Chao-Wei Wang1, Peng-Ju Ma2, Yang-Yang Wang2, Ming Yang2, Lin-Lin Su1, Shuo Wang1, Yan-Xia Liu3, Bin Yuan1, Jian-Hua Zhao4. 1. Department of Neurology II, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China; Henan Key Laboratory of Neural Regeneration, Xinxiang, China. 2. Henan Key Laboratory of Neural Regeneration, Xinxiang, China; Department of Neurosurgery I, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China. 3. Department of General Medical, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China. 4. Department of Neurology II, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China; Henan Key Laboratory of Neural Regeneration, Xinxiang, China. Electronic address: dailyboxs245@163.com.
Abstract
OBJECTIVE: To evaluate whether the macrophage migration inhibitory factor (MIF) level in serum of ischemic stroke patients was associated with their clinical severity and early outcome. METHODS: During February 2017-March 2018, consecutive patients admitted to our hospital because of first-ever ischemic stroke were identified. The prognostic value of MIF was set for predicting the outcome of these patients at discharge. The results were compared with existing methods, including National Institutes of Health Stroke Scale (NIHSS) score and validated indicators. RESULTS: 289 patients were enrolled. The serum level of all patients was determined (median: 20.6 ng/ml). At admission, 131 patients (45.3%) were evaluated as minor stroke (NIHSS < 5). When serum level of MIF was increased by each 1 ng/ml, the unadjusted and adjusted risk of moderate-to-high clinical severity was elevated by 5% (OR = 1.05 [95% CI: 1.01-1.09], P = 0.006) and 3% (1.03 [1.00-1.08], P = 0.02), respectively. At discharge, 82 patients (28.4%) had poor functional outcomes. The median serum level of MIF was lower in group with good outcomes than that observed in poor outcomes (19.4[15.8-24.2] vs. 24.0[19.9-29.4] ng/ml; P < 0.001). When serum level of MIF was increased by each 1 ng/ml, the unadjusted and adjusted risk of poor outcomes was elevated by 9% (1.09 [1.05-1.13], P < 0.001) and 6% (1.06 [1.02-1.10], P < 0.01), respectively. CONCLUSIONS: High MIF levels are independently related to the moderate to high clinical severity in ischemic stroke patients, as well as the poor outcome at discharge.
OBJECTIVE: To evaluate whether the macrophage migration inhibitory factor (MIF) level in serum of ischemic strokepatients was associated with their clinical severity and early outcome. METHODS: During February 2017-March 2018, consecutive patients admitted to our hospital because of first-ever ischemic stroke were identified. The prognostic value of MIF was set for predicting the outcome of these patients at discharge. The results were compared with existing methods, including National Institutes of Health Stroke Scale (NIHSS) score and validated indicators. RESULTS: 289 patients were enrolled. The serum level of all patients was determined (median: 20.6 ng/ml). At admission, 131 patients (45.3%) were evaluated as minor stroke (NIHSS < 5). When serum level of MIF was increased by each 1 ng/ml, the unadjusted and adjusted risk of moderate-to-high clinical severity was elevated by 5% (OR = 1.05 [95% CI: 1.01-1.09], P = 0.006) and 3% (1.03 [1.00-1.08], P = 0.02), respectively. At discharge, 82 patients (28.4%) had poor functional outcomes. The median serum level of MIF was lower in group with good outcomes than that observed in poor outcomes (19.4[15.8-24.2] vs. 24.0[19.9-29.4] ng/ml; P < 0.001). When serum level of MIF was increased by each 1 ng/ml, the unadjusted and adjusted risk of poor outcomes was elevated by 9% (1.09 [1.05-1.13], P < 0.001) and 6% (1.06 [1.02-1.10], P < 0.01), respectively. CONCLUSIONS: High MIF levels are independently related to the moderate to high clinical severity in ischemic strokepatients, as well as the poor outcome at discharge.
Authors: M Karen Newell-Rogers; Susannah K Rogers; Richard P Tobin; Sanjib Mukherjee; Lee A Shapiro Journal: Int J Mol Sci Date: 2020-10-09 Impact factor: 5.923