Experience with telemedicine in neuromuscular clinic during COVID-19 pandemic.

Objectives: The aim of the present study was to evaluate the feasibility and acceptability of telehealth for the care of neuromuscular patients during the COVID-19 pandemic. Methods: Neuromuscular patients or their caregivers, as well as health care providers (HCPs), who completed a televisit during the pandemic received an online survey, assessing satisfaction with the visit, quality of care, and experience with the televisit interference. Results: Surveys from 46 neuromuscular patients (including 18 with motor neuron disease [MND])/caregivers and 7 HCPs were completed. Several aspects of televisits including good communication, adequate time to discuss concern, provision of equal care, and telemedicine interference were rated favorably among participants. Telehealth was strongly satisfactory in 30 (65.22%) and satisfactory in 15 (32.61%) neuromuscular patients/caregivers. In 18 MND patients, this was 10 (55.56%) and 7 (38.89%), respectively. Moreover, 24 (52.17%) neuromuscular patients/caregivers would strongly agree and 18 (39.13%) would agree to participate again in televisits. This was 10 (55.56%) and 4 (33.33%) for MND cases, respectively. Various medical issues were addressed during the televisits including medication management, ordering tests/referrals, discussion of goals of care, and research. The predictive stepwise logistic model found younger age as a predicting factor for higher satisfaction from, or participation again in, televisits in neuromuscular patients. Limb onset location was also a predicting factor for strong satisfaction from televisits in MND cases. Conclusions: Telemedicine is feasible and highly effective at achieving personalized care that was rated satisfactory by the majority of neuromuscular patients/caregivers and HCPs during the COVID-19 pandemic.

When months matter; modelling the impact of the COVID-19 pandemic on the diagnostic pathway of Motor Neurone Disease (MND).

BACKGROUND: A diagnosis of MND takes an average 10-16 months from symptom onset. Early diagnosis is important to access supportive measures to maximise quality of life. The COVID-19 pandemic has caused significant delays in NHS pathways; the majority of GP appointments now occur online with subsequent delays in secondary care assessment. Given the rapid progression of MND, patients may be disproportionately affected resulting in late stage new presentations. We used Monte Carlo simulation to model the pre-COVID-19 diagnostic pathway and then introduced plausible COVID-19 delays. METHODS: The diagnostic pathway was modelled using gamma distributions of time taken: 1) from symptom onset to GP presentation, 2) for specialist referral, and 3) for diagnosis reached after neurology appointment. We incorporated branches to simulate delays: when patients did not attend their GP and when the GP consultation did not result in referral. An emergency presentation was triggered when diagnostic pathway time was within 30 days of projected median survival. Total time-to-diagnosis was calculated over 100,000 iterations. The pre-COVID-19 model was estimated using published data and the Improving MND Care Survey 2019. We estimated COVID-19 delays using published statistics. RESULTS: The pre-COVID model reproduced known features of the MND diagnostic pathway, with a median time to diagnosis of 399 days and predicting 5.2% of MND patients present as undiagnosed emergencies. COVID-19 resulted in diagnostic delays from 558 days when only primary care was 25% delayed, to 915 days when both primary and secondary care were 75%. The model predicted an increase in emergency presentations ranging from 15.4%-44.5%. INTERPRETATIONS: The model suggests the COVID-19 pandemic will result in later-stage diagnoses and more emergency presentations of undiagnosed MND. Late-stage presentations may require rapid escalation to multidisciplinary care. Proactive recognition of acute and late-stage disease with altered service provision will optimise care for people with MND.

Primary lateral sclerosis natural history study - planning, designing, and early enrollment.

Introduction/Aims. Primary lateral sclerosis (PLS) is exceedingly rare and has been an enigmatic disease. Recent progress has drastically changed this perception, with early biomarkers being investigated and potential medications for PLS emerging at the preclinical stage. The aim of this paper is to describe a study of PLS natural history and discuss the limitations and proposed solutions to the study of a rare and slowly progressive disease. Methods. The PLS Natural History Study is a 30-site, 24-month, prospective study that is supported by multiple funding sources. The study aims to enroll 50 early PLS (disease duration ≤4 years) and 50 definite PLS (disease duration 4 to 15 years) participants using modified PLS Diagnostic Criteria. Smartphone-based assessments including semi-quantitative and quantitative measures and patient-reported outcomes are utilized. In-person quantitative measures are also completed during site visits. The change in the PLS Functional Rating Scale score is the primary outcome. The study utilizes the NeuroBANK® patient-centric data capture and management platform. The biostatistical analysis plan has been developed. Results. In one year, 28 participants have been recruited. Enrollment has been much slower than anticipated due to the COVID-19 pandemic, the rarity of PLS, and potential study competition for internal resources from ALS clinical trials. Discussion. We discuss the need for more innovative methods to enroll and study individuals with such rare diseases and propose a number of mechanisms by which more efficient enrollment could be facilitated.

