Echocardiographic epicardial fat thickness and immature granulocyte are novel inflammatory predictors of acute ischemic stroke: a prospective study

ABSTRACT BACKGROUND: Acute ischemic stroke (AIS) is the most common type of stroke. Inflammation is the primary factor in the pathogenesis of atherosclerosis. Use of immature granulocytes (IGs) has been recommended as a new indicator of systemic inflammation. However, data on the association between echocardiographic epicardial fat tissue thickness (EFT) and IGs in patients with AIS are limited. OBJECTIVE: To evaluate the association between the presences of IGs, epicardial fat tissue and AIS. DESIGN AND SETTING: Prospective study in a tertiary-care university hospital in Antalya, Turkey. METHODS: Our study included 53 AIS patients and 41 healthy controls with age and gender compatibility. Blood samples and transthoracic echocardiography of all participants were compared. RESULTS: IG levels were significantly higher in patients with AIS than in controls (0.62 ± 0.36 versus 0.28 ± 0.02, P < 0.001). The mean EFT was 3.74 ± 0.61 mm in the control group and 6.33 ± 1.47 mm in the AIS patient group. EFT was significantly greater in AIS patients than in controls (P < 0.001). For the optimum cut-off value for IG (0.95), the area under the curve (AUC) was determined to be 0.840; sensitivity was determined to be 81.1% and specificity, 92.5%. For the optimum cut-off value for EFT (4.95 mm), the AUC was determined to be 0.953; sensitivity was determined to be 90.6% and specificity, 90%. CONCLUSIONS: IG and echocardiographic EFT are clinical markers that can be used to predict AIS risk.

The changes in resting-state functional connectivity in stroke survivors with depression / 中华物理医学与康复杂志

Objective:To analyze any changes in the functional connectivity between the seed points of the dorsolateral prefrontal cortex (DLPFC) and the whole brain, as well as any fluctuations in the low-frequency amplitude among persons with post-stroke depression (PSD). The aim was to develop correlations among functional imaging results, clinical scales, and inflammation indicators including high-sensitivity C-reactive protein (hs-CRP), interleukin 6 (IL-6), interleukin 2 (IL-2), interleukin 10 (IL-10), interleukin 17a (IL-17a) and interferon-γ (IFN-γ).Methods:Between 2016 and 2020, 55 ischemic stroke survivors were tested. The 28 scoring 7 or more on the Hamilton Depression Scale (HAMD-17) formed the PSD group, while the 27 others formed the control group. Functional magnetic resonance images were collected, and serum inflammation indicators were determined.Results:When seed points in the left DLPFC were used, in the PSD group the frontal cortex (FC) decreased in one cluster, with a voxel of 129mm3 and the MNI coordinates (x=9, y=30, z=33) indicating that the anatomical automatic labeling (AAL) brain regions were the Cingulum_Ant_L, Cingulum_Mid_R and the frontal_Sup_Medial_L. When the right DLPFC was used as the seed point the FC again decreased in one cluster, with voxels of 44mm 3 and the MNI coordinates (x=-27, y=12, z=47) referring to the AAL brain region of the frontal_Mid_L. In the PSD group, the FC value of abnormal brain areas with the R-DLPFC as the seed point was positively correlated with time since stroke. In the control group, the FC value of abnormal brain areas with L-DLPFC as the seed point was negatively correlated with MoCA, while with R-DLPFC as the seed point it was positively correlated with IFN-γ. The FC values of abnormal areas of the brain showed no significant correlation with other clinical scales, inflammation indicators or lesion volume. Conclusion:Abnormal functional connections within the executive control network and between the salience networks may participate in the mechanism of PSD, and may be related to the time since stroke, cognitive functioning, and IFN-γ levels.