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Medical Science Monitor Basic Research


eISSN: 1643-3750

Comparison of TIMI and Gensini score in patients admitted to the emergency department with chest pain, who underwent coronary angiography

Murat Doğan İşcanlı, Nalan Metin Aksu, Banu Evranos, Kudret Aytemir, Mehmet Mahir Özmen

Department of Emergency Medicine, Hacettepe University School of Medicine, Ankara, Turkey

Med Sci Monit 2014; 20:343-349

DOI: 10.12659/MSM.889600

Available online: 2014-03-01

Published: 2014-03-01


Background: In patients admitted to the emergency department with complaints of chest pain and unstable angina pectoris, ST-elevation MI scoring is done according to risk factors used to calculate risks of urgent revascularization, MI, and death within 14 days. For this calculation, the most widely used scoring system is TIMI risk score.
Material and Methods: In this prospective, cross-sectional descriptive study, we evaluated and compared the effectiveness of TIMI and Gensini scores of patients with chest pain who were admitted to Hacettepe University Hospitals Emergency Department between March 2011 and September 2011 and who underwent coronary angiography.
Results: The mean (range) age of 165 patients was 62 (31–88) years. Moderate correlation between TIMI and Gensini scores was detected (mean values of Gensini score for TIMI 1 is 53.50, for TIMI 2 it is 52.09, for TIMI 3 it is 102.77, for TIMI 4 it is 113.70, and for TIMI 5 it is 115.43). There was also a positive correlation between TIMI score and the results.
Conclusions: TIMI risk stratification score is safe and easy to use for rapid assessment of mortality and MI risk, despite its low possibility of predicting the outcome.

Keywords: acute coronary syndrome, Acute Coronary Syndrome - mortality, Myocardial Infarction, Adult, Aged, 80 and over, Angina, Unstable - diagnosis, Chest Pain - pathology, Coronary Angiography, Cross-Sectional Studies, Emergency Service, Hospital - statistics & numerical data, Organ Dysfunction Scores, Prospective Studies, Risk Assessment - statistics & numerical data, Statistics, Nonparametric, Turkey