| Unique ID issued by UMIN | UMIN000062959 |
|---|---|
| Receipt number | R000071987 |
| Scientific Title | Cardiomyopathy HeterOgeneity and Risk stratification through Deep phenotyping (CHORD study) |
| Date of disclosure of the study information | 2026/10/15 |
| Last modified on | 2026/10/15 11:07:06 |
Cardiomyopathy HeterOgeneity and Risk stratification through Deep phenotyping (CHORD study)
Cardiomyopathy HeterOgeneity and Risk stratification through Deep phenotyping (CHORD study)
Cardiomyopathy HeterOgeneity and Risk stratification through Deep phenotyping (CHORD study)
CHORD study
| Japan |
non-dilated left ventricular cardiomyopathy
| Cardiology |
Others
YES
The aim of this study is to comprehensively characterize the natural history and disease heterogeneity of NDLVC through deep phenotyping integrating clinical, imaging, genetic, and multi-omics data, and to scientifically validate its relevance and underlying structure as a novel phenotypic category proposed by the 2023 ESC Guidelines.
Specifically, this study aims to:
1. Characterize the natural history and clinical outcomes of NDLVC by integrating a 5-year prospective follow-up with a large-scale retrospective cohort;
2. Identify and reclassify distinct phenotypes and endotypes within NDLVC; and
3. Characterize dynamic disease processes based on longitudinal changes in multi-omics and imaging data.
Others
To integrate clinical, imaging, genetic, and multi-omics data obtained through deep phenotyping of NDLVC to establish risk stratification and prognostic models for clinical outcomes, including life-threatening arrhythmias, and to develop personalized management strategies according to individual disease profiles.
Not applicable
All-cause death
Cardiovascular death: sudden death; death due to heart failure/cardiogenic shock, acute myocardial infarction, or stroke; death related to cardiovascular procedures or bleeding (e.g., non-stroke intracranial hemorrhage, aortic rupture/dissection, cardiac tamponade); and other cardiovascular causes (e.g., pulmonary embolism, peripheral artery disease).
Non-cardiovascular death: pulmonary/respiratory failure, renal failure, gastrointestinal, hepatobiliary or pancreatic disease, infection including sepsis, inflammatory disease including SIRS/autoimmune/allergic disease, non-cardiovascular bleeding or procedures, trauma, suicide, drug intoxication, non-cardiovascular neurological disease, malignancy, or other causes.
Death of undetermined cause: death unclassifiable because of insufficient information; cardiovascular or non-cardiovascular classification is preferred.
Heart transplantation or ventricular assist device implantation
Worsening heart failure events: hospitalization, unscheduled visits requiring treatment such as intravenous diuretics, or treatment intensification (GDMT or diuretic dose escalation) for worsening heart failure
New-onset atrial fibrillation
Appropriate implantable cardioverter-defibrillator (ICD) therapy
Stroke (ischemic, hemorrhagic, or transient ischemic attack)
Other events requiring hospitalization
Changes in left ventricular ejection fraction (LVEF), dimensions, volumes, and mass
Changes in New York Heart Association (NYHA) functional class
Changes in oxygen consumption and VE/VCO2 slope on cardiopulmonary exercise testing
Changes in limb/trunk muscle strength, balance, and frailty measures
Changes in Kansas City Cardiomyopathy Questionnaire (KCCQ) scores
Patient experience measures (CG-CAHPS)
Changes in medications and doses (initiation, escalation, reduction, or discontinuation)
Omics data from blood, urine, exhaled volatile organic compounds (VOCs), stool, and myocardial tissue
Secondary Outcomes
Length of hospital stay
Invasive procedures performed, including:
Pacemaker implantation, implantable cardioverter-defibrillator (ICD) implantation, and cardiac resynchronization therapy (CRT)
Catheter ablation for atrial fibrillation, atrial flutter, supraventricular tachycardia, ventricular tachycardia, and other arrhythmias
Other invasive procedures
Data obtained from wearable activity trackers and smartwatches
Inpatient and outpatient healthcare costs based on Diagnosis Procedure Combination (DPC) data
Observational
| 20 | years-old | <= |
| Not applicable |
Male and Female
1. Presence of late gadolinium enhancement (LGE) on cardiac magnetic resonance imaging (CMR), irrespective of LVEF
2. Presence of left ventricular systolic dysfunction on transthoracic echocardiography
3. Left ventricular end-diastolic diameter within the upper limit of normal: <58 mm in men and <52 mm in women (no adjustment for body size required)
1. Patients diagnosed with primary cardiomyopathy (dilated, hypertrophic, restrictive, or arrhythmogenic right ventricular cardiomyopathy)
2. Patients diagnosed with secondary cardiomyopathy (e.g., cardiac amyloidosis, cardiac sarcoidosis, mitochondrial disease, Fabry disease, peripartum cardiomyopathy, post-myocarditis cardiomyopathy, drug-induced cardiomyopathy, or alcoholic cardiomyopathy)
3. Patients with significant coronary artery stenosis (50% or greater in the left main coronary artery or 75% or greater in any other major coronary artery), a history of myocardial infarction, or prior percutaneous coronary intervention or coronary artery bypass grafting
4. Patients with severe valvular heart disease
5. Patients with congenital heart disease
6. Patients with pulmonary hypertension other than Group 2 pulmonary hypertension
7. Patients with severe hepatic dysfunction or liver cirrhosis
8. Patients with severe renal dysfunction or those receiving dialysis
9. Patients with active cancer or a history of anthracycline therapy (use of other anticancer agents is permitted)
10. Patients with a life expectancy of less than 1 year
11. Patients deemed unsuitable for participation in the study by the principal investigator or co-investigators.
5000
| 1st name | Masaki |
| Middle name | |
| Last name | Ieda |
Keio University School of Medicine
Department of Cardiology
160-8582
35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
03-5843-6702
mieda@keio.jp
| 1st name | Yasuyuki |
| Middle name | |
| Last name | Shiraishi |
Keio University School of Medicine
Department of Cardiology
160-8582
35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
03-5843-6702
white_cascade_libra@yahoo.co.jp
Keio University School of Medicine
Yasuyuki Shiraishi
Bridgestone Corporation
Profit organization
Ethics Committee of Keio University School of Medicine
35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
03-3353-1211
med-rinri-jimu@adst.keio.ac.jp
NO
慶應義塾大学病院、杏林大学医学部付属病院、防衛医科大学校病院、埼玉医科大学国際医療センター、国立病院機構 埼玉病院、さいたま市立病院、国立病院機構 東京医療センター、東京都済生会中央病院、国家公務員共済組合連合会立川病院、日野市立病院、川崎市立川崎病院、横浜市立市民病院、神奈川県警友会けいゆう病院、済生会宇都宮病院、
国際医療福祉大学市川総合病院
| 2026 | Year | 10 | Month | 15 | Day |
Unpublished
Preinitiation
| 2025 | Year | 12 | Month | 16 | Day |
| 2026 | Year | 02 | Month | 27 | Day |
| 2026 | Year | 10 | Month | 01 | Day |
| 2033 | Year | 03 | Month | 31 | Day |
Investigators and clinical research coordinators at each site will register patients using a centralized web-based system and enter data at baseline and at 6 months and 1, 2, 3, 4, and 5 years. Selected data will be cross-checked against DPC data obtained at each site. DPC data will be processed using a de-identification program developed by TRIGRAPH Co., Ltd. and shared via a secure data-sharing application (e.g., Box) for centralized data linkage and management.
1. Baseline data
a. Patient characteristics
b. Vital signs, HF stage (B-D), and NYHA class
c. Clinical Frailty Scale
d. Blood and urine tests
e. 12-lead and ambulatory ECG
f. Echocardiography
g. Cardiac MRI/CT, chest X-ray, and cardiopulmonary exercise testing
h. Right heart catheterization
i. Medications, including diuretics, RAS inhibitors, beta-blockers, MRAs, SGLT2 inhibitors, ivabradine, sGC stimulators, digitalis, calcium-channel blockers, antithrombotic/antiarrhythmic agents, antidiabetic drugs, lipid/uric acid-lowering agents, and potassium binders
j. Invasive treatments (catheter-based, device, and surgical therapies)
k. Physical activity and autonomic activity assessed using wearable devices
l. Muscle strength, balance, and frailty measures
m. Health-related QoL
n. Patient Experience (PX)
o. Omics analyses (blood, urine, exhaled VOCs, stool, and myocardium)
2. Follow-up data
a. Cardiovascular adverse events
b. Invasive procedures
c. Blood tests
d. Echocardiography
e. Cardiopulmonary exercise testing
f. Medications
g. Physical and autonomic activity
h. Muscle strength, balance, and frailty
i. Health-related QoL
j. Patient Experience (PX)
k. Omics analyses
l. Healthcare cost information based on DPC data
| 2026 | Year | 09 | Month | 17 | Day |
| 2026 | Year | 10 | Month | 15 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071987