Van Ruiswyk J, Hartz A, Kuhn E, Krakauer H, Young M, Rimm A
Division of General Internal Medicine, Medical College of Wisconsin, Milwaukee 53226.
Med Decis Making. 1993 Apr-Jun;13(2):152-60. doi: 10.1177/0272989X9301300209.
The objective of this study was to derive and validate a simple scoring system that predicts risk of short-term mortality in elderly patients hospitalized with acute myocardial infarction (AMI) and to compare this derived score with the MedisGroups admission severity score. A myocardial infarction severity score (MISS) was derived from a database of clinical information abstracted using MedisGroups and follow-up information on 30-day mortality status. The MISS was validated and compared with the MedisGroups Admission Severity Groups (ASGs) in a separate database. The derivation set included 2,037 Medicare patients 65 years old or older with confirmed AMI who were randomly selected from patients discharged from hospitals in seven states during 1985. The validation set consisted of 6,323 patients from the 1988 MedisGroups comparative database who were at least 65 years of age and had confirmed AMI. Multivariate logistic regression analysis found a set of nine abnormal patient characteristics that independently predict 30-day mortality. There was good agreement between mortality rates predicted by the logistic model and observed mortality rates in the validation population. This regression model was then simplified to an additive score where eight of the characteristics were weighted as one point and one characteristic was weighted as two points. The MISS is the sum of the points for each patient. In the validation dataset, the 1,373 patients with the lowest MISS scores had a mortality rate of 4.6% and the 400 patients with the highest MISS scores had a mortality rate of 64%.(ABSTRACT TRUNCATED AT 250 WORDS)
本研究的目的是推导并验证一种简单的评分系统,该系统可预测急性心肌梗死(AMI)住院老年患者的短期死亡风险,并将此推导分数与MedisGroups入院严重程度评分进行比较。心肌梗死严重程度评分(MISS)源自使用MedisGroups提取的临床信息数据库以及30天死亡状态的随访信息。MISS在一个单独的数据库中进行了验证,并与MedisGroups入院严重程度分组(ASG)进行了比较。推导数据集包括2037名65岁及以上确诊AMI的医疗保险患者,这些患者于1985年从七个州的医院出院患者中随机选取。验证集由1988年MedisGroups比较数据库中的6323名患者组成,这些患者年龄至少65岁且确诊AMI。多变量逻辑回归分析发现一组九个异常患者特征可独立预测30天死亡率。逻辑模型预测的死亡率与验证人群中观察到的死亡率之间具有良好的一致性。然后将该回归模型简化为一个加法分数,其中八个特征加权为一分,一个特征加权为两分。MISS是每个患者的分数总和。在验证数据集中,MISS分数最低的1373名患者死亡率为4.6%,MISS分数最高的400名患者死亡率为64%。(摘要截断于250字)