Prognostic significance of plasma visfatin levels in patients with ischemic stroke. 2013

Cong-Guo Yin, and Lin Jiang, and Bo Tang, and Hao Zhang, and Qi Qian, