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REgiStry-based Cardiovascular qUality improvEment Research

Registry-based Cardiovascular Quality Improvement Research (RESCUER)

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06137885
Acronym
RESCUER
Enrollment
2000
Registered
2023-11-18
Start date
2023-04-24
Completion date
2026-05-31
Last updated
2023-11-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiometabolic Syndrome, Heart Failure, Percutaneous Coronary Intervention, Structural Heart Abnormality

Keywords

Cardiovascular Diseases, Registry, Cardiac rehabilitation, Active device surveillance, Multi-omics

Brief summary

The goal of this registry-based observational study is to establish a comprehensive management plan, which focus on medical therapy, cardiac rehabilitation and active post-market surveillance of medical devices, in patients with cardiovascular diseases (CVD). Patients with CVD mainly refers to four groups of patients:1) post-percutaneous coronary intervention (post-PCI) patients; 2) patients with heart failure (HF); 3) patients with cardiometabolic diseases (CMD); 4) patients with structural heart disease (SHD), and the detailed definition of each group can be found in Eligibility section. The main questions this study aims to answer are: * the effectiveness of exercise-based cardiac rehabilitation in improving cardiac function, reducing CVD recurrence and mortality, and promoting quality of life for patients with CVD; * the feasibility of registry-based active post-market surveillance of high-risk medical devices used in cardiovascular surgeries, such as PCI, heart valve replacement, and cardiac resynchronization therapy (CRT); * the utilization of multiomics datasets to identify and dissect cardiovascular heterogeneity in both healthy and diseased populations and to guide precision medicine in patients with CVD; * the analysis and evaluation of the prescription patterns and drug response in patients with CVD.

Detailed description

This is a long-term registry, which will continuously enroll patients and approximately 2000 subjects will be enrolled during the first phase. Primary analyses may include, but will not be limited to, the following: incidence of MACE, procedural complications, and changes in patients' quality of life. Descriptive statistics will be used for baseline, procedure and follow-up data collected through the study. Each patient will be followed for a period of two years after enrollment according to the schedule and standard practice at Peking University Third Hospital. The follow-up schedule is 2 weeks, 1 month ( additional for HF group), 3 months, 6 months, 12 months, 24 months after discharge. For patients who miss a follow-up visit, a contact (e.g. phone call) will ensure capture of the endpoint related information. In addition, all fatal events will be tracked from the death registry.

Interventions

BEHAVIORALCardiac rehabilitation

Cardiac rehabilitation is a comprehensive model of care involving prescribed exercise, medication management, lifestyle modification, and psychosocial counseling to help people with heart diseases resume and enhance their psychosocial and vocational status.

OTHERActive post-market surveillance of devices

Active post-market surveillance of devices is an essential and ongoing process that involves systematic monitoring and assessment of medical devices once they are available on the market. It involves continuous data collection and analysis, early detection of issues, risk assessment, compliance with regulatory requirements, adaptive decision-making, and transparent communication with healthcare professionals and patients.

OTHERMulti-omics approach to precision medicine

Multi-omics analysis refers to the collective analysis of extensive biological data from multiple omics sources to gain a holistic understanding of an individual's health status, disease susceptibility, and response to therapies. By considering a broad spectrum of genetic and molecular information, multi-omics precision medicine aims to deliver more accurate diagnoses, predict disease risks, select optimal treatment options, and monitor therapeutic responses with a high degree of specificity, ultimately improving patient outcomes and minimizing adverse effects.

OTHERThe prescription pattern analysis

The prescription pattern analysis refers to the systematic examination and evaluation of the types, dosages, frequencies, and trends in medications prescribed to patients with cardiovascular conditions. By scrutinizing prescription patterns, researchers and healthcare professionals can identify prevalent medications, assess adherence to treatment guidelines, uncover potential gaps or areas for improvement in patient care, and gain insights into the evolving landscape of cardiovascular therapies.

Sponsors

Peking University
CollaboratorOTHER
Peking University Third Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients aged ≥ 18 years with cardiovascular diseases who are hospitalized at the Department of Cardiology of Peking University Third Hospital after April 24th, 2023; * Patients meet the following disease definitions: 1. PCI group: Patients underwent percutaneous coronary intervention (PCI) or coronary angiography; 2. HF group: Patients diagnosed with heart failure; 3. Cardiometabolic Disease (CMD) group: Patients with cardiovascular disease (primarily including coronary artery disease, peripheral artery disease, and aortic disease) and coexisting metabolic disorder (defined as obesity \[BMI≥28 kg/m\^2\], prediabetes and diabetes, hypertension, hyperlipidemia, thyroid dysfunction, and non-alcoholic fatty liver disease); 4. Structural Heart Disease (SHD): Patients with structural heart disease, including * Congenital heart diseases (such as ventricular septal defect, atrial septal defect, patent ductus arteriosus, tetralogy of Fallot, etc.); * Heart valve diseases (mitral valve, tricuspid valve, aortic valve, pulmonary valve, etc.); * Cardiomyopathies (hypertrophic cardiomyopathy, dilated cardiomyopathy, etc.); * Conditions associated with other diseases or acquired structural abnormalities of the heart (ventricular septal perforation, ventricular aneurysm, iatrogenic atrial septal defect, etc.); * Conditions resulting from other diseases that cause abnormal heart function, which can be corrected by altering cardiovascular structure (such as left atrial appendage dysfunction caused by atrial fibrillation, abnormal cardiac function caused by heart failure); * Others: Intracardiac thrombosis, cardiac tumors, pericardial diseases, etc.

Exclusion criteria

* patients with no informed consent form (ICF) or who withdraw ICF; * patients with cognitive impairment or those unable to complete the questionnaire required in the study; * patient who is pregnant.

Design outcomes

Primary

MeasureTime frameDescription
MACE (PCI group and CMD group)Assessed at each scheduled follow-up and all fatal events will be tracked from the death registryMajor Adverse Cardiovascular Events (MACE): non-fatal myocardial infarction, non-fatal stroke, unstable angina, and all-cause mortality.
Composite Endpoint:cardiovascular death+ HF-related rehospitalization.Assessed at each schedule follow-up and all fatal events will be tracked from the death registryPrimary outcome for HF group
Composite Endpoint:cardiovascular death+ rehospitalization.Assessed at each scheduled follow-up and all fatal events will be tracked from the death registryPrimary outcome for SHD group

Secondary

MeasureTime frameDescription
HF-related rehospitalization (HF group)Assessed at each scheduled follow-upHF-related rehospitalization refers to the situation where an individual who has previously been hospitalized for heart failure (HF) experiences a recurrence or worsening of their heart failure symptoms and needs to be readmitted to the hospital for further medical treatment and care.
Composite outcome of in-hospital device-related adverse eventsIn hospitalIn-hospital device-related adverse event outcomes are defined as device embolization, device fracture, device thrombosis, device displacement, heart arrest, and cardiac perforation.
Composite outcome of long-term device-related adverse eventsAssessed at each scheduled follow-upLong-term device-related adverse event outcomes are defined as device embolization and device thrombosis.
Composite outcome of bleeding and transfusionAssessed at each scheduled follow-up and during hospitalizationBleeding and transfusion are defined using the Bleeding Academic Research Consortium (BARC) categories.
Changes in health related quality of life scores reported by participants via EuroQol-5 dimensions (EQ-5D) questionnaireAssessed at each scheduled follow-upChanges in patients' quality of life scores are measured by EQ-5D questionnaire.
Changes in health related quality of life scores reported by participants via Kansas City Cardiomyopathy Questionnaire (KCCQ) (for HF group and SHD group)Assessed at each scheduled follow-upThe KCCQ measures symptoms, physical and social limitations, and quality of life in patients with heart failure and structural heart diseases.
Changes in patients' peak oxygen uptakeAssessed at each each scheduled follow-upThe peak oxygen uptake is measured by the cardiopulmonary exercise test (CPET).
3-point MACE (PCI group and CMD group)Assessed at each scheduled follow-up and all fatal events will be tracked from the death registry3 point MACE: non-fatal myocardial infarction, non-fatal stroke, and cardiovascular death.
Cardiovascular death (HF group)Assessed at each scheduled follow-up and all fatal events will be tracked from the death registryCardiovascular death refers to a type of death that occurs as a result of diseases or conditions affecting the cardiovascular system, which includes the heart and blood vessels.

Countries

China

Contacts

Primary ContactYueyue Xi
18611707034@163.com18611707034

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026