Mehrnoush Toufan, Jahanbakhsh Samadikhah, Azin Alizadeh Asl, Rasoul Azarfarin, Seyyed Hadi Hakim, Alireza Yaghoubi.
Measurement of coronary sinus blood flow after first anterior myocardial infarction with transthoracic echocardiography and its correlation with wall motion scoring index.
Rawal Med J Jan ;32(2):112-7.

Objectives: The aim of this study was measurment of Coronary Sinus Blood Flow (CSBF) and Coronary Sinus Velocity time Integral (CSVTI) via transthoracic echocardiography (TTE) in patients with acute myocardial infarction (AMI) in association with left ventricular ejection fraction (LVEF), wall motion scoring index (WMSI) and in-hospital mortality. Material and Methods: Twenty patients with anterior AMI and 20 healthy individuals as controls, were studied in 6 months period in 2005 in Madani Heart Center in Tabriz, Iran. All received same drugs for AMI treatment (e.g. fibrinolytic). CSBF, CSVTI, WMSI and tissue Doppler imaging (TDI) data were obtained via TTE and compared between the two groups. Results: Baseline variables were similar between two groups (p>0.05). CSBF in AMI group was 287.8 ± 128 ml/min and 415 ± 127 ml/min in control group (p=0.001). CSVTI was significantly lower in AMI group than control group (11.16 ± 2.85 and 17.56 ± 2.72 mm, respectively; p = 0.003). There was significant correlation between CSBF and LVEF (r = 0.52, p= 0.01), WMSI (r = -0.77, p = 0.0001) and in-hospital mortality (r=0.58 p= 0.03), also between CSVTI and LVEF (r = 0.85, p = 0.0001), WMSI (r = -0.57, p = 0.0009) and in hospital-mortality rate (r = 0.69, p = 0.02). CSBF and CSVTI had good correlation with TDI findings: Em (peak early diastolic velocity in the myocardium) and Sm (peak systolic velocity in the myocardium). Conclusion: Our study demonstrated good correlation between measured CSBF and CSVTI by 2D, Doppler TTE and LVEF, WMSI, in-hospital mortality and also TDI findings; also we found that CSBF and CSVTI were independent predictors in AMI patients. (Rawal Med J 2007;32:112-117).

PakMediNet -Pakistan's largest Database of Pakistani Medical Journals - http://www.pakmedinet.com