A NEW PROGNOSTIC SCALE IN ISCHEMIC STROKE: THE SELCUK SCORE

The Turkish Journal of Geriatrics(2024)

Cited 0|Views12
Abstract
Introduction: The incidence of stroke is increasing worldwide; thus, prognostic scales with higher predictive values are becoming more important. We aimed to develop a new, simple and useful prognostic scale with high predictive power to predict stroke prognosis. Materials and Method: The blood samples, imaging data, and clinical parameters of 1697 stroke patients were analyzed retrospectively to evaluate hospital mortality. Binary logistic regression analysis was applied, and appropriate parameters were determined. The Hosmer-Lemeshow test was used for the calibration, and internal validation was applied to the model. Comparisons were performed using the Totaled Health Risks in Vascular Events score and Ling et al. scores (2019), which were evaluated. Results: Level of consciousness, length of hospital stay, albumin level, National Institutes of Health Stroke Scale score, lesion volume, periventricular hypodensity, and age were the most significant preevaluation parameters. The sensitivity and specificity of the model in predicting mortality were 83.6% (78.4–88%) and 81.2% (79.1–83.2%), respectively. The area under the curve for our developed model was 0.884 (0.868–0.899) (p<0.001). This value was higher than the Totaled Health Risks in Vascular Events score of 0.822 (0.803–0.840) and Ling et al. score (2019) of 0.864 (0.847–0.880) in the literature. Conclusions: The novel Selcuk scoring system, has a better predictive power than other well-known scales used to evaluate mortality. Although the system was proven to be accurate by internal validation, it should be tested in different environments. After further clinical validation studies, our model is anticipated to be useful and promising in clinical daily practice. Keywords: Mortality; Prognosis; Stroke; Risk Factor; Geriatrics.
More
Translated text
Key words
Mortality,Prognosis,Stroke,Risk Factor,Geriatrics
PDF
Bibtex
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本研究开发了一种新的缺血性卒中预后评估量表——SELCUK评分,具有较高的预测能力,优于目前已有的评分系统。

方法】:通过回顾性分析1697名卒中患者的血液样本、影像学数据及临床参数,运用二元逻辑回归分析确定相关参数,并使用Hosmer-Lemeshow测试进行校准,对模型进行内部验证。

实验】:使用二元逻辑回归分析确定患者死亡预测的相关参数,并在内部验证中,SELCUK评分模型预测死亡的灵敏度和特异性分别为83.6%和81.2%,AUC值为0.884,均优于Totaled Health Risks in Vascular Events评分和Ling等人于2019年提出的评分。