Litcius/Paper detail

The value of diffusion weighted imaging-alberta stroke program early CT score in predicting stroke-associated pneumonia in patients with acute cerebral infarction: a retrospective study

Dong Zhao, Jing Zhu, Qiang Cai, Feifei Zeng, Xiujuan Fu, Ke Hu

2022PeerJ11 citationsDOIOpen Access PDF

Abstract

Background 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. Methods 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. Results 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 ( P < 0.01). In the multivariable logistic regression analysis, the DWI-ASPECTS (adjusted odds ratio [aOR] = 1.438; 95% CI [1.158–1.787]; P < 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. Conclusions 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.

Topics & Concepts

MedicineLogistic regressionStroke (engine)Internal medicineConfoundingOdds ratioRetrospective cohort studyAtrial fibrillationDiffusion MRICerebral infarctionPneumoniaCardiologyRadiologyMagnetic resonance imagingIschemiaEngineeringMechanical engineeringAcute Ischemic Stroke ManagementIntracerebral and Subarachnoid Hemorrhage ResearchDysphagia Assessment and Management