Guoji laonian yixue zazhi (May 2024)

Predictive Value of Multiple Inflammatory Markers in Stroke-associated Pneumonia

  • Tianlu Wang,
  • Ran Wei,
  • Jing Mao,
  • Lei Tang

DOI
https://doi.org/10.3969/j.issn.1674-7593.2024.03.011
Journal volume & issue
Vol. 45, no. 3
pp. 308 – 313

Abstract

Read online

Objective To evaluate the predictive value of multiple inflammatory factors in patients with acute ischemic stroke(AIS) complicated by stroke-associated pneumonia(SAP). Methods A total of 236 AIS patients hospitalized in the First Affiliated Hospital of Harbin Medical University from January 2020 to June 2023 were retrospectively selected and divided into 56(23.73%) in the SAP group and 180(76.27%) in the non-SAP group according to whether SAP occurred within 7 days of hospitalization.The clinical data of AIS patients were collected by electronic medical record system.Multivariate logistic regression was used to screen the independent risk factors of secondary SAP in elderly AIS patients.ROC curve was used to evaluate the clinical value of each inflammatory index in predicting SAP. Results Compared with the non-SAP group,the proportions of age>75 years,diabetes mellitus,and dysphagia as well as the neutrophil to lymphocyte ratio(NLR),systemic immune-inflammation index(SII),C-reactive protein(CRP),procalcitonin(PCT),and interleukin-6(IL-6) were elevated in the SAP group,and the differences were statistically significant(P75 years,dysphagia,NLR,SII,and CRP were independent risk factors for the development of SAP in elderly patients with AIS(P<0.05).ROC curves showed that the AUC of NLR for predicting SAP in elderly AIS patients was 0.833(95%CI:0.757-0.908),with a sensitivity of 64.29% and a specificity of 99.44%,and the prediction performance was better than other indicators. Conclusion NLR,SII,and CRP were all associated with the occurrence of SAP in elderly AIS patients and predicted the risk of SAP to a certain extent,among which NLR had the highest efficacy in predicting the occurrence of SAP in elderly AIS patients,which can help to assist the clinic in the early screening of high-risk populations and the timely adoption of intervention measures.

Keywords