[Thrombolysis in myocardial infarction-outcome optimization methods].
Early reperfusion in acute myocardial infarction (AMI) has been shown to reduce the extent of myocardial necrosis and to improve short and long term prognosis. Gender, smoking, age and site of infarct location may be regarded as prognostic factors for the outcome of AMI and of thrombolytic therapy with streptokinase (STK). The aim of this study was to identify factors, which are related to the results of thrombolytic therapy by STK in AMI. 156 patients (122 males and 34 females) treated with STK were retrospectively analyzed: they were subdivided into 3 groups according to the presumed success of thrombolytic therapy based on the accepted clinical and angiographic TIMI flow criteria. Group 1 = successful (88 patients), group 2 = probably successful (20 patients) and group 3 = failed thrombolysis (48 patients). Multiple regression analysis showed that Killip class (p = 0.0005), time from pain onset to thrombolysis initiation (p = 0.02) and the time of the day in which thrombolysis began (p = 0.037) are independent major predictive factors for successful thrombolytic therapy by STK in AMI. Gender, age, smoking and some risk factors are not of similar predictive power. These results may guide us in the optimization of thrombolytic therapy by STK in AMI, different dose regimens for different times of day and probably preference for primary PTCA in the early morning hours.
Kharash
L M
LM
Goldhammer
E I
EI
Abinader
E I
EI
D000368:Aged; D017023:Coronary Angiography; D005260:Female; D005343:Fibrinolytic Agents / Q000627:therapeutic use*; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000000981:diagnostic imaging / Q000188:drug therapy*; D012189:Retrospective Studies; D012307:Risk Factors; D013300:Streptokinase / Q000627:therapeutic use*; D015912:Thrombolytic Therapy; D016896:Treatment Outcome
D005343:Fibrinolytic Agents; D013300:Streptokinase
Tromboliticheskaia terapia infarcta miokarda-podkhody k optimizatsii.