Beilishi Road 167
Beijing, Beijing Municipality, 100037, China
NCT Number: NCT07476456
This study is designed as a prospective, single-center, observational cohort study (the SMART-SCD Study, full name: Skeletal Muscle Multi-omics Analysis and Risk Tailoring in Sudden Cardiac Death), which enrolls high-risk populations meeting the criteria for implantable cardioverter defibrillator (ICD) implantation.
The research focuses on the mechanistic association between skeletal muscle metabolic disorders and ventricular arrhythmia (VA) as well as sudden cardiac death (SCD), and aims to construct a "muscle-heart crosstalk" risk early warning system through integration of multimodal skeletal muscle data. We will systematically collect the following data:
Baseline handgrip strength measurement (Biomi-h500+X5); Functional diagnosis and phenotyping of sarcopenia conducted via the InBody 270 body composition analyzer; Non-contrast chest and abdominal computed tomography (CT) images (to extract novel imaging phenotypes including skeletal muscle density at the T12 vertebra level, intermuscular adipose tissue, subcutaneous adipose tissue, etc.); Serum biomarkers (GDF-8, Irisin, IL-6); Metabolomics data of skeletal muscle tissue from the ICD pocket (lipid/energy metabolism profiles detected via the UPLC-QTOF/MS platform); Ambulatory electrocardiographic data. All treatment and intervention regimens for patients will be independently formulated by clinicians in accordance with clinical guidelines, and the study itself does not involve any intervention measures. Prospective follow-up will be conducted at 3/6/12 months after ICD implantation. The primary endpoint is composite ventricular arrhythmia events (including SCD, appropriate ICD therapy documented by the device, and hemodynamically unstable ventricular tachycardia/ventricular fibrillation), and the secondary endpoint is all-cause mortality.
Through the above prospective cohort study, we will integrate multimodal data including novel CT imaging phenotypes of skeletal muscle, metabolomics profiles and functional phenotyping of sarcopenia using artificial intelligence techniques, so as to construct a precision prediction model for SCD, screen novel CT imaging phenotypes of sarcopenia and myogenic metabolites, and finally establish a generalizable SCD risk assessment tool and individualized intervention strategies.
Trial opening soon.
Get Notified18 year and older
All sexes
Observational
Beijing, Beijing Municipality, 100037, China
Inclusion criteria
Undergoing first-time ICD implantation (including cardiac resynchronization therapy defibrillator, CRT-D implantation); Completed multi-dimensional sarcopenia assessment at baseline; Willing to receive prospective follow-up and signed the informed consent form (ICF).
Exclusion criteria
History of valvular heart disease (e.g., mitral stenosis, history of heart valve replacement or valvuloplasty, etc.); Implanted ICD type is subcutaneous ICD (S-ICD) or extra-vascular ICD (EV-ICD); Concomitant comorbidities affecting muscle metabolism, such as malignant tumors, severe liver or kidney disease, etc.
Total study duration: Approximately 2 years, broken down as follows: preparation and finalization of clinical trial documents (including study protocol, investigator's brochure, informed consent form, case report form) takes ~2 months; ethical review approval takes ~3 months; enrollment period is 9 months; follow-up period is 12 months; data management, statistical analysis and report writing take ~2-3 months.
Imaging phenotypes: Based on preoperative non-contrast chest and abdominal computed tomography (CT) images, muscle imaging features at the level of the 12th thoracic vertebra (T12) are collected, including area and density of subcutaneous adipose tissue (SAT), area and density of intermuscular adipose tissue (IMAT), and skeletal muscle density (SMD), etc.
**Biomarkers: Baseline blood and urine samples are collected to analyze sarcopenia-related factors including growth differentiation factor 8 (GDF-8), myokine irisin, and interleukin-6 (IL-6).
Metabolomics analysis: Approximately 20 mg of skeletal muscle tissue at the ICD pocket site is collected synchronously during ICD implantation for metabolomics analysis. Subjects are divided into 4 groups: sarcopenia+VA, non-sarcopenia+VA, sarcopenia+non-VA, non-sarcopenia+non-VA. Targeted detection of myogenic metabolites will be performed: we plan to enroll 30 subjects per group to explore differential metabolites in the exploratory phase, then expand the sample size for validation. The ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) platform will be used to focus on detecting abnormalities in lipid and energy metabolism.
Follow-up content:
Primary endpoint: Composite ventricular arrhythmia (VA) events, including sudden cardiac death (SCD), appropriate ICD therapy documented by the device, and hemodynamically unstable ventricular tachycardia (VT)/ventricular fibrillation (VF).
Secondary endpoint: All-cause mortality.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 12 months
including sudden cardiac death (SCD), appropriate ICD therapy documented by the device, and hemodynamically unstable ventricular tachycardia (VT)/ventricular fibrillation (VF)
Time frame: 12 months
All deaths caused by various causes
Contact information is provided by the study sponsor or research team.
China National Center for Cardiovascular Diseases
Other Gov
Development and Implementation of an Artificial Intelligence-Driven Multimodal Skeletal Muscle Feature Fusion Model for Risk Prediction of Sudden Cardiac Death in Patients With Implantable Cardioverter-Defibrillators: The SMART-SCD Study.
Acronym: SMART-SCD
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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