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

So Young Park, Jinkwon Kim, Ok Joon Kim, Jin Kyeoung Kim, Jihwan Song, Dong Ah Shin, Seung Hun Oh

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

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 loghFABP (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 logIL-6 and loghFABP 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.

Original languageEnglish
Article numberR45
JournalCritical Care
Volume17
Issue number2
DOIs
Publication statusPublished - 2013 Mar 16

Bibliographical note

Funding Information:
We are grateful to Yu-Kyung Kim, Ji-Ye Song, and Ju-Yeon Jeong (Researchers, The Institute for Clinical Research, CHA Bundang Medical Center) for their technical support. This study was supported by a grant of Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2011-0021344) and the Korea Healthcare technology R&D project, Ministry for Health, Welfare & Family Affairs, Republic of Korea (A111016).

All Science Journal Classification (ASJC) codes

  • Critical Care and Intensive Care Medicine

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