Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| lipid metabolomics | Diagnostic Test | Extract 4 milliliters of fasting peripheral venous blood from enrolled patients for targeted lipid metabolism metabolomics research. Utilize a liquid chromatography-tandem mass spectrometry (LC-MS/MS) system to conduct metabolomics analysis on patient blood samples. |
| Measure | Description | Time Frame |
|---|---|---|
| Incidence of cardiovascular adverse events | Cardiovascular adverse events includes Cardiovascular-related death, non-fatal myocardial infarction, non-fatal stroke, repeat revascularization, rehospitalization for heart failure.
| 12 month follow-up |
| Incidence of Renal composite endpoint event | Renal composite endpoint event includes renal failure, renal-related death, or a decrease in eGFR >40% from baseline (confirmed by a second test 4 weeks later).
| 12 month follow-up |
| Measure | Description | Time Frame |
|---|---|---|
| Incidence of All-cause mortality | All-cause deaths includes cardiac death, vascular death and non-cardiovascular death.
|
Not provided
Inclusion Criteria:
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:
Not provided
Not provided
The population of this study will be selected from China-Japan Friendship Hospital
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Chen Qiang | Contact | +86 13882712184 | dawangchen@163.com |
| Name | Affiliation | Role |
|---|---|---|
| Zheng Jingang, MD | China-Japan Friendship Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| China-Japan Friendship Hospital | Recruiting | Beijing | Beijing Municipality | China |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Collect 4 ml of fasting peripheral venous blood from enrolled patients. Fasting should commence at 22:00 the day before blood collection. The blood should be placed in EDTA anticoagulant tubes.
Within 2 hours after blood collection, plasma should be separated and stored for subsequent lipidomic analysis. This involves centrifuging at 3000 rpm for 10 minutes to separate the plasma. Transfer the upper layer of plasma into 200 ul/1.5 ml EP tubes, then store at -80°C for preservation.
| 12 month follow-up |
| Incidence of Repeat revascularization | Repeat revascularization is any unplanned repeat revascularization of either a target vessel or non-target vessel or CABG. | 12 month follow-up |
| Incidence of bleeding | Bleeding Academic Research Consortium (BARC) type 2 to 5 bleeding. | 12 month follow-up |
| ID | Term |
|---|---|
| D051436 | Renal Insufficiency, Chronic |
| D003327 | Coronary Disease |
| D052439 | Lipid Metabolism Disorders |
| ID | Term |
|---|---|
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D017202 | Myocardial Ischemia |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D014652 | Vascular Diseases |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
Not provided
Not provided