Inflammatory markers predict stroke associated infection in patients with anterior circulation large vessel occlusive stroke treated with endovascular therapy / 国际脑血管病杂志

ABSTRACT

Objective:To investigate the predictive value of inflammatory markers for the risk of stroke-associated infection (SAI) in patients with anterior circulation large vessel occlusive stroke who received endovascular therapy.Methods:Patients with anterior circulation large vessel occlusive stroke received endovascular treatment in Nanjing First Hospital, Nanjing Medical University from 2016 to 2020 were retrospectively enrolled. The clinical data of SAI group and non-SAI group were compared. Multivariate logistic regression analysis was used to screen the independent influencing factors of SAI, and then the predictive nomogram was established according to these influencing factors to verify its clinical application efficiency. Results:A total of 409 patients were enrolled during the study. Their age was 71.3±11.7 years, and 250 were male (61.1%). The median baseline Naitonal Institutes of Health Stroke Scale (NIHSS) score was 16. One hundred and nineteen patients (29.1%) received intravenous thrombolysis, 376 (91.9%) were successfully recanalized after endovascular therapy, and 293 (71.6%) developed SAI. Univariate analysis showed that age, atrial fibrillation ratio, NIHSS score at admission, fasting blood glucose, triglyceride, high sensitivity C reactive protein (hs-CRP), leukocyte count, neutrophil count, neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) were significantly higher than those in the non-SAI group (all P<0.05). Multivariate logistic regression analysis showed that age, NIHSS score at admission, fasting blood glucose, hs-CRP, leukocyte count, neutrophil count and NLR were the independent influencing factors of SAI ( P<0.05). Receiver operating characteristics curve analysis showed that the predictive value of multiple inflammatory markers (hs-CRP, leukocyte count, neutrophil count and NLR) for SAI was significantly better than that of the single inflammatory marker ( P<0.01). The area under the curve was 0.782 (95% confidence interval 0.719-0.846), and the predictive sensitivity and specificity were 80.6% and 64.5% respectively. Decision curve analysis showed that compared with the traditional indicators, the predictive nomogram based on inflammation related indicators (hs-CRP, leukocyte count and NLR) had a higher net profitability for predicting SAI. Conclusion:The hs-CRP, leukocyte count and NLR can be used to predict the risks of SAI in patients with acute ischemic stroke receiving endovascular therapy.