ArticleNeuropsychiatric disease and treatment2023
The Predictive Value of Essen and SPI-II on the Risk of 5-Year Recurrence in Chinese Patients with Acute Ischemic Stroke.
Article in Neuropsychiatric disease and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The risk prediction score for stroke recurrence is an important tool for stratifying patients based on the risk of cerebrovascular events and selecting potential preventive treatments. Objective: The study aimed to validate the Essen Stroke Risk Score (ESRS) and Stroke Prognosis Instrument II (SPI-II) for predicting long-term risk of stroke recurrence and combined vascular events in Chinese patients with acute ischemic stroke (AIS). Methods: A total of 876 consecutive patients with non-atrial fibrillation AIS were recruited. The Kaplan-Meier (KM) method was used to estimate the cumulative incidence of stroke recurrence and combined vascular events in different subgroups stratified by the ESRS and SPI-II scores. The area under the receiver operating characteristic curve (AUC) was calculated to evaluate the predictive value of the two scores for stroke recurrence and combined vascular events. Results: The KM estimate for 5-year cumulative incidence of stroke recurrence and combined vascular events was 28.7% (95% confidence interval [CI], 25.4-32.0) and 35.6% (95% CI, 32.3-38.9), respectively, in Chinese AIS patients. The risk of stroke recurrence and combined vascular events were increased significantly with increasing ESRS and SPI-II scores. The ESRS and SPI-II scores had similar predictive accuracy for stroke recurrence (AUC 0.57 [95% CI 0.52-0.64] vs 0.59 [95% CI 0.55-0.64]) and combined vascular events (AUC 0.59 [95% CI 0.55-0.63] vs 0.62 [95% CI 0.58-0.66]) at 5 years. Conclusion: In Chinese patients with AIS, both ESRS and SPI-II scores were able to stratify the risk of 5-year recurrent stroke and combined vascular events. The predictive power of the two scores were modest and a prediction model suitable for Chinese IS populations is needed.
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