Publication | Open Access
The Luxembourg Parkinson’s Study: A Comprehensive Approach for Stratification and Early Diagnosis
96
Citations
53
References
2018
Year
Neurological DisorderDiagnosisComprehensive ApproachEarly DiagnosisLuxembourg Pd StudyBiostatisticsNeurologyPublic HealthMotor DisorderTranslational BioinformaticsRehabilitationNeurodegenerationImaging GenomicsMovement DisordersPrecision MedicineNeurodegenerative DiseasesLuxembourg ParkinsonParkinson DiseaseNeuroscienceBiomedical Data AnalysisMedicineGenetic AdvancesHealth Informatics
While genetic advances have successfully defined part of the complexity in Parkinson's disease (PD), the clinical characterization of phenotypes remains challenging. Therapeutic trials and cohort studies typically include patients with earlier disease stages and exclude comorbidities, thus ignoring a substantial part of the real-world PD population. To account for these limitations, we implemented the Luxembourg PD study as a comprehensive clinical, molecular and device-based approach including patients with typical PD and atypical parkinsonism, irrespective of their disease stage, age, comorbidities, or linguistic background. To provide a large, longitudinally followed, and deeply phenotyped set of patients and controls for clinical and fundamental research on PD, we implemented an open-source digital platform that can be harmonized with international PD cohort studies. Our interests also reflect Luxembourg-specific areas of PD research, including vision, gait, and cognition. This effort is flanked by comprehensive biosampling efforts assuring high quality and sustained availability of body liquids and tissue biopsies. We provide evidence for the feasibility of such a cohort program with deep phenotyping and high quality biosampling on parkinsonism in an environment with structural specificities and alert the international research community to our willingness to collaborate with other centers. The combination of advanced clinical phenotyping approaches including device-based assessment will create a comprehensive assessment of the disease and its variants, its interaction with comorbidities and its progression. We envision the Luxembourg Parkinson's study as an important research platform for defining early diagnosis and progression markers that translate into stratified treatment approaches.
| Year | Citations | |
|---|---|---|
Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support Paul A. Harris, Robert Taylor, Robert J. Thielke, Journal of Biomedical Informatics EngineeringData ScienceMetadata ManagementManagementWorkflow Process | 2008 | 48.8K |
1992 | 10.3K | |
2008 | 3.1K | |
2004 | 3K | |
2004 | 2.3K | |
2017 | 2.2K | |
2008 | 2.2K | |
1948 | 1.2K | |
2010 | 934 | |
2016 | 620 |
Page 1
Page 1