The predictive value of acute ischemic stroke associated pneumonia score combined with systemic immune inflammation index in the early clinical outcome of stroke-associated pneumonia
10.3969/j.issn.1008-9691.2024.05.006
- VernacularTitle:急性缺血性卒中相关性肺炎评分结合全身免疫炎症指数对卒中相关性肺炎早期临床结局的预测价值
- Author:
Qun WANG
1
;
Bin LIU
1
;
Qilin LI
1
;
Rui HUANG
1
;
Yuzhao WANG
1
;
Zhihong LUO
1
;
Ying ZHOU
1
Author Information
1. 南方医科大学珠江医院急诊科,广东广州 510282
- Publication Type:Journal Article
- Keywords:
Acute ischemic stroke;
Acute ischemic stroke associated pneumonia score;
Systemic immune inflammation index;
Ischemic stroke-associated pneumonia
- From:
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care
2024;31(5):555-560
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the predictive value of acute ischemic stroke associated pneumonia score (AIS-APS) combined with systemic immune inflammation index (SII) in the early clinical outcome of stroke-associated pneumonia (SAP). Methods A retrospective study method was conducted involving 287 AIS patients who were diagnosed and treated in Zhujiang Hospital,Southern Medical University from January 2022 to December 2023. The patients were divided into SAP group (79 cases) and non-SAP group (208 cases) according to whether SAP occurred. Collect the following data,include the patient's basic information[gender,age,body mass index (BMI),smoking history],previous history[atrial fibrillation,congestive heart failure,chronic obstructive pulmonary disease (COPD),diabetes history],laboratory test results[biochemical indicators:blood glucose,triglycerides (TG),total cholesterol (TC),high-density lipoprotein cholesterol (HDL-C),low-density lipoprotein cholesterol (LDL-C),glycated hemoglobin (HbA1c) and blood indicators:white blood cell count (WBC),neutrophilic count (NEU),lymphocyte count (LYM),platelet count (PLT)],SII,National Institutes of Health Stroke Scale (NIHSS) score at admission,AIS-APS,the difference of the above indexes between the two groups with different prognosis was compared. The risk factors for SAP were screened by Logistic regression analysis,and the predictive value of AIS-APS and SII for SAP was evaluated by receiver operator characteristic curve (ROC curve). Patients were followed up for 90 days to analyze the association between AIS-APS and SII and early outcomes. Use Pearson correlation analysis to analyze the correlation between SII and AIS-APS risk levels and patient prognosis. Results Compared with non-SAP group,patients with atrial fibrillation,congestive heart failure,COPD and proportion of patients with smoking history and TG,WBC,NEU,SII,NIHSS and AIS-APSY were significantly higher in SAP group[atrial fibrillation:13.92％ (11/79) vs. 7.12％ (15/208),congestive heart failure:32.92％ (26/79) vs. 26.44％ (55/208),COPD:34.17％ (27/79) vs. 24.52％ (51/208),smoking history:15.18％ (12/79) vs. 7.69％ (16/208),TG (mmol/L):1.79 (1.31,2.53) vs. 1.40 (1.03,1.99),WBC (×109/L):8.98 (6.78,9.15) vs. 6.02 (4.29,8.17),NEU (×109/L):5.20 (4.03,7.99) vs. 4.69 (3.31,5.53),SII:1145.9 (895.50,1346.3) vs. 545.80 (385.50,639.10),NIHSS score:6.00 (3.00,11.00) vs. 2.00 (1.00,4.75),AIS-APS:28.02 (14.29,33.17) vs. 22.98 (19.78,28.15),all P<0.05],while LYM was significantly decreased[×109/L:1.13 (0.95,2.25) vs. 1.62 (1.29,2.67),P<0.05]. Logistic regression analysis showed that atrial fibrillation,congestive heart failure,COPD,TG,SII and AIS-APS were all independent risk factors for AIS occurrence of SAP[odds ratio (OR) were 1.258,1.040,1.338,1.583,1.631 and 1.407,respectively,95％ confidence interval (95％CI) were 1.093-1.210,1.006-1.109,1.145-1.274,1.205-1.874,1.504-1.759,and 1.267-1.673,respectively;P values were 0.002,0.045,0.037,0.034,0.010,0.018,respectively]. ROC curve analysis shows:SII,AIS-APS and their combined detection had predictive value for the occurrence of SAP. When SII and AIS-APS were combined,area under the curve (AUC) increased to 0.894,the sensitivity increased to 83.67％,and the specificity increased to 88.65％,P=0.012,which was significantly better than SII and AIS-APS alone. At 90 days of follow-up,SII and AIS-APS risk levels were found to be strongly associated with the prognosis of AIS patients,with higher SII and AIS-APS risk levels predicting poor prognosis. Pearson correlation analysis showed that both SII and AIS-APS risk levels were positively correlated with the prognosis of AIS patients (r values were 0.906 and 0.418,respectively,both P<0.05). Conclusion AIS-APS combined with SII can effectively predict the risk of SAP and is closely related to the early clinical outcomes of patients.
