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Published on: November 22, 2019
Real-world evidence in achondroplasia: considerations for a standardized data set
Yasemin Alanay1, Klaus Mohnike2, Ola Nilsson3,4,5
1Pediatric Genetics, Department of Pediatrics, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Kayisdagi Cad. No:32, Atasehir, 34684, Istanbul, Turkey. yasemin.alanay@acibadem.edu.tr.
Establishing a standardized international registry for achondroplasia (a rare genetic disorder) is crucial for collecting high-quality real-world evidence (RWE) to improve patient care and understanding of the condition.
Area of Science:
- Medical research
- Rare disease studies
- Data science in healthcare
Background:
- Real-world evidence (RWE) collection is vital for understanding achondroplasia.
- A prospective, international data resource is needed for long-term, high-quality data capture.
- Such a resource would enhance knowledge of achondroplasia's natural history, quality of life, and outcomes.
Purpose of the Study:
- To identify essential data elements for a standardized prospective registry for achondroplasia.
- To facilitate the study of achondroplasia's natural history and related outcomes.
- To improve clinical decision-making and management strategies for achondroplasia patients.
Main Methods:
- A multidisciplinary committee (Europe, Middle East, and Africa Achondroplasia Steering Committee) was formed.
- The committee comprised 17 clinical experts and 3 patient advocacy representatives.
- An exercise was conducted to identify essential data elements for a prospective registry.
Main Results:
- Current RWE collection for achondroplasia varies in data elements, methods, and frequency across centers.
- Key areas for data collection include auxological measures, sleep studies, quality of life, and neurological manifestations.
- Essential data for a registry were categorized into demographics, diagnosis/measurements, medical issues, investigations/surgery, medications, and treatment outcomes.
Conclusions:
- Long-term, high-quality data are essential for managing rare and complex conditions like achondroplasia.
- Prospective registries collecting predefined data elements will yield valuable longitudinal information.
- A feasible minimum dataset can be established, allowing for country-specific criteria and pooled data analysis for therapeutic approaches.
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