MOVR-NeuroMuscular ObserVational Research, a unified data hub for neuromuscular diseases

Systemic under treatment of heart disease in patients with Duchenne muscular dystrophy

Duchenne muscular dystrophy is a devastating muscle disease characterized by muscle deterioration and cardiomyopathy. The cardiomyopathy is progressive in nature, marked by the accumulation of myocardial scarring and the loss of contractile function. The presence of cardiac disfunction is nearly universal in individuals with Duchenne muscular dystrophy with dysfunction being evident in patients < 10 years of age. In recognition of importance of prophylactic treatment, clinical guidelines recommend beginning treatment of the heart disease in Duchenne muscular dystrophy patients at 10 years of age, even in the absence of cardiac dysfunction. This manuscript evaluates the current practices of treatment of dystrophic cardiomyopathy. We make use of clinical data compiled by the Muscular Dystrophy Association to assess changes in medical management of cardiac disease in Duchenne muscular dystrophy patients in response to changes in guidelines. We find since the issuance of new guidelines Duchenne muscular dystrophy patients receiving cardiac-directed therapy are beginning it at significantly younger ages. However, we show that 64 % of individuals with Duchenne muscular dystrophy are not receiving the recommended cardiac therapies. The underlying causes of this gap in guideline adherence are complex but correcting this deficiency represent a significant opportunity to improve the clinical management of dystrophic cardiomyopathy.

Digital health solution for monitoring and surveillance of Amyotrophic Lateral Sclerosis in Brazil

Amyotrophic Lateral Sclerosis (ALS) is a complex and rare neurodegenerative disease given its heterogeneity. Despite being known for many years, few countries have accurate information about the characteristics of people diagnosed with ALS, such as data regarding diagnosis and clinical features of the disease. In Brazil, the lack of information about ALS limits data for the research progress and public policy development that benefits people affected by this health condition. In this context, this article aims to show a digital health solution development and application for research, intervention, and strengthening of the response to ALS in the Brazilian Health System. The proposed solution is composed of two platforms: the Brazilian National ALS Registry, responsible for the data collection in a structured way from ALS patients all over Brazil; and the Brazilian National ALS Observatory, responsible for processing the data collected in the National Registry and for providing a monitoring room with indicators on people diagnosed with ALS in Brazil. The development of this solution was supported by the Brazilian Ministry of Health (MoH) and was carried out by a multidisciplinary team with expertise in ALS. This solution represents a tool with great potential for strengthening public policies and stands out for being the only public database on the disease, besides containing innovations that allow data collection by health professionals and/or patients. By using both platforms, it is believed that it will be possible to understand the demographic and epidemiological data of ALS in Brazil, since the data will be able to be analyzed by care teams and also by public health managers, both in the individual and collective monitoring of people living with ALS in Brazil.

The Muscular Dystrophy Association's neuroMuscular ObserVational Research Data Hub (MOVR): Design, Methods, and Initial Observations

BACKGROUND

Neuromuscular disease (NMD) research is experiencing tremendous growth as a result of progress in diagnostics and therapeutics yet there continues to be a significant clinical data shortage for these rare diseases. To maximize the development and impact of new therapies, the Muscular Dystrophy Association (MDA) created the neuroMuscular ObserVational Research Data Hub (MOVR) as an observational research study that collects disease-specific measures from individuals living with NMDs in the United States.

OBJECTIVE

This manuscript provides a description of MOVR, participants enrolled in MOVR, and longitudinal data availability.

METHODS

MOVR collects longitudinal data from individuals diagnosed with ALS, BMD, DMD, FSHD, LGMD, Pompe disease, or SMA, and who are seen for care at a participating MDA Care Center. Data are entered from medical records into standardized electronic case report forms (eCRFs). These eCRFs capture participants' demographics, diagnostic journeys, clinical visits, and discontinuation from the study.

RESULTS

From January 2019 to May 2022, MOVR collected data from 50 participating care centers and 1,957 participants. Data from 1,923 participants who participated in MDA's pilot registry were migrated into MOVR, creating a total of 3,880 participants in MOVR. Initial analysis of aggregated data demonstrated that 91% of eCRFs were complete. Forty-three percent of participants had 3 or more encounters and 50% of all encounters were 5 months or less from the previous encounter.

DISCUSSION

As a centralized data hub for multiple NMDs, MOVR serves as a platform that can be used to inform disease understanding, guide clinical trial design, and accelerate drug development for NMDs.

Patients’ access to rare neuromuscular disease therapies varies across US private insurers

Background

The extent to which different US private insurers require their enrollees to meet the same coverage criteria before gaining access to treatment is unclear. Our objective was to scrutinize the patient access criteria imposed by US private insurers for a set of rare neuromuscular disease (NMD) disease-modifying therapies (DMTs).

Methods

We examined coverage policies issued by 17 large US private insurers for the following NMD treatments: nusinersen and onasemnogene abeparvovec for spinal muscular atrophy, edaravone for amyotrophic lateral sclerosis, and eteplirsen for Duchenne muscular dystrophy. We reviewed the plans’ coverage policies and identified the patient access criteria, including clinical prerequisites, step therapy protocols, and prescriber requirements. We compared the plans’ patient access criteria with the therapies’ US Food and Drug Administration (FDA)-labeled indications.

Results

The included insurers issued 65 coverage policies for the included therapies. Plans imposed coverage restrictions beyond the FDA-approved indications in 60 coverage policies; plans did not cover eteplirsen in five policies. No therapy was covered the same way by all insurers. Plans applied clinical criteria beyond the FDA label indication in 56 policies and step therapy protocols in three policies. Plans required that a neurologist prescribe the therapy in 37 policies, 22 of which required the neurologist to have expertise in the particular disease. Plans often required patients to suffer from symptoms of particular severity; e.g. for eteplirsen, plans differed in their 6-min walk test requirements; for edaravone, some plans required that patients had normal respiratory function, while others required only that patients did not require ventilation; for nusinersen and onasemnogene abeparvovec, plans differed in the number of SMN2 gene copies they required patients to have (SMN2 copy number is correlated with disease severity).

Conclusions

The evaluated large US private insurers tended to impose coverage restrictions beyond the FDA label indication for the included set of rare NMD DMTs. Plans rarely applied the same patient access criteria in their coverage policies for the same products. Inconsistent coverage criteria mean that patients with different insurers have variable access to the same therapies across insurers.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13023-022-02182-3.

Harnessing the power of the electronic health record for ALS research and quality improvement: CReATe CAPTURE-ALS and the ALS Toolkit

The electronic health record (EHR) is designed principally to support the provision and documentation of clinical care, as well as billing and insurance claims. Broad implementation of the EHR, however, also yields an opportunity to use EHR data for other purposes, including research and quality improvement. Indeed, effective use of clinical data for research purposes has been a long-standing goal of physicians who provide care for patients with ALS, but the quality and completeness of clinical data, as well as the burden of double data entry into the EHR and into a research database, have been persistent barriers. These factors provided motivation for the development of the ALS Toolkit, a set of interactive digital forms within the EHR that enable easy, consistent, and structured capture of information relevant to ALS patient care (as well as research and quality improvement) during clinical encounters. Routine use of the ALS Toolkit within the context of the CReATe Consortium's institutional review board-approved Clinical Procedures to Support Research in ALS (CAPTURE-ALS) study protocol, permits aggregation of structured ALS patient data, with the goals of empowering research and driving quality improvement. Widespread use of the ALS Toolkit through the CAPTURE-ALS protocol will help to ensure that ALS clinics become a driving force for collecting and aggregating clinical data in a way that reflects the true diversity of the populations affected by this disease, rather than the restricted subset of patients that currently participate in dedicated research studies.

National registry for amyotrophic lateral sclerosis: a systematic review for structuring population registries of motor neuron diseases

BACKGROUND

This article comprises a systematic review of the literature that aims at researching and analyzing the frequently applied guidelines for structuring national databases of epidemiological surveillance for motor neuron diseases, especially Amyotrophic Lateral Sclerosis (ALS).

METHODS

We searched for articles published from January 2015 to September 2019 on online databases as PubMed - U.S. National Institutes of Health's National Library of Medicine, Scopus, Science Direct, and Springer. Subsequently, we analyzed studies that considered risk factors, demographic data, and other strategic data for directing techno-scientific research, calibrating public health policies, and supporting decision-making by managers through a systemic panorama of ALS.

RESULTS

2850 studies were identified. 2400 were discarded for not satisfying the inclusion criteria, and 435 being duplicated or published in books or conferences. Hence, 15 articles were elected. By applying quality criteria, we then selected six studies to compose this review. Such researches featured registries from the American (3), European (2), and Oceania (1) continent. All the studies specified the methods for data capture and the patients' recruitment process for the registers.

DISCUSSIONS

From the analysis of the selected papers and reported models, it is noticeable that most studies focused on the prospect of obtaining data to characterize research on epidemiological studies. Demographic data (ID01) are present in all the registries, representing the main collected data category. Furthermore, the general health history (ID02) is present in 50% of the registries analyzed. Characteristics such as access control, confidentiality and data curation. We observed that 50% of the registries comprise a patient-focused web-based self-report system.

CONCLUSION

The development of robust, interoperable, and secure electronic registries that generate value for research and patients presents itself as a solution and a challenge. This systematic review demonstrated the success of a population register requires actions with well-defined development methods, as well as the involvement of various actors of civil society.