Acute Coronary Syndrome
Conditions
Keywords
acute coronary syndrome, antithrombotic management patterns,quality of life, acute clinical management strategies
Brief summary
RE-ACT is a national, multi-centre, observational, prospective, longitudinal cohort study which will include patients hospitalized for ACS within 24 hours of symptom onset and who have a final diagnosis of ST-segment elevation myocardial infarction (STEMI) or non-ST-segment elevation myocardial infarction (NSTEMI). This study aims to describe the short-term (at the end of the first month after index event) antithrombotic management patterns in a real-life setting for patients hospitalized with an acute coronary syndrome.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Provision of subject informed consent * Patients hospitalized and diagnosed with STEMI or NSTEMI * Hospitalized within 24 hours of onset of symptoms or transferred from another hospital within 24 hours of the onset of symptoms
Exclusion criteria
* STEMI and NSTEMI precipitated by or as a complication of surgery, trauma, or GI bleeding or post-PCI. * STEMI and NSTEMI occurring in patients already hospitalized for other reasons. * Presence of any condition/circumstance which in the opinion of the investigator could significantly limit the complete follow up of the patient (e.g. tourist, non-native speaker or does not understand the local language, psychiatric disturbances).
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Short-term antithrombotic management patterns (AMPs) in a real-life setting for patients hospitalized with an ACS | Baseline | Descriptive statistics will be calculated for this outcome measure using frequency tables (n, frequency and percentage). Antithrombotic management patterns will be grouped taking into account only the different treatment options shown by the descriptive analysis. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Variations in the acute clinical management strategies and AMPs. | Baseline | Descriptive statistics will be calculated for this outcome measure using frequency tables (n, frequency and percentage). |
| Impact of the different AMPs on quality of life at discharge from hospital (using EuroQoL-5D). | Baseline | Descriptive statistics will be calculated for this outcome measure using frequency tables (n, mean, median, standard deviation, minimum and maximum) |
| Impact of the different AMPs on quality of life at the end of the first month after discharge from the hospital (using EuroQoL-5D). | At the end of the first month after index event | Descriptive statistics will be calculated for this outcome measure using frequency tables (n, mean, median, standard deviation, minimum and maximum) |
| Determinants of AMP choices (i.e. patient's characteristics, hospital characteristics, coronary intervention strategies and type of coronary stents used) | Baseline | Descriptive statistics will be calculated for this outcome measure using frequency tables (n, frequency and percentage). |
Countries
Bulgaria