A Comparison of Mortality Prognostic Scores in Ischemic Stroke Patients

Jie Xu1, Yongli Tao2, Xuewei Xie1

  • 1Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China; Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China; Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.

Insights

Four stroke mortality scores accurately predict outcomes in Chinese patients. However, their predictive accuracy decreases for patients receiving thrombolysis therapy.

Area of Science:

  • Neurology
  • Public Health
  • Biostatistics

Background:

  • Stroke mortality prediction is crucial for patient management.
  • Several new stroke mortality scores have been developed.
  • Validation in diverse populations is essential.

Purpose of the Study:

  • To compare the predictive accuracy of four recent stroke mortality scores in the Chinese population.
  • To evaluate the Get With The Guidelines-Stroke risk score, iScore (30-day and 1-year), and PLAN score.
  • To assess performance for in-hospital, 30-day, and 1-year mortality.

Main Methods:

  • Analysis of 9698 hospitalized acute ischemic stroke patients from the China National Stroke Registry.
  • Calculation of Area Under the Receiver Operating Characteristic Curve (AUC) for each score.
  • Comparison of AUC values using the z-test.

Main Results:

  • All four scores demonstrated predictive accuracy (AUC > 0.75) for short-term and long-term mortality.
  • No significant differences were found among the AUC values of the four scores.
  • A notable reduction in AUC values was observed for patients receiving thrombolysis therapy.

Conclusions:

  • The four evaluated stroke mortality scores are valuable for predicting mortality in Chinese ischemic stroke patients.
  • Caution is advised when applying these scores to patients who have received thrombolysis therapy.
  • Further research may be needed to refine scores for specific treatment groups.
Abstract