| Unique ID issued by UMIN | UMIN000060577 |
|---|---|
| Receipt number | R000069288 |
| Scientific Title | Development and Validation of a Cardiovascular High-Risk Identification Algorithm Combining BMI and Body Muscle-to-Fat Ratio (BMFR) in Patients with Diabetes Mellitus |
| Date of disclosure of the study information | 2026/03/01 |
| Last modified on | 2026/02/04 12:48:54 |
Combined Use of BMI and Body Muscle-to-Fat Ratio (BMFR) for Identifying High-Risk Patients with Diabetes Mellitus
BMI-BMFR Risk Study
Development and Validation of a Cardiovascular High-Risk Identification Algorithm Combining BMI and Body Muscle-to-Fat Ratio (BMFR) in Patients with Diabetes Mellitus
BMI-BMFR Risk Study
| Japan |
Type 2 Diabetes Mellitus
| Endocrinology and Metabolism |
Others
NO
To examine whether the combination of BMI and BMFR can identify cardiovascular high risk patients who are not detected by BMI alone, and to develop a novel algorithm based on the combination of BMI and BMFR for risk stratification
Efficacy
Presence of cardiovascular disease high risk status defined as 2 or more of the following conditions: hypertension, dyslipidemia, fatty liver, chronic kidney disease, or hyperuricemia, and its identification based on BMFR classification
1. Prevalence of high risk stratified by BMI and BMFR, 2. Association between four groups (normal, hidden obesity, healthy obesity, metabolic obesity) and CVD risk, 3. Odds ratios estimated by logistic regression analysis
Observational
| 18 | years-old | <= |
| 100 | years-old | > |
Male and Female
Patients with type 2 diabetes mellitus treated at our clinic
Aged 18 years or older
Those who underwent body composition assessment enabling measurement of skeletal muscle mass and fat mass
Individuals in whom BMI and BMFR can be calculated
Patients whose medical records allow assessment of hypertension, dyslipidemia, fatty liver, chronic kidney disease, and hyperuricemia
Patients with missing body composition data
Individuals in whom body composition measurement is contraindicated
Patients with active malignancy
Those with marked fluid imbalance due to severe heart failure, liver failure, or renal failure
Patients judged inappropriate for inclusion by the investigator
118
| 1st name | Noboru |
| Middle name | |
| Last name | Kurinami |
Jinnouchi Hospital
Internal Medicine
862-0976
6-2-3 Kuhonji, Chuo-ku, Kumamoto City, Kumamoto
0963630011
kurinami@jinnouchi.or.jp
| 1st name | NOBORU |
| Middle name | |
| Last name | KURINAMI |
Jinnouchi Hospital
Internal Medicine
862-0976
6-2-3 Kuhonji, Chuo-ku, Kumamoto City, Kumamoto
0963630011
kurinami@jinnouchi.or.jp
Jinnouchi Hospital
None
Other
Jinnouchi
6-2-3 Kuhonji, Chuo-ku, Kumamoto City, Kumamoto
0963630011
kurinami@jinnouchi.or.jp
NO
| 2026 | Year | 03 | Month | 01 | Day |
Unpublished
Preinitiation
| 2026 | Year | 02 | Month | 01 | Day |
| 2026 | Year | 03 | Month | 01 | Day |
| 2027 | Year | 04 | Month | 30 | Day |
This is an observational study without any intervention, based on a cross-sectional analysis of clinical information and body composition data obtained in routine clinical practice. The study was designed on the basis of our previous report (J Clin Med Res. 2021;13(7):387-391) to evaluate the validity of a novel algorithm combining BMI and Body Muscle-to-Fat Ratio (BMFR) for identifying cardiovascular disease (CVD) high-risk patients. Data are collected from medical records and bioelectrical impedance analysis, and no additional invasive procedures are performed.
| 2026 | Year | 02 | Month | 04 | Day |
| 2026 | Year | 02 | Month | 04 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000069288