De-duplicating patient records from three independent data sources reveals the incidence of rare neuromuscular disorders in Germany.

BACKGROUND: Estimation of incidence in rare diseases is often challenging due to unspecific and incomplete coding and recording systems. Patient- and health care provider-driven data collections are held with different organizations behind firewalls to protect the privacy of patients. They tend to be fragmented, incomplete and their aggregation leads to further inaccuracies, as the duplicated records cannot easily be identified. We here report about a novel approach to evaluate the incidences of Duchenne muscular dystrophy (DMD) and spinal muscular atrophy (SMA) in Germany. METHODS: We performed a retrospective epidemiological study collecting data from patients with dystrophinopathies (DMD and Becker muscular dystrophy) and SMA born between 1995 and 2018. We invited all neuromuscular centers, genetic institutes and the patient registries for DMD and SMA in Germany to participate in the data collection. A novel web-based application for data entry was developed converting patient identifying information into a hash code. Duplicate entries were reliably allocated to the distinct patient. RESULTS: We collected 5409 data entries in our web-based database representing 1955 distinct patients with dystrophinopathies and 1287 patients with SMA. 55.0% of distinct patients were found in one of the 3 data sources only, while 32.0% were found in 2, and 13.0% in all 3 data sources. The highest number of SMA patients was reported by genetic testing laboratories, while for DMD the highest number was reported by the clinical specialist centers. After the removal of duplicate records, the highest yearly incidence for DMD was calculated as 2.57:10,000 in 2001 and the highest incidence for SMA as 1.36:10,000 in 2014. CONCLUSION: With our novel approach (compliant with data protection regulations), we were able to identify unique patient records and estimate the incidence of DMD and SMA in Germany combining and de-duplicating data from patient registries, genetic institutes, and clinical care centers. Although we combined three different data sources, an unknown number of patients might not have been reported by any of these sources. Therefore, our results reflect the minimal incidence of these diseases.

SMArtCARE - A platform to collect real-life outcome data of patients with spinal muscular atrophy.

BACKGROUND: Survival and quality of life for patients affected by spinal muscular atrophy (SMA) are thought to have improved over the last decade due to changes in care. In addition, targeted treatments for SMA have been developed based on a better understanding of the molecular pathology. In 2016 and 2017, nusinersen was the first drug to be approved for treatment of all types of SMA in the United States and in Europe based on well-controlled clinical trials in a small subgroup of pediatric SMA patients. Systems are required to monitor treated and untreated SMA patients in a real-life environment to optimize treatment and care, and to provide outcome data to regulators, payers, and the SMA community. METHODS: Within SMArtCARE, we conduct a prospective, multicenter non-randomized registration and outcome study. SMArtCARE collects longitudinal data on all available SMA patients independent of their actual treatment regime as disease-specific SMA registry. For this purpose, we provide an online platform for SMA patients seen by health-care providers in Germany, Austria and Switzerland. All data are collected during routine patient visits. Items for data collection are aligned with the international consensus for SMA registries. Data analysis is carried out independent of commercial partners. CONCLUSION: A prospective monitoring of all SMA patients will lead to a better understanding of the natural history of SMA and the influence of drug treatment. This is crucial to improve the care of SMA patients. Further, we will establish a network for neuromuscular centers to share experience with SMA patients and to promote research projects on SMA. TRIAL REGISTRATION: German Clinical Trials Register ("Deutsches Register klinischer Studien") DRKS00012699. Registered 09 August 2018. https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00012699 .

A multi-source approach to determine SMA incidence and research ready population.

In spinal muscular atrophy (SMA), degeneration of motor neurons causes progressive muscular weakness, which is caused by homozygous deletion of the SMN1 gene. Available epidemiological data on SMA are scarce, often outdated, and limited to relatively small regions or populations. Combining data from different sources including genetic laboratories and patient registries may provide better insight of the disease epidemiology. To investigate the incidence of genetically confirmed SMA, and the number of patients who are able and approachable to participate in new clinical trials and observational research, we used both genetic laboratories, the TREAT-NMD Global SMA Patient Registry and the Care and Trial Sites Registry (CTSR). In Europe, 4653 patients were genetically diagnosed by the genetic laboratories in the 5-year period 2011 to 2015, with 992 diagnosed in 2015 alone. The data provide an estimated incidence of SMA in Europe of 1 in 3900-16,000 live births. Patient numbers in the national patient registries and CTSR were considerably lower. By far, most patients registered in the national patient registries and the CTSR live in Europe and are reported to have SMA type II. Considerable differences between countries in patient participation in the registries were observed. Our findings indicate that not all patients with SMA are accessed by specialist healthcare services and these patients may not have access to research opportunities and optimal care.

The TREAT-NMD care and trial site registry: an online registry to facilitate clinical research for neuromuscular diseases.

BACKGROUND: Rare diseases pose many research challenges specific to their scarcity. Advances in potential therapies have made it more important than ever to be able to adequately identify not only patients with particular genotypes (via patient registries) but also the medical professionals who provide care for them at particular specialist centres of expertise and who may be competent to participate in trials. Work within the neuromuscular field provides an example of how this may be achieved. METHODS: This paper describes the development of the TREAT-NMD Care and Trial Site Registry (CTSR), an initiative of an EU-funded Network of Excellence, and its utility in providing an infrastructure for clinical trial feasibility, recruitment, and other studies. RESULTS: 285 CTSR-registered centres, reporting 35,495 neuromuscular patients, are described alongside an analysis of their provision for DMD. Site characteristics vary by country: the average number of DMD patients seen per site in the United States (96) is more than in Germany (25), and paediatric/adult breakdown is also markedly distinct. Over 70% of sites have previous trial experience, with a majority including a Clinical Trials Unit. Most sites also have MLPA diagnostic capability and access to a range of medical specialists. However, in the three countries reporting most sites (US, the UK and Germany), few had access to all core DMD specialists internally. Over 60% of sites did not report any form of transition arrangement. CONCLUSIONS: Registries of care and trial sites have significant utility for research into rare conditions such as neuromuscular diseases, demonstrated by the significant engagement by industry and other researchers with the CTSR. We suggest that this approach may be applicable to other fields needing to identify centres of expertise with the potential to carry out clinical research and engage in clinical trials. Such registries also lend themselves to the developing context of European Reference Networks (ERNs), which seek to build networks of centres of expertise which fit specific criteria, and which may themselves aid the sustainability of such registries. This is particularly the case given the utility of registries such as the CTSR in enabling networks of best-practice care centres.