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Cardiovascular diseases, mainly represented by ischemic heart disease and heart failure, are the number one killers of human health today. The China Cardiovascular Health and Disease Report 2022 pointed out that the current number of people suffering from cardiovascular diseases in China is 330 million, and cardiovascular diseases account for the highest proportion of disease deaths among urban and rural residents. With the increase of the population and the progress of aging in recent years, the number of patients with cardiovascular diseases is still increasing. Level three prevention is an important part of the long-term management of patients with cardiovascular diseases. Early identification of high-risk groups among patients with cardiovascular diseases and individualized and accurate treatment can greatly reduce the probability of cardiovascular events in patients, improve the quality of life and prognosis of patients, and reduce overall medical economic expenditure. However, at present, there is still a lack of effective biological markers in clinical practice that can give patients accurate positioning in all aspects. In this project, we intend to carry out the following research: (1) Based on real-world cohort research and observation, through proteomics, genomics, transcriptomics, metabolomics, etc., we will explore biomarkers that can be used for the evaluation of cardiovascular diseases from peripheral serum samples of patients with cardiovascular disease (2) Based on true The cohort research observation in the real world clarifies the effectiveness of the biomarkers screened in the first part of the research content and the correlation with the prognosis of the disease (3) Through bioinformatics analysis and basic function research, the function of the selected biomarkers and the mechanism of action in the organism are clarified. This project is expected to provide new criteria and theoretical basis for the prognostic management of clinical cardiovascular diseases.
In this project, we will plan to carry out the following research: (1) Based on real-world cohort study observations, explore biomarkers that can be used for tertiary prevention assessment of cardiovascular disease from peripheral serum samples of cardiovascular disease patients through proteomics, genomics, transcriptomics, metabolomics, etc.(2) Based on real-world cohort study observations, clarify the effectiveness of the biomarkers screened in the first part of the research content and their correlation with disease prognosis (3) Through bioinformatics analysis and basic functional research, Clarify the functions of the screened biomarkers and their mechanisms of action in vivo. This project is expected to provide new evaluation criteria and theoretical basis for clinical cardiovascular disease prognostic management.
The specific research plan is as follows:
All patients were required to complete general conditions, laboratory tests and auxiliary tests at enrollment, and major cardiovascular events and readmission events related to cardiovascular diseases were recorded during the follow-up period.
General conditions include: height, weight, age, gender, BMI, blood pressure, heart rate Laboratory tests and auxiliary tests include: NT-proBNP, BNP, blood routine (white blood cell count (WBC), red blood cell count (RBC), hemoglobin (Hb), hematocrit, platelets, mean corpuscular hemoglobin content (MCH), mean corpuscular hemoglobin concentration (MCHC), mean corpuscular volume (MCV), corpuscular volume distribution width (RDW)), liver and kidney function (Aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (AP), creatine kinase (CK), serum creatinine, eGFR, blood urea nitrogen, bilirubin, electrolytes (sodium, serum potassium), thyroid function, urine routine examination, glycosylated hemoglobin, cardiac color Doppler examination Biological sample testing includes: proteomics, genomics, transcriptomics, metabolomics, etc.
Major cardiovascular events: acute myocardial infarction, stroke, cardiovascular death
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| PCI in patients with acute myocardial infarction |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Hematological indicators | Biological | This project is a retrospective clinical cohort study. STEMI patients undergoing PCI were selected to explore whether hematological indicators such as PIV, SHR, and Lp(a) can improve the accuracy of predicting short-term MACE events in STEMI patients. |
| Measure | Description | Time Frame |
|---|---|---|
| MACE | The composite events include a composite of all-cause mortality (death due to any cause), cardiovascular mortality (death due to cardiac cause), and heart failure rehospitalization. | From the time of hospital discharge until the event of specific outcome, death, or loss to follow up, maximum 5 years. |
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Inclusion Criteria:
1. Subjects must be 30 years old and older at the time of signing the informed consent form.
Subject type and disease characteristics:
Exclusion Criteria:
8. Life-threatening or uncontrollable arrhythmias at screening, including but not limited to: sustained ventricular tachycardia, or atrial flutter with a resting ventricular rate >110 bpm; 9. Symptomatic hypotension (average systolic blood pressure <90 mmHg ) during the screening period; 10. Left ventricular assist device installed at screening; 11. History of hyperkalemia or acute renal failure for more than 7 consecutive days during MRA treatment; 12. Pregnant or lactating (lactating) women, where pregnancy is defined as the state of a woman from conception until termination of pregnancy, and confirmed by a positive human chorionic gonadotropin urine or serum test result; 13. Liver dysfunction classified as Hild-Pugh grade C at screening.
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Patients with acute myocardial infarction or heart failure
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Jing 'an District, Shanghai City | Shanghai | Jing 'an District | 200072 | China |
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BLOOD
|
| Serological indicators in patients with myocardial infarction | Biological | This study selected STEMI patients who underwent PCI and collected their hematological indicators to explore the value of PIV, SHR, Lp(a) and other indicators in improving the accuracy of predicting MACE in STEMI patients in the short term. |
|
| Levels of biomarkers in blood of patients with acute myocardial infarction | Biological | Hemoglobin, neutrophil count, lymphocyte count, monocyte count and platelet count values, N-terminal pro-B type natriuretic peptide (NT-proBNP), peak creatine kinase isoenzymes (CK-MB), peak troponin T levels, total cholesterol (TC), fasting blood glucose (FBG), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and blood urine nitrogen, blood creatinine (Cr) and other indicators |
|
| ID | Term |
|---|---|
| D006333 | Heart Failure |
| D017202 | Myocardial Ischemia |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D014652 | Vascular Diseases |
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