Inflammation in Acute Cardiovascular Diseases - the CArdiovascular Inflammation Registry (CAIR)
CAIR
An Observational-based Registry of Routinely Collected Clinical Parameters to Study Inflammation in Acute Cardiovascular Diseases - the CArdiovascular Inflammation Registry
1 other identifier
observational
1,000
0 countries
N/A
Brief Summary
Following acute cardiovascular injury, inflammation is vital to activate reparative mechanisms. However, there is compelling evidence implicating excessive inflammation and dysregulated resolution in fibrosis, ventricular remodelling, and heart failure (HF). Recently, the anti-inflammatory agent colchicine reduced cardiovascular events after myocardial infarction (MI) compared to placebo, indicating that targeting inflammation in acute cardiovascular conditions is feasible. Several acute cardiovascular conditions are characterised by inflammation, including myocarditis, MI, and acute heart failure. However, there is large variability in definition, epidemiology, clinical presentation, pathophysiology, and natural history of acute inflammatory cardiovascular diseases. This relates, in part, to the difficulty in performing adequately powered studies. Clinical studies that include sufficient patients and extended observation periods are necessary to address some of these knowledge gaps. This registry aims to collate routinely collected clinical data on patients with acute cardiovascular diseases characterised by inflammation in an observational-based registry. By doing so, the investigators hope to understand the contribution of inflammation to the pathophysiology of acute cardiovascular disease, improve risk stratification, and identify potential novel therapeutic targets.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2024
Longer than P75 for all trials
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 8, 2024
CompletedFirst Posted
Study publicly available on registry
May 13, 2024
CompletedStudy Start
First participant enrolled
July 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2034
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 1, 2039
May 14, 2024
May 1, 2024
10 years
May 8, 2024
May 13, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
All-cause mortality
Primary outcome will include all-cause mortality, but will vary by specific research project conducted within the registry.
1 year
Study Arms (1)
Acute inflammatory cardiac disease
This registry aims to collate routinely collected clinical data on patients with acute cardiovascular diseases.
Interventions
Eligibility Criteria
Patients who are diagnosed with acute cardiovascular diseases can be included in the registry.
You may qualify if:
- Any patient 13 years of age or older with an acute cardiovascular condition requiring hospital admission is eligible.
You may not qualify if:
- \<13 years of age
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 10 Years
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 8, 2024
First Posted
May 13, 2024
Study Start
July 1, 2024
Primary Completion (Estimated)
July 1, 2034
Study Completion (Estimated)
July 1, 2039
Last Updated
May 14, 2024
Record last verified: 2024-05
Data Sharing
- IPD Sharing
- Will not share
Partner sites (including those outside the UK) will store linkage files for their own patients in accordance with local policies. Data will be stored on a research database (REDCap) hosted by King's College London. Each participating centre will have linkage codes for their own patients only. Therefore, exported data will not be identifiable to other centres.