Unique ID issued by UMIN | UMIN000056715 |
---|---|
Receipt number | R000064829 |
Scientific Title | Follow-up Study Using the Rare Disease Platform Registry for Inherited Metabolic Diseases: RADDAR-J [30] |
Date of disclosure of the study information | 2025/04/01 |
Last modified on | 2025/01/14 19:35:03 |
Follow-up Study Using the Rare Disease Platform Registry for Inherited Metabolic Diseases: RADDAR-J [30]
Follow-up Study Using the Rare Disease Platform Registry for Inherited Metabolic Diseases: RADDAR-J [30]
Follow-up Study Using the Rare Disease Platform Registry for Inherited Metabolic Diseases: RADDAR-J [30]
Follow-up Study Using the Rare Disease Platform Registry for Inherited Metabolic Diseases: RADDAR-J [30]
Japan |
inherited metabolic diseases
Pediatrics |
Others
YES
The objective is to accumulate clinical information on patients with inherited metabolic diseases (IMDs) and to conduct continuous and long-term evaluations of relevant parameters. This approach aims to elucidate the natural history and prognostic factors of IMDs, ultimately contributing to the development and establishment of new therapeutic strategies for these conditions. Although not a genetic analysis study, the project seeks to gather as much mutation data as possible on the responsible genes identified either through diagnostic or research efforts. By consolidating information on the relationship between clinical phenotypes and genotypes of various IMDs in Japan, the study also aims to revise clinical guidelines not only at the disease level but also based on specific genotypes.
Others
The targeted inherited metabolic diseases have small patient populations, with patients dispersed across various medical institutions. This lack of centralized information on these diseases has hindered progress in understanding their pathophysiology and advancing treatment research. In this study, a registry for the target disease group will be established using the standard registry system of the Rare Disease Platform. This approach enables the aggregation of information on dispersed patients, allowing for comprehensive analyses from multiple perspectives based on the extensive clinical data collected. These results will facilitate the elucidation of the natural history of the target diseases. Furthermore, by identifying and monitoring genetic mutations, differences in the clinical course of the diseases based on genotypes can also be clarified.
The following will be evaluated every 1-2 years:
1) Development (developmental index or intelligence quotient)
2) Growth (height, weight)
3) Presence of metabolic events (such as episodes of acidosis or hyperammonemia)
Observational
Not applicable |
Not applicable |
Male and Female
1) Patients diagnosed with an inherited metabolic disease that meets the diagnostic criteria for either Pediatric Chronic Specific Diseases or Designated Intractable Diseases.
2) Patients who have provided written consent to participate in the study.
Patients deemed unsuitable for inclusion based on the judgment of the researchers or related personnel.
1000
1st name | Hideo |
Middle name | |
Last name | Sasai |
Gifu University
Department of Pediatrics,Graduate School of Medicine
501-1194
1-1 Yanagido, Gifu, Gifu
058-230-6386
sasai-gif@umin.net
1st name | Hideo |
Middle name | |
Last name | Sasai |
GIfu University
Department of Pediatrics,Graduate School of Medicine
501-1194
1-1 Yanagido, Gifu, Gifu
058-230-6386
sasai-gif@umin.net
Gifu University
SASAI Hideo
Japan Agency for Medical Research and Development (AMED)
Japanese Governmental office
Kyoto University Graduate School and Faculty of Medicine, Ethics Committee
Yoshida-Konoe-cho, Sakyo-ku, Kyoto
075-753-4680
sasai-gif@umin.net
NO
2025 | Year | 04 | Month | 01 | Day |
Unpublished
Enrolling by invitation
2021 | Year | 07 | Month | 20 | Day |
2021 | Year | 07 | Month | 20 | Day |
2021 | Year | 07 | Month | 20 | Day |
2035 | Year | 01 | Month | 10 | Day |
14.1 Observational Items
[Initial Registration Items]
Name, contact information
Date of birth, sex
Birth information
Diagnosis, certification status as a Designated Intractable Disease patient
Onset date, diagnosis date
Medical institution name, medical department
EQ-5D-5L
Family history
Pregnancy and childbirth information
Social security, care certification, care level
Educational and employment status
Use of stimulants or preferences
Information about parents
Information at birth
Patient information at registration (height, weight, intelligence quotient)
Diagnosis name
Genetic mutation information
Primary physician information
Newborn mass screening results
Urinary organic acid analysis results
Tandem mass spectrometry results
General clinical test results
Clinical course
Treatment details
Results of brain MRI, electrocardiogram, echocardiogram, and other specialized tests
[Follow-up Survey Items]
Outcomes
EQ-5D-5L
Primary physician information
Recent test results
Height, weight, development
Progress over the past two years
Current treatment
Results of brain MRI, electrocardiogram, echocardiogram, and other specialized tests
Treatment details
14.2 Observation Schedule
The follow-up survey will be conducted one year after the initial registration and approximately every two years thereafter (e.g., for patients registered in year X, follow-up will occur in years X+1, X+3, X+5).
14.3 Observation Methods
Candidate registrants will send their basic information to the research office at the time of initial registration. The research office will input this data into the registry system. For registered patients, the primary physician requested by the patient (or their parents) will input the initial medical information directly into the system if the physician is a member of the Metabolism Core Team (co-investigators).
2025 | Year | 01 | Month | 14 | Day |
2025 | Year | 01 | Month | 14 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000064829