METHODS: We included AIS patients treated by thrombectomy between August 2018 and August 2022 at our institute. We used multivariate logistic regression to construct the prediction model and performed a receiver operating characteristic curve analysis to evaluate the ability of SIRI to predict SAP and constructed a calibration curve to evaluate the prediction accuracy of the model. We evaluated the clinical application value of the nomogram using decision curve analysis.
RESULTS: We included 84 eligible patients with AIS in the analysis, among which 56 (66.7%) had SAP. In the univariate analysis, there were significant differences in sex (p = 0.035), National Institute of Health Stroke Scale score at admission ≥ 20 (p = 0.019) and SIRI (p < 0.001). The results of multivariable logistic analysis showed that the risk of SAP increased with the SIRI value (OR = 1.169, 95% CI = 1.049-1.344, p = 0.014). Age ≥ 60 (OR = 4.076, 95% CI = 1.251-14.841, p = 0.024) was also statistically significant. A nomogram with SIRI showed good prediction accuracy for SAP in AIS patients treated by thrombectomy (C-index value = 0.774).
CONCLUSIONS: SIRI is an independent predictor for SAP in patients with AIS treated by thrombectomy. A high SIRI value may allow for the early identification of patients with AIS treated by thrombectomy at high risk for SAP.
方法:我们纳入了2018年8月至2022年8月在我们研究所接受血栓切除术治疗的AIS患者。我们使用多变量逻辑回归构建预测模型,并进行受试者工作特征曲线分析以评估SIRI预测SAP的能力,并构建校准曲线以评估模型的预测准确性。我们使用决策曲线分析评估了列线图的临床应用价值。
结果:我们在分析中纳入了84名合格的AIS患者,其中56例(66.7%)患有SAP。在单变量分析中,性别差异显著(p=0.035),美国国立卫生研究院入院时卒中量表评分≥20(p=0.019)和SIRI(p<0.001)。多因素Logistic分析结果显示,SAP的发病风险随SIRI值的增加而增加(OR=1.169,95%CI=1.049~1.344,p=0.014)。年龄≥60岁(OR=4.076,95%CI=1.251-14.841,p=0.024)也有统计学意义。SIRI的列线图显示,在接受血栓切除术治疗的AIS患者中,SAP的预测准确性较高(C指数值=0.774)。
结论:SIRI是接受血栓切除术治疗的AIS患者SAP的独立预测因子。较高的SIRI值可以允许早期识别通过血栓切除术治疗的AIS患者的SAP高风险。