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The Relationship Between Serum YKL-40 Levels on Admission and Stroke-Associated Pneumonia in Patients with Acute Ischemic Stroke

BACKGROUND: Stroke-associated pneumonia (SAP) is a standout complication after acute ischemic stroke (AIS), with a prevalence of 7–38%. The aim of this prospective study was to investigate the relationship between serum YKL-40 levels at admission and SAP. METHODS: Between August 2020 and February 20...

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Detalles Bibliográficos
Autores principales: Shi, Guomei, Chen, Wenxiu, Gong, Pengyu, Wang, Meng, Zhou, Junshan, Wang, Xiaorong, Guo, Minwang, Lu, Jingye, Li, Yan, Feng, Hongxuan, Fu, Xuetao, Zhou, Rujuan, Xue, Shouru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8422031/
https://www.ncbi.nlm.nih.gov/pubmed/34511972
http://dx.doi.org/10.2147/JIR.S329612
Descripción
Sumario:BACKGROUND: Stroke-associated pneumonia (SAP) is a standout complication after acute ischemic stroke (AIS), with a prevalence of 7–38%. The aim of this prospective study was to investigate the relationship between serum YKL-40 levels at admission and SAP. METHODS: Between August 2020 and February 2021, consecutive AIS patients from two centers were enrolled prospectively. Serum YKL-40 concentrations were measured via enzyme-linked immunosorbent assay. We performed logistic regression analyses to explore the relationship between YKL-40 and SAP. Receiver operating characteristic curve was also used to assess the predictive ability of YKL-40 in predicting SAP. RESULTS: Ultimately, a total of 511 AIS patients were recruited. Multivariate logistic regression analysis showed that YKL-40 was independently related to SAP, whether as a continuous variable or as quartiles (P=0.001). The area under curve of YKL-40 to predict SAP was 0.765. The optimal cutoff value of YKL-40 as a predictor of SAP was determined to be 206.4 ng/mL, where the sensitivity was 63.1% and the specificity was 82.0%. CONCLUSION: Our study demonstrated that YKL-40 might be considered as a useful biomarker to predict SAP in AIS patients.