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Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
Predicting functional outcome of ischemic stroke patients in Romania based on plasma CRP, sTNFR-1, D-Dimers, NGAL and
Adina Huţanu1,2, Mihaela Iancu3, Rodica Bălaşa4,5
1Laboratory Medicine, Emergency Clinical County Hospital, Tirgu Mures, Romania. adina.hutanu@umftgm.ro.
Abstract:
In cerebral ischemia, evaluation of multiple biomarkers involved in various pathological pathways is a useful tool in assessing the outcome of the patients even from the early stages of the disease. In this study we investigated the utility of a panel of 5 peripheral biomarkers of inflammatory status, neuronal destruction and secondary fibrinolysis in the acute phase of ischemia, and evaluated the impact of these biomarkers on functional outcome after ischemic stroke. The 5 biomarkers (plasma CRP, D-Dimers, sTNFR-1, NGAL and NSE) were measured using a biochip array technology. Eighty nine patients in Romania were divided into 2 subgroups using the modified Rankin Scale evaluated at 3 months after ischemic stroke; the possible impact of analyzed biomarkers on unfavorable functional outcome was tested by binomial logistic regression. The subgroup with unfavorable outcome had higher concentrations of CRP, NGAL, sTNFR-1 and D-dimers, but CRP and NGAL values were not statistically different between the two subgroups. The univariate logistic regression analysis of plasma biomarkers revealed that CRP, D-Dimers, NGAL, sTNFR-1 were significant predictors of unfavorable clinical outcome. In the case of D-Dimers and sTNFR-1 we noticed an increased discrimination ability (versus baseline clinical model) to classify poor functional outcome with a tendency toward statistical signification. During the acute phase of the ischemic stroke, plasma concentrations of CRP, D-Dimers and sTNFR-1 were elevated in unfavorable outcome patients. D-Dimers and sTNFR-1 were independent predictors of poor outcome at 3 months after ischemic stroke. The biochip array technology offers the possibility to simultaneously measure several parameters involved in multiple pathophysiological pathways, in a small sample volume.
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