Department of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, China.
Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
PeerJ. 2022 Jan 19;10:e12789. doi: 10.7717/peerj.12789. eCollection 2022.
In this study, we aimed to investigate the value of Diffusion-Weighted Imaging-Alberta Stroke Program Early CT Score (DWI-ASPECTS) in predicting stroke-associated pneumonia (SAP) in patients with acute ischemic stroke.
A total of 291 patients who suffered acute cerebral infarction for the first time were included in this retrospective study. DWI-ASPECTS was assessed and clinical data were collected in order to find the risk factors of SAP, and a logistic regression model was used to investigate the effect of predicting SAP. Furthermore, correlation analysis was used to explore the relationship between DWI-ASPECTS and the immume status of the body.
Among the 291 patients, 74 (25.4%) subjects were diagnosed with SAP. Compared with non-SAP, the patients with SAP were older and had a higher rate of atrial fibrillation (AF), National Institutes of Health Stroke Scale (NIHSS) scores. The SAP group also had a significantly lower DWI-ASPECTS than did the non-SAP group ( < 0.01). In the multivariable logistic regression analysis, the DWI-ASPECTS (adjusted odds ratio [aOR] = 1.438; 95% CI [1.158-1.787]; < 0.01) remained significant after adjusting for confounders. What's more, the predictive ability of DWI-ASPECTS (AUC = 0.743 >0.7, 95% CI [0.678-0.800]) had acceptable discriminatory abilities. By the correlation analysis, DWI-ASPECTS was found to be negatively correlated with the count of white blood cell, neutrophils, monocytes, neutrophil-to-monocyte ratio and neutrophil-to-lymphocyte ratio, and positively correlated with the count of lymphocytes.
DWI-ASPECTS grades could predict stroke-associated pneumonia for patients with acute ischemic stroke, and combining grade with age, AF, or NIHSS could predict SAP events more accurately.
本研究旨在探讨弥散加权成像-阿尔伯塔卒中项目早期 CT 评分(DWI-ASPECTS)在预测急性缺血性脑卒中患者卒中相关性肺炎(SAP)中的价值。
回顾性分析 291 例首次发生急性脑梗死的患者,评估 DWI-ASPECTS 并收集临床资料,寻找 SAP 的危险因素,采用 Logistic 回归模型探讨预测 SAP 的效果,同时采用相关性分析探讨 DWI-ASPECTS 与机体免疫状态的关系。
291 例患者中,74 例(25.4%)诊断为 SAP。与非 SAP 组比较,SAP 组患者年龄较大,心房颤动(AF)、美国国立卫生研究院卒中量表(NIHSS)评分发生率较高,DWI-ASPECTS 评分较低,差异均有统计学意义(均<0.01)。多因素 Logistic 回归分析显示,校正混杂因素后,DWI-ASPECTS(调整优势比[aOR]=1.438;95%CI[1.1581.787];<0.01)仍是 SAP 的独立危险因素。此外,DWI-ASPECTS(AUC=0.743>0.7,95%CI[0.6780.800])对 SAP 有较好的预测效能。相关性分析显示,DWI-ASPECTS 与白细胞、中性粒细胞、单核细胞、中性粒细胞与单核细胞比值、中性粒细胞与淋巴细胞比值呈负相关,与淋巴细胞计数呈正相关。
DWI-ASPECTS 分级可预测急性缺血性脑卒中患者 SAP,与年龄、AF 或 NIHSS 联合分级可更准确地预测 SAP 事件。