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Predictive value of circulating interleukin-6 and heart-type fatty acid binding protein for three months clinical outcome in acute cerebral infarction: multiple blood markers profiling study

INTRODUCTION: There is no single blood marker for predicting the prognosis in ischemic stroke. A combination of multiple blood markers may enhance the ability to predict long-term outcome following ischemic stroke. METHODS: Blood concentrations of neuronal markers (neuron-specific enolase, visinin-l...

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Detalles Bibliográficos
Autores principales: Park, So-Young, Kim, Jinkwon, Kim, Ok-Joon, Kim, Jin-Kyeoung, Song, Jihwan, Shin, Dong-Ah, Oh, Seung-Hun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3672476/
https://www.ncbi.nlm.nih.gov/pubmed/23497639
http://dx.doi.org/10.1186/cc12564
Descripción
Sumario:INTRODUCTION: There is no single blood marker for predicting the prognosis in ischemic stroke. A combination of multiple blood markers may enhance the ability to predict long-term outcome following ischemic stroke. METHODS: Blood concentrations of neuronal markers (neuron-specific enolase, visinin-like protein 1, heart type fatty acid binding protein (hFABP) and neuroglobin), astroglial markers (S100B and glial fibrillary acidic protein), inflammatory markers (IL-6, TNF-α, and C-reactive protein), blood-brain barrier marker (matrix metalloproteinase 9), and haemostatic markers (D-dimer and PAI-1) were measured within 24 hours after stroke onset. The discrimination and reclassification for favorable and poor outcome were compared after adding individual or a combination of blood markers to the clinical model of stroke outcome. RESULTS: In multivariate analysis, natural log-transformed ((log)) IL-6 (odds ratio (OR): 1.75, 95% CI: 1.25 to 2.25, P = 0.001) and (log)hFABP (OR: 3.23, 95% CI: 1.44 to 7.27, P = 0.005) were independently associated with poor outcome. The addition of a single blood marker to the clinical model did not improve the discriminating ability of the clinical model of stroke outcome. However, the addition of the combination of (log)IL-6 and (log)hFABP to the clinical model showed improved discrimination (area under receiver operating characteristic (AUROC) curve: 0.939 versus 0.910, P = 0.03) and reclassification performance (net reclassification improvement index: 0.18, P = 0.005). CONCLUSIONS: A combination of circulating IL-6 and hFABP level has an additive clinical value for the prediction of stroke outcome.