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German Porphyria Registry (PoReGer)-Background and Setup
Lea Gerischer1,2, Mona Mainert3, Nils Wohmann4
1Department of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, Germany.
The German Porphyria Registry (PoReGer) collects crucial data to improve understanding and care for rare porphyria diseases. This registry enhances patient management, supports education, and aids in early porphyria detection.
Area of Science:
- Rare Diseases
- Clinical Data Management
- Patient Registries
Background:
- Porphyrias are rare diseases with complex challenges and limited knowledge.
- A prospective national registry is essential for collecting longitudinal clinical and laboratory data.
- The German Porphyria Registry (PoReGer) addresses this gap by consolidating expertise from leading centers and patient organizations.
Purpose of the Study:
- To establish a comprehensive national registry for porphyria patients in Germany.
- To collect detailed clinical, laboratory, and patient-reported data for various porphyria subgroups.
- To deepen the understanding of porphyrias and improve patient management and care.
Main Methods:
- The German Porphyria Registry (PoReGer) was founded by four expert centers and a reference laboratory.
- A detailed data matrix was developed for acute, chronic blistering cutaneous, and acute non-blistering cutaneous porphyrias.
- Data collected include demographics, symptoms, clinical course, medical history, follow-up assessments, therapies, side-effects, and patient-reported outcomes (quality of life, depression, fatigue).
Main Results:
- The registry prospectively collects longitudinal data on porphyria patients.
- Comprehensive data on disease manifestations, treatments, and patient-reported outcomes are being gathered.
- The registry is supported by key stakeholders in the German porphyria community.
Conclusions:
- The PoReGer registry is a vital tool for advancing knowledge and improving care for porphyria patients.
- Collected data will enhance patient management, facilitate educational initiatives, and inform healthcare planning.
- The registry data holds potential for machine learning applications in early porphyria detection.
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