Dataset Information

Physician-Reported Perspectives on Myasthenia Gravis in the United States: A Real-World Survey.

ABSTRACT:

Introduction

Myasthenia gravis (MG) is a rare, debilitating, chronic disorder caused by the production of pathogenic immunoglobulin G autoantibodies against the neuromuscular junction. A lack of real-world studies in rare diseases reflects a relatively limited understanding of the significant unmet needs and burden of disease for patients. We aimed to provide comprehensive real-world insights into the management and burden of MG from treating physicians in the United States (US).

Methods

Data were collected using the Adelphi Real World MG Disease Specific Programme™, a point-in-time survey of physicians and their patients with MG, in the US between March and July 2020. Physician-reported clinical data, including demographics, comorbidities, symptoms, disease history, treatments, and healthcare resource utilization, were collected.

Results

In total, 456 patient record forms were completed by 78 physicians based in the US. At time of survey completion, patient mean age was 54.5 years. Mean time from symptom onset to diagnosis was 9.0 months (n = 357). Ocular symptoms were reported in 71.7% of patients. General fatigue affected 47.1% of patients and over half of those reported the severity as moderate or severe (59.5%, n = 128). Acetylcholinesterase inhibitors and/or steroids were the most frequently prescribed first-line treatment type among patients receiving treatment at time of survey completion and with moderate-to-severe symptoms (77.9%, n = 159/204). High-dose steroids (n = 14) and intravenous immunoglobulin (n = 13) were the most prescribed acute treatments among those receiving an acute treatment at time of survey completion (n = 36), with symptom exacerbations or myasthenic crises being the most common reasons for acute treatment. On average, 2.5 healthcare professionals were involved in patient management and 5.0 consultations were made per patient over the last 12 months.

Conclusions

Our findings indicated that, despite treatment, there is a proportion of patients with MG in the US who had a significant need for improved disease management.

SUBMITTER: Mahic M

PROVIDER: S-EPMC9298707 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Physician-Reported Perspectives on Myasthenia Gravis in the United States: A Real-World Survey.

Mahic Milada M Bozorg Ali M AM DeCourcy Jonathan J JJ Golden Keisha J KJ Gibson Gregor A GA Taylor Christian F CF Ting Angela A Story Tyler J TJ Scowcroft Anna A

Neurology and therapy 20220720 4

<h4>Introduction</h4>Myasthenia gravis (MG) is a rare, debilitating, chronic disorder caused by the production of pathogenic immunoglobulin G autoantibodies against the neuromuscular junction. A lack of real-world studies in rare diseases reflects a relatively limited understanding of the significant unmet needs and burden of disease for patients. We aimed to provide comprehensive real-world insights into the management and burden of MG from treating physicians in the United States (US).<h4>Meth ...[more]

PMID: 35859033

Similar Datasets

Project description:IntroductionWe conducted a 3-month, prospective study in a population of patients with Myasthenia Gravis (MG), utilizing a fully decentralized approach for recruitment and monitoring (ClinicalTrials.gov Identifier: NCT04590716). The study objectives were to assess the feasibility of collecting real-world data through a smartphone-based research platform, in order to characterize symptom involvement during MG exacerbations.MethodsPrimary data collection included daily electronically recorded patient-reported outcomes (ePROs) on the presence of MG symptoms, the level of symptom severity (using the MG-Activities of Daily Living assessment, MG-ADL), and exacerbation status. Participants were also given the option to contribute data on their physical activity levels from their own wearable devices.ResultsThe study enrolled and onboarded 113 participants across 37 US states, and 73% (N= 82) completed the study. The mean age of participants was 53.6 years, 60% were female. Participants were representative of a moderate to severe MG phenotype, with frequent exacerbations, high symptom burden and multiple comorbidities. 55% of participants (N=45) reported MG exacerbations during the study, with an average of 6.3 exacerbation days per participant. Median average MG-ADL scores for participants during self-reported exacerbation and non-exacerbation periods were 7 (interquartile range 4-9, range 1-19) and 0.3 (interquartile range 0-0.8, range 0-9), respectively. Analyses examining relationships between patient-reported and patient-generated health data streams and exacerbation status demonstrated concordance between self-reported MG-ADL scores and exacerbation status, and identified features that may be used to understand and predict the onset of MG symptom exacerbations, including: 1.) dynamic changes in day-to-day symptom reporting and severity 2.) daily step counts as a measure of physical activity and 3.) clinical characteristics of the patient, including the amount of time since their initial diagnosis and their active medications related to MG treatment. Finally, application of unsupervised machine learning methods identified unique clusters of exacerbation subtypes, each with their own specific representation of symptoms and symptom severity.ConclusionWhile these symptom signatures require further study and validation, our results suggest that digital phenotyping, characterized by increased multidimensionality and frequency of the data collection, holds promise for furthering our understanding of clinically significant exacerbations and reimagining the approach to treating MG as a heterogeneous condition.

Project description:IntroductionMyasthenia gravis (MG) is a rare, chronic, autoimmune disease, mediated by immunoglobulin G antibodies, which causes debilitating muscle weakness. As with most rare diseases, there is little patient-reported data with which to understand and address patient needs. This study explores the impact of MG in the real world from the patient perspective.Methods and analysisThis is a 2-year prospective, observational, digital, longitudinal study of adults with MG, resident in the following countries: the USA, Japan, Germany, France, the UK, Italy, Spain, Canada and Belgium. The planned sample size is 2000. Recruitment will be community based, via patient advocacy groups, social media and word of mouth. Participants will use a smartphone application (app) to check eligibility, provide consent and contribute data. Planned data entry is as follows: (1) personal profile on enrollment-covering demographics, MG characteristics and previous care; (2) monthly event tracker-current treatments, healthcare visits, treatment-related adverse events, productivity losses; (3) monthly selection of validated generic and disease-specific patient-reported outcomes instruments: EQ-5D-5L, Myasthenia Gravis Activities of Daily Living, Myasthenia Gravis Quality of Life 15-item revised scale, Hospital Anxiety and Depression Scale and Health Utilities Index III. Analyses are planned for when the study has been running in most countries for approximately 6, 12, 18 and 24 months.Ethics and disseminationThe study protocol has been reviewed and granted ethics approval by Salus IRB for participants resident in the following countries: Germany, the UK and the US. Local ethics approval is being sought for the following study countries: Belgium, Canada, France, Italy, Japan and Spain. Study results will be communicated to the public and participants via conference presentations and journal publications, as well as regular email, social media and in-application communication.Trial registration numberNCT04176211.

Project description:Myasthenia gravis (MG) is an autoimmune disease affecting the neuromuscular junction, whose clinical hallmark is muscle weakness and early fatigability. Azathioprine (AZA) is commonly used in Myasthenia Gravis therapy. AZA is a purine antagonist, which inhibits the cell cycle in the resting and DNA synthesis phases. It is usually used as an immunosuppressant to block T- and B-cell proliferation. AZA, bioconverted to 6-mercaptopurine by glutathione S-transferase (GST), can be metabolized either through the hypoxanthine phosphoribosyl transferase pathway to active 6-thioguanine nucleotides (6-TGN) or through the thiopurine S-methyltransferase (TPMT) pathway to inactive methyl-thiopurine metabolites. The incorporation of active 6-TGNs into DNA, causing breaks in DNA strands resulting in interference with RNA production and thereby protein synthesis, is responsible for the drug effect. The response to AZA is determined by which metabolic pathway is being favored. While balanced use of both HPRT and TPMT pathways results in responsiveness to AZA, hyperactivity of TPMT skews the balance towards the TPMT pathway and results in unresponsiveness to AZA with no pharmacological effect. In contrast, low TPMT activity skews the balance towards the HPRT pathway, resulting in increasing side-effects due to the accumulation of 6-TGNs. Current treatments for MG therapy are often inadequate because less than 40% of patients achieve complete remission with available drugs. This reflects the lack of drugs acting on target sites for which there is strong evidence of pathogenicity and the inability to identify responder patients. No criteria for responsiveness are available, exposing patients to unpredictable failures and unpredictable side effects. These individuals are at particular risk for adverse drug reaction (ADRs) or therapeutic failure. Genetic profiling with the Affymetrix drug metabolizing enzymes and transports genotyping array offers the ability to determine 1,931 variants and 225 genes involved in drug metabolism and disposition. Accordingly, the study of well-known drug-metabolizing genes can be involved in the specific metabolic pathway of a drug, which is more likely to define genotype-phenotype association and thereby genotype profiles relevant to drug response that can be applied as predictive biomarkers for pharmacological treatment.

Dataset Information

Physician-Reported Perspectives on Myasthenia Gravis in the United States: A Real-World Survey.

Introduction

Methods

Results

Conclusions

Publications

Physician-Reported Perspectives on Myasthenia Gravis in the United States: A Real-World Survey.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets