ABSTRACT
INTRODUCTION/AIMS: Due to muscular weakness and cardiopulmonary dysfunction, patients with muscular dystrophy (MD) have an increased risk of serious complications from coronavirus disease-2019 (COVID-19). Although vaccination is recommended, COVID-19 vaccination safety and immunogenicity in these patients are unknown. We investigated reaction frequency, post-vaccine antibody titers after two mRNA COVID-19 vaccine doses, and clinical predictors of antibody response among patients with MD. METHODS: We recruited 171 inpatients with MD receiving two BNT162b2 mRNA COVID-19 vaccine doses from seven hospitals. Blood samples were obtained from 53 inpatients before the first dose and 28 to 30 days after the second dose, and antibody titers were measured. RESULTS: Overall, 104 (60.8%) and 115 (67.6%) patients had side effects after the first and second doses, respectively. These were generally mild and self-limited. Multiple logistic regression analysis showed that a bedridden state was associated with reduced side effects (odds ratio [OR] = 0.29; 95% confidence interval [CI], 0.12 to 0.71). The antibody titers of all participants changed from negative to positive after two vaccine doses. The geometric mean titer (GMT) of the inpatients was 239 (95% CI, 159.3 to 358.7). Older age (relative risk [RR] = 0.97; 95% CI, 0.95 to 0.99) and bedridden state (RR = 0.27; 95% CI, 0.14 to 0.51) were associated with a lower antibody titer. Patients with myotonic dystrophy type 1 (DM1) had a lower GMT than patients with other MDs (RR = 0.42; 95% CI, 0.21 to 0.85). DISCUSSION: COVID-19 vaccination is safe and immunogenic in inpatients with MD. Patients with DM1 appear to have a poorer COVID-19 antibody response than those with other MDs.
Subject(s)
COVID-19 Vaccines , COVID-19 , Muscular Dystrophies , Myotonic Dystrophy , Humans , BNT162 Vaccine , COVID-19/prevention & control , COVID-19 Vaccines/adverse effects , Inpatients , RNA, MessengerABSTRACT
During the COVID-19 pandemic, individuals with symptoms other than cough or fever have refrained from seeking medical advice. However, a delay in treatment might lead to serious consequences. At the same time, digital health initiatives have emerged to overcome this bottleneck of healthcare. Herein, we report the results of a multi-center initiative using a combination of patient history and artificial intelligence (AI) to identify individuals with rare neuromuscular diseases. First, a questionnaire with 46 items was developed by interviewing patients with muscular dystrophies, amyotrophic lateral sclerosis, Morbus Pompe, neuropathies, and myasthenia gravis. Second, patients with proven neurological diseases answered the questionnaire. Third, a combination of classifiers (artificial neural network, support vector, and random forest) was trained and, finally, the system was challenged with new questionnaires. Users with an abnormal questionnaire pattern received a unique code for data privacy and contact details for a neurologist for further advice. The neurologists confirmed or refuted the AI-based diagnosis. The questionnaire was accessed 3122 times, leading to 853 unique codes. Only for a few patients the computer-based diagnoses and the confirmed final diagnoses were reported to us. However, for these few patients, the genetic testing and high CK levels finally ended their long-lasting diagnostic odyssey.
Subject(s)
Fever , Diabetic Neuropathies , COVID-19 , Amyotrophic Lateral Sclerosis , Heredodegenerative Disorders, Nervous System , Neuromuscular Diseases , Myasthenia Gravis , Muscular DystrophiesSubject(s)
Clinical Trials as Topic , Medicine , Amyloidosis/therapy , Clustered Regularly Interspaced Short Palindromic Repeats , Exons , Humans , Huntington Disease/drug therapy , Influenza Vaccines/administration & dosage , Influenza Vaccines/immunology , Leishmaniasis, Visceral/therapy , Muscular Dystrophies/genetics , Neurodegenerative Diseases/drug therapy , Oligonucleotides, Antisense/therapeutic use , Receptors, sigma/drug effectsABSTRACT
Purpose: The objective of the present study was to provide a detailed histopathological description of fatal coronavirus disease 2019 (COVID 19), and compare the lesions in Intensive Care Unit (ICU) and non-ICU patients.Methods: In this prospective study we included adult patients who died in hospital after presenting with probable or confirmed COVID-19. Multiorgan biopsies were performed. Data generated with light microscopy, transmission electron microscopy (TEM) and RT-PCR assays were reviewed.Results20 patients were enrolled in the study and the main pulmonary finding was alveolar damage, which was focal in 11 patients and diffuse in 8 patients. Chronic fibrotic and inflammatory lesions were observed in 18 cases, with acute inflammatory lesions in 12 cases. Diffuse lesions, collapsed alveoli and dystrophic pneumocytes were more frequent in the ICU group (62.5%, vs. 25%; 63%, vs. 55%; 87.5%, vs. 54%). Acute lesions (82%, vs. 37.5%; p=0.07) with neutrophilic alveolitis (63.6% vs. 0%, respectively; p=0.01) were observed more frequently in the non-ICU group. Viral RNA was detected in 12 lung biopsies (60%) up to 56 days after disease upset. TEM detected viral particles in the lung and kidney biopsy samples up to 27 days after disease upset. Furthermore, abundant networks of double-membrane vesicles (DMVs, a hallmark of viral replication) were observed in proximal tubular epithelial cells.Conclusion: Lung injury was different in ICU and non-ICU patients. Extrapulmonary damage was also involved. Our TEM experiments provided the first description of SARS-CoV-2-induced DMVs in kidney biopsy samples – a sign of intense viral replication in this organ.Funding Information: This research did not receive any specific funding from agencies or organizations in the public, commercial, or not-for-profit sectors.Declaration of Interests: The authors report no disclosures of relevance to the manuscript.Ethics Approval Statement: The study was approved by the French Ministry of Health. Informed consent was obtained from all patient families.
Subject(s)
Pulmonary Fibrosis , COVID-19 , Lung Injury , Encephalitis , Muscular DystrophiesABSTRACT
INTRODUCTION/AIMS: In this study, we examined the social and health impacts of the coronavirus disease 2019 (COVID-19) pandemic and social guidelines on people with muscular dystrophies. METHODS: A prospective de-identified electronic survey was distributed to adults with self-reported facioscapulohumeral muscular dystrophy (FSHD), myotonic dystrophy (DM), and limb-girdle muscular dystrophy (LGMD) enrolled in national registries or with patient advocacy groups. The COVID-19 Impact Survey was developed by muscular dystrophy experts in association with patient collaborators and advocacy groups. The Perceived Stress Scale was used to measure perceived stress. RESULTS: Respondents (n = 774: 56% FSHD; 35% DM, and 9% LGMD) were mostly women and middle-aged (range 19-87 y). Rates of COVID-19 infections were low (<1%), compliance with local social distancing guidelines and policies high (98%). Major challenges reported during the pandemic included: obtaining treatment (40%), managing stress (37%), social distancing (36%), and obtaining essentials (34%). The majority reported a slight worsening in their disease state. Respondents reported moderate stress levels (stress score = 15.4; range = 0-35), with higher stress levels reported by women and those under age 30 y. Three-quarters of participants who participated in telemedicine visits were satisfied with the encounters; however, most reported a preference for in-person visits. DISCUSSION: People with muscular dystrophy reported moderate stress and challenges during the COVID-19 pandemic. Interventions such as exercise and stress-coping strategies, including strategies specific to women or individuals <30 y, may be important. Further investigation is needed into the role of telemedicine in the care of individuals with muscular dystrophy.