Correlation Between Targeted HbA1c Values and Prevention of Recurrent Cardiovascular Events in Type 2 Diabetes After PCI (CATHEDRAL)
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|ClinicalTrials.gov Identifier: NCT05134129|
Recruitment Status : Recruiting
First Posted : November 24, 2021
Last Update Posted : November 24, 2021
Diabetes is a leading social and economic burden in the world. It is the main reason of macrovascular disease incidence and mortality. Prospective studies have demonstrated that high glycosylated hemoglobin (HbA1C) levels are associated with an increased risk of cardiovascular events in a population of diabetic patients without a history of coronary artery disease. Further, the predictive value of high preprocedural glycemia levels has been reported in diabetic patients undergoing percutaneous coronary intervention (PCI). The aim of the present study was to assess the predictive value of preprocedural HbA1C levels for cardiovascular complications in a large population of diabetic patients undergoing PCI with stent implantation. Glycosylated hemoglobin (HbA1c) reflects the average blood sugar level in the past 2-3 months. As glycosylated hemoglobin has been clinically tested and standardized internationally, increasing evidence is recommended for routine monitoring in diabetes care. The American Diabetes Association (ADA) suggested that in the treatment of diabetes, blood sugar control should control HbA1c level below 6.5%. Although，there is evidence that controlling blood glucose can reduce the incidence of microvascular complications, in the past three trials, intensive glycemic control did not significantly reduce adverse CV events in patients with onger duration of diabetes.Therefore, most primary and secondary prevention guidelines recommend HbA1c below 6.5% or 7% to prevent adverse cardiovascular outcomes in patients with diabetes mellitus. The optimal target level of glycosylated hemoglobin is still hotly debated. In addition, there is still lack of evidence for the level of HbA1c in patients with major vascular disease history in secondary prevention of recurrence cardiovascular events.
Therefore, to explore and determine the optimal level of blood glucose control is the focus of controversy in preventing recurrence cardiovascular events in diabetic patients. Investigator will combine epidemiology and metabolomics to study the effect of glycosylated hemoglobin on secondary cardiovascular events, and further determine whether to strengthen hypoglycemic treatment after PCI.
|Condition or disease|
|Diabetes Mellitus Percutaneous Coronary Intervention|
|Study Type :||Observational|
|Estimated Enrollment :||1500 participants|
|Official Title:||Correlation Between Targeted Hemoglobin A1C Levels and Prevention of Recurrent Cardiovascular Events in Type 2 Diabetes After Coronary Intervention|
|Actual Study Start Date :||April 25, 2021|
|Estimated Primary Completion Date :||September 1, 2024|
|Estimated Study Completion Date :||September 1, 2024|
- Coronary revascularization [ Time Frame: 3 years ]Coronary revascularization includes percutaneous coronary intervention, or/and percutaneous coronary artery dilatation, or/and percutaneous coronary artery bypass grafting.
- All cause mortality [ Time Frame: 3 years ]which refers to the total death caused by various causes in a certain period.
- Cardiac mortality [ Time Frame: 3 years ]Cardiac death refers to the death caused by serious cardiac dysfunction or failure caused by heart disease or injury in a certain period.
- Differential polar compound [ Time Frame: 3 years ]Metabonomic analysis uses non targeted detection methods to detect polar compounds in blood. The characteristic peaks of detectable substances were detected by chromatographic Series platform, and then these characteristic peaks were compared with the standard library containing more than 8000 metabolites, annotated the compounds, and screened out the different metabolites between groups.
- Differential lipid compounds [ Time Frame: 3 years ]Metabonomic analysis uses non targeted detection methods to detect lipid compounds in blood. The characteristic peaks of detectable substances were detected by chromatographic Series platform, and then these characteristic peaks were compared with the standard library containing more than 8000 metabolites, annotated the compounds, and screened out the different metabolites between groups.
Biospecimen Retention: Samples Without DNA
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Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT05134129
|Contact: Yan Cang, MDfirstname.lastname@example.org|
|Contact: Zhicai Wang, MDemail@example.com|
|Principal Investigator:||Yan Cang, MD||Department of Cardiology, Shanghai Tenth People's Hospital|
|Principal Investigator:||Zheng Liu, pHD||Department of Cardiology, Shanghai Tenth People's Hospital|
|Principal Investigator:||Zhicai Wang, MD||Department of Cardiology, Shanghai Tenth People's Hospital|