Reconstruction of the cell pseudo-space from single-cell RNA sequencing data with scSpace (preprint)

Tissues are highly complicated with spatial heterogeneity in gene expression. However, the cutting-edge single-cell RNA-seq technology eliminates the spatial information of individual cells, which contributes to the characterization of cell identities. Herein, we propose s ingle- c ell s patial p osition a ssociated c o- e mbeddings (scSpace), an integrative algorithm to distinguish spatially variable cell subclusters by reconstructing cells onto a pseudo-space with spatial transcriptome references (Visium, STARmap, Slide-seq, etc.). We demonstrated that scSpace can define biologically meaningful cell subpopulations neglected by single-cell RNA-seq or spatially resolved transcriptomics. The use of scSpace to uncover the spatial association within single-cell data, reproduced, the hierarchical distribution of cells in the brain cortex and liver lobules, and the regional variation of cells in heart ventricles and the intestinal villus. scSpace identified cell subclusters in intratelencephalic neurons, which were confirmed by their biomarkers. The application of scSpace in melanoma and Covid-19 exhibited a broad prospect in the discovery of spatial therapeutic markers.

Perceptions of people with motor neurone disease, families and HSCPs: a literature review.

Motor neurone disease or amyotrophic lateral sclerosis is a rapidly progressive terminal neurodegenerative condition caused by degeneration of the upper and lower motor neurones in the central nervous system of the brain. The effects of motor neurone disease are multifaceted, leading to many adjustments in everyday life. This literature review asked what the experiences of people living with motor neurone disease was before and during the COVID-19 pandemic and during the COVID-19 pandemic, especially in terms of their condition and the support they received from health and social care services. A key theme identified was lack of knowledge among professionals when they cared for people living with motor neurone disease and their families. This lack of knowledge often resulted in delayed diagnosis and poor standards of care. COVID-19 impacted on the care of people living with motor neurone disease and their families, and there is a paucity of evidence on how services were perceived by these groups during the COVID-19 pandemic. The experiences of people living with motor neurone disease and their families are currently missing in the literature. In conclusion, further studies are required to include care of people living with motor neurone disease and their families.

Lower Motor Neuron Facial Palsy Following COVID-19 Infection and COVID-19 AstraZeneca Vaccine Administration: Case Reports (preprint)

COVID-19 is a multi-system disorder. Bell’s palsy is a lower motor neuron lesion that is uncommon after COVID-19 or related vaccinations. We documented two incidences of Bell’s palsy in this study, one after she was exposed to COVID-19 and the other after he was exposed to AstraZeneca Vaccine.

Exploring the enablers and barriers to social prescribing for people living with long-term neurological conditions: a focus group investigation.

BACKGROUND: People living with Long Term Neurological Conditions (LTNCs) value peer support and social activities. Psychological support and wellbeing enables them to manage their condition. Social prescribing is a formal process of referring patients to a link worker to co-design a plan to improve their health and wellbeing. Intervention involves supporting participation in activities based within the individual's local community. This study aimed to explore the barriers and enablers to accessing social prescribing for people living with LTNCs (plwLTNCs). METHODS: A total of four focus groups were carried out with 17 participants, including different neurological conditions such as multiple sclerosis, Fragile X Syndrome, epilepsy, and traumatic brain injury. Two participants were family carers and supported people living with epilepsy and motor neurone disease. Findings were analysed using thematic analysis. RESULTS: Five themes were identified: (1) Lack of knowledge; (2) Service provision difficulties; (3) Benefits of social prescribing activities; (4) Physical barriers and (5) Psychological barriers. There was a lack of knowledge about social prescribing and what it actually was. Participants anticipated service provision difficulties relating to funding, link workers need for knowledge of LTNC's and for activities to be varied and individualised. The potential benefits of social prescribing activities were recognised across the groups especially its potential to tackle loneliness and to offer plwLTNC's purpose. Participants highlighted a number of physical barriers such as transport and accessibility; and psychological barriers such as anxiety and stigma. CONCLUSION: Social prescribing aims to address the health inequalities of those living with long-term conditions, however currently it is likely to exclude plwLTNCs. Recommendations for practice and future research are made.

Higher Limbic and Basal Ganglia volumes in surviving COVID-negative patients and the relations to fatigue. (preprint)

BackgroundAmong systemic abnormalities caused by the novel coronavirus, little is known about the critical attack on the central nervous system (CNS). Few studies have shown cerebrovascular pathologies that indicate CNS involvement in acute patients. However, replication studies are necessary to verify if these effects persist in COVID-19 survivors more conclusively. Furthermore, recent studies indicate fatigue is highly prevalent among long-COVID patients. How morphometry in each group relate to work-related fatigue need to be investigated. MethodCOVID survivors were MRI scanned two weeks after hospital discharge. We hypothesized, these survivors will demonstrate altered gray matter volume (GMV) and experience higher fatigue levels when compared to healthy controls, leading to stronger correlation of GMV with fatigue. Voxel-based morphometry was performed on T1-weighted MRI images between 46 survivors and 30 controls. Unpaired two-sample t-test and multiple linear regression were performed to observe group differences and correlation of fatigue with GMV. ResultsThe COVID group experienced significantly higher fatigue levels and GMV of this group was significantly higher within the Limbic System and Basal Ganglia when compared to healthy controls. Moreover, while a significant positive correlation was observed across the whole group between GMV and self-reported fatigue, COVID subjects showed stronger effects within the Posterior Cingulate, Precuneus and Superior Parietal Lobule. ConclusionBrain regions with GMV alterations in our analysis align with both single case acute patient reports and current group level neuroimaging findings. We also newly report a stronger positive correlation of GMV with fatigue among COVID survivors within brain regions associated with fatigue, indicating a link between structural abnormality and brain function in this cohort.

MRI-negative myeloradiculoneuropathy following Covid-19 infection: An index case.

Covid-19 associated several neurological manifestation in the form of Post-infectious transverse myelitis(TM) and para-infectious TM has been reported. A 54 years old female patient presented to us with acute retention of urine and upper motor neuron type of bilateral lower limb weakness in shock stage, after 12 days of covid-19 infection. MRI (3T) brain and spine showed no abnormality and Nerve conduction study showed acquired motor axonal polyradiculoneuropathy in bilateral lower limbs. We herein present an index case of MRI-negative myeloradiculoneuropathy following covid-19 infection.

A Retrospective Analysis of COVID-19 mRNA Vaccine Breakthrough Infections - Risk Factors and Vaccine Effectiveness (preprint)

Importance: Little is known about COVID vaccine breakthrough infections and their risk factors. Objective: To identify risk factors associated with COVID19 breakthrough infections among vaccinated individuals and to reassess the effectiveness of COVID19 vaccination against severe outcomes using realworld data. Design, Setting, and Participants: We conducted a series of observational retrospective analyses using the electronic health records (EHRs) of Columbia University Irving Medical Center/New York Presbyterian (CUIMC/NYP) up to September 21, 2021. New York adult residence with PCR test records were included in this analysis. Main Outcomes and Measures: Poisson regression was used to assess the association between breakthrough infection rate in vaccinated individuals and multiple risk factors, including vaccine brand, demographics, and underlying conditions while adjusting for calendar month, prior number of visits and observational days. Logistic regression was used to assess the association between vaccine administration and infection rate by comparing a vaccinated cohort to a historically matched cohort in the pre-vaccinated period. Infection incident rate was also compared between vaccinated individuals and longitudinally matched unvaccinated individuals. Cox regression was used to estimate the association of the vaccine and COVID19 associated severe outcomes by comparing breakthrough cohort and two matched unvaccinated infection cohorts. Results: Individuals vaccinated with Pfizer/BNT162b2 (IRR against Moderna/mRNA1273 [95% CI]: 1.66 [1.17 - 2.35]); were male (1.47 [1.11 - 1.94%]); and had compromised immune systems (1.48 [1.09 - 2.00]) were at the highest risk for breakthrough infections. Vaccinated individuals had a significant lower infection rate among all subgroups. An increased incidence rate was found in both vaccines over the time. Among individuals infected with COVID19, vaccination significantly reduced the risk of death (adj. HR: 0.20 [0.08 - 0.49]). Conclusion and Relevance: While we found both mRNA vaccines were effective, Moderna/mRNA1273 had a lower incidence rate of breakthrough infections. Both vaccines had increased incidence rates over the time. Immunocompromised individuals were among the highest risk groups experiencing breakthrough infections. Given the rapidly changing nature of the SARSCoV2, continued monitoring and a generalizable analysis pipeline are warranted to inform quick updates on vaccine effectiveness in real time.

A Road Map for Remote Digital Health Technology for Motor Neuron Disease.

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.

Has the Pandemic Changed Moral Attitudes and Organizational Ethics in Knowledge Workers? (preprint)

We explored the Moral Attitudes (MA) and Organizational Ethics (OETH) before and during the COVID-19 Pandemic in relation to the Sex of Information Technology (IT) Knowledge Workers (KW) in regional, cross-border enterprises in Poland, a transition economy. Two dimensions of MA and three dimensions of OETH - Ethical Optimism (ETO), Corporate Social Responsibility (CSR), and Top Management Action (TMA) - were investigated. The analysis was carried out on data obtained from a random survey among KW representing mainly small and medium-sized enterprises in the cross-border region of Lower Silesia. Our research findings suggest that KW manifest high enough moral codes that do not correlate too strongly with OETH. Pandemic and Sex, in general, affect the relationship between Moral Attitudes and OETH of KW in the transition economy.

A type I interferon response defines a conserved microglial state required for effective neuronal phagocytosis (preprint)

Summary Microglia, the innate immune cells of the brain, are exquisitely sensitive to dynamic changes in the neural environment. Using single cell RNA sequencing of the postnatal somatosensory cortex during topographic remapping, we identified a type I interferon (IFN-I) responsive microglia population that expanded with this developmental stressor. Using the marker gene IFITM3 we found that IFN-I responsive microglia were engulfing whole neurons. Loss of IFN-I signaling ( Ifnar1 -/- ) resulted in dysmorphic ‘bubble’ microglia with enlarged phagolysosomal compartments. We also observed a reduction in dead cells and an accumulation of neurons with double strand DNA breaks, a marker of cell stress. Conversely, IFN-I gain of function in zebrafish was sufficient to drive microglial engulfment of whole neurons. We identified IFITM3+ microglia in two murine disease models: SARS-CoV-2 infection and the 5xFAD model of Alzheimer’s disease. These data reveal a novel role for IFN-I signaling in regulating efficient neuronal clearance by microglia.

Presentation of motor neuron disease in a patient with weight loss and acute-on-chronic respiratory failure.

A previously fit and well 72-year-old man was referred to the acute medical unit with acute shortness of breath and confusion. He had presented 6 months earlier to his General Practitioner with a 6-month history of weight loss and lethargy. Despite CT imaging and extensive blood tests, no cause was found. He was having ongoing outpatient investigations, including a respiratory review leading up to his admission; the deterioration in his condition also coincided with the implementation of the COVID-19 lockdown. On admission, he was found to be in acute-on-chronic type 2 respiratory failure; examination revealed scattered fasciculations. Further inpatient electromyography (EMG) and nerve conduction study (NCS) confirmed motor neuron disease (MND). This case highlighted the importance of considering neuromuscular causes for acute respiratory failure in acute presentations and demonstrated the challenges in the diagnosis of MND in those presenting atypically with non-specific symptoms and the limitations of remote consultations in complex cases.

Risk factors associated with severe outcomes of COVID-19: An updated rapid review to inform national guidance on vaccine prioritization in Canada (preprint)

Background: To inform vaccine prioritization guidance by the National Advisory Committee on Immunization (NACI), we reviewed evidence on the magnitude of association between risk factors and severe outcomes of COVID-19. Methods: We updated our existing review by searching online databases and websites for cohort studies providing multivariate adjusted associations. One author screened studies and extracted data. Two authors estimated the magnitude of association between exposures and outcomes as little-to-no (odds, risk, or hazard ratio <2.0, or >0.50 for reduction), large (2.0-3.9, or 0.50-0.26 for reduction), or very large (>=4.0, or <=0.25 for reduction), and rated the evidence certainty using GRADE. Results: Of 7,819 unique records we included 111 reports. There is probably (moderate certainty) at least a large increase in mortality from COVID-19 among people aged 60-69 vs. <60 years (11 studies, n=517,217), with 2+ vs. no comorbidities (4 studies, n=189,608), and for people with (vs. without): Down syndrome (1 study, n>8 million), type 1 and 2 diabetes (1 study, n>8 million), end-stage kidney disease (1 study, n>8 million), epilepsy (1 study, n>8 million), motor neuron disease, multiple sclerosis, myasthenia gravis, or Huntingtons disease (as a grouping; 1 study, n>8 million). The magnitude of association with mortality is probably very large for Down syndrome and may (low certainty) be very large for age 60-69 years, and diabetes. There is probably little-to-no increase in severe outcomes with several cardiovascular and respiratory conditions, and for adult males vs. females. Interpretation: Future research should focus on risk factors where evidence is low quality (e.g., social factors) or non-existent (e.g., rare conditions), the pediatric population, combinations of comorbidities that may increase risk, and long-term outcomes. Systematic review registration: PROSPERO #CRD42021230185.

Trajectories of compliance with COVID-19 related guidelines: longitudinal analyses of 50,000 UK adults (preprint)

Background: Governments have implemented a range of measure to tackle COVID-19, primarily focusing on changing citizens' behaviours in order to lower transmission of the virus. Some policymakers have expressed concern that citizens would not maintain high levels of compliance with these behaviours over the pandemic and would instead exhibit so-called "behavioural fatigue". While the concept has been criticized, there have been few tests of behavioural fatigue using data from the COVID-19 pandemic, and none that have tracked individuals' compliance trajectories. Methods: We used longitudinal data on self-reported compliance from 50,851 adults in the COVID-19 Social Study collected across two waves of the pandemic in the UK (01 April 2020 - 22 February 2021). We modelled typical compliance trajectories using latent growth curve analysis (LGCA) and tested for behavioural fatigue by attempting to identify a set of participants whose compliance decreased substantially over the study period. Results: We selected a four-class LGCA solution. Most individuals maintained high levels of compliance over the pandemic and reported similar levels of compliance across the first and second waves. Approximately one in seven participants had decreasing levels of compliance across the pandemic, reporting noticeably lower levels of compliance in the second wave, a pattern compatible with behavioural fatigue. Individuals with declining compliance levels differed from those with consistently high compliance on multiple characteristics, including (young) age, better physical health, lower empathy and conscientiousness and greater general willingness to take risks. Conclusion: While a minority, not all individuals have maintained high compliance across the pandemic. Decreasing compliance is related to several psychological traits. The results suggest that targeting of behaviour change messages later in the pandemic may be needed to increase compliance.

Prospective observational cohort study of factors influencing trial participation in people with motor neuron disease (FIT-participation-MND): a protocol.

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.

Curious case of steroid responsive diffuse anterior horn cell disease associated with COVID-19 infection.

Covid-19-associated neurological manifestations are being reported with increased frequency throughout the world. In a study from China, symptoms referable to peripheral nervous system (PNS) were described in approximately 9% of hospitalized Covid-19 patients. Common PNS symptoms reported in the study were loss of taste/smell and muscle pains. With this communication, we expand the spectrum of PNS manifestations of Covid-19 infection by reporting an association of steroid responsive diffuse anterior horn cell disease with Covid-19 infection from a tertiary care centre in India. Neurological manifestations of Covid-19 are diverse, and our case which to best of my knowledge is the first case in literature to report an occurrence of steroid responsive diffuse anterior horn cell disease associated with Covid-19 infection, adds to the ever-increasing spectrum of neurological manifestations associated with this pandemic causing virus. Good response to steroid in our case serves to provide an insight into the possible pathogenesis of this manifestation and also paves the way for future therapeutic decisions related to this association.

When months matter; modelling the impact of the COVID-19 pandemic on the diagnostic pathway of Motor Neurone Disease (MND) (preprint)

Background A diagnosis of MND takes an average 10-16 months from symptom onset. Early diagnosis is important to access supportive measures to maximise quality of life. The COVID-19 pandemic has caused significant delays in NHS pathways; the majority of GP appointments now occur online with subsequent delays in secondary care assessment. Given the rapid progression of MND, patients may be disproportionately affected resulting in late stage new presentations. We used Monte Carlo simulation to model the pre-COVID-19 diagnostic pathway and then introduced plausible COVID-19 delays. Methods The diagnostic pathway was modelled using gamma distributions of time taken: 1) from symptom onset to GP presentation, 2) for specialist referral, and 3) for diagnosis reached after neurology appointment. We incorporated branches to simulate delays: when patients did not attend their GP and when the GP consultation did not result in referral. An emergency presentation was triggered when diagnostic pathway time was within 30 days of projected median survival. Total time-to-diagnosis was calculated over 100,000 iterations. The pre-COVID-19 model was estimated using published data and the Improving MND Care Survey 2019. We estimated COVID-19 delays using published statistics. Results The pre-COVID model reproduced known features of the MND diagnostic pathway, with a median time to diagnosis of 399 days and predicting 5.2% of MND patients present as undiagnosed emergencies. COVID-19 resulted in diagnostic delays from 558 days when only primary care was 25% delayed, to 915 days when both primary and secondary care were 75%. The model predicted an increase in emergency presentations ranging from 15.4%-44.5%. Interpretations The model suggests the COVID-19 pandemic will result in later-stage diagnoses and more emergency presentations of undiagnosed MND. Late-stage presentations may require rapid escalation to multidisciplinary care. Proactive recognition of acute and late-stage disease with altered service provision will optimise care for people with MND. Funding - This research was supported and funded by a grant from the Reta Lila Weston Trust. NS was supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre.