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Abstract：
BACKGROUND: The predictive value of systemic inflammatory response index (SIRI) for stroke-associated pneumonia (SAP) risk in patients with acute ischemic stroke (AIS) treated by thrombectomy remains unclear. This study aimed to investigate the predictive value of SIRI for SAP in patients with AIS treated by thrombectomy.
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.
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.
摘要：
背景：全身炎症反应指数（SIRI）对血栓切除术治疗的急性缺血性卒中（AIS）患者卒中相关性肺炎（SAP）风险的预测价值尚不清楚。本研究旨在探讨SIRI对AIS患者血栓切除术后SAP的预测价值。
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。
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。
