Cardiovascular-Renal Adverse Prognosis Assessment System for Coronary Heart Disease With Chronic Kidney Disease Based on Metabolomics (CRUISE-MET)

China-Japan Friendship Hospital

Status: Enrolling

Conditions: Chronic Kidney Diseases; Coronary Heart Disease; Lipid Metabolism Disorders

Treatments: Diagnostic Test: lipid metabolomics

Study type: Observational

Funder types: Other

Identifiers

NCT06383208

2024-ZF-13

Details and patient eligibility

About

Coronary heart disease (CHD) combined with chronic kidney disease (CKD) affects a substantial portion of the population and carries a significant disease burden, often leading to poor outcomes. Despite efforts to strictly control traditional risk factors, the efficacy in improving outcomes for patients with both CHD and CKD has been limited. Recent advancements in lipid metabolism research have identified new lipid metabolites associated with the occurrence and prognosis of CHD and CKD. Our preliminary trial has shown that levels of certain lipid metabolites, such as Cer(18:1/16:0), HexCer(18:1/16:0), and PI(18:0/18:1), are notably elevated in patients with CHD and reduced kidney function compared to those with relatively normal kidney function. This suggests that dysregulation of these non-traditional lipid metabolites may contribute to residual risk for adverse outcomes in these patients.

Furthermore, the emerging concept of "cardiovascular-kidney-metabolic syndrome" and the availability of new treatment options highlight the urgent need for a risk stratification tool tailored to modern management strategies and treatment goals to guide preventive measures effectively. To address this, we propose to conduct a prospective cohort study focusing on CHD combined with CKD. This study aims to comprehensively understand the clinical characteristics, diagnosis, treatment status, and cardiovascular-kidney prognosis in these patients. Through advanced metabolomics analysis, we seek to identify lipid metabolism profiles and non-traditional lipid metabolites associated with the progression of coronary artery disease in CHD-CKD patients. Leveraging clinical databases and metabolomics data, we will develop a robust risk prediction model for adverse cardiovascular-kidney outcomes, providing valuable guidance for clinical diagnosis, treatment decisions, and ultimately improving patient prognosis.

Enrollment: 470 estimated patients

Sex: All

Ages: 18 to 80 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

1. Age 18-80 years old;
2. Diagnosed with CHD during hospitalization through coronary angiography, including ST-segment elevation myocardial infarction (STEMI), non-ST-segment elevation acute coronary syndrome (NST-ACS), stable angina pectoris;
3. Patients with clarified renal function status.;

CKD is defined as meeting one of the following criteria, with a duration of more than 3 months: eGFR < 60 ml/min/1.73 m² or eGFR ≥ 60 ml/min/1.73 m² and urinary albumin-to-creatinine ratio (uACR) ≥ 30 mg/g;

Exclusion criteria

1. Pregnancy or lactation;
2. Severe valve disease or severe mechanical complications requiring surgical intervention;
3. Severe psychiatric illness or other reasons that impede follow-up compliance;
4. Severe hematologic disorders or end-stage malignant tumors;
5. Having undergone kidney transplantation or long-term maintenance dialysis;
6. Severe liver disease (Child-Pugh class C);
7. Received acute renal failure dialysis treatment within 12 weeks prior to screening for enrollment;
8. Severe chronic lung disease requiring long-term mechanical ventilation support or awaiting lung transplantation;
9. Life expectancy less than 1 year.