Mezey B, Juricskay I, Tóth K, Simor T, Jávor T
Pécsi Orvostudományi Egyetem, I. sz. Belgyógyászati Klinika.
Orv Hetil. 1990 Apr 1;131(13):683-6, 689.
Authors analysed the possibilities of in-hospital prognosis made of patients with acute myocardial infarction by using information obtained during admission. Eighty eight patients with transmural myocardial infarction (not older than 70 years and the prehospital delay shorter than 24 hours) were analysed. On the basis of the hospital events they were divided into 3 classes: (a) uneventful (16), (b) complicated (55) and (c) lethal (17). The initial 26 data available in the first hour were analysed by PRIMA pattern recognition method adapted to ROSY--80B microcomputer. 3 days later the 3 class distances of the initial PRIMA analysis together with the 21 new data of the remaining 79 patients were analysed again. The third analysis (66 patients) was made between the 4th and 6th days after a successful mobilization. The last analysis (44 patients) was performed just before the discharge of the patients, who were able to carry out the low-level and submaximal ergometric tests. The average effectiveness of the method gradually improved during hospitalization from 80% to 91%. The recognition ability of each class respectively was 57% for (a) uneventful, 82% for (b) complicated, and 95% for (c) lethal initially, and it has improved finally: 82% for uneventful, 94% for complicated cases.
作者通过利用入院期间获取的信息，分析了急性心肌梗死患者院内预后的可能性。对88例透壁性心肌梗死患者（年龄不超过70岁，院前延误时间短于24小时）进行了分析。根据医院发生的事件，将他们分为3组：（a）病情平稳组（16例），（b）并发症组（55例）和（c）死亡组（17例）。利用适用于ROSY - 80B微型计算机的PRIMA模式识别方法，分析了最初1小时内获得的26项数据。3天后，再次分析了最初PRIMA分析的3组距离以及其余79例患者的21项新数据。第三次分析（66例患者）在成功动员后的第4天至第6天之间进行。最后一次分析（44例患者）在能够进行低水平和次极量运动测试的患者出院前进行。在住院期间，该方法的平均有效性从80%逐渐提高到91%。最初，每组的识别能力分别为：（a）病情平稳组57%，（b）并发症组82%，（c）死亡组95%，最终有所提高：病情平稳组为82%，并发症组为94%。
