| 周小龙,李静,文婧,等.全身免疫炎症指数对急性缺血性脑卒中相关性肺炎的预测价值[J].安徽医药,2025,29(5):982-986. |
| 全身免疫炎症指数对急性缺血性脑卒中相关性肺炎的预测价值 |
| The predictive value of systemic immune inflammation index for stroke-associated pneumonia in acute ischemic stroke |
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| DOI：10.3969/j.issn.1009-6469.2025.05.025 |
| 中文关键词: 卒中 缺氧缺血，脑 全身免疫炎症指数 卒中相关性肺炎 预测价值 |
| 英文关键词: Stroke Hypoxia-Ischemia, brain Systemic immune inflammation index Stroke-associated pneumonia Predicted value |
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| 中文摘要: |
| 目的评估全身免疫炎症指数( SII)对急性缺血性脑卒中( AIS)病人发生卒中相关性肺炎( SAP)的预测能力。方法回顾性纳入 2022年 1月至 2023年 7月在川北医学院附属医院神经内科收治的 443例首次发病且在 24 h内入院的 AIS病人；根据住院 7d内是否发生 SAP将病人分为 SAP组和非 SAP组；收集病人的人口统计学资料和实验室相关检查，计算 SII。采用多因素 logistic回归分析确定 SAP的危险因素，使用受试者操作特征曲线( ROC曲线)评估 SII对 SAP发生的预测价值。结果 81例病人( 18.30%)发生 SAP，362例病人( 81.70%)未发生 SAP。SAP组与非 SAP组在年龄、房颤史、慢性阻塞性肺疾病史、意识障碍、吞咽困难、血管内治疗、脑梗死分型、入院 NIHSS评分、住院时间、中性粒细胞、淋巴细胞和 SII方面差异有统计学意义( P<0.05)。多因素 logistic回归分析结果显示，有慢性阻塞性肺疾病史、有吞咽困难、 logSII、年龄和入院 NIHSS评分是 AIS病人发生 SAP的危险因素( P<0.05)。 ROC曲线结果显示， SII预测 SAP发生的曲线下面积( AUC)为 0.74，当 SII的最佳截断点为 948.66时，预测 SAP发生的灵敏度为 58.0%，特异度为 85.9%。结论 SII是 AIS病人发生 SAP的危险因素，对 SAP的发生具有一定预测价值，可为临床医务人员早期预测 SAP的发生提供参考。 |
| 英文摘要: |
| Objective To assess the predictive ability of systemic immunoinflammatory index (SII) for the development of stroke-asso-ciated pneumonia (SAP) in patients with acute ischemic stroke (AIS).Methods This study retrospectively included 443 AIS patientsadmitted to the Department of Neurology of the Affiliated Hospital of North Sichuan Medical College from January 2022 to July 2023with first-ever onset of stroke and who were admitted to the hospital within 24 hours; the patients were divided into SAP and non-SAP groups based on the occurrence or non-occurrence of SAP within 7 days of hospitalization; patient demographics and laboratory-related tests were collected, and the SII was calculated. A multifactorial factor logistic regression analysis was used to determine the risk fac-tors for SAP, and the predictive value of SII for the occurrence of SAP was assessed using the subject's work characteristic curve (ROC).Results SAP occurred in 81 patients (18.30%) and not in 362 patients (81.70%). There were significant differences between the SAP and non-SAP groups in terms of age, history of atrial fibrillation, history of chronic obstructive pulmonary disease, impaired conscious-ness, dysphagia, endovascular therapy, cerebral infarction classification, admission NIHSS score, length of hospital stay, neutrophils,lymphocytes, and SII (P<0.05). The results of multifactorial logistic regression analysis showed that a history of chronic respiratory dis-ease, presence of dysphagia, logSII, age and admission NIHSS score were risk factors for the development of SAP in patients with AIS(P<0.05). The results of the ROC curve showed that the area under the curve (AUC) of SII predicting the development of SAP was 0.74,and when the optimal cut-off point for SII was 948.66, the sensitivity of predicting SAP occurrence was 58.0% and the specificity was 85.9%.Conclusion SII is a risk factor for SAP in patients with AIS and has some predictive value for the occurrence of SAP, whichcan provide a reference for early prediction of the occurrence of SAP for clinical medical personnel. |
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