Acute Coronary Event, Coronary Arterial Disease (CAD), Sudden Cardiac Arrest, Sudden Cardiac Death, Sudden Cardiac Death Due to Cardiac Arrhythmia
Conditions
Keywords
sudden cardiac death, sudden cardiac arrest, coronary artery disease, acute coronary syndrome
Brief summary
The goal of this observational study is to recognize clinical and genetic risk factors for sudden cardiac arrest (SCA) and death (SCD) in patients with coronary artery disease (CAD). The main questions it aims to answer are: Are we able to recognize clinical or treatment-related risk factors for SCA or SCD? Can we identify new genetic risk factors for SCA or SCD in patients under 75 years? Participants diagnosed with CAD answer a short survey about their medical history and socioeconomic status. A standard ECG addition to a five (5) minute ECG recording is taken from all the study subjects. In addition to a few short physiological tests (e.g. blood pressure, height, weight, grip strength), a blood sample is withdrawn from a selected group of study subjects. Medical healthcare records are used to follow all study subjects, and no follow-up visits are required.
Detailed description
Source data verification is not planned for the baseline data acquisition. SCD data is collected from the national death certificate register, which is mandated by Finnish legislation. Death certificates must include information about all the significant prevalent diseases and the events and circumstances leading to death. Also, data regarding the cause of death (ICD-10 classification) and the place of death must be included. The certificate is written by the last physician treating the patient and is complemented with medical or medicolegal autopsy results if available. Research members will fully review all detected SCD case from medical records and death certificates. Patients treated for CAD in Tampere Heart Hospital are recruited by research staff according to up-to-date Standard Operating Procedures (SOP). Research staff will conduct surveys and physiological measurements and take a blood sample in as planned. The blood sample is processed and stored according to research plan. The collected data is entered and saved to the Tampere Heart Hospital RedCap database. All research staff is trained according to up-to-date SOP. The final analytics of the blood samples including genetic testing will be decided later. The study is designed to have 80% power (alpha 0.05) to demonstrate a small-medium effect (Cohen's D 0.2-0.5) for normally distributed variables. To this end, 150-200 SCD cases should be detected in the follow-up. Based on previous research, 4000 subjects with four years of follow-up need to be recruited to fulfil the target number of SCD cases. With this sample, a 2.5-3.5 times risk ratio for categorical variables could be detected (80% power). Missing data will be addressed as such. If significant number of study subjects with missing data will be detected data imputing can be considered during analysis. Prospective data regarding SCD will be analyzed in addition to conventional statistical methods, with Cox regression model. Also Fine Gray subdistribution models will be used. Machine learning model can used especially analyzing ECG and genetic data.
Interventions
None listed
Sponsors
Tampere Heart Hospital
Tampere University
Tampere University Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
1. Age \> 18 years 2. A patient who lives in the area of 'Wellbeing Services County of Pirkanmaa' and seeks treatment for coronary artery disease (CAD). 3. CAD is diagnosed with invasive coronary angiogram or computed tomography angiogram (CTA) which is evaluated by cardiologists based on current guidelines for stenosis level evaluation and fractional flow reserve (FFR) results. 4. An invasive coronary angiogram or CTA is done within three (3) months. 5. Good or moderate everyday functional ability
Exclusion criteria
1. Life expectancy \<1 months. 2. A significant valvular heart disease treated previously (endovascular or surgical) or requires treatment (endovascular or surgical) in the next three (3) months. 3. Previously implanted cardioverter-defibrillators (ICD) or will be implanted in the next three (3) months. 4. An active malignancy (ongoing treatment for a solid tumour, metastatic solid tumour, fast progressing haematological malignancy, or equal malignant disease). 5. A significant neurodegenerative disease (dementia, Mini-Mental State Examination (MMSE) \<23 or equivalenneurodegenerative disease affecting everyday functional ability, like ALS, myositis, prograded MS-disease or Parkinson's disease). 6. Intellectual disability or a significant disability affecting cognitive functions 7. Do-not-resuscitate (DNR) treatment decision Subgroup with blood samples: Blood samples are withdrawn from all study subjects under 76 years of age. Additionally, PaxGene samples are withdrawn from i) all study subjects under 65 years of age and ii) subjects between 65-76 years, if they have detected QRS-time\>110ms in the latest ECG.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Sudden Cardiac Death (SCD) | 15 years | The primary endpoints of the study are sudden cardiac death (SCD) and sudden cardiac arrest (SCA). A SCD is defined as: * a cardiac death within one hour from the beginning of symptoms, * or if the patient is found dead (cardiac causes) but is known to have a good clinical condition within 24 hours and A SCA is defined as: * a hemodynamical collapse by cardiac cause and not influenced by trauma, drowning, respiratory insufficiency, drug overdose, or other non-cardiac cause. * There are no limitations on symptom duration. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Secondary endpoints | 15 years | Secondary endpoint include significant cardiovascular diseases, like detected strokes, myocardial infarctions, revascularization procedures, arrythmias (eg atrial fibrillation). |
Countries
Finland
Contacts
CONTACTJussi Hernesniemi, Professor
CONTACTJuho Tynkkynen, Medical Doctor, Phd
Outcome results
None listed