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1.本文报导4只麻醉开胸狗冠脉闭塞后用血清酶学计算、预测和病理组织法测量心肌梗塞范围的结果。预测法用早期血清磷酸肌酸激酶活力升高数据作最佳配合对数函数计算法。 2.对麻醉开胸冠脉闭塞狗血清磷酸肌酸激酶活力改变作了观察:在6小时内血清CPK几呈线性上升达峰值80%左右;而对照组在6—8小时才明显上升。两组峰值时间都约在12小时,但峰值,升高斜率Kr尤其是两者的乘积有明显差别。与清醒闭胸式对比,主要不同也在峰值以后。所以,此实验模型在峰值前尤其在前6小时,非心源性 CPK干扰很少,可供实验研究用。 3.从两组动物血清CPK升高率和峰值时间乘积对积分函数关系中,发现可从Kr直接求取积分函数。公式为:Kr(4.823)=integral from n=0 to T(f(t)dt),并设计从冠脉闭塞6小时预测血清CPK积分函数公式:■(c)=integral from n=0 to T(f(t)dt),其中C为可求得的常数,(?)的求法是:(?)=Et_b(0.125)/Pt:其中Et_b为冠脉闭塞后6小时血清CPK活力升高值,(?)为平均峰值时间,这样便可用于预测梗塞范围。由这些资料出发,讨论了一项真正撇开Kd,利用Kr计算和预测梗塞范围的设想。
1. This article reports the results of 4 myocardial thoracotomy coronary artery occlusion with serum enzyme calculation, prediction and histopathological measurement of myocardial infarction range. Prediction method with early serum creatine kinase activity increased data for best fit logarithmic function calculation. 2. Anesthetic thoracotomy coronary occlusion in dogs with changes in serum creatine phosphokinase activity was observed: within 6 hours of serum CPK was a few linear increase of about 80%; while the control group rose only 6-8 hours. The peak time of both groups is about 12 hours, but there is a significant difference between the peak value and the rising slope Kr, especially the product of the two. Compared with awake closed chest, the main difference is also after the peak. Therefore, the experimental model before the peak, especially in the first 6 hours, non-cardiac CPK interference for experimental study. From the relationship between the product of the CPK rise rate and the peak time product of two groups of animals on the integral function, it is found that the integral function can be obtained directly from Kr. The formula is: Kr (4.823) = integral from n = 0 to T (f (t) dt), and the formula for predicting serum CPK integral function from 6-hour coronary occlusion is designed: (f (t) dt), where C is a determinable constant, (?) is calculated as: (?) = Et_b (0.125) / Pt: where Et_b is the increase in serum CPK 6 hours after coronary occlusion , (?) Is the average peak time, which can be used to predict the extent of infarction. Based on these data, we discuss a concept that really puts aside Kd and uses Kr to calculate and predict the extent of infarction.