Prediction of Acute Myocardial Infarction in Asian Patients With Acute Ischemic Stroke: The CTRAN Score.

BACKGROUND

Patients with acute ischemic stroke (AIS) are susceptible to acute myocardial infarction (AMI), which would lead to a dramatic increase of in-hospital mortality.

OBJECTIVES

The authors established and validated an easy-used model to stratify the risk of in-hospital AMI among patients with AIS.

METHODS

We consecutively included patients with AIS who were admitted within 7 days from symptom onset in our prospectively maintained database (NCT04487340) from January 2016 to December 2020. In the derivation cohort from 70 centers, we developed a score to predict in-hospital AMI by integrating the bedside-accessible predictors identified via multivariable logistic regression. Then in the validation cohort from 22 centers, we externally evaluated the performance of this score.

RESULTS

Overall, 96,367 patients were included. In-hospital AMI occurred in 392 (0.41%) patients. The final model, named CTRAN, incorporated 5 predictors including the history of coronary heart disease, malignant tumor, renal insufficiency, age, and baseline National Institutes of Health Stroke Scale score. The CTRAN score was confirmed in the validation cohort using receiver operating characteristic curve, which yielded an area under the curve of 0.758 (95% CI: 0.718-0.798).

CONCLUSIONS

The CTRAN score could be a good tool for clinicians to identify patients with AIS at high in-hospital AMI risk.