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Assessment Of Inflammatory Markers IL-6 And Its Relation With Clinical Status In Stroke Patients | 101386
ISSN: 2155-952X
Journal of Biotechnology & Biomaterials
Open Access
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Introduction & Aim: Acute stroke is the most common neurological disease. Stroke is the second leading cause of mortality
worldwide and is a major cause of long-term disability. Also, in occurring of inflammatory cascade, the stroke will be activated
and play the main role in disease separated from them. This study was carried out to investigate the association of serum
TNF-a, and IL-6 levels with clinical outcome in acute stroke.
Methods: The study involved 90 patients. 45 control and 45 patients with the first-time stroke aged 71.2±10.8 years of both
sexes entered the study consecutively. Modified Rankin Scale (mRS) for stroke severity was evaluated on two months. Serum
IL-6 and TNF-a level were measured by enzyme-linked immunosorbent assay (ELISA) on day 1. The association between
serum TNF-alpha and Il-6 levels in stroke patients with control values and stroke outcome was evaluated by T-test (SPSS
software 22). Moreover, statistical significance was defined as P<0.05.
Results: 90 patients with 45 stroke (14 female and 31 male) and 50 control subjects (34 male and 16 female) were included in
the study. Mean serum TNF-α and IL-6 level in the control group and mean serum TNF-α level in the stroke patients group was
(26.57 Pg/ml, 45.30 Pg/ml. 112.55 pg/ml, 140.02). The levels of TNF-alpha and IL-6 in serum were no significantly correlated
with the volume of dysphagia (r=.099; P<0.05 and r=.170; P<0.05). However, the difference of IL- 6 levels among groups was
not significant. In contrast, there was no significant association between inflammatory markers with the severity of dysphagia,
MRs, and serum albumin.
Conclusion: The results of this study demonstrate that increased inflammatory markers increase the severity of dysphagia and
worsening clinical status of patients. Therefore inflammatory markers can be used as reliable prognostic factors for predicting
the prognosis of patients with stroke.