clinical Trials Research Unit, University of Sheffield, Sheffield, UK
| | - David A White
- Clinical Trials Research Unit, University of Sheffield, Sheffield, UK
| | - Marc A Serfaty
- Division of Psychiatry, University College London, London, UK; Priory Hospital North London, London, UK
| | - Christopher D Graham
- Department of Psychological Sciences & Health, University of Strathclyde, Glasgow, UK
| | | | - Laura H Goldstein
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ammar Al-Chalabi
- Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
| | - Richard W Orrell
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Tim Williams
- The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Rupert Noad
- Department of Neuropsychology, Derriford Hospital, Plymouth, UK
| | - Idris Baker
- Swansea Bay University Health Board, Swansea, UK
| | | | - Thomas Lambert
- Department of Neurosciences, University Hospitals of North Midlands NHS Trust, Stoke-on-Trent, UK
| | - Suresh K Chhetri
- Regional Neurosciences Centre, Lancashire Teaching Hospitals NHS Foundation Trust, Lancashire, UK
| | - John Ealing
- Northern Care Alliance NHS Trust, Salford, UK
| | | | | | - Nushan Gunawardana
- Department of Neurology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Gail Meadows
- Department of Psychological Medicine, Northern Lincolnshire and Goole NHS Foundation Trust, Grimsby, UK
| | - George H Gorrie
- Institute of Neurological Sciences, Queen Elizabeth University Hospital, Glasgow, UK
| | - Tracey Young
- Division of Population Health, Sheffield Centre for Health and Related Research, University of Sheffield, Sheffield, UK
| | - Vanessa Lawrence
- Health Services & Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Cindy Cooper
- Clinical Trials Research Unit, University of Sheffield, Sheffield, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, and the NIHR Sheffield Biomedical Research Centre, University of Sheffield, Sheffield, UK
| | - Robert J Howard
- Division of Psychiatry, University College London, London, UK
| |
Collapse
|
3
|
van Unnik JWJ, Meyjes M, Janse van Mantgem MR, van den Berg LH, van Eijk RPA. Remote monitoring of amyotrophic lateral sclerosis using wearable sensors detects differences in disease progression and survival: a prospective cohort study. EBioMedicine 2024; 103:105104. [PMID: 38582030 PMCID: PMC11004066 DOI: 10.1016/j.ebiom.2024.105104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 03/20/2024] [Accepted: 03/20/2024] [Indexed: 04/08/2024] Open
Abstract
BACKGROUND There is an urgent need for objective and sensitive measures to quantify clinical disease progression and gauge the response to treatment in clinical trials for amyotrophic lateral sclerosis (ALS). Here, we evaluate the ability of an accelerometer-derived outcome to detect differential clinical disease progression and assess its longitudinal associations with overall survival in patients with ALS. METHODS Patients with ALS wore an accelerometer on the hip for 3-7 days, every 2-3 months during a multi-year observation period. An accelerometer-derived outcome, the Vertical Movement Index (VMI), was calculated, together with predicted disease progression rates, and jointly analysed with overall survival. The clinical utility of VMI was evaluated using comparisons to patient-reported functionality, while the impact of various monitoring schemes on empirical power was explored through simulations. FINDINGS In total, 97 patients (70.1% male) wore the accelerometer for 1995 days, for a total of 27,701 h. The VMI was highly discriminatory for predicted disease progression rates, revealing faster rates of decline in patients with a worse predicted prognosis compared to those with a better predicted prognosis (p < 0.0001). The VMI was strongly associated with the hazard for death (HR 0.20, 95% CI: 0.09-0.44, p < 0.0001), where a decrease of 0.19-0.41 unit was associated with reduced ambulatory status. Recommendations for future studies using accelerometery are provided. INTERPRETATION The results serve as motivation to incorporate accelerometer-derived outcomes in clinical trials, which is essential for further validation of these markers to meaningful endpoints. FUNDING Stichting ALS Nederland (TRICALS-Reactive-II).
Collapse
Affiliation(s)
- Jordi W J van Unnik
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Myrte Meyjes
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Mark R Janse van Mantgem
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Ruben P A van Eijk
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands; Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands.
| |
Collapse
|
4
|
Genuis SK, Luth W, Magnussen C, Vande Velde C, Taylor D, Johnston WS. Patient engagement in research: lessons learned from CAPTURE ALS, a longitudinal observational ALS study. Amyotroph Lateral Scler Frontotemporal Degener 2024:1-10. [PMID: 38519870 DOI: 10.1080/21678421.2024.2328599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/04/2024] [Indexed: 03/25/2024]
Abstract
Objective: There are compelling ethical and practical reasons for patient engagement in research (PEIR), however, evidence for best practices remains limited. We investigated PEIR as implemented in CAPTURE ALS, a longitudinal observational study, from study inception through the first 2.5 years of operations. Methods: Data were drawn from three engagement initiatives: a community-led letter-writing campaign; consultation with patient and caregiver focus groups; and a study-embedded 'participant partner advisory council' (PPAC). Data were derived retrospectively from study documentation. We used the International Association of Public Participation (IAP2) participation spectrum as a framework for investigation. Results: 2401 letters from community members to the Canadian government affirmed study objectives and advocated for funding. Feedback from focus group consultation influenced study design and supported the study's data-sharing plan. PPAC collaboration shaped all aspects of the study. Contributions included: co-creation of governance documents, input on study protocols and public-facing communication, and development of engagement webinars for study participants and feedback surveys. Effective communication practices fostered collaboration and helped avoid tokenistic engagement. CAPTURE ALS encompassed all IAP2 participation levels. Conclusions: CAPTURE ALS was shaped by meaningful engagement initiatives over the course of the study. Lessons learned included: begin early and embed PEIR within research; build relationships and foster mutual learning; be flexible, open to adaptation, and seek diversity. Primary challenges included funding for early implementation, time needed to maintain relationships, and attrition due to disease progression. All IAP2 participation levels contributed to meaningful PEIR. 'Empowerment' was demonstrated through advocacy.
Collapse
Affiliation(s)
- Shelagh K Genuis
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Westerly Luth
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Claire Magnussen
- Montreal Neurological Institute-Hospital, McGill University, Montreal, QC, Canada
| | | | | | - Wendy S Johnston
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| |
Collapse
|
5
|
Zucchi E, Musazzi UM, Fedele G, Martinelli I, Gianferrari G, Simonini C, Fini N, Ghezzi A, Caputo M, Sette E, Vacchiano V, Zinno L, Anceschi P, Canali E, Vinceti M, Ferro S, Mandrioli J. Effect of tauroursodeoxycholic acid on survival and safety in amyotrophic lateral sclerosis: a retrospective population-based cohort study. EClinicalMedicine 2023; 65:102256. [PMID: 37842553 PMCID: PMC10570688 DOI: 10.1016/j.eclinm.2023.102256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 10/17/2023] Open
Abstract
Background Oral tauroursodeoxycholic acid (TUDCA) is a commercial drug currently tested in patients with amyotrophic lateral sclerosis (ALS) both singly and combined with sodium phenylbutyrate. This retrospective study aimed to investigate, in a real-world setting, whether TUDCA had an impact on the overall survival of patients with ALS who were treated with this drug compared to those patients who received standard care only. Methods This propensity score-matched study was conducted in the Emilia Romagna Region (Italy), which has had an ALS regional registry since 2009. Out of 627 patients with ALS diagnosed from January 1st, 2015 to June 30th, 2021 and recorded in the registry with available information on death/tracheostomy, 86 patients took TUDCA and were matched in a 1:2 ratio with patients who received only usual care according to age at onset, sex, phenotype, diagnostic latency, ALS Functional Rating Scale-Revised (ALSFRS-R) at first visit, disease progression rate at first visit, and BMI at diagnosis. The primary outcome was survival difference (time from onset of symptoms to tracheostomy/death) between TUDCA exposed and unexposed patients. Findings A total of 86 patients treated with TUDCA were matched to 172 patients who did not receive treatment. TUDCA-exposed patients were stratified based on dosage (less than or equal to 1000 mg/day or greater) and duration (less than or equal to 12 months or longer) of treatment. The median overall survival was 49.6 months (95% CI 41.7-93.5) among those treated with TUDCA and 36.2 months (95% CI 32.7-41.6) in the control group, with a reduced risk of death observed in patients exposed to a higher dosage (defined as ≥ 1000 mg/day) of TUDCA (HR 0.56; 95% CI 0.38-0.83; p = 0.0042) compared to both the control group and those with lower TUDCA dosages (defined as < 1000 mg/day). TUDCA was generally well-tolerated, except for a minority of patients (n = 7, 8.1%) who discontinued treatment due to side effects, primarily gastrointestinal and mild in severity; only 2 adverse events required hospital access but resolved without sequelae. Interpretation In this population-based exploratory study, patients with ALS who were treated with TUDCA may have prolonged survival compared to patients receiving standard care only. Additional prospective randomized studies are needed to confirm the efficacy and safety of this drug. Funding Emilia-Romagna Region.
Collapse
Affiliation(s)
- Elisabetta Zucchi
- Neuroscience PhD Program, University of Modena and Reggio Emilia, Modena, Italy
- Department of Neurosciences, Azienda Ospedaliero-Universitaria Di Modena, Modena, Italy
| | - Umberto Maria Musazzi
- Department of Pharmaceutical Sciences, Università degli Studi di Milano, via G. Colombo 71, 20133, Milan, Italy
| | - Guido Fedele
- Associazione Farmaceutici dell'Industria (AFI), Viale Ranzoni 1, 20149, Milano, Italy
| | - Ilaria Martinelli
- Department of Neurosciences, Azienda Ospedaliero-Universitaria Di Modena, Modena, Italy
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Giulia Gianferrari
- Department of Neurosciences, Azienda Ospedaliero-Universitaria Di Modena, Modena, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Cecilia Simonini
- Department of Neurosciences, Azienda Ospedaliero-Universitaria Di Modena, Modena, Italy
| | - Nicola Fini
- Department of Neurosciences, Azienda Ospedaliero-Universitaria Di Modena, Modena, Italy
| | - Andrea Ghezzi
- Department of Neurosciences, Azienda Ospedaliero-Universitaria Di Modena, Modena, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Maria Caputo
- Department of Neurosciences, Azienda Ospedaliero-Universitaria Di Modena, Modena, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | | | - Veria Vacchiano
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Lucia Zinno
- Neurology Unit, Department of Neuroscience, University of Parma, Parma, Italy
| | - Pietro Anceschi
- Unit of Neurosciences, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Elena Canali
- Department of Neurology, IRCCS Arcispedale Santa Maria Nuova, Reggio Emilia, Italy
| | - Marco Vinceti
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), University of Modena and Reggio Emilia Medical School, Modena, Italy
- Department of Epidemiology, Boston University School of Public Health, Boston, USA
| | - Salvatore Ferro
- Department of Hospital Services, Emilia Romagna Regional Health Authority, Bologna, Italy
| | - Jessica Mandrioli
- Department of Neurosciences, Azienda Ospedaliero-Universitaria Di Modena, Modena, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| |
Collapse
|
6
|
Genuis SK, Luth W, Weber G, Bubela T, Johnston WS. Asynchronous online focus groups for research with people living with amyotrophic lateral sclerosis and family caregivers: usefulness, acceptability and lessons learned. BMC Med Res Methodol 2023; 23:222. [PMID: 37803257 PMCID: PMC10557269 DOI: 10.1186/s12874-023-02051-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 09/28/2023] [Indexed: 10/08/2023] Open
Abstract
BACKGROUND People with amyotrophic lateral sclerosis (ALS) face disability- and travel-related barriers to research participation. We investigate the usefulness and acceptability of asynchronous, online focus groups (AOFGs) for research involving people affected by ALS (patients and family caregivers) and outline lessons learned. METHODS The ALS Talk Project, consisting of seven AOFGs and 100 participants affected by ALS, provided context for this investigation. Hosted on the secure itracks Board™ platform, participants interacted in a threaded web forum structure. Moderators posted weekly discussion questions and facilitated discussion. Data pertaining to methodology, participant interaction and experience, and moderator technique were analyzed using itracks and NVivo 12 analytics (quantitative) and conventional content analysis and the constant-comparative approach (qualitative). RESULTS There was active engagement within groups, with post lengths averaging 111.48 words and a complex network of branching interactions between participants. One third of participant responses included individual reflections without further interaction. Participants affirmed their co-group members, offered practical advice, and discussed shared and differing perspectives. Moderators responded to all posts, indicating presence and probing answers. AOFGs facilitated qualitative and quantitative data-gathering and flexible response to unanticipated events. Although total participation fell below 50% after 10-12 weeks, participants valued interacting with peers in an inclusive, confidential forum. Participants used a variety of personal devices, browsers, and operating systems when interacting on the online platform. CONCLUSIONS This methodological examination of AOFGs for patient-centred investigations involving people affected by ALS demonstrates their usefulness and acceptability, and advances knowledge of online research methodologies. Lessons learned include: early identification of research goals and participant needs is critical to selecting an AOFG platform; although duration longer than 10-12 weeks may be burdensome in this population, participants were positive about AOFGs; AOFGs offer real world flexibility enabling response to research challenges and opportunities; and, AOGFs can effectively foster safe spaces for sharing personal perspectives and discussing sensitive topics. With moderators playing an important role in fostering engagement, AOFGs facilitated rich data gathering and promoted reciprocity by fostering the exchange of ideas and interaction between peers. Findings may have implications for research involving other neurologically impaired and/or medically vulnerable populations.
Collapse
Affiliation(s)
- Shelagh K Genuis
- Division of Neurology, Department of Medicine, University of Alberta, 7-123 Clinical Sciences Building, Edmonton, AB, T6G 2B7, Canada
| | - Westerly Luth
- Division of Neurology, Department of Medicine, University of Alberta, 7-123 Clinical Sciences Building, Edmonton, AB, T6G 2B7, Canada
| | | | - Tania Bubela
- Faculty of Health Sciences, Simon Fraser University, Blusson Hall 11328 8888 University Drive, Burnaby, BC, V5A 1S6, Canada
| | - Wendy S Johnston
- Division of Neurology, Department of Medicine, University of Alberta, 7-123 Clinical Sciences Building, Edmonton, AB, T6G 2B7, Canada.
| |
Collapse
|
7
|
van Eenennaam RM, Kruithof W, Beelen A, Bakker LA, van Eijk RPA, Maessen M, Baardman JF, Visser-Meily JMA, Veldink JH, van den Berg LH. Frequency of euthanasia, factors associated with end-of-life practices, and quality of end-of-life care in patients with amyotrophic lateral sclerosis in the Netherlands: a population-based cohort study. Lancet Neurol 2023; 22:591-601. [PMID: 37353279 DOI: 10.1016/s1474-4422(23)00155-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 06/25/2023]
Abstract
BACKGROUND Amyotrophic lateral sclerosis is a progressive and lethal neurodegenerative disease that is at the forefront of debates on regulation of assisted dying. Since 2002, when euthanasia was legally regulated in the Netherlands, the frequency of this end-of-life practice has increased substantially from 1·7% of all deaths in 1990 and 2005 to 4·5% in 2015. We aimed to investigate whether the frequency of euthanasia in patients with amyotrophic lateral sclerosis had similarly increased since 2002, and to assess the factors associated with end-of-life practices and the quality of end-of-life care in patients with this disease. METHODS Using data from the Netherlands ALS registry, we did a population-based cohort study of clinicians and informal caregivers of patients with amyotrophic lateral sclerosis to assess factors associated with end-of-life decision making and the quality of end-of-life care. We included individuals who were diagnosed with amyotrophic lateral sclerosis according to the revised El-Escorial criteria, and who died between Jan 1, 2014, and Dec 31, 2016. We calculated the frequency of euthanasia in patients with amyotrophic lateral sclerosis from reports made to euthanasia review committees (ERCs) between 2012 and 2020. Results were compared with clinic-based survey studies conducted in 1994-2005. End-of-life practices were end-of-life decisions by a clinician when hastening of death was considered as the potential, probable, or definite effect comprising euthanasia, physician-assisted suicide, ending of life without explicit request, forgoing life-prolonging treatment, and intensified alleviation of symptoms. FINDINGS Between Jan 1, 2012, and Dec 31, 2020, 4130 reports of death from amyotrophic lateral sclerosis were made to ERCs, of which 1014 were from euthanasia or physician-assisted suicide (mean frequency 25% [SD 3] per year). Sex and gender data were unavailable from the ERC registry. Of 884 patients with amyotrophic lateral sclerosis who died between Jan 1, 2014, and Dec 31, 2016, their treating clinician was identified for 731 and a caregiver was identified for 741, of whom 356 (49%) and 450 (61%), respectively, agreed to participate in the population-based survey study. According to clinicians, end-of-life practices were chosen by 280 (79%) of 356 patients with amyotrophic lateral sclerosis who died. The frequency of euthanasia in patients with amyotrophic lateral sclerosis in 2014-16 (141 [40%] of 356 deaths in patients with amyotrophic lateral sclerosis) was higher than in 1994-98 (35 [17%] of 203) and 2000-05 (33 [16%] of 209). Median survival of patients with amyotrophic lateral sclerosis from diagnosis was 15·9 months (95% CI 12·6-17·6) for those who chose euthanasia and 16·1 months (13·4-19·1) for those who did not choose euthanasia (hazard ratio 1·07, 95% CI 0·85-1·34; p=0·58). According to caregivers, compared with other end-of-life practices, patients with amyotrophic lateral sclerosis choosing euthanasia commonly reported reasons to hasten death as no chance of improvement (53 [56%] of 94 patients who chose euthanasia vs 28 [39%] of 72 patients who chose other end-of-life practices), loss of dignity (47 [50%] vs 15 [21%]), dependency (34 [36%] vs five [7%]), and fatigue or extreme weakness (41 [44%] vs 14 [20%]). According to caregivers, people with amyotrophic lateral sclerosis-whether they chose euthanasia or did not-were satisfied with the general quality (83 [93%] of 89 patients who chose euthanasia vs 73 [86%] of 85 patients who did not) and availability (85 [97%] of 88 vs 81 [91%] of 90) of end-of-life care. INTERPRETATION The proportion of patients with amyotrophic lateral sclerosis who chose euthanasia in the Netherlands has increased since 2002. The choice of euthanasia was not associated with disease or patient characteristics, depression or hopelessness, or the availability or quality of end-of-life care. The choice of euthanasia had no effect on overall survival. Future studies could focus on the effect of discussing end-of-life options on quality of life as part of multidisciplinary care throughout the course of the disease, to reduce feelings of loss of autonomy and dignity in patients living with amyotrophic lateral sclerosis. FUNDING Netherlands ALS Foundation.
Collapse
Affiliation(s)
- Remko M van Eenennaam
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands; Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands; De Hoogstraat Rehabilitation, Utrecht, Netherlands
| | - Willeke Kruithof
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands; Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands; De Hoogstraat Rehabilitation, Utrecht, Netherlands
| | - Anita Beelen
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands; Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands; De Hoogstraat Rehabilitation, Utrecht, Netherlands
| | - Leonhard A Bakker
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands; Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands; Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands; De Hoogstraat Rehabilitation, Utrecht, Netherlands
| | - Ruben P A van Eijk
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands; Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Maud Maessen
- University Center for Palliative Care, Inselspital University Hospital Bern, and Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Joost F Baardman
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Johanna M A Visser-Meily
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands; Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands; De Hoogstraat Rehabilitation, Utrecht, Netherlands
| | - Jan H Veldink
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands.
| |
Collapse
|
8
|
Sennfält S, Kläppe U, Thams S, Samuelsson K, Press R, Fang F, Ingre C. The path to diagnosis in ALS: delay, referrals, alternate diagnoses, and clinical progression. Amyotroph Lateral Scler Frontotemporal Degener 2023; 24:45-53. [PMID: 35343340 DOI: 10.1080/21678421.2022.2053722] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Objective: To provide a detailed and differentiated description of the path to receiving the correct amyotrophic lateral sclerosis (ALS) diagnosis, including delay times, referrals, alternate diagnoses, and clinical progression.Methods: Medical records until the date of ALS diagnosis were reviewed and linked to the Swedish Motor Neuron Disease Quality Registry.Results: The study included 353 Stockholm ALS patients diagnosed in 2016-2021. Patients were divided into four groups: 117 (33.1%) with lower extremity (LE), 85 (24.1%) with upper extremity (UE), 136 (38.5%) with bulbar, and 15 (4.2%) with respiratory onset. The time from onset to diagnosis was 16.0 (9.4-27.5) months in LE, 12.9 (8.8-17.8) months in UE, 11.7 (7.4-16.0) months in bulbar, and 8.3 (4.7-15.6) months in respiratory onset. Patients with UE or LE onset were often referred to orthopedics or a spinal/hand surgery clinic (29.3% for LE and 41.8% for UE), while bulbar patients were more frequently referred to ENT (66.3%). For those with LE or UE onset, the most common alternate diagnosis was spinal/foraminal stenosis whereas myasthenia gravis and stroke were more common for bulbar onset patients. For the respiratory group, cardiopulmonary diagnoses predominated. The proportion of all patients in King's stage 3 or 4 increased from 11.3% to 46.1% from the initial health care visit to diagnosis.Conclusions: There was great variation in the path to ALS diagnosis according to the onset clinical phenotype. In all groups, the diagnostic delay and clinical progression was substantial. We identified subgroups where the delay was the longest and might be reduced.
Collapse
Affiliation(s)
- Stefan Sennfält
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and
| | - Ulf Kläppe
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and
| | - Sebastian Thams
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and
| | - Kristin Samuelsson
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and
| | - Rayomand Press
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and
| | - Fang Fang
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Caroline Ingre
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and
| |
Collapse
|
9
|
Saucier D, Registe PPW, Bélanger M, O'Connell C. Urbanization, air pollution, and water pollution: Identification of potential environmental risk factors associated with amyotrophic lateral sclerosis using systematic reviews. Front Neurol 2023; 14:1108383. [PMID: 36970522 PMCID: PMC10030603 DOI: 10.3389/fneur.2023.1108383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 02/13/2023] [Indexed: 03/29/2023] Open
Abstract
Introduction Despite decades of research, causes of ALS remain unclear. To evaluate recent hypotheses of plausible environmental factors, the aim of this study was to synthesize and appraise literature on the potential associations between the surrounding environment, including urbanization, air pollution and water pollution, and ALS. Methods We conducted a series (n = 3) of systematic reviews in PubMed and Scopus to identify epidemiological studies assessing relationships between urbanization, air pollution and water pollution with the development of ALS. Results The combined search strategy led to the inclusion of 44 articles pertaining to at least one exposure of interest. Of the 25 included urbanization studies, four of nine studies on living in rural areas and three of seven studies on living in more highly urbanized/dense areas found positive associations to ALS. There were also three of five studies for exposure to electromagnetic fields and/or proximity to powerlines that found positive associations to ALS. Three case-control studies for each of diesel exhaust and nitrogen dioxide found positive associations with the development of ALS, with the latter showing a dose-response in one study. Three studies for each of high selenium content in drinking water and proximity to lakes prone to cyanobacterial blooms also found positive associations to ALS. Conclusion Whereas markers of air and water pollution appear as potential risk factors for ALS, results are mixed for the role of urbanization.
Collapse
Affiliation(s)
- Daniel Saucier
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
- Center de formation médicale du Nouveau-Brunswick, Moncton, NB, Canada
- *Correspondence: Daniel Saucier
| | - Pierre Philippe Wilson Registe
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
- Center de formation médicale du Nouveau-Brunswick, Moncton, NB, Canada
| | - Mathieu Bélanger
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
- Center de formation médicale du Nouveau-Brunswick, Moncton, NB, Canada
| | - Colleen O'Connell
- Stan Cassidy Center for Rehabilitation, Fredericton, NB, Canada
- Department of Medicine, Dalhousie Medicine New Brunswick, Saint John, NB, Canada
| |
Collapse
|
10
|
De Carvalho M, Swash M. Transcranial magnetic stimulation to monitor disease progression in ALS: a review. Amyotroph Lateral Scler Frontotemporal Degener 2022. [DOI: 10.1080/21678421.2022.2160649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Mamede De Carvalho
- Instituto de Fisiologia, Instituto de Medicina Molecular, Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte, Lisboa, Portugal, and
| | - Michael Swash
- Instituto de Fisiologia, Instituto de Medicina Molecular, Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Barts and the London School of Medicine, Queen Mary University of London, UK
| |
Collapse
|
11
|
Willemse SW, Roes KCB, Van Damme P, Hardiman O, Ingre C, Povedano M, Wray NR, Gijzen M, de Pagter MS, Demaegd KC, Janse AFC, Vink RG, Sleutjes BTHM, Chiò A, Corcia P, Reviers E, Al-Chalabi A, Kiernan MC, van den Berg LH, van Es MA, van Eijk RPA. Lithium carbonate in amyotrophic lateral sclerosis patients homozygous for the C-allele at SNP rs12608932 in UNC13A: protocol for a confirmatory, randomized, group-sequential, event-driven, double-blind, placebo-controlled trial. Trials 2022; 23:978. [PMID: 36471413 PMCID: PMC9721045 DOI: 10.1186/s13063-022-06906-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 11/03/2022] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Given the large genetic heterogeneity in amyotrophic lateral sclerosis (ALS), it seems likely that genetic subgroups may benefit differently from treatment. An exploratory meta-analysis identified that patients homozygous for the C-allele at SNP rs12608932, a single nucleotide polymorphism in the gene UNC13A, had a statistically significant survival benefit when treated with lithium carbonate. We aim to confirm the efficacy of lithium carbonate on the time to death or respiratory insufficiency in patients with ALS homozygous for the C-allele at SNP rs12608932 in UNC13A. METHODS A randomized, group-sequential, event-driven, double-blind, placebo-controlled trial will be conducted in 15 sites across Europe and Australia. Patients will be genotyped for UNC13A; those homozygous for the C-allele at SNP rs12608932 will be eligible. Patients must have a diagnosis of ALS according to the revised El Escorial criteria, and a TRICALS risk-profile score between -6.0 and -2.0. An expected number of 1200 patients will be screened in order to enroll a target sample size of 171 patients. Patients will be randomly allocated in a 2:1 ratio to lithium carbonate or matching placebo, and treated for a maximum duration of 24 months. The primary endpoint is the time to death or respiratory insufficiency, whichever occurs first. Key secondary endpoints include functional decline, respiratory function, quality of life, tolerability, and safety. An interim analysis for futility and efficacy will be conducted after the occurrence of 41 events. DISCUSSION Lithium carbonate has been proven to be safe and well-tolerated in patients with ALS. Given the favorable safety profile, the potential benefits are considered to outweigh the burden and risks associated with study participation. This study may provide conclusive evidence about the life-prolonging potential of lithium carbonate in a genetic ALS subgroup. TRIAL REGISTRATION EudraCT number 2020-000579-19 . Registered on 29 March 2021.
Collapse
Affiliation(s)
- Sean W Willemse
- Department of Neurology, UMC Utrecht, Utrecht, The Netherlands
| | - Kit C B Roes
- Department of Health Evidence, Radboud UMC, Nijmegen, The Netherlands
| | - Philip Van Damme
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Orla Hardiman
- Department of Neurology, National Neuroscience Centre, Beaumont Hospital, Dublin, Ireland
- FutureNeuro SFI Research Centre, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Caroline Ingre
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Monica Povedano
- Functional Unit of Amyotrophic Lateral Sclerosis (UFELA), Service of Neurology, Bellvitge University Hospital, Hospitalet de Llobregat, Spain
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Marleen Gijzen
- Department of Genetics, UMC Utrecht, Utrecht, The Netherlands
| | | | - Koen C Demaegd
- Department of Neurology, UMC Utrecht, Utrecht, The Netherlands
| | | | | | | | - Adriano Chiò
- 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
- Neurology, AOU Città della Salute e della Scienza Hospital of Turin, Turin, Italy
| | - Philippe Corcia
- Centre Constitutif SLA, CHRU de Tours - Fédération des centres SLA Tours-Limoges, LitORALS, Tours, France
| | - Evy Reviers
- European Organization for Professionals and Patients with ALS (EUpALS) & ALS Liga Belgium, Leuven, Belgium
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, King's College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
- Department of Neurology, King's College Hospital, London, UK
| | - Matthew C Kiernan
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | | | | | - Ruben P A van Eijk
- Department of Neurology, UMC Utrecht, Utrecht, The Netherlands.
- Biostatistics and Research Support, Julius Centre for Health Sciences and Primary Care, Utrecht University, Utrecht, Netherlands.
| |
Collapse
|
12
|
Beswick E, Fawcett T, Hassan Z, Forbes D, Dakin R, Newton J, Abrahams S, Carson A, Chandran S, Perry D, Pal S. A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease. J Neurol 2022; 269:6254-6268. [PMID: 35945397 PMCID: PMC9363141 DOI: 10.1007/s00415-022-11312-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 07/22/2022] [Accepted: 07/25/2022] [Indexed: 11/17/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is the most common subtype of motor neuron disease (MND). The current gold-standard measure of progression is the ALS Functional Rating Scale-Revised (ALS-FRS(R)), a clinician-administered questionnaire providing a composite score on physical functioning. Technology offers a potential alternative for assessing motor progression in both a clinical and research capacity that is more sensitive to detecting smaller changes in function. We reviewed studies evaluating the utility and suitability of these devices to evaluate motor function and disease progression in people with MND (pwMND). We systematically searched Google Scholar, PubMed and EMBASE applying no language or date restrictions. We extracted information on devices used and additional assessments undertaken. Twenty studies, involving 1275 (median 28 and ranging 6-584) pwMND, were included. Sensor type included accelerometers (n = 9), activity monitors (n = 4), smartphone apps (n = 4), gait (n = 3), kinetic sensors (n = 3), electrical impedance myography (n = 1) and dynamometers (n = 2). Seventeen (85%) of studies used the ALS-FRS(R) to evaluate concurrent validity. Participant feedback on device utility was generally positive, where evaluated in 25% of studies. All studies showed initial feasibility, warranting larger longitudinal studies to compare device sensitivity and validity beyond ALS-FRS(R). Risk of bias in the included studies was high, with a large amount of information to determine study quality unclear. Measurement of motor pathology and progression using technology is an emerging, and promising, area of MND research. Further well-powered longitudinal validation studies are needed.
Collapse
Affiliation(s)
- Emily Beswick
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK.,Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, Scotland, UK.,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Thomas Fawcett
- The School of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Zack Hassan
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK.,Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, Scotland, UK.,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Deborah Forbes
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK.,Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, Scotland, UK.,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Rachel Dakin
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK.,Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, Scotland, UK.,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Judith Newton
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK.,Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, Scotland, UK.,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Sharon Abrahams
- Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK.,Human Cognitive Neurosciences, Psychology, School of Philosophy, Psychology and Language Sciences, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Alan Carson
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Siddharthan Chandran
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK.,Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, Scotland, UK.,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK.,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, Scotland, UK
| | - David Perry
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK.,Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, Scotland, UK
| | - Suvankar Pal
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, UK. .,Anne Rowling Regenerative Neurology Clinic, The University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, Scotland, UK. .,Euan MacDonald Centre for MND Research, The University of Edinburgh, Edinburgh, Scotland, UK.
| |
Collapse
|
13
|
Jewett G, Khayambashi S, Frost GS, Beland B, Lee A, Hodgkinson V, Korngut L, Chhibber S. Diagnostic criteria in amyotrophic lateral sclerosis: Time for a change. Muscle Nerve 2022; 66:E34-E35. [PMID: 36116127 DOI: 10.1002/mus.27723] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/11/2022] [Accepted: 09/13/2022] [Indexed: 12/14/2022]
Affiliation(s)
- Gordon Jewett
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Shahin Khayambashi
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Geoffrey S Frost
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Benjamin Beland
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Angela Lee
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Victoria Hodgkinson
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Lawrence Korngut
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Sameer Chhibber
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| |
Collapse
|
14
|
Song Y, Cheng H, Liu J, Kazuo S, Feng L, Wei Y, Zhang C, Gao Y. Effectiveness of herbal medicine on patients with amyotrophic lateral sclerosis: Analysis of the PRO-ACT data using propensity score matching. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2022; 107:154461. [PMID: 36198223 DOI: 10.1016/j.phymed.2022.154461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 09/10/2022] [Accepted: 09/14/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Patients with amyotrophic lateral sclerosis (ALS) have restricted pharmacotherapy options and thus resort to herbal medicines (HMs), despite limited and conflicting evidence. Therefore, use of HMs needs to be assessed in patients with ALS. PURPOSE This study aimed to evaluate the benefits of HMs in ALS and to describe the characteristics of HM users. STUDY DESIGN The correlation between HMs and prognosis was determined based on data obtained from the largest ALS database with high-quality clinical trials. Propensity score (PS) matching was used to address confounding and selection bias. METHODS In total, 321 and 231 HM users with at least a 4-week HM prescription were identified and PS-matched with non-HM users at a 1:1 ratio based on predefined confounders. Time-to-event models with censoring at 12 or 18 months were established for survival analyses. For evaluating activity limitation and respiratory function, 320 and 376 HM users were included, respectively, and analyzed using multivariate analysis of variance (MANOVA). RESULTS The profiles of 321 HM users indicated a better condition compared with that of non-HM users before PS-matching, including higher weight (median [IQR], 77.90 [21.8] kg vs. 74.00 [21.2] kg, p < 0.01), higher body mass index (26.00 [5.4] vs. 25.20 [5.8], p < 0.01), more percentage of limb onset (261 [81.3%] vs. 2366 [67.2%], p < 0.01), and slower progression (0.47 [0.5] vs. 0.51 [0.5], p = 0.03). HM did not significantly affect survival at 12 months (adjusted hazard ratio [HR] 0.71, 95% confidence interval [CI] 0.49-1.03; log-rank p = 0.069), but it significantly prolonged survival at 18 months (adjusted HR 0.74, 95% CI 0.56-0.98; log-rank p = 0.038). After imputation of missing data, MANOVA revealed significant effectiveness of HMs in improving activity limitation (Pillai trace, 0.0195; p = 0.03). CONCLUSION PS-based methods eliminated baseline differences between HM and non-HM users. Overall, the use of HM to treat patients with ALS is favored based on their association with prolonged overall survival within 18 months and improved activity limitation.
Collapse
Affiliation(s)
- Yuebo Song
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China; Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing 100700, China
| | - Hao Cheng
- National Academy of Innovation Strategy, China Association for Science and Technology, Beijing 100038, China
| | - Jia Liu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China; Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing 100700, China
| | - Sugimoto Kazuo
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China; Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing 100700, China; Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing 100010, China
| | - Luda Feng
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China; Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing 100700, China
| | - Yufei Wei
- The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530022, China
| | - Chi Zhang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China.
| | - Ying Gao
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China; Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing 100700, China.
| |
Collapse
|
15
|
Kobayakawa Y, Todaka K, Hashimoto Y, Ko S, Shiraishi W, Kishimoto J, Kira JI, Yamasaki R, Isobe N. A novel quantitative indicator for disease progression rate in amyotrophic lateral sclerosis. J Neurol Sci 2022; 442:120389. [PMID: 36041329 DOI: 10.1016/j.jns.2022.120389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 08/16/2022] [Accepted: 08/20/2022] [Indexed: 10/31/2022]
Abstract
OBJECTIVE The current study sought to develop a new indicator for disease progression rate in amyotrophic lateral sclerosis (ALS). METHODS We used a nonparametric method to score diverse patterns of decline in the percentage of predicted forced vital capacity (%FVC) in patients with ALS. This involved 6317 longitudinal %FVC data sets from 920 patients in the Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT) database volunteered by PRO-ACT Consortium members. To assess the utility of the derived scores as a disease indicator, we examined changes over time, the association with prognosis, and correlation with the Risk Profile of the Treatment Research Initiative to Cure ALS (TRICALS). Our local cohort (n = 92) was used for external validation. RESULTS We derived scores ranging from 35 to 106 points to construct the FVC Decline Pattern scale (FVC-DiP). Individuals' FVC-DiP scores were determined from a single measurement of %FVC and disease duration at assessment. Although the %FVC declined over the disease course (p < 0.0001), the FVC-DiP remained relatively stable. Low FVC-DiP scores were associated with rapid disease progression. Using our cohort, we demonstrated an association between FVC-DiP and the survival prognosis, the stability of the FVC-DiP per individual, and a correlation between FVC-DiP scores and the TRICALS Risk Profile (r2 = 0.904, p < 0.0001). CONCLUSIONS FVC-DiP scores reflected patterns of declining %FVC over the natural course of ALS and indicated the disease progression rate. The FVC-DiP may enable easy assessment of disease progression patterns and could be used for assessing treatment efficacy.
Collapse
Affiliation(s)
- Yuko Kobayakawa
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; Center for Clinical and Translational Research, Kyushu University Hospital, Fukuoka 812-8582, Japan
| | - Koji Todaka
- Center for Clinical and Translational Research, Kyushu University Hospital, Fukuoka 812-8582, Japan
| | - Yu Hashimoto
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Senri Ko
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Wataru Shiraishi
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Junji Kishimoto
- Center for Clinical and Translational Research, Kyushu University Hospital, Fukuoka 812-8582, Japan
| | - Jun-Ichi Kira
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; Translational Neuroscience Center, Graduate School of Medicine, School of Pharmacy at Fukuoka, International University of Health and Welfare, Okawa, Fukuoka 831-8501, Japan; Department of Neurology, Brain and Nerve Center, Fukuoka Central Hospital, International University of Health and Welfare, Fukuoka 810-0022, Japan
| | - Ryo Yamasaki
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Noriko Isobe
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
| | | |
Collapse
|
16
|
Orellana Zambrano MD, Candelo E, Rutt AL. The Role of the Otolaryngologist in Early Recognition of Patients With ALS: A Case Report. EAR, NOSE & THROAT JOURNAL 2022:1455613221120731. [PMID: 36358031 DOI: 10.1177/01455613221120731] [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: 12/22/2023] Open
Abstract
This case report aims to raise awareness of the possibility of amyotrophic lateral sclerosis (ALS) diagnosis in patients presenting to the Otolaryngology Department. We describe the case of a 66-year-old woman with hoarseness who was evaluated by several physicians and was referred to an ALS specialist only a year after symptom onset. Our case highlights the importance of considering motor neuron etiologies in patients with voice complaints. Early identification and referral to a specialist are critical for accurate diagnosis and prognosis and may be the key to slowing the disease's progression.
Collapse
Affiliation(s)
| | - Estephania Candelo
- Department of Otorhinolaryngology, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Amy L Rutt
- Department of Otorhinolaryngology, Mayo Clinic Florida, Jacksonville, FL, USA
| |
Collapse
|
17
|
Ashhurst JF, Tu S, Timmins HC, Kiernan MC. Progress, development, and challenges in amyotrophic lateral sclerosis clinical trials. Expert Rev Neurother 2022; 22:905-913. [PMID: 36543326 DOI: 10.1080/14737175.2022.2161893] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Amyotrophic Lateral Sclerosis (ALS) brings unique challenges to a clinical trial setting, due in part to relatively low disease prevalence coupled with a poor prognosis, in addition to the complexities linked to disease heterogeneity. As critical understanding of the disease develops, particularly in relation to clinical phenotype and the mechanisms of disease progression, so too new concepts evolve in relation to clinical trials, including the advent of precision therapy, targeted to subgroups of ALS patients. AREAS COVERED Individualized, or precision medicine in ALS recognizes the heterogeneous nature of the disease and utilizes information such as the clinical phenotype of the disease, clinical biomarkers, and genotyping to promote a tailored approach to treatment. Separate to these considerations, the present review will discuss clinical trial design and how this can be improved to better match patient and investigator needs in ALS clinical trials. EXPERT OPINION Precision therapy will promote a more focused treatment approach, with the goal of improving clinical outcomes for ALS patients. An increased community awareness of ALS, coupled with significant industry and philanthropic funding for ALS research, is accelerating this process.
Collapse
Affiliation(s)
| | - Sicong Tu
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - Hannah C Timmins
- Brain and Mind Centre, University of Sydney, Camperdown, Australia
| | - Matthew C Kiernan
- Brain and Mind Centre, University of Sydney, Camperdown, Australia.,Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia
| |
Collapse
|
18
|
de Jongh AD, Braun N, Weber M, van Es MA, Masrori P, Veldink JH, van Damme P, van den Berg LH, van Eijk RPA. Characterising ALS disease progression according to El Escorial and Gold Coast criteria. J Neurol Neurosurg Psychiatry 2022; 93:865-870. [PMID: 35654584 DOI: 10.1136/jnnp-2022-328823] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 05/20/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND The Gold Coast criteria (GCC) have been proposed as a means of selecting patients for amyotrophic lateral sclerosis (ALS) clinical trials. We aimed to characterise disease progression according to the GCC. METHODS Data from population-based ALS registries from the Netherlands and Belgium were analysed. The GCC additionally define ALS as lower motor neuron (LMN) dysfunction in ≥2 body regions without upper motor neuron dysfunction. Therefore, the revised El Escorial criteria (rEEC) were supplemented with a 'Gold Coast ALS' category for patients with only LMN dysfunction in ≥2 body regions. We assessed survival time, ALS Functional Rating Scale (ALSFRS-R) progression rates and between-patient variability per diagnostic category. RESULTS We included 5957 ALS patients, of whom 600 (10.1%) fulfilled the GCC but not the rEEC, and 95 (1.6%) fulfilled only the rEEC. ALSFRS-R progression rates were similar for the rEEC (0.84 points/month) and GCC (0.81 points/month) with similar variability (standard deviation of 0.59 vs. 0.60) and median survival time (17.8 vs.18.7 months). Survival time and average progression rates varied (p<0.001) between categories. Per category, however, there was considerable between-patient variability with progression rates ranging from: -2.10 to -0.14 (definite), -1.94 to -0.06 (probable), -2.10 to -0.02 (probable laboratory supported), -1.79 to -0.02 (possible) and -1.31 to 0.08 (Gold Coast). CONCLUSIONS The GCC broaden the definition of ALS, allowing more patients to participate in trials, while minimally impacting population heterogeneity. Given the large variability per diagnostic category, selecting only specific categories for trials may not result in a more homogeneous study population.
Collapse
Affiliation(s)
- Adriaan D de Jongh
- Department of Neurology, University Medical Center Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Nathalie Braun
- Neuromuscular Diseases Unit/ALS Clinic, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Markus Weber
- Neuromuscular Diseases Unit/ALS Clinic, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Michael A van Es
- Department of Neurology, University Medical Center Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Pegah Masrori
- Department of Neurosciences, Laboratory for Neurobiology, KU Leuven and Center for Brain & Disease Research, VIB, Leuven Brain Institute, Leuven, Belgium.,Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Jan H Veldink
- Department of Neurology, University Medical Center Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Philip van Damme
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Leonard H van den Berg
- Department of Neurology, University Medical Center Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Ruben P A van Eijk
- Department of Neurology, University Medical Center Utrecht Brain Center Rudolf Magnus, Utrecht, The Netherlands .,Biostatistics & Research Support, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| |
Collapse
|
19
|
Helleman J, Johnson B, Holdom C, Hobson E, Murray D, Steyn FJ, Ngo ST, Henders A, Lokeshappa MB, Visser-Meily JMA, van den Berg LH, Hardiman O, Beelen A, McDermott C, van Eijk RPA. Patient perspectives on digital healthcare technology in care and clinical trials for motor neuron disease: an international survey. J Neurol 2022; 269:6003-6013. [PMID: 35849154 PMCID: PMC9294855 DOI: 10.1007/s00415-022-11273-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 11/30/2022]
Abstract
Introduction To capture the patient’s attitude toward remote monitoring of motor neuron disease (MND) in care and clinical trials, and their concerns and preferences regarding the use of digital technology. Methods We performed an international multi-centre survey study in three MND clinics in The Netherlands, the United Kingdom, and Australia. The survey was co-developed by investigators and patients with MND, and sent to patients by e-mail or postal-mail. The main topics included: patients’ attitude towards remote care, participating in decentralized clinical trials, and preferences for and concerns with digital technology use. Results In total, 332 patients with MND participated. A majority of patients indicated they would be happy to self-monitor their health from home (69%), be remotely monitored by a multidisciplinary care team (75%), and would be willing to participate in clinical trials from home (65%). Patients considered respiratory function and muscle strength most valuable for home-monitoring. The majority of patients considered the use of at least three devices/apps (75%) once a week (61%) to be acceptable for home-monitoring. Fifteen percent of patients indicated they would not wish to perform home-measurements; reporting concerns about the burden and distress of home-monitoring, privacy and data security. Conclusion Most patients with MND exhibited a positive attitude toward the use of digital technology in both care and clinical trial settings. A subgroup of patients reported concerns with home-monitoring, which should be addressed in order to improve widespread adoption of remote digital technology in clinical MND care. Supplementary Information The online version contains supplementary material available at 10.1007/s00415-022-11273-x.
Collapse
Affiliation(s)
- Jochem Helleman
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands.,Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands
| | - Barbara Johnson
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Cory Holdom
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia.,UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia
| | - Esther Hobson
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Deirdre Murray
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland.,Physiotherapy Department, Beaumont Hospital, Dublin, Ireland
| | - Frederik J Steyn
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, Australia.,The Royal Brisbane and Women's Hospital, Herston, Australia.,Wesley Medical Research, The Wesley Hospital, Auchenflower, Australia.,Centre for Clinical Research, The University of Queensland, Brisbane, Australia
| | - Shyuan T Ngo
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia.,The Royal Brisbane and Women's Hospital, Herston, Australia.,Centre for Clinical Research, The University of Queensland, Brisbane, Australia
| | - Anjali Henders
- Institute for Molecular Biosciences, The University of Queensland, Brisbane, Australia
| | - Madhura B Lokeshappa
- Institute for Molecular Biosciences, The University of Queensland, Brisbane, Australia
| | - Johanna M A Visser-Meily
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands.,Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands
| | - Orla Hardiman
- Department of Neurology, National Neuroscience Centre, Beaumont Hospital, Dublin, Ireland.,FutureNeuro SFI Research Centre, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Anita Beelen
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands.,Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands
| | - Chris McDermott
- Department of Neuroscience, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Ruben P A van Eijk
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, the Netherlands. .,Biostatistics and Research Support, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.
| |
Collapse
|
20
|
Wong C, Dakin RS, Williamson J, Newton J, Steven M, Colville S, Stavrou M, Gregory JM, Elliott E, Mehta AR, Chataway J, Swingler RJ, Parker RA, Weir CJ, Stallard N, Parmar MKB, Macleod MR, Pal S, Chandran S. Motor Neuron Disease Systematic Multi-Arm Adaptive Randomised Trial (MND-SMART): a multi-arm, multi-stage, adaptive, platform, phase III randomised, double-blind, placebo-controlled trial of repurposed drugs in motor neuron disease. BMJ Open 2022; 12:e064173. [PMID: 35798516 PMCID: PMC9263927 DOI: 10.1136/bmjopen-2022-064173] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Motor neuron disease (MND) is a rapidly fatal neurodegenerative disease. Despite decades of research and clinical trials there remains no cure and only one globally approved drug, riluzole, which prolongs survival by 2-3 months. Recent improved mechanistic understanding of MND heralds a new translational era with many potential targets being identified that are ripe for clinical trials. Motor Neuron Disease Systematic Multi-Arm Adaptive Randomised Trial (MND-SMART) aims to evaluate the efficacy of drugs efficiently and definitively in a multi-arm, multi-stage, adaptive trial. The first two drugs selected for evaluation in MND-SMART are trazodone and memantine. METHODS AND ANALYSIS Initially, up to 531 participants (177/arm) will be randomised 1:1:1 to oral liquid trazodone, memantine and placebo. The coprimary outcome measures are the Amyotrophic Lateral Sclerosis Functional Rating Scale Revised (ALSFRS-R) and survival. Comparisons will be conducted in four stages. The decision to continue randomising to arms after each stage will be made by the Trial Steering Committee who receive recommendations from the Independent Data Monitoring Committee. The primary analysis of ALSFRS-R will be conducted when 150 participants/arm, excluding long survivors, have completed 18 months of treatment; if positive the survival effect will be inferentially analysed when 113 deaths have been observed in the placebo group. The trial design ensures that other promising drugs can be added for evaluation in planned trial adaptations. Using this novel trial design reduces time, cost and number of participants required to definitively (phase III) evaluate drugs and reduces exposure of participants to potentially ineffective treatments. ETHICS AND DISSEMINATION MND-SMART was approved by the West of Scotland Research Ethics Committee on 2 October 2019. (REC reference: 19/WS/0123) Results of the study will be submitted for publication in a peer-reviewed journal and a summary provided to participants. TRIAL REGISTRATION NUMBERS European Clinical Trials Registry (2019-000099-41); NCT04302870.
Collapse
Affiliation(s)
- Charis Wong
- Centre of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Rachel S Dakin
- Centre of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Jill Williamson
- Centre of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Judith Newton
- Centre of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Michelle Steven
- Edinburgh Clinical Trials Unit, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Shuna Colville
- Centre of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Maria Stavrou
- Centre of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
| | - Jenna M Gregory
- Centre of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | - Elizabeth Elliott
- Centre of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
| | - Arpan R Mehta
- Centre of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK
- Medical Research Council Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Robert J Swingler
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- London North West University Healthcare NHS Trust, Northwick Park Hospital, London, UK
| | - Richard Anthony Parker
- Edinburgh Clinical Trials Unit, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Christopher J Weir
- Edinburgh Clinical Trials Unit, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Nigel Stallard
- Statistics and Epidemiology, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Mahesh K B Parmar
- Medical Research Council Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Malcolm R Macleod
- Centre of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Suvankar Pal
- Centre of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Siddharthan Chandran
- Centre of Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute Edinburgh, University of Edinburgh, Edinburgh, UK
| |
Collapse
|
21
|
Jewett G, Khayambashi S, Frost GS, Beland B, Lee A, Hodgkinson V, Korngut L, Chhibber S. Gold Coast criteria expand clinical trial eligibility in amyotrophic lateral sclerosis. Muscle Nerve 2022; 66:397-403. [PMID: 35673968 DOI: 10.1002/mus.27660] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/21/2022] [Accepted: 05/28/2022] [Indexed: 01/03/2023]
Abstract
INTRODUCTION/AIMS Consensus criteria to formalize the diagnosis of amyotrophic lateral sclerosis (ALS) and refine clinical trial populations have evolved. The recently proposed Gold Coast consensus criteria are intended to simplify use and increase sensitivity. We aimed to evaluate the potential impact of these criteria on clinical trial eligibility. METHODS We performed a single-center, retrospective study of people diagnosed with ALS between 2016 and 2021 to determine the numbers of those meeting Gold Coast, revised El Escorial (rEEC) criteria, and Awaji criteria. We identified the proportion of those who would have been eligible for participation in three major ALS clinical trials if Gold Coast were used in place of rEEC definite/probable criteria. (rEEC D/P). RESULTS Two hundred six people with ALS were included in our study. 48.5% met Gold Coast criteria but not rEEC D/P. Using the Gold Coast criteria would result in higher rates of clinical trial eligibility after other inclusion criteria were met: 95.2% vs 42.5% (P < .001) in a phase III study of riluzole; 100% vs 31.0% (P = .002) in a phase III study of edaravone; and 95.6% vs 45.3% (P < .001) in an ongoing phase III study of sodium phenylbutyrate and taurursodiol. The sensitivity of the Gold Coast criteria (96.1%; 95% confidence interval [CI], 92.2%-98.2%) was significantly higher than that of rEEC D/P (47.6%; 95% CI, 40.6%-54.6%; for difference, χ2 = 117.6; P < .001). DISCUSSION Until robust biomarkers are available to diagnose ALS, consensus diagnostic criteria remain necessary. Gold Coast criteria would expand research and clinical trial eligibility and improve external validity of clinical trial results.
Collapse
Affiliation(s)
- Gordon Jewett
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Shahin Khayambashi
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Geoffrey S Frost
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Benjamin Beland
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Angela Lee
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Victoria Hodgkinson
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Lawrence Korngut
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Sameer Chhibber
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| |
Collapse
|
22
|
Tornese P, Lalli S, Cocco A, Albanese A. Review of disease-modifying drug trials in amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry 2022; 93:521-529. [PMID: 35228271 DOI: 10.1136/jnnp-2021-328470] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 01/26/2022] [Indexed: 01/22/2023]
Abstract
We analysed clinical trials of pharmacological interventions on patients with amyotrophic lateral sclerosis (ALS), and compared study quality and design features. The systematic review included articles published in PubMed and trials registered in ClinicalTrials.gov. Included studies were randomised double-blind placebo-controlled clinical trials assessing a disease-modifying pharmacological intervention. Studies were excluded if primary end points were safety or dose finding. A total of 28 735 articles and 721 current trials were identified. 76 published articles and 23 ongoing trials met inclusion criteria; they referred to distinct populations comprising 22 817 participants with ALS. Most articles and all current trials had parallel group design; few articles had cross-over design. A run-in observation period was included in about 20% of published studies and ongoing trials. Primary end points included functional assessment, survival, muscle strength, respiratory function, biomarkers and composite measures. Most recent trials had only functional assessment and survival. Risk of bias was high in 23 articles, moderate in 35, low in 18. A disease modification effect was observed for 10 interventions in phase II studies, two of which were confirmed in phase III. Three confirmatory phase III studies are currently underway. The present review provides cues for the design of future trials. Functional decline and survival, as single or composite measures, stand as the reference end points. Post hoc analyses should not be performed, particularly in studies using composite end points. There is a general agreement on diagnostic criteria; but eligibility criteria must be improved. Run-in observations may be used for censoring patients but are discouraged for refining participants' eligibility. The ALS Functional Rating Scale-Revised needs improvement for use as an ordinal measure of functional decline.
Collapse
Affiliation(s)
- Paolo Tornese
- Department of Neurology, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Stefania Lalli
- Department of Neurology, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Antoniangela Cocco
- Department of Neurology, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Alberto Albanese
- Department of Neurology, IRCCS Humanitas Research Hospital, Rozzano, Italy .,Department of Neuroscience, Catholic University, Milan, Italy
| |
Collapse
|
23
|
Knox L, McDermott C, Hobson E. Telehealth in long-term neurological conditions: the potential, the challenges and the key recommendations. J Med Eng Technol 2022; 46:506-517. [PMID: 35212580 DOI: 10.1080/03091902.2022.2040625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Long-term neurological conditions (LTNCs) cause physical and psychological symptoms that have a significant impact on activities of daily living and quality of life. Multidisciplinary teams are effective at providing treatment for people with LTNCs; however, access to such services by people with disabilities can be difficult and as a result, good quality care is not universal. One potential solution is telehealth. This review describes the potential of telehealth to support people with LTNCs, the challenges of designing and implementing these systems, and the key recommendations for those involved in telehealth to facilitate connected services that can benefit patients, carers and healthcare professionals. These recommendations include understanding the problems posed by LTNCs and the needs of the end-user through a person-centred approach. We discuss how to work collaboratively and use shared learning, and consider how to effectively evaluate the intervention at every stage of the development process.
Collapse
Affiliation(s)
- Liam Knox
- Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Christopher McDermott
- Department of Neuroscience, University of Sheffield, Sheffield, UK.,Department of Neuroscience, Sheffield Teaching Hospitals, Sheffield, UK
| | - Esther Hobson
- Department of Neuroscience, University of Sheffield, Sheffield, UK.,Department of Neuroscience, Sheffield Teaching Hospitals, Sheffield, UK
| |
Collapse
|
24
|
Staats KA, Borchelt DR, Tansey MG, Wymer J. Blood-based biomarkers of inflammation in amyotrophic lateral sclerosis. Mol Neurodegener 2022; 17:11. [PMID: 35073950 PMCID: PMC8785449 DOI: 10.1186/s13024-022-00515-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 12/30/2021] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic Lateral Sclerosis (ALS) is a devastating neurodegenerative disease in which many processes are detected including (neuro)inflammation. Many drugs have been tested for ALS in clinical trials but most have failed to reach their primary endpoints. The development and inclusion of different types of biomarkers in diagnosis and clinical trials can assist in determining target engagement of a drug, in distinguishing between ALS and other diseases, and in predicting disease progression rate, drug responsiveness, or an adverse event. Ideally, among other characteristics, a biomarker in ALS correlates highly with a disease process in the central nervous system or with disease progression and is conveniently obtained in a peripheral tissue. Here, we describe the state of biomarkers of inflammation in ALS by focusing on peripherally detectable and cellular responses from blood cells, and provide new (combinatorial) directions for exploration that are now feasible due to technological advancements.
Collapse
Affiliation(s)
- Kim A. Staats
- Staats Life Sciences Consulting, LLC, Los Angeles, CA USA
| | - David R. Borchelt
- Department of Neuroscience, University of Florida College of Medicine, McKnight Brain Institute, Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, Florida USA
| | - Malú Gámez Tansey
- Department of Neuroscience and Center for Translational Research in Neurodegenerative Disease at The University of Florida College of Medicine, Gainesville, Florida USA
| | - James Wymer
- Department of Neurology, University of Florida College of Medicine, Gainesville, Florida USA
| |
Collapse
|
25
|
de Carvalho M, Fernandes SR, Pereira M, Gromicho M, Santos MO, Alves I, Pinto S, Swash M. Respiratory function tests in amyotrophic lateral sclerosis: The role of maximal voluntary ventilation. J Neurol Sci 2022; 434:120143. [PMID: 35030382 DOI: 10.1016/j.jns.2022.120143] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 12/29/2021] [Accepted: 01/01/2022] [Indexed: 12/11/2022]
Abstract
BACKGROUND Pulmonary function tests are routinely used to measure progression in ALS. This study aimed to assess the change of various respiratory tests, in particular maximal voluntary ventilation (MVV), which evaluates respiratory endurance. METHODS A group of 51 patients were assessed 3 times (T1, T2, T3, separated by 5.4 months), including slow (SVC) and forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), peak expiratory flow (PEF), maximal inspiratory (MIP) and expiratory (MEP) pressures, MVV, and sniff nasal inspiratory pressure (SNIP). In addition, body mass index (BMI), ALSFRS-R and phrenic nerve responses were obtained 4 times. Patients with dementia and marked bulbar involvement were excluded. RESULTS Mean ALSFRS-R was high at entry (42.9) and its decline was moderately slow at 0.4/month. FVC and FEV1 declined significantly in the three time frames analysed. MVV reduced significantly only between T1-T3 and SVC between T2-T3, and MIP, MEP, PEF and SNIP did not change significantly. The amplitude and the latency of the motor response of the phrenic nerve changed significantly, and BMI declined significantly in most time periods, and ALSFRS-R changed significantly in the 4 time periods. We found a strong correlation between MVV, and FVC, SVC, FEV1, SNIP, phrenic nerve amplitude/area (p < 0.001), and markedly with PEF (rho = 0.821) and ALSFRS-R (rho = 0.713). CONCLUSIONS Our study of early affected patients supports the use of a set of volitional and non-volitional respiratory tests to assess disease progression, rather than any single test. We found MVV a potentially useful marker of pulmonary function in ALS.
Collapse
Affiliation(s)
- Mamede de Carvalho
- Instituto de Fisiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal; Department of Neurosciences and Mental Health, Hospital de Santa Maria, Centro Hospitalar Universitário de Lisboa Norte, Lisbon, Portugal.
| | - Sofia R Fernandes
- Instituto de Fisiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal; Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal
| | - Mariana Pereira
- Instituto de Fisiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Marta Gromicho
- Instituto de Fisiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Miguel Oliveira Santos
- Instituto de Fisiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal; Department of Neurosciences and Mental Health, Hospital de Santa Maria, Centro Hospitalar Universitário de Lisboa Norte, Lisbon, Portugal
| | - Inês Alves
- Instituto de Fisiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Susana Pinto
- Instituto de Fisiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Michael Swash
- Instituto de Fisiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal; Departments of Neurology and Neuroscience, Barts and the London School of Medicine, Queen Mary University of London, United Kingdom
| |
Collapse
|
26
|
Nitert AD, Tan HH, Walhout R, Knijnenburg NL, van Es MA, Veldink JH, Hendrikse J, Westeneng HJ, van den Berg LH. Sensitivity of brain MRI and neurological examination for detection of upper motor neurone degeneration in amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry 2022; 93:82-92. [PMID: 34663622 PMCID: PMC8685620 DOI: 10.1136/jnnp-2021-327269] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/12/2021] [Indexed: 11/15/2022]
Abstract
OBJECTIVES To investigate sensitivity of brain MRI and neurological examination for detection of upper motor neuron (UMN) degeneration in patients with amyotrophic lateral sclerosis (ALS). METHODS We studied 192 patients with ALS and 314 controls longitudinally. All patients visited our centre twice and underwent full neurological examination and brain MRI. At each visit, we assessed UMN degeneration by measuring motor cortex thickness (CT) and pyramidal tract fibre density (FD) corresponding to five body regions (bulbar region and limbs). For each body region, we measured degree of clinical UMN and lower motor neuron (LMN) symptom burden using a validated scoring system. RESULTS We found deterioration over time of CT of motor regions (p≤0.0081) and progression of UMN signs of bulbar region and left arm (p≤0.04). FD was discriminative between controls and patients with moderate/severe UMN signs (all regions, p≤0.034), but did not change longitudinally. Higher clinical UMN burden correlated with reduced CT, but not lower FD, for the bulbar region (p=2.2×10-10) and legs (p≤0.025). In the arms, we found that severe LMN signs may reduce the detectability of UMN signs (p≤0.043). With MRI, UMN degeneration was detectable before UMN signs became clinically evident (CT: p=1.1×10-10, FD: p=6.3×10-4). Motor CT, but not FD, deteriorated more than UMN signs during the study period. CONCLUSIONS Motor CT is a more sensitive measure of UMN degeneration than UMN signs. Motor CT and pyramidal tract FD are discriminative between patients and controls. Brain MRI can monitor UMN degeneration before signs become clinically evident. These findings promote MRI as a potential biomarker for UMN progression in clinical trials in ALS.
Collapse
Affiliation(s)
- Abram D Nitert
- Department of Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Harold Hg Tan
- Department of Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Renée Walhout
- Department of Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Nienke L Knijnenburg
- Department of Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Michael A van Es
- Department of Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Jan H Veldink
- Department of Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Jeroen Hendrikse
- Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Henk-Jan Westeneng
- Department of Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Leonard H van den Berg
- Department of Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| |
Collapse
|
27
|
Wong C, Stavrou M, Elliott E, Gregory JM, Leigh N, Pinto AA, Williams TL, Chataway J, Swingler R, Parmar MKB, Stallard N, Weir CJ, Parker RA, Chaouch A, Hamdalla H, Ealing J, Gorrie G, Morrison I, Duncan C, Connelly P, Carod-Artal FJ, Davenport R, Reitboeck PG, Radunovic A, Srinivasan V, Preston J, Mehta AR, Leighton D, Glasmacher S, Beswick E, Williamson J, Stenson A, Weaver C, Newton J, Lyle D, Dakin R, Macleod M, Pal S, Chandran S. Clinical trials in amyotrophic lateral sclerosis: a systematic review and perspective. Brain Commun 2021; 3:fcab242. [PMID: 34901853 PMCID: PMC8659356 DOI: 10.1093/braincomms/fcab242] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 09/07/2021] [Accepted: 09/13/2021] [Indexed: 12/15/2022] Open
Abstract
Amyotrophic lateral sclerosis is a progressive and devastating neurodegenerative disease. Despite decades of clinical trials, effective disease-modifying drugs remain scarce. To understand the challenges of trial design and delivery, we performed a systematic review of Phase II, Phase II/III and Phase III amyotrophic lateral sclerosis clinical drug trials on trial registries and PubMed between 2008 and 2019. We identified 125 trials, investigating 76 drugs and recruiting more than 15 000 people with amyotrophic lateral sclerosis. About 90% of trials used traditional fixed designs. The limitations in understanding of disease biology, outcome measures, resources and barriers to trial participation in a rapidly progressive, disabling and heterogenous disease hindered timely and definitive evaluation of drugs in two-arm trials. Innovative trial designs, especially adaptive platform trials may offer significant efficiency gains to this end. We propose a flexible and scalable multi-arm, multi-stage trial platform where opportunities to participate in a clinical trial can become the default for people with amyotrophic lateral sclerosis.
Collapse
Affiliation(s)
- Charis Wong
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Maria Stavrou
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK.,UK Dementia Research Institute, Chancellor's Building, The University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Elizabeth Elliott
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK.,UK Dementia Research Institute, Chancellor's Building, The University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Jenna M Gregory
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK.,UK Dementia Research Institute, Chancellor's Building, The University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Nigel Leigh
- Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, BN1 9PX, UK
| | - Ashwin A Pinto
- Neurology Department, Wessex Neurosciences Centre, Southampton General Hospital, Southampton, SO16 6YD, UK
| | - Timothy L Williams
- Department of Neurology, Royal Victoria Infirmary, Newcastle upon Tyne NE1 4LP, UK
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London WC1B 5EH, UK.,National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, W1T 7DN, UK.,MRC CTU at UCL, Institute of Clinical Trials and Methodology, University College London, London, WC1V 6LJ, UK
| | - Robert Swingler
- Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Mahesh K B Parmar
- MRC CTU at UCL, Institute of Clinical Trials and Methodology, University College London, London, WC1V 6LJ, UK
| | - Nigel Stallard
- Statistics and Epidemiology, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
| | - Christopher J Weir
- Edinburgh Clinical Trials Unit, Usher Institute, Level 2, NINE Edinburgh BioQuarter, 9 Little France Road, Edinburgh EH16 4UX, UK
| | - Richard A Parker
- Edinburgh Clinical Trials Unit, Usher Institute, Level 2, NINE Edinburgh BioQuarter, 9 Little France Road, Edinburgh EH16 4UX, UK
| | - Amina Chaouch
- Motor Neurone Disease Care Centre, Manchester Centre for Clinical Neurosciences, Salford, M6 8HD, UK
| | - Hisham Hamdalla
- Motor Neurone Disease Care Centre, Manchester Centre for Clinical Neurosciences, Salford, M6 8HD, UK
| | - John Ealing
- Motor Neurone Disease Care Centre, Manchester Centre for Clinical Neurosciences, Salford, M6 8HD, UK
| | - George Gorrie
- Department of Neurology, Institute of Neurological Sciences, Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow, G51 4TF, UK
| | - Ian Morrison
- Department of Neurology, NHS Tayside, Dundee, DD2 1UB, UK
| | - Callum Duncan
- Department of Neurology, Aberdeen Royal Infirmary, Aberdeen, AB25 2ZN, UK
| | - Peter Connelly
- NHS Research Scotland Neuroprogressive Disorders and Dementia Network, Ninewells Hospital, Dundee, DD1 9SY, UK
| | | | - Richard Davenport
- Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Department of Clinical Neurosciences, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Pablo Garcia Reitboeck
- Atkinson Morley Regional Neurosciences Centre, St. George's University Hospitals NHS Foundation Trust, London SW17 0QT, UK
| | | | | | - Jenny Preston
- Department of Neurology, NHS Ayrshire & Arran, KA12 8SS, UK
| | - Arpan R Mehta
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK.,UK Dementia Research Institute, Chancellor's Building, The University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Danielle Leighton
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Stella Glasmacher
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Emily Beswick
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Jill Williamson
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Amy Stenson
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Christine Weaver
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Judith Newton
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Dawn Lyle
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Rachel Dakin
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Malcolm Macleod
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Suvankar Pal
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| | - Siddharthan Chandran
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Anne Rowling Regenerative Neurology Clinic, Chancellor's Building, 49 Little France Crescent, The University of Edinburgh, Edinburgh, EH16 4SB, UK.,Euan MacDonald Centre for MND Research, University of Edinburgh, FU303F, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK.,UK Dementia Research Institute, Chancellor's Building, The University of Edinburgh, 49 Little France Crescent, Edinburgh EH16 4SB, UK
| |
Collapse
|
28
|
Mehta P, Raymond J, Han MK, Larson T, Berry JD, Paganoni S, Mitsumoto H, Bedlack RS, Horton DK. Recruitment of Patients With Amyotrophic Lateral Sclerosis for Clinical Trials and Epidemiological Studies: Descriptive Study of the National ALS Registry's Research Notification Mechanism. J Med Internet Res 2021; 23:e28021. [PMID: 34878988 PMCID: PMC8693186 DOI: 10.2196/28021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/21/2021] [Accepted: 09/22/2021] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Researchers face challenges in patient recruitment, especially for rare, fatal diseases such as amyotrophic lateral sclerosis (ALS). These challenges include obtaining sufficient statistical power as well as meeting eligibility requirements such as age, sex, and study proximity. Similarly, persons with ALS (PALS) face difficulty finding and enrolling in research studies for which they are eligible. OBJECTIVE The aim of this study was to describe how the federal Agency for Toxic Substances and Disease Registry's (ATSDR) National ALS Registry is linking PALS to scientists who are conducting research, clinical trials, and epidemiological studies. METHODS Through the Registry's online research notification mechanism (RNM), PALS can elect to be notified about new research opportunities. This mechanism allows researchers to upload a standardized application outlining their study design and objectives, and proof of Institutional Review Board approval. If the application is approved, ATSDR queries the Registry for PALS meeting the study's specific eligibility criteria, and then distributes the researcher's study material and contact information to PALS via email. PALS then need to contact the researcher directly to take part in any research. Such an approach allows ATSDR to protect the confidentiality of Registry enrollees. RESULTS From 2013 to 2019, a total of 46 institutions around the United States and abroad have leveraged this tool and over 600,000 emails have been sent, resulting in over 2000 patients conservatively recruited for clinical trials and epidemiological studies. Patients between the ages of 60 and 69 had the highest level of participation, whereas those between the ages of 18 and 39 and aged over 80 had the lowest. More males participated (4170/7030, 59.32%) than females (2860/7030, 40.68%). CONCLUSIONS The National ALS Registry's RNM benefits PALS by connecting them to appropriate ALS research. Simultaneously, the system benefits researchers by expediting recruitment, increasing sample size, and efficiently identifying PALS meeting specific eligibility requirements. As more researchers learn about and use this mechanism, both PALS and researchers can hasten research and expand trial options for PALS.
Collapse
Affiliation(s)
- Paul Mehta
- Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Jaime Raymond
- Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Moon Kwon Han
- Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Theodore Larson
- Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - James D Berry
- Sean M Healey & AMG Center for ALS, Massachusetts General Hospital, Boston, MA, United States
| | - Sabrina Paganoni
- Sean M Healey & AMG Center for ALS, Massachusetts General Hospital, Boston, MA, United States.,Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA, United States
| | - Hiroshi Mitsumoto
- Department of Neurology, Columbia University College of Physicians and Surgeons, New York City, NY, United States
| | | | - D Kevin Horton
- Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Atlanta, GA, United States
| |
Collapse
|
29
|
Thompson AG, Oeckl P, Feneberg E, Bowser R, Otto M, Fischer R, Kessler B, Turner MR. Advancing mechanistic understanding and biomarker development in amyotrophic lateral sclerosis. Expert Rev Proteomics 2021; 18:977-994. [PMID: 34758687 DOI: 10.1080/14789450.2021.2004890] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Proteomic analysis has contributed significantly to the study of the neurodegenerative disease amyotrophic lateral sclerosis (ALS). It has helped to define the pathological change common to nearly all cases, namely intracellular aggregates of phosphorylated TDP-43, shifting the focus of pathogenesis in ALS toward RNA biology. Proteomics has also uniquely underpinned the delineation of disease mechanisms in model systems and has been central to recent advances in human ALS biomarker development. AREAS COVERED The contribution of proteomics to understanding the cellular pathological changes, disease mechanisms, and biomarker development in ALS are covered. EXPERT OPINION Proteomics has delivered unique insights into the pathogenesis of ALS and advanced the goal of objective measurements of disease activity to improve therapeutic trials. Further developments in sensitivity and quantification are expected, with application to the presymptomatic phase of human disease offering the hope of prevention strategies.
Collapse
Affiliation(s)
| | - Patrick Oeckl
- Department of Neurology, University of Ulm, Ulm, Germany.,German Center for Neurodegenerative Diseases (Dzne e.V.), Ulm, Germany
| | - Emily Feneberg
- Department of Neurology, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
| | - Robert Bowser
- Departments of Neurology and Translational Neuroscience, Barrow Neurological Institute, Phoenix, Arizona, USA
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany.,Department of Neurology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Roman Fischer
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Benedikt Kessler
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| |
Collapse
|
30
|
Vucic S, Wray N, Henders A, Henderson RD, Talman P, Mathers S, Bellgard M, Aoun S, Birks C, Thomas G, Hansen C, Thomas G, Hogden A, Needham M, Schultz D, Soulis T, Sheean B, Milne J, Rowe D, Zoing M, Kiernan MC. MiNDAUS partnership: a roadmap for the cure and management of motor Neurone disease. Amyotroph Lateral Scler Frontotemporal Degener 2021; 23:321-328. [PMID: 34590512 DOI: 10.1080/21678421.2021.1980889] [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: 10/20/2022]
Abstract
An innovative approach to patient management, evidence-based policy development, and clinical drug trials is required to provide personalized care and to improve the likelihood of finding an effective treatment for Motor Neurone Disease (MND). The MiNDAus Partnership builds on and extends existing national collaborations in a targeted approach to improve the standard and coordination of care for people living with MND in Australia, and to enhance the prospects of discovering a cure or treatment. Relationships have been developed between leading clinical and research groups as well as patient-centered organizations, care providers, and philanthropy with a shared vision. MiNDAus has established a corporate structure and meets at least biannually to decide on how best to progress research, drug development, and patient management. The key themes are; (i) empowering patients and their family carers to engage in self-management and ensure personalized service provision, treatment, and policy development, (ii) integration of data collection so as to better inform policy development, (iii) unifying patients and carers with advocacy groups, funding bodies, clinicians and academic institutions so as to inform policy development and research, (iv) coordination of research efforts and development of standardized national infrastructure for conducting innovative clinical MND trials that can be harmonized within Australia and with international trials consortia. Such a collaborative approach is required across stakeholders in order to develop innovative management guidelines, underpinned by necessary and evidence-based policy change recommendations, which, will ensure the best patient care until a cure is discovered.
Collapse
Affiliation(s)
- Steve Vucic
- Brain and Nerve Research Center, Concord Clinical School, University of Sydney and Concord Hospital, Sydney, Australia
| | - Naomi Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Anjali Henders
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Robert D Henderson
- Royal Brisbane and Women's Hospital, University of Queensland, Brisbane, Australia
| | - Paul Talman
- Deakin University, University Hospital Geelong, Geelong, Australia
| | - Susan Mathers
- Department of Neurology, Calvary Health Care Bethlehem Monash University, Melbourne, Australia
| | - Matthew Bellgard
- Office of eResearch, Queensland University of Technology, Brisbane, Australia
| | - Samar Aoun
- Perron Institute for Neurological and translational Science, Perth, Western Australia.,La Trobe University, Melbourne, Victoria
| | | | | | | | - Geoff Thomas
- Thomas MND Research Group, Adelaide, South Australia, Australia
| | - Anne Hogden
- Australian Institute of Health Service Management, University of Tasmania, Hobart, Tasmania, Australia
| | - Merrilee Needham
- Department of Neurology, Fiona Stanley Hospital, CMMIT Murdoch University and School of Medicine, University of Notre Dame, Western Australia, Perth, Australia
| | - David Schultz
- Department of Neurology, Flinders Medical Centre, Flinders Drive, Bedford Park, South Australia, Australia
| | - Tina Soulis
- Neuroscience Trials Australia, Melbourne, Australia
| | | | - Jane Milne
- MND and Me Foundation, Brisbane, Queensland, Australia
| | - Dominic Rowe
- MCentre for Motor Neurone Disease Research, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, Australia
| | - Margie Zoing
- Brain and Mind Center, University of Sydney, University of Sydney, Sydney, Australia.,Department of Neurology, Royal Prince Alfred Hospital, Camperdown, Australia
| | - Matthew C Kiernan
- Brain and Mind Center, University of Sydney, University of Sydney, Sydney, Australia.,Department of Neurology, Royal Prince Alfred Hospital, Camperdown, Australia
| |
Collapse
|
31
|
Salmon K, Anoja N, Breiner A, Chum M, Dionne A, Dupré N, Fiander A, Fok D, Ghavanini A, Gosselin S, Izenberg A, Johnston W, Kalra S, Matte G, Melanson M, O'Connell C, Ritsma B, Schellenberg K, Shoesmith C, Tremblay S, Williams H, Genge A. Genetic testing for amyotrophic lateral sclerosis in Canada - an assessment of current practices. Amyotroph Lateral Scler Frontotemporal Degener 2021; 23:305-312. [PMID: 34569363 DOI: 10.1080/21678421.2021.1980890] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Objective: To understand current genetic testing practices at Canadian ALS clinics. Methods: An online survey and phone interviews, with clinicians practicing in 27 ALS clinics in Canada, were employed to collect data. Quantitative and qualitative analyses were conducted. Results: Ninety-three percent (25/27) of ALS clinics in Canada are routinely ordering genetic testing for familial ALS, while 33% (9/27) of clinics are routinely ordering genetic testing for sporadic ALS. Barriers to genetic testing include a perceived lack of an impact on treatment plan, difficulty in obtaining approvals, primarily from provincial Ministries of Health, and limited access to genetic counseling. Predictive testing practices were found to be the most variable across the country. The average wait time for a symptomatic patient living with ALS to see a genetic counselor in Canada is 10 months (range 0-36 months). Conclusions: Access to genetic testing, and testing practices, vary greatly across Canadian ALS clinics. There may be patients with a monogenetic etiology to their ALS who are not being identified given that genetic testing for patients diagnosed with ALS is not routinely performed at all clinics. This study highlights potential inequities for patients with ALS that can arise from variability in health care delivery across jurisdictions, in a federally-funded, but provincially-regulated, health care system. Clinical trials for both symptomatic ALS patients and pre-symptomatic ALS gene carriers are ongoing, and ALS clinicians in Canada are motivated to improve access to genetic testing for ALS.
Collapse
Affiliation(s)
- Kristiana Salmon
- Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada
| | - Nancy Anoja
- Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada
| | | | - Marvin Chum
- St. Joseph's Healthcare Hamilton - McMaster University, Hamilton, Canada
| | - Annie Dionne
- Neuroscience Axis, CHU de Québec - Université Laval, Quebec City, Canada
| | - Nicolas Dupré
- Neuroscience Axis, CHU de Québec - Université Laval, Quebec City, Canada
| | | | - Daniel Fok
- University of British Columbia - Southern Medical Program, Kelowna, Canada
| | | | - Sylvie Gosselin
- Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada
| | | | | | | | - Geneviève Matte
- Centre Hospitalier de l'Université de Montréal, Montreal, Canada
| | | | | | - Benjamin Ritsma
- Providence Care Hospital - Queen's University, Kingston, Canada
| | | | | | | | | | - Angela Genge
- Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada
| |
Collapse
|
32
|
van Eijk RPA, Beelen A, Kruitwagen ET, Murray D, Radakovic R, Hobson E, Knox L, Helleman J, Burke T, Rubio Pérez MÁ, Reviers E, Genge A, Steyn FJ, Ngo S, Eaglesham J, Roes KCB, van den Berg LH, Hardiman O, McDermott CJ. A Road Map for Remote Digital Health Technology for Motor Neuron Disease. J Med Internet Res 2021; 23:e28766. [PMID: 34550089 PMCID: PMC8495582 DOI: 10.2196/28766] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 05/23/2021] [Accepted: 05/24/2021] [Indexed: 12/05/2022] Open
Abstract
Despite recent and potent technological advances, the real-world implementation of remote digital health technology in the care and monitoring of patients with motor neuron disease has not yet been realized. Digital health technology may increase the accessibility to and personalization of care, whereas remote biosensors could optimize the collection of vital clinical parameters, irrespective of patients’ ability to visit the clinic. To facilitate the wide-scale adoption of digital health care technology and to align current initiatives, we outline a road map that will identify clinically relevant digital parameters; mediate the development of benefit-to-burden criteria for innovative technology; and direct the validation, harmonization, and adoption of digital health care technology in real-world settings. We define two key end products of the road map: (1) a set of reliable digital parameters to capture data collected under free-living conditions that reflect patient-centric measures and facilitate clinical decision making and (2) an integrated, open-source system that provides personalized feedback to patients, health care providers, clinical researchers, and caregivers and is linked to a flexible and adaptable platform that integrates patient data in real time. Given the ever-changing care needs of patients and the relentless progression rate of motor neuron disease, the adoption of digital health care technology will significantly benefit the delivery of care and accelerate the development of effective treatments.
Collapse
Affiliation(s)
- Ruben P A van Eijk
- UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, Netherlands.,Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Anita Beelen
- Department of Rehabilitation, University Medical Centre Utrecht, Utrecht, Netherlands.,Center of Excellence for Rehabilitation Medicine, University Medical Centre Utrecht and De Hoogstraat Rehabilitation, Utrecht, Netherlands
| | - Esther T Kruitwagen
- Department of Rehabilitation, University Medical Centre Utrecht, Utrecht, Netherlands.,Center of Excellence for Rehabilitation Medicine, University Medical Centre Utrecht and De Hoogstraat Rehabilitation, Utrecht, Netherlands
| | - Deirdre Murray
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland.,Department of Physiotherapy, Beaumont Hospital, Dublin, Ireland
| | - Ratko Radakovic
- Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, United Kingdom.,Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh, Edinburgh, United Kingdom.,Norfolk and Norwich University Hospital, Norwich, United Kingdom.,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, United Kingdom.,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
| | - Esther Hobson
- Department of Neuroscience, Sheffield Institute for Translational Neuroscien, University of Sheffield, Sheffield, United Kingdom
| | - Liam Knox
- Department of Neuroscience, Sheffield Institute for Translational Neuroscien, University of Sheffield, Sheffield, United Kingdom
| | - Jochem Helleman
- Department of Rehabilitation, University Medical Centre Utrecht, Utrecht, Netherlands.,Center of Excellence for Rehabilitation Medicine, University Medical Centre Utrecht and De Hoogstraat Rehabilitation, Utrecht, Netherlands
| | - Tom Burke
- Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland.,Department of Psychology, Beaumont Hospital, Dublin, Ireland
| | | | - Evy Reviers
- European Organization for Professionals and Patients with ALS (EUpALS), Leuven, Belgium
| | - Angela Genge
- Department of Neurology, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Frederik J Steyn
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, Australia.,The Royal Brisbane and Women's Hospital, Herston, Australia.,Wesley Medical Research, the Wesley Hospital, Auchenflower, Australia
| | - Shyuan Ngo
- The Royal Brisbane and Women's Hospital, Herston, Australia.,Wesley Medical Research, the Wesley Hospital, Auchenflower, Australia.,Centre for Clinical Research, University of Queensland, Brisbane, Australia.,Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, Australia
| | - John Eaglesham
- Advanced Digital Innovation (UK) Ltd, Salts Mill, United Kingdom
| | - Kit C B Roes
- Department of Health Evidence, Section Biostatistics, Radboud Medical Centre Nijmegen, Nijmegen, Netherlands
| | | | - Orla Hardiman
- Department of Neurology, National Neuroscience Centre, Beaumont Hospital, Dublin, Ireland.,FutureNeuro SFI Research Centre, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Christopher J McDermott
- Department of Neuroscience, Sheffield Institute for Translational Neuroscien, University of Sheffield, Sheffield, United Kingdom
| |
Collapse
|
33
|
Witzel S, Frauhammer F, Steinacker P, Devos D, Pradat PF, Meininger V, Halbgebauer S, Oeckl P, Schuster J, Anders S, Dorst J, Otto M, Ludolph AC. Neurofilament light and heterogeneity of disease progression in amyotrophic lateral sclerosis: development and validation of a prediction model to improve interventional trials. Transl Neurodegener 2021; 10:31. [PMID: 34433481 PMCID: PMC8390195 DOI: 10.1186/s40035-021-00257-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 08/07/2021] [Indexed: 11/10/2022] Open
Abstract
Background Interventional trials in amyotrophic lateral sclerosis (ALS) suffer from the heterogeneity of the disease as it considerably reduces statistical power. We asked if blood neurofilament light chains (NfL) could be used to anticipate disease progression and increase trial power. Methods In 125 patients with ALS from three independent prospective studies—one observational study and two interventional trials—we developed and externally validated a multivariate linear model for predicting disease progression, measured by the monthly decrease of the ALS Functional Rating Scale Revised (ALSFRS-R) score. We trained the prediction model in the observational study and tested the predictive value of the following parameters assessed at diagnosis: NfL levels, sex, age, site of onset, body mass index, disease duration, ALSFRS-R score, and monthly ALSFRS-R score decrease since disease onset. We then applied the resulting model in the other two study cohorts to assess the actual utility for interventional trials. We analyzed the impact on trial power in mixed-effects models and compared the performance of the NfL model with two currently used predictive approaches, which anticipate disease progression using the ALSFRS-R decrease during a three-month observational period (lead-in) or since disease onset (ΔFRS). Results Among the parameters provided, the NfL levels (P < 0.001) and the interaction with site of onset (P < 0.01) contributed significantly to the prediction, forming a robust NfL prediction model (R = 0.67). Model application in the trial cohorts confirmed its applicability and revealed superiority over lead-in and ΔFRS-based approaches. The NfL model improved statistical power by 61% and 22% (95% confidence intervals: 54%–66%, 7%–29%). Conclusion The use of the NfL-based prediction model to compensate for clinical heterogeneity in ALS could significantly increase the trial power. NCT00868166, registered March
23, 2009; NCT02306590, registered December 2, 2014. Supplementary Information The online version contains supplementary material available at 10.1186/s40035-021-00257-y.
Collapse
Affiliation(s)
- Simon Witzel
- Department of Neurology, University of Ulm, Ulm, Germany.
| | - Felix Frauhammer
- Center for Molecular Biology, Heidelberg University, Heidelberg, Germany
| | | | - David Devos
- Department of Medical Pharmacology, Expert center for Parkinson, CHU-Lille, Lille Neuroscience and Cognition, Inserm, UMR-S1172, LICEND, NS-Park Network, University of Lille, Lille, France
| | | | - Vincent Meininger
- APHP, Département de Neurologie, Hôpital Pitié-Salpêtrière, Paris, France
| | | | - Patrick Oeckl
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Simon Anders
- Center for Molecular Biology, Heidelberg University, Heidelberg, Germany
| | - Johannes Dorst
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Albert C Ludolph
- Department of Neurology, University of Ulm, Ulm, Germany.,German Centre for Neurodegenerative Diseases (DZNE) Site Ulm, Ulm, Germany
| |
Collapse
|
34
|
Vucic S, Ferguson TA, Cummings C, Hotchkin MT, Genge A, Glanzman R, Roet KCD, Cudkowicz M, Kiernan MC. Gold Coast diagnostic criteria: Implications for ALS diagnosis and clinical trial enrollment. Muscle Nerve 2021; 64:532-537. [PMID: 34378224 DOI: 10.1002/mus.27392] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/28/2021] [Accepted: 07/31/2021] [Indexed: 11/10/2022]
Abstract
Diagnostic criteria for amyotrophic lateral sclerosis (ALS) are complex, incorporating multiple levels of certainty from possible through to definite, and are thereby prone to error. Specifically, interrater variability was previously established to be poor, thereby limiting utility as diagnostic enrollment criteria for clinical trials. In addition, the different levels of diagnostic certainty do not necessarily reflect disease progression, adding confusion to the diagnostic algorithm. Realizing these inherent limitations, the World Federation of Neurology, the International Federation of Clinical Neurophysiology, the International Alliance of ALS/MND Associations, the ALS Association (United States), and the Motor Neuron Disease Association convened a consensus meeting (Gold Coast, Australia, 2019) to consider the development of simpler criteria that better reflect clinical practice, and that could merge diagnostic categories into a single entity. The diagnostic accuracy of the novel Gold Coast criteria was subsequently interrogated through a large cross-sectional study, which established an increased sensitivity for ALS diagnosis when compared with previous criteria. Diagnostic accuracy was maintained irrespective of disease duration, functional status, or site of disease onset. Importantly, the Gold Coast criteria differentiated atypical phenotypes, such as primary lateral sclerosis, from the more typical ALS phenotype. It is proposed that the Gold Coast criteria should be incorporated into routine practice and clinical trial settings.
Collapse
Affiliation(s)
- Steve Vucic
- Westmead Clinical School, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | | | | | | | - Angela Genge
- The Neuro, Montreal Neurological Institute, Montreal, Quebec, Canada
| | | | | | - Merit Cudkowicz
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Matthew C Kiernan
- Brain and Mind Centre, University of Sydney & Department of Neurology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| |
Collapse
|
35
|
van Eijk RPA, Nikolakopoulos S, Roes KCB, Kendall L, Han SS, Lavrov A, Epstein N, Kliest T, de Jongh AD, Westeneng HJ, Al-Chalabi A, Van Damme P, Hardiman O, Shaw PJ, McDermott CJ, Eijkemans MJC, van den Berg LH. Challenging the Established Order: Innovating Clinical Trials for Amyotrophic Lateral Sclerosis. Neurology 2021; 97:528-536. [PMID: 34315786 PMCID: PMC8456357 DOI: 10.1212/wnl.0000000000012545] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 07/09/2021] [Indexed: 11/15/2022] Open
Abstract
Development of effective treatments for amyotrophic lateral sclerosis (ALS) has been hampered by disease heterogeneity, a limited understanding of underlying pathophysiology, and methodologic design challenges. We have evaluated 2 major themes in the design of pivotal, phase 3 clinical trials for ALS—(1) patient selection and (2) analytical strategy—and discussed potential solutions with the European Medicines Agency. Several design considerations were assessed using data from 5 placebo-controlled clinical trials (n = 988), 4 population-based cohorts (n = 5,100), and 2,436 placebo-allocated patients from the Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT) database. The validity of each proposed design modification was confirmed by means of simulation and illustrated for a hypothetical setting. Compared to classical trial design, the proposed design modifications reduce the sample size by 30.5% and placebo exposure time by 35.4%. By making use of prognostic survival models, one creates a potential to include a larger proportion of the population and maximize generalizability. We propose a flexible design framework that naturally adapts the trial duration when inaccurate assumptions are made at the design stage, such as enrollment or survival rate. In case of futility, the follow-up time is shortened and patient exposure to ineffective treatments or placebo is minimized. For diseases such as ALS, optimizing the use of resources, widening eligibility criteria, and minimizing exposure to futile treatments and placebo is critical to the development of effective treatments. Our proposed design modifications could circumvent important pitfalls and may serve as a blueprint for future clinical trials in this population.
Collapse
Affiliation(s)
- Ruben P A van Eijk
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands. .,Biostatistics & Research Support, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Stavros Nikolakopoulos
- Biostatistics & Research Support, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Kit C B Roes
- Department of Health Evidence, Section Biostatistics, Radboud Medical Centre Nijmegen, the Netherlands
| | | | - Steve S Han
- Neurosciences, Takeda Pharmaceuticals, Cambridge, USA.,Discovery Medicine, GlaxoSmithKline R&D, Upper Providence, USA
| | - Arseniy Lavrov
- Clinical Development, Novartis Gene Therapies, London, UK.,Clinical Translational Medicine, Future Pipeline Discovery, GlaxoSmithKline R&D, Middlesex, UK
| | - Noam Epstein
- Discovery Medicine, GlaxoSmithKline R&D, Upper Providence, USA
| | - Tessa Kliest
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Adriaan D de Jongh
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Henk-Jan Westeneng
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ammar Al-Chalabi
- King's College London, London, Maurice Wohl Clinical Neuroscience Institute and United Kingdom Dementia Research Institute Centre, Department of Basic and Clinical Neuroscience, UK.,Department of Neurology, King's College Hospital, London, UK
| | - Philip Van Damme
- Department of Neurosciences, Laboratory for Neurobiology, KU Leuven and Center for Brain & Disease Research, VIB, Leuven Brain Institute, Leuven, Belgium.,Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Orla Hardiman
- Department of Neurology, National Neuroscience Centre, Beaumont Hospital, Dublin, Ireland.,FutureNeuro SFI Research Centre, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Pamela J Shaw
- Department of Neuroscience, University of Sheffield, Sheffield Institute for Translational Neuroscience, Sheffield, UK
| | - Christopher J McDermott
- Department of Neuroscience, University of Sheffield, Sheffield Institute for Translational Neuroscience, Sheffield, UK
| | - Marinus J C Eijkemans
- Biostatistics & Research Support, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| |
Collapse
|
36
|
Brooks BR, Pioro EP, Beaulieu D, Taylor AA, Schactman M, Keymer M, Agnese W, Perdrizet J, Apple S, Ennist DL. Evidence for generalizability of edaravone efficacy using a novel machine learning risk-based subgroup analysis tool. Amyotroph Lateral Scler Frontotemporal Degener 2021; 23:49-57. [PMID: 34251911 DOI: 10.1080/21678421.2021.1927102] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Introduction: The edaravone development program for amyotrophic lateral sclerosis (ALS) included trials MCI186-16 (Study 16) and MCI186-19 (Study 19). A cohort enrichment strategy was based on a Study 16 post hoc analysis and applied to Study 19 to elucidate a treatment effect in that study. To determine whether the Study 19 results could be generalized to a broader ALS population, we used a machine learning (ML) model to create a novel risk-based subgroup analysis tool. Methods: A validated ML model was used to rank order all Study 16 participants by predicted time to 50% expected vital capacity. Subjects were stratified into nearest-neighbor risk-based subgroups that were systematically expanded to include the entire Study 16 population. For each subgroup, a statistical analysis generated heat maps that revealed statistically significant effect sizes. Results: A broad region of the Study 16 heat map with significant effect sizes was identified, including up to 70% of the trial population. Incorporating participants identified in the cohort enrichment strategy yielded a broad group comprising 76% of the original participants with a statistically significant treatment effect. This broad group spanned the full range of the functional score progression observed in Study 16. Conclusions: This analysis, applying predictions derived using an ML model to a novel methodology for subgroup identification, ascertained a statistically significant edaravone treatment effect in a cohort of participants with broader disease characteristics than the Study 19 inclusion criteria. This novel methodology may assist clinical interpretation of study results and potentially inform efficient future clinical trial design strategies.
Collapse
Affiliation(s)
| | - Erik P Pioro
- Section of ALS & Related Disorders, Cleveland Clinic, Cleveland, OH, USA
| | | | | | | | - Mike Keymer
- Origent Data Sciences, Inc., Vienna, VA, USA, and
| | - Wendy Agnese
- Mitsubishi Pharma America, Inc., Jersey City, NJ, USA
| | | | - Stephen Apple
- Mitsubishi Pharma America, Inc., Jersey City, NJ, USA
| | | |
Collapse
|
37
|
Daghlas SA, Govindarajan R. Relative effects of forced vital capacity and ALSFRS-R on survival in ALS. Muscle Nerve 2021; 64:346-351. [PMID: 34076262 DOI: 10.1002/mus.27344] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 05/27/2021] [Accepted: 05/28/2021] [Indexed: 01/26/2023]
Abstract
INTRODUCTION/AIM Amyotrophic lateral sclerosis (ALS) is a degenerative neuromuscular disease with marked clinical heterogeneity. This heterogeneity can be partly captured by clinical measures, such as the forced vital capacity (FVC) and ALS Functional Rating Scale-Revised (ALSFRS-R). We aimed to further characterize the performance of these clinical measures, including their independence and additivity, in predicting mortality. METHODS We leveraged the Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT ALS) database, which includes data from 23 clinical trials (n = 2050). The primary exposures were baseline FVC and ALSFRS-R. The primary outcome was 1-y mortality. We performed correlation analyses, survival analyses and assessed classification performance using receiver operator characteristic (ROC) curves. RESULTS FVC and ALSFRS-R were weakly correlated (r = 0.31, p < .001). A 1-SD increase in FVC (hazard ratio [HR]: 0.66; 95% confidence interval [CI]: 0.59-0.74) and ALSFRS-R (HR: 0.75; 95% CI: 0.68-0.82) were associated with reduced risk of 1-y mortality. ROC analyses showed optimal predictive cutoffs at 80% for FVC (area under the curve [AUC]: 0.69) and 38 for ALSFRS-R (AUC: 0.67). After stratifying patients based on these cutoffs, we found a marked reduction (HR: 0.25; 95% CI: 0.19-0.33) in incident mortality for patients in the high FVC and high ALSFRS-R group relative to the low FVC and low ALSFRS-R group. DISCUSSION ALSFRS-R and FVC are comparable predictors of survival that are only weakly correlated. When considered together, they synergistically predict survival. As such, consideration of both measures should be a routine part of prognostication in care of patients with ALS.
Collapse
Affiliation(s)
- Salah A Daghlas
- University of Missouri-Columbia, School of Medicine, Columbia, Missouri, USA
| | - Raghav Govindarajan
- Department of Neurology, University of Missouri-Columbia, Columbia, Missouri, USA
| | | |
Collapse
|
38
|
van Eijk RPA, Kliest T, van den Berg LH. Current trends in the clinical trial landscape for amyotrophic lateral sclerosis. Curr Opin Neurol 2021; 33:655-661. [PMID: 32796282 DOI: 10.1097/wco.0000000000000861] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE OF REVIEW To review the current developments in the design and conduct of clinical trials for amyotrophic lateral sclerosis (ALS), illustrated by a critical appraisal of ClinicalTrials.gov. RECENT FINDINGS In total, 63 clinical trials were included in the analysis, of which 13 phase 1, 35 phase 2 and 15 phase 3. Virtually all phase 3 clinical trials can be classified as randomized, placebo controlled, whereas this is only true for 57% of the phase 2 clinical trials. There are promising developments in the routes of drug administration, eligibility criteria, efficacy endpoints and overall trial design. Some of these innovative approaches may, however, not fulfil clinical trial guidelines or regulatory requirements. This could delay the development of effective therapy or hamper our ability to determine whether a treatment is truly (in)effective. The initiation of trial consortia comprising patient organizations, academia, industry and funding bodies may significantly strengthen the future clinical trial landscape for ALS. SUMMARY The ALS clinical trial landscape is currently highly active with several promising innovative developments and therapeutic options. By further refinement of evidence-based guidelines, and alignment of our current endeavours, we may soon be able to positively impact the lives of people living with ALS.
Collapse
Affiliation(s)
- Ruben P A van Eijk
- Department of Neurology, UMC Utrecht Brain Centre.,Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Tessa Kliest
- Department of Neurology, UMC Utrecht Brain Centre
| | | |
Collapse
|
39
|
Beswick E, Glasmacher SA, Dakin R, Newton J, Carson A, Abrahams S, Chandran S, Pal S. Prospective observational cohort study of factors influencing trial participation in people with motor neuron disease (FIT-participation-MND): a protocol. BMJ Open 2021; 11:e044996. [PMID: 33757953 PMCID: PMC7993162 DOI: 10.1136/bmjopen-2020-044996] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
INTRODUCTION Motor neuron disease (MND) is a rapidly progressive and fatal neurodegenerative disorder with limited treatment options. The Motor Neuron Disease Systematic Multi-Arm Randomised Adaptive Trial (MND-SMART) is a multisite UK trial seeking to address the paucity in effective disease-modifying drugs for people with MND (pwMND). Historically, neurological trials have been plagued by suboptimal recruitment and high rates of attrition. Failure to recruit and/or retain participants can cause insufficiently representative samples, terminated trials or invalid conclusions. This study investigates patient-specific factors affecting recruitment and retention of pwMND to MND-SMART. Improved understanding of these factors may improve trial protocol design, optimise recruitment and retention. METHODS AND ANALYSIS PwMND on the Scottish MND Register, Clinical Audit Research and Evaluation of MND (CARE-MND), will be invited to participate in a prospective observational cohort study that investigates factors affecting trial participation and attrition. We hypothesise that patient-specific factors will significantly affect trial recruitment and retention. Participants will complete the Hospital Anxiety and Depression Scale, 9-Item Patient Health Questionnaire and State-Trait Anxiety Inventory-Form Y to evaluate neuropsychiatric symptoms, the ALS-Specific Quality of Life Questionnaire-Brief Form and Centre for Disease Control and Prevention-Health-Related Quality of Life for quality of life and a novel study-specific questionnaire on Attitudes towards Clinical Trial Participation (ACT-Q). Clinical data on phenotype, cognition (Edinburgh Cognitive and Behavioural ALS Screen) and physical functioning (Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised) will also be collated. Caregivers will complete the Brief Dimensional Apathy Scale. After 12 months, a data request to MND-SMART will evaluate recruitment and retention. Descriptive statistics will summarise and compare assessments and participants reaching impairment thresholds. Variable groupings: attitudes, quality of life, cognition, behaviour, physical functioning, neuropsychiatric and phenotype. Univariate and multivariable logistic regression will explore association with participation/withdrawal in MND-SMART; presented as ORs and 95% CIs. ETHICS AND DISSEMINATION Ethical approval was provided by the West of Scotland Research Ethics Committee 3 (20/WS/0067) on 12 May 2020. The results of this study will be published in a peer-reviewed journal, presented at academic conferences and disseminated to participants and the public.
Collapse
Affiliation(s)
- Emily Beswick
- Centre for Clinical Brain Sciences, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
| | - Stella A Glasmacher
- Centre for Clinical Brain Sciences, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
| | - Rachel Dakin
- Centre for Clinical Brain Sciences, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
| | - Judith Newton
- Centre for Clinical Brain Sciences, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
| | - Alan Carson
- Centre for Clinical Brain Sciences, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
| | - Sharon Abrahams
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- Human Cognitive Neurosciences, The University of Edinburgh, Edinburgh, UK
| | - Siddharthan Chandran
- Centre for Clinical Brain Sciences, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
| | - Suvankar Pal
- Centre for Clinical Brain Sciences, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- Euan MacDonald Centre for Motor Neuron Disease Research, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh Division of Medical and Radiological Sciences, Edinburgh, UK
- The National Creutzfeldt-Jakob Disease Research and Surveillance Unit, Western General Hospital, Edinburgh, UK
| |
Collapse
|
40
|
de Jongh AD, van Eijk RPA, Peters SM, van Es MA, Horemans AMC, van der Kooi AJ, Voermans NC, Vermeulen RCH, Veldink JH, van den Berg LH. Incidence, Prevalence, and Geographical Clustering of Motor Neuron Disease in the Netherlands. Neurology 2021; 96:e1227-e1236. [PMID: 33472922 PMCID: PMC8055340 DOI: 10.1212/wnl.0000000000011467] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 10/26/2020] [Indexed: 01/31/2023] Open
Abstract
OBJECTIVE To assess time trends in motor neuron disease (MND) incidence, prevalence, and mortality and to investigate geographic clustering of MND cases in the Netherlands from 1998 to 2017, we analyzed data from the Netherlands Personal Records database, the Netherlands MND Center, and the Netherlands Patient Association of Neuromuscular Diseases. METHODS In this prospective cohort study, Poisson regression was used to assess time trends in MND risk. We calculated age- and sex-standardized, observed, and expected cases for 1,694 areas. Bayesian smoothed risk mapping was used to investigate geographic MND risk. RESULTS We identified 7,992 MND cases, reflecting an incidence of 2.64 (95% confidence interval [CI] 2.62-2.67) per 100,000 person-years and a prevalence of 9.5 (95% CI 9.1-10.0) per 100,000 persons. Highest age-standardized prevalence and mortality rates occurred at a later age in men than in women (p < 0.001). Unadjusted mortality rates increased by 53.2% from 2.57 per 100,000 person-years in 1998 to 3.86 per 100,000 person-years in 2017. After adjustment for age and sex, an increase in MND mortality rate of 14.1% (95% CI 5.7%-23.2%, p < 0.001) remained. MND relative risk ranged from 0.78 to 1.43 between geographic areas; multiple urban and rural high-risk areas were identified. CONCLUSIONS We found a significant national increase in MND mortality from 1998 through 2017, explained only partly by an aging Dutch population, and a geographic variability in MND risk, suggesting a role for environmental or demographic risk factors.
Collapse
Affiliation(s)
- Adriaan D de Jongh
- From the Department of Neurology (A.D.d.J., R.P.A.v.E., M.A.v.E., J.H.V., LH.v.d.B.), Brain Center Rudolf Magnus, Biostatistics & Research Support (R.P.A.v.E.), and Julius Center for Health Sciences and Primary Care (R.C.H.V.), University Medical Center Utrecht; Institute for Risk Assessment Sciences (S.M.P., R.C.H.V.), Utrecht University, the Netherlands; National Patient Organization for Neuromuscular Diseases (A.M.C.H.), Baarn; Department of Neurology (A.J.v.d.K.), Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience; and Department of Neurology (N.C.V.), Donders Center for Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ruben P A van Eijk
- From the Department of Neurology (A.D.d.J., R.P.A.v.E., M.A.v.E., J.H.V., LH.v.d.B.), Brain Center Rudolf Magnus, Biostatistics & Research Support (R.P.A.v.E.), and Julius Center for Health Sciences and Primary Care (R.C.H.V.), University Medical Center Utrecht; Institute for Risk Assessment Sciences (S.M.P., R.C.H.V.), Utrecht University, the Netherlands; National Patient Organization for Neuromuscular Diseases (A.M.C.H.), Baarn; Department of Neurology (A.J.v.d.K.), Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience; and Department of Neurology (N.C.V.), Donders Center for Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Susan M Peters
- From the Department of Neurology (A.D.d.J., R.P.A.v.E., M.A.v.E., J.H.V., LH.v.d.B.), Brain Center Rudolf Magnus, Biostatistics & Research Support (R.P.A.v.E.), and Julius Center for Health Sciences and Primary Care (R.C.H.V.), University Medical Center Utrecht; Institute for Risk Assessment Sciences (S.M.P., R.C.H.V.), Utrecht University, the Netherlands; National Patient Organization for Neuromuscular Diseases (A.M.C.H.), Baarn; Department of Neurology (A.J.v.d.K.), Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience; and Department of Neurology (N.C.V.), Donders Center for Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Michael A van Es
- From the Department of Neurology (A.D.d.J., R.P.A.v.E., M.A.v.E., J.H.V., LH.v.d.B.), Brain Center Rudolf Magnus, Biostatistics & Research Support (R.P.A.v.E.), and Julius Center for Health Sciences and Primary Care (R.C.H.V.), University Medical Center Utrecht; Institute for Risk Assessment Sciences (S.M.P., R.C.H.V.), Utrecht University, the Netherlands; National Patient Organization for Neuromuscular Diseases (A.M.C.H.), Baarn; Department of Neurology (A.J.v.d.K.), Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience; and Department of Neurology (N.C.V.), Donders Center for Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Anja M C Horemans
- From the Department of Neurology (A.D.d.J., R.P.A.v.E., M.A.v.E., J.H.V., LH.v.d.B.), Brain Center Rudolf Magnus, Biostatistics & Research Support (R.P.A.v.E.), and Julius Center for Health Sciences and Primary Care (R.C.H.V.), University Medical Center Utrecht; Institute for Risk Assessment Sciences (S.M.P., R.C.H.V.), Utrecht University, the Netherlands; National Patient Organization for Neuromuscular Diseases (A.M.C.H.), Baarn; Department of Neurology (A.J.v.d.K.), Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience; and Department of Neurology (N.C.V.), Donders Center for Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Anneke J van der Kooi
- From the Department of Neurology (A.D.d.J., R.P.A.v.E., M.A.v.E., J.H.V., LH.v.d.B.), Brain Center Rudolf Magnus, Biostatistics & Research Support (R.P.A.v.E.), and Julius Center for Health Sciences and Primary Care (R.C.H.V.), University Medical Center Utrecht; Institute for Risk Assessment Sciences (S.M.P., R.C.H.V.), Utrecht University, the Netherlands; National Patient Organization for Neuromuscular Diseases (A.M.C.H.), Baarn; Department of Neurology (A.J.v.d.K.), Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience; and Department of Neurology (N.C.V.), Donders Center for Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Nicol C Voermans
- From the Department of Neurology (A.D.d.J., R.P.A.v.E., M.A.v.E., J.H.V., LH.v.d.B.), Brain Center Rudolf Magnus, Biostatistics & Research Support (R.P.A.v.E.), and Julius Center for Health Sciences and Primary Care (R.C.H.V.), University Medical Center Utrecht; Institute for Risk Assessment Sciences (S.M.P., R.C.H.V.), Utrecht University, the Netherlands; National Patient Organization for Neuromuscular Diseases (A.M.C.H.), Baarn; Department of Neurology (A.J.v.d.K.), Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience; and Department of Neurology (N.C.V.), Donders Center for Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Roel C H Vermeulen
- From the Department of Neurology (A.D.d.J., R.P.A.v.E., M.A.v.E., J.H.V., LH.v.d.B.), Brain Center Rudolf Magnus, Biostatistics & Research Support (R.P.A.v.E.), and Julius Center for Health Sciences and Primary Care (R.C.H.V.), University Medical Center Utrecht; Institute for Risk Assessment Sciences (S.M.P., R.C.H.V.), Utrecht University, the Netherlands; National Patient Organization for Neuromuscular Diseases (A.M.C.H.), Baarn; Department of Neurology (A.J.v.d.K.), Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience; and Department of Neurology (N.C.V.), Donders Center for Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jan H Veldink
- From the Department of Neurology (A.D.d.J., R.P.A.v.E., M.A.v.E., J.H.V., LH.v.d.B.), Brain Center Rudolf Magnus, Biostatistics & Research Support (R.P.A.v.E.), and Julius Center for Health Sciences and Primary Care (R.C.H.V.), University Medical Center Utrecht; Institute for Risk Assessment Sciences (S.M.P., R.C.H.V.), Utrecht University, the Netherlands; National Patient Organization for Neuromuscular Diseases (A.M.C.H.), Baarn; Department of Neurology (A.J.v.d.K.), Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience; and Department of Neurology (N.C.V.), Donders Center for Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Leonard H van den Berg
- From the Department of Neurology (A.D.d.J., R.P.A.v.E., M.A.v.E., J.H.V., LH.v.d.B.), Brain Center Rudolf Magnus, Biostatistics & Research Support (R.P.A.v.E.), and Julius Center for Health Sciences and Primary Care (R.C.H.V.), University Medical Center Utrecht; Institute for Risk Assessment Sciences (S.M.P., R.C.H.V.), Utrecht University, the Netherlands; National Patient Organization for Neuromuscular Diseases (A.M.C.H.), Baarn; Department of Neurology (A.J.v.d.K.), Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience; and Department of Neurology (N.C.V.), Donders Center for Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands.
| |
Collapse
|
41
|
Murdock BJ, Goutman SA, Boss J, Kim S, Feldman EL. Amyotrophic Lateral Sclerosis Survival Associates With Neutrophils in a Sex-specific Manner. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2021; 8:8/2/e953. [PMID: 33531377 PMCID: PMC8057067 DOI: 10.1212/nxi.0000000000000953] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 11/13/2020] [Indexed: 12/11/2022]
Abstract
Objective To determine whether neutrophils contribute to amyotrophic lateral sclerosis
(ALS) progression, we tested the association of baseline neutrophil count on
ALS survival, whether the effect was sex specific, and whether neutrophils
accumulate in the spinal cord. Methods A prospective cohort study was conducted between June 22, 2011, and October
30, 2019. Blood leukocytes were isolated from ALS participants and
neutrophil levels assessed by flow cytometry. Participant survival outcomes
were analyzed by groups (<2 × 106, 2–4 ×
106, and >4 × 106 neutrophils/mL) with
adjustments for relevant ALS covariates and by sex. Neutrophil levels were
assessed from CNS tissue from a subset of participants. Results A total of 269 participants with ALS within 2 years of an ALS diagnosis were
included. Participants with baseline neutrophil counts over 4 ×
106/mL had a 2.1 times higher mortality rate than those with
a neutrophil count lower than 2 × 106/mL (95% CI:
1.3–3.5, p = 0.004) when adjusting for age,
sex, and other covariates. This effect was more pronounced in females, with
a hazard ratio of 3.8 (95% CI: 1.8–8.2, p =
0.001) in the >4 × 106/mL vs <2 ×
106/mL group. Furthermore, ALS participants (n = 8) had
increased neutrophils in cervical (p = 0.049) and
thoracic (p = 0.022) spinal cord segments compared
with control participants (n = 8). Conclusions Higher neutrophil counts early in ALS associate with a shorter survival in
female participants. Furthermore, neutrophils accumulate in ALS spinal cord
supporting a pathophysiologic correlate. These data justify the
consideration of immunity and sex for personalized therapeutic development
in ALS. Classification of Evidence This study provides Class III evidence that in female participants with ALS,
higher baseline neutrophil counts are associated with shorter survival.
Collapse
Affiliation(s)
- Benjamin J Murdock
- From the Department of Neurology (B.J.M., S.A.G., E.L.F.), and Department of Biostatistics (J.B., S.K.), School of Public Health, University of Michigan, Ann Arbor
| | - Stephen A Goutman
- From the Department of Neurology (B.J.M., S.A.G., E.L.F.), and Department of Biostatistics (J.B., S.K.), School of Public Health, University of Michigan, Ann Arbor.
| | - Jonathan Boss
- From the Department of Neurology (B.J.M., S.A.G., E.L.F.), and Department of Biostatistics (J.B., S.K.), School of Public Health, University of Michigan, Ann Arbor
| | - Sehee Kim
- From the Department of Neurology (B.J.M., S.A.G., E.L.F.), and Department of Biostatistics (J.B., S.K.), School of Public Health, University of Michigan, Ann Arbor
| | - Eva L Feldman
- From the Department of Neurology (B.J.M., S.A.G., E.L.F.), and Department of Biostatistics (J.B., S.K.), School of Public Health, University of Michigan, Ann Arbor
| |
Collapse
|
42
|
Beaulieu D, Berry JD, Paganoni S, Glass JD, Fournier C, Cuerdo J, Schactman M, Ennist DL. Development and validation of a machine-learning ALS survival model lacking vital capacity (VC-Free) for use in clinical trials during the COVID-19 pandemic. Amyotroph Lateral Scler Frontotemporal Degener 2021; 22:22-32. [PMID: 34348539 DOI: 10.1080/21678421.2021.1924207] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/27/2021] [Accepted: 04/27/2021] [Indexed: 10/20/2022]
Abstract
Introduction: Vital capacity (VC) is routinely used for ALS clinical trial eligibility determinations, often to exclude patients unlikely to survive trial duration. However, spirometry has been limited by the COVID-19 pandemic. We developed a machine-learning survival model without the use of baseline VC and asked whether it could stratify clinical trial participants and a wider ALS clinic population. Methods. A gradient boosting machine survival model lacking baseline VC (VC-Free) was trained using the PRO-ACT ALS database and compared to a multivariable model that included VC (VCI) and a univariable baseline %VC model (UNI). Discrimination, calibration-in-the-large and calibration slope were quantified. Models were validated using 10-fold internal cross validation, the VITALITY-ALS clinical trial placebo arm and data from the Emory University tertiary care clinic. Simulations were performed using each model to estimate survival of patients predicted to have a > 50% one year survival probability. Results. The VC-Free model suffered a minor performance decline compared to the VCI model yet retained strong discrimination for stratifying ALS patients. Both models outperformed the UNI model. The proportion of excluded vs. included patients who died through one year was on average 27% vs. 6% (VCI), 31% vs. 7% (VC-Free), and 13% vs. 10% (UNI). Conclusions. The VC-Free model offers an alternative to the use of VC for eligibility determinations during the COVID-19 pandemic. The observation that the VC-Free model outperforms the use of VC in a broad ALS patient population suggests the use of prognostic strata in future, post-pandemic ALS clinical trial eligibility screening determinations.
Collapse
Affiliation(s)
| | - James D Berry
- Sean M. Healey & AMG Center for ALS and Neurological Clinical Research Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Sabrina Paganoni
- Sean M. Healey & AMG Center for ALS and Neurological Clinical Research Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Jonathan D Glass
- Department of Neurology, Emory University School of Medicine Atlanta, Atlanta, GA USA
| | - Christina Fournier
- Department of Neurology, Emory University School of Medicine Atlanta, Atlanta, GA USA
| | | | | | | |
Collapse
|
43
|
Zhou N, Manser P. Does including machine learning predictions in ALS clinical trial analysis improve statistical power? Ann Clin Transl Neurol 2020; 7:1756-1765. [PMID: 32862509 PMCID: PMC7545604 DOI: 10.1002/acn3.51140] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 06/30/2020] [Accepted: 06/30/2020] [Indexed: 11/11/2022] Open
Abstract
Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease which leads to progressive muscle weakness and eventually death. The increasing availability of large ALS clinical trial datasets have generated much interest in developing predictive models for disease progression. However, the utility of predictive modeling on clinical trial analysis has not been thoroughly evaluated. Methods We evaluated a predictive modeling approach for ALS disease progression measured by ALSFRS‐R using the PRO‐ACT database and validated our findings in a novel test set from a former clinical trial. We examined clinical trial scenarios where model predictions could improve statistical power for detecting treatment effects with simulated clinical trials. Results Models constructed with imputed PRO‐ACT data have better external validation results than those fitted with complete observations. When fitted with imputed data, super learner (R2 = 0.71, MSPE = 19.7) and random forest (R2 = 0.70, MSPE = 19.6) have similar performance in the external validation and slightly outperform the linear mixed effects model (R2 = 0.69, MSPE = 20.5). Simulation studies suggest including machine learning predictions as a covariate in the analysis model of a 12‐month clinical study can increase the trial's effective sample size by 16% when there is a hypothetical treatment effect of 25% reduction in ALSFRS‐R mean rate of change. Interpretation Predictive modeling approaches for ALSFRS‐R are able to explain a moderate amount of variability in longitudinal change, which is improved by robust missing data handling for baseline characteristics. Including ALSFRS‐R post‐baseline model prediction results as a covariate in the model for primary analysis may increase power under moderate treatment effects.
Collapse
Affiliation(s)
- Nina Zhou
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Paul Manser
- Department of Biostatistics, Genentech, Inc., South San Francisco, California, USA
| |
Collapse
|
44
|
Janse van Mantgem MR, van Eijk RPA, van der Burgh HK, Tan HHG, Westeneng HJ, van Es MA, Veldink JH, van den Berg LH. Prognostic value of weight loss in patients with amyotrophic lateral sclerosis: a population-based study. J Neurol Neurosurg Psychiatry 2020; 91:867-875. [PMID: 32576612 DOI: 10.1136/jnnp-2020-322909] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 03/24/2020] [Accepted: 04/07/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVE To determine the prevalence and prognostic value of weight loss (WL) prior to diagnosis in patients with amyotrophic lateral sclerosis (ALS). METHODS We enrolled patients diagnosed with ALS between 2010 and 2018 in a population-based setting. At diagnosis, detailed information was obtained regarding the patient's disease characteristics, anthropological changes, ALS-related genotypes and cognitive functioning. Complete survival data were obtained. Cox proportional hazard models were used to assess the association between WL and the risk of death during follow-up. RESULTS The data set comprised 2420 patients of whom 67.5% reported WL at diagnosis. WL occurred in 71.8% of the bulbar-onset and in 64.2% of the spinal-onset patients; the mean loss of body weight was 6.9% (95% CI 6.8 to 6.9) and 5.5% (95% CI 5.5 to 5.6), respectively (p<0.001). WL occurred in 35.1% of the patients without any symptom of dysphagia. WL is a strong independent predictor of survival, with a dose response relationship between the amount of WL and the risk of death: the risk of death during follow-up increased by 23% for every 10% increase in WL relative to body weight (HR 1.23, 95% CI 1.13 to 1.51, p<0.001). CONCLUSIONS This population-based study shows that two-thirds of the patients with ALS have WL at diagnosis, which also occurs independent of dysphagia, and is related to survival. Our results suggest that WL is a multifactorial process that may differ from patient to patient. Gaining further insight in its underlying factors could prove essential for future therapeutic measures.
Collapse
Affiliation(s)
| | - Ruben P A van Eijk
- Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands.,Biostatistics and Research Support, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | | | - Harold H G Tan
- Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Henk-Jan Westeneng
- Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Michael A van Es
- Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | - Jan H Veldink
- Neurology, University Medical Centre Utrecht Brain Centre, Utrecht, The Netherlands
| | | |
Collapse
|
45
|
Richards D, Morren JA, Pioro EP. Time to diagnosis and factors affecting diagnostic delay in amyotrophic lateral sclerosis. J Neurol Sci 2020; 417:117054. [PMID: 32763509 DOI: 10.1016/j.jns.2020.117054] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 07/20/2020] [Accepted: 07/20/2020] [Indexed: 12/12/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a progressive, degenerative neuromuscular disease with limited treatment options. The diagnosis of ALS can be challenging for numerous reasons, resulting in delays that may compromise optimal management and enrollment into clinical trials. Several studies have examined the process and challenges regarding the clinical diagnosis of ALS. Twenty-one studies that were almost exclusively from the English literature published between 1990 and 2020 were identified via PubMed using relevant search terms and included patient populations from the United States, Canada, Japan, Egypt, and several countries in South America and Europe. Probable or definitive ALS patients were identified using El Escorial or revised El Escorial/Airlie House Criteria. Time to diagnosis or diagnostic delay was defined as mean or median time from patient-reported first symptom onset to formal diagnosis by a physician, as recorded in medical records. The typical time to diagnosis was 10-16 months from symptom onset. Several points of delay in the diagnosis course were identified, including specialist referrals and misdiagnoses, often resulting in unnecessary procedures and surgeries. Bulbar onset was noted to significantly reduce time to ALS diagnosis. Future interventions and potential research opportunities were reviewed.
Collapse
Affiliation(s)
- Danielle Richards
- Neuromuscular Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - John A Morren
- Neuromuscular Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
| | - Erik P Pioro
- Neuromuscular Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| |
Collapse
|
46
|
van Eijk RP, Kliest T, McDermott CJ, Roes KC, Van Damme P, Chio A, Weber M, Ingre C, Corcia P, Povedano M, Reviers E, van Es MA, Al-Chalabi A, Hardiman O, van den Berg LH. TRICALS: creating a highway toward a cure. Amyotroph Lateral Scler Frontotemporal Degener 2020; 21:496-501. [DOI: 10.1080/21678421.2020.1788092] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Ruben P.A. van Eijk
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
- Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Tessa Kliest
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Christopher J. McDermott
- Department of Neuroscience, University of Sheffield, Sheffield Institute for Translational Neuroscience, Sheffield, UK
| | - Kit C.B. Roes
- Department of Health Evidence, Section Biostatistics, Radboud Medical Centre Nijmegen, the Netherlands
| | - Philip Van Damme
- Department of Neurosciences, Laboratory for Neurobiology, KU Leuven and Center for Brain & Disease Research, VIB, Leuven Brain Institute, Leuven, Belgium
- Department of Neurology, University Hospital Leuven, Leuven, Belgium
| | - Adriano Chio
- Rita Levi Montalcini’ Department of Neuroscience, ALS Centre, University of Torino, Turin, Italy
- Azienda Ospedaliera Città della Salute e della Scienza, Turin, Italy
| | - Markus Weber
- Neuromoscular Disease Unit/ALS Clinic, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Caroline Ingre
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Philippe Corcia
- Centre Constitutif SLA, CHRU de Tours - Fédération des centres SLA Tours-Limoges, LitORALS, Tours, France
| | - Mònica Povedano
- Functional Unit of Amyotrophic Lateral Sclerosis (UFELA), Service of Neurology, Bellvitge University Hospital, Hospitalet de Llobregat, Spain
| | - Evy Reviers
- European Organization for Professionals and Patients with ALS (EUpALS), Leuven, Belgium
| | - Michael A. van Es
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute and United Kingdom Dementia Research Institute Centre, King’s College London, London, UK
- Department of Neurology, King’s College Hospital, London, UK
| | - Orla Hardiman
- Department of Neurology, National Neuroscience Centre, Beaumont Hospital, Dublin, Ireland, and
- FutureNeuro SFI Research Centre, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Leonard H. van den Berg
- Department of Neurology, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands
| |
Collapse
|
47
|
Van Es MA, Van Eijk RPA, Bunte TM, Van Den Berg LH. A placebo-controlled trial to investigate the safety and efficacy of Penicillin G/Hydrocortisone in patients with ALS (PHALS trial). Amyotroph Lateral Scler Frontotemporal Degener 2020; 21:584-592. [PMID: 32627599 DOI: 10.1080/21678421.2020.1788093] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVE A recent case-series described patients with ALS to improve and/or stabilize after treatment with intravenous high-dose Penicillin G/Hydrocortisone (PenGH). In this study, we determine the safety and efficacy of intravenous PenGH versus placebo in combination with riluzole in patients with ALS. METHODS Patients diagnosed with ALS according to the El Escorial criteria were randomized double-blind to four quarterly cycles of 21 d of intravenous PenGH or placebo in a 5:3 ratio. The primary outcome was change from baseline to week 48 in Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R). Secondary outcomes were lung function, muscle strength, plasma creatinine, clinical stage, gastrostomy placement, quality of life and occurrence of adverse of events. RESULTS In total, 16 patients were randomized (10 PenGH and 6 placebo), of which 6 (40%) completed the study. Patients treated with PenGH progressed with 2.2 (95% CI 1.1-3.3) ALSFRS-R points per month and PenGH treatment did not halt disease progression (p = 0.002). No significant differences were found between PenGH or placebo (mean difference 0.5, 95% CI -1.01 to ∞, p = 0.28). Although PenGH was well-tolerated, 6 patients (38%, 3 in each arm) had thrombotic complications due to the intravenous administration method. CONCLUSIONS Treatment with PenGH does not halt disease or reverse progression in patients with ALS and showed no statistical difference with those who received placebo. Prolonged intravenous administration therapies may inflate thrombosis risk.
Collapse
Affiliation(s)
- Michael A Van Es
- Department of Neurology, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Ruben P A Van Eijk
- Department of Neurology, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, the Netherlands.,Biostatistics & Research Support, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Tommy M Bunte
- Department of Neurology, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Leonard H Van Den Berg
- Department of Neurology, UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht, the Netherlands
| |
Collapse
|
48
|
Bendotti C, Bonetto V, Pupillo E, Logroscino G, Al-Chalabi A, Lunetta C, Riva N, Mora G, Lauria G, Weishaupt JH, Agosta F, Malaspina A, Basso M, Greensmith L, Van Den Bosch L, Ratti A, Corbo M, Hardiman O, Chiò A, Silani V, Beghi E. Focus on the heterogeneity of amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2020; 21:485-495. [PMID: 32583689 DOI: 10.1080/21678421.2020.1779298] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
The clinical manifestations of amyotrophic lateral sclerosis (ALS) are variable in terms of age at disease onset, site of onset, progression of symptoms, motor neuron involvement, and the occurrence of cognitive and behavioral changes. Genetic background is a key determinant of the ALS phenotype. The mortality of the disease also varies with the ancestral origin of the affected population and environmental factors are likely to be associated with ALS at least within some cohorts. Disease heterogeneity is likely underpinned by the presence of different pathogenic mechanisms. A variety of ALS animal models can be informative about the heterogeneity of the neuropathological or genetic aspects of the disease and can support the development of new therapeutic intervention. Evolving biomarkers can contribute to the identification of differing genotypes and phenotypes, and can be used to explore whether genotypic and phenotypic differences in animal models might help to provide a better definition of the heterogeneity of ALS in humans. These include neurofilaments, peripheral blood mononuclear cells, extracellular vesicles, microRNA and imaging findings. These biomarkers might predict not only the development of the disease, but also the variability in progression, although robust validation is required. A promising area of progress in modeling the heterogeneity of human ALS is represented by the use of human induced pluripotent stem cell (iPSCs)-derived motor neurons. Although the translational value of iPSCs remains unclear, this model is attractive in the perspective of replicating the heterogeneity of sporadic ALS as a first step toward a personalized medicine strategy.
Collapse
Affiliation(s)
- Caterina Bendotti
- Mario Negri-ALS Study Group, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Valentina Bonetto
- Mario Negri-ALS Study Group, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Elisabetta Pupillo
- Mario Negri-ALS Study Group, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Giancarlo Logroscino
- Department of Neurosciences and Sense Organs, Center for Neurodegenerative Diseases and the Aging Brain Università degli Studi di Bari, Bari; Fondazione Giovanni Panico Tricase, Lecce, Italy
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Christian Lunetta
- NEuroMuscular Omnicentre (NEMO), Serena Onlus Foundation, Milano, Italy
| | - Nilo Riva
- Neuroimaging Research Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milano, Italy
| | - Gabriela Mora
- Department of Neurorehabilitation, ICS Maugeri IRCCS, Milano, Italy
| | - Giuseppe Lauria
- Unit of Neurology, Motor Neuron Disease Center, Fondazione IRCCS Istituto Neurologico "Carlo Besta", Milan, Italy.,Department of Biomedical and Clinical Sciences "Lduigi Sacco", University of Milan, Milan, Italy
| | | | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milano, Italy
| | | | - Manuela Basso
- Mario Negri-ALS Study Group, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.,Department of Cellular, Computational and Integrative Biology (CIBIO), Università degli Studi di Trento, Trento, Italy
| | - Linda Greensmith
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Ludo Van Den Bosch
- Center for Brain & Disease Research (VIB) and Laboratory of Neurobiology (KU Leuven), Leuven, Belgium
| | - Antonia Ratti
- Department of Neurology - Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano, IRCCS, Milano, Italy.,Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milano, Italy
| | - Massimo Corbo
- Department of Neurorehabilitation Sciences, Casa Cura Policlinico (CCP), Milano, Italy
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin, Ireland
| | - Adriano Chiò
- "Rita Levi Montalcini" Department of Neuroscience, Università degli Studi di Torino, Torino, Italy
| | - Vincenzo Silani
- Department of Neurology - Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano, IRCCS, Milano, Italy.,Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Ettore Beghi
- Mario Negri-ALS Study Group, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| |
Collapse
|
49
|
Andrews JA, Jackson CE, Heiman-Patterson TD, Bettica P, Brooks BR, Pioro EP. Real-world evidence of riluzole effectiveness in treating amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2020; 21:509-518. [PMID: 32573277 DOI: 10.1080/21678421.2020.1771734] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To compare the effect of riluzole on median survival in population studies of patients with amyotrophic lateral sclerosis (ALS) with that observed in clinical trials. Methods: Two independent PubMed searches were conducted, to identify population studies that reported median survival for ALS patients who were either treated with riluzole or remained riluzole-free. Results: We identified 14 studies that met the inclusion criteria of reporting median survival and an additional study that reported mean survival of both riluzole and riluzole-free patients. Analysis of the 15 studies found that a majority reported increased survival of riluzole vs. riluzole-free patients. In 8 studies, the median survival for patients treated with riluzole was 6-19 months longer compared with patients not treated with riluzole (p < 0.05). Three additional studies reported a clinically meaningful treatment effect (range 3-5.9 months) but did not meet statistical significance. The remaining 4 studies did not show a meaningful treatment effect between riluzole and riluzole-free groups (<3 months), and differences among the groups were not significant. Also, 5 of the studies used multivariate regression analysis to investigate the level of association between treatment with riluzole and survival; these analyses supported the positive effect of riluzole on survival. Conclusions: A majority of population studies that compared riluzole vs. riluzole-free ALS patients found significant differences in median survival between the two groups, ranging from 6 to 19 months. This is substantially longer than the 2- to 3-month survival benefit observed in the pivotal clinical trials of riluzole.
Collapse
Affiliation(s)
- Jinsy A Andrews
- Neurological Institute of New York, Columbia University, New York, NY, USA
| | | | | | | | - Benjamin Rix Brooks
- Atrium Health Neurosciences Institute, Carolinas Medical Center, University of North Carolina School of Medicine, Charlotte, NC, USA, and
| | - Erik P Pioro
- Neuromuscular Centre, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| |
Collapse
|
50
|
Vijayaraghavan M. Improving Access to Clinical Trials for Amyotrophic Lateral Sclerosis Treatment. JAMA Neurol 2020; 77:671-672. [DOI: 10.1001/jamaneurol.2020.0421] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Maya Vijayaraghavan
- Division of General Internal Medicine, Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco
| |
Collapse
|