BACKGROUND: Proinflammatory state has been implicated as a pathogenetic mechanism in the progression of intracranial large artery atherosclerosis (ILA). High levels of inflammatory biomarkers in healthy populations and in patients with acute stroke or acute coronary syndrome are known to be associated with subsequent stroke events. This study investigated the relationship between circulating biomarkers measured early after stroke onset and future ILA progression. METHODS: In 48 patients with acute ischemic stroke, high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), IL-18, tumor necrosis factor-α, matrix metalloproteinase (MMP)-2 and MMP-9 were measured within 48 hours after onset. Baseline severity and ILA progression were assessed by serial magnetic resonance angiography (MRA). The median follow-up period for MRA was 3.1 years. Hazard ratio (HR) was calculated using the Cox proportional hazard model adjusted for traditional risk factors, and accuracy of predicted ILA progression was analyzed by receiver operating characteristic (ROC) curve analysis. RESULTS: ILA progression was observed in 6 of 48 patients (12.5%). After adjusting for age, sex, and presence of hypertension, baseline ILA severity score (HR 2.814; 95% confidence interval [CI] 1.172-6.754) and IL-6 (HR 1.215; 95% CI 1.002-1.473) were significantly associated with ILA progression. Area under the ROC curve (AUC) for prediction of ILA progression by traditional risks, baseline ILA severity score and IL-6, was 0.647. When IL-6 was removed from this model, AUC remained at 0.631. CONCLUSIONS: In addition to traditional risk factors and baseline radiologic findings, circulating levels of IL-6 measured soon after stroke onset are associated with future ILA progression.
BACKGROUND: Proinflammatory state has been implicated as a pathogenetic mechanism in the progression of intracranial large artery atherosclerosis (ILA). High levels of inflammatory biomarkers in healthy populations and in patients with acute stroke or acute coronary syndrome are known to be associated with subsequent stroke events. This study investigated the relationship between circulating biomarkers measured early after stroke onset and future ILA progression. METHODS: In 48 patients with acute ischemic stroke, high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), IL-18, tumor necrosis factor-α, matrix metalloproteinase (MMP)-2 and MMP-9 were measured within 48 hours after onset. Baseline severity and ILA progression were assessed by serial magnetic resonance angiography (MRA). The median follow-up period for MRA was 3.1 years. Hazard ratio (HR) was calculated using the Cox proportional hazard model adjusted for traditional risk factors, and accuracy of predicted ILA progression was analyzed by receiver operating characteristic (ROC) curve analysis. RESULTS: ILA progression was observed in 6 of 48 patients (12.5%). After adjusting for age, sex, and presence of hypertension, baseline ILA severity score (HR 2.814; 95% confidence interval [CI] 1.172-6.754) and IL-6 (HR 1.215; 95% CI 1.002-1.473) were significantly associated with ILA progression. Area under the ROC curve (AUC) for prediction of ILA progression by traditional risks, baseline ILA severity score and IL-6, was 0.647. When IL-6 was removed from this model, AUC remained at 0.631. CONCLUSIONS: In addition to traditional risk factors and baseline radiologic findings, circulating levels of IL-6 measured soon after stroke onset are associated with future ILA progression.
Authors: Sepideh Amin-Hanjani; Alfred P See; Xinjian Du; Linda Rose-Finnell; Dilip K Pandey; Yi-Fan Chen; Mitchell S V Elkind; Gregory J Zipfel; David S Liebeskind; Frank L Silver; Scott E Kasner; Philip B Gorelick; Fady T Charbel; Colin P Derdeyn Journal: Stroke Date: 2020-10-09 Impact factor: 7.914
Authors: Raluca Elena Sandu; Ana Maria Buga; Adriana Uzoni; Eugen Bogdan Petcu; Aurel Popa-Wagner Journal: Neural Regen Res Date: 2015-09 Impact factor: 5.135
Authors: Kyeong Joon Kim; Sang Wuk Jeong; Wi Sun Ryu; Dong Eog Kim; Jeffrey L Saver; Jong S Kim; Sun U Kwon Journal: J Clin Neurol Date: 2021-01 Impact factor: 3.077