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Abstract Safe and rapid diagnosis of AMI is of utmost importance to reduce mortality in patients presenting with this life-threatening condition. Patients with acute AMI may present with typical ischemic chest pain or with dyspnea, nausea, unexplained weakness or a combination of these symptoms. If an acute coronary syndrome is suspected, a 12-lead ECG is obtained and evaluated for ischemic changes and blood is sent for cardiac markers testing. On the basis of the history, ECG and blood testings rapid diagnostic triage is performed, fast triaging of patients is beneficial for the timely initiation of treatment, including medical and interventional therapy. The Universal Definition of Myocardial Infarction has strengthened the role of biomarkers of myocardial necrosis, positioning cTns as the preferred biomarker for the diagnosis of MI. The 99th percentile URL, established in a healthy reference population, has been designated as the decision threshold for the diagnosis of MI. To date, the selection criteria for a presumably healthy population for the determination of the 99th percentile URL for cTnI have not been thoroughly defined. The aim of the present study was to select normal population to establish the 99th percentile cutoffs for sensitive cardiac troponin I assay in Egyptian population. This study was conducted on sample size which was calculated by community medicine department of faculty of medicine of Alexandria, participants are divided into two groups[group A (No CVRF) and group B (≥1 CVRF)], the first group included 200 participants had no cardiovascular risk factors, the second group included 200 participants with cardiovascular risk factors including obesity, diabetes mellitus, hypertension, dyslipidemia, smoking, positive family history of AMI in first degree relatives and low estimated glomerular filtration rate. These two groups was used to establish cTnI 99th percentile cut offs which was implied later on a third group of 100 patients suspected as myocardial infarction to determine the impact of these different cut offs and to assess their sensitivity and specificity in diagnosis of MI. |