Application of Concomitant Disease Scoring in Acute Cerebral Infarction

Abstract

Background: Acute cerebral infarction (ACI) is a common cerebrovascular disease that seriously endangers human health. It is very important to carry out disease assessments to rescue patients who may suffer from preventable death. Objectives: This study aimed to explore the predictive value of concomitant disease scoring for the prognosis of patients with ACI. Methods: This is a respective observational study. A total of 399 patients with ACI from the Affiliated Hospital of North China University of Science and Technology, who met the inclusion criteria, were enrolled in the present study. The concomitant disease score was assessed within 24 hours after admission, and the risk degree of death was analyzed. Then, the goodness of fit test and validity analysis were carried out, and the best survival/death cutoff value was determined. Results: The area under the receiver operating characteristic (ROC) curve for the concomitant disease score was 0.700, the distinctiveness was relatively good, and the prediction cutoff value was 10 points. Furthermore, the mortality rate of patients with a higher score was significantly higher compared to patients with a lower score. Conclusions: The concomitant disease score has good predictive value for the prognosis of ACI patients, and is an ideal system for evaluating the condition of cerebral infarction.