Registry of Acute Myocardial Infarction Paid Clinical Trial in Chicago

01/03/2024
$4,000 - $4,500
Participation Deadline: 05/19/2026
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Description

The Registry of Acute Myocardial Infarction (RAMI) aims at regular and centralized acquiring and processing standard information about verified and suspected cases of acute myocardial infarction (AMI), monitoring of AMI cases, and establishing AMI diagnosis based on standard diagnostic criteria by doctors involved in the registry. The RAMI obtains data from all medical institutions, which could potentially document any cases of suspected AMI.

The study implements the methodology recommended by World Health Organization (WHO) using unified diagnostic criteria (clinical, biochemical, electrocardiographic, and autopsy) for acute myocardial infarction (AMI). All primary information is recorded in a special primary registration card, which has been subject to updates in accordance with the requirements. All accumulated data is stored in RAMI analytic database. The database is designed and developed specifically for recording, accumulating, archiving, and statistical processing of collected data. It is equipped with a web user interface, a universal environment for generating consolidated distribution reporting, and the ability to import analytical data into expert analytical systems produced by other manufacturers. Data storage is implemented using the Oracle database management system. The information and analytical system of RAMI has passed the procedure of state registration of the database (Garganeeva A.A., Okrugin S.A., Parshin D.A. Certificate of state registration of the database “Register of Acute Myocardial Infarction” No. 2010620342 dated June 22, 2010). Each reported case after the first 28 days from disease onset is assigned a specific diagnostic category (definite myocardial infarction, possible myocardial infarction, unconfirmed myocardial infarction, and insufficient data). At the end of each year of study, RAMI team calculates and analyzes the main epidemiological parameters, characterizing the disease distribution in the studied population (the city of Tomsk, Russian Federation) including morbidity, mortality, and lethality (general, in-hospital, and pre-hospital).

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