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Published in: Orphanet Journal of Rare Diseases 1/2019

Open Access 01-12-2019 | Spinal Muscular Atrophy | Research

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

Authors: Kirsten König, Astrid Pechmann, Simone Thiele, Maggie C. Walter, David Schorling, Adrian Tassoni, Hanns Lochmüller, Clemens Müller-Reible, Janbernd Kirschner

Published in: Orphanet Journal of Rare Diseases | Issue 1/2019

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Abstract

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.
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Literature
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go back to reference Ebner H, Hayn D, Falgenhauer M, Nitzlnader M, Schleiermacher G, Haupt R, et al. Piloting the European unified patient identity management (EUPID) concept to facilitate secondary use of neuroblastoma data from Clinical Trials and Biobanking. Stud Health Technol Inform. 2016;223:31–8.PubMed Ebner H, Hayn D, Falgenhauer M, Nitzlnader M, Schleiermacher G, Haupt R, et al. Piloting the European unified patient identity management (EUPID) concept to facilitate secondary use of neuroblastoma data from Clinical Trials and Biobanking. Stud Health Technol Inform. 2016;223:31–8.PubMed
Metadata
Title
De-duplicating patient records from three independent data sources reveals the incidence of rare neuromuscular disorders in Germany
Authors
Kirsten König
Astrid Pechmann
Simone Thiele
Maggie C. Walter
David Schorling
Adrian Tassoni
Hanns Lochmüller
Clemens Müller-Reible
Janbernd Kirschner
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Orphanet Journal of Rare Diseases / Issue 1/2019
Electronic ISSN: 1750-1172
DOI
https://doi.org/10.1186/s13023-019-1125-2

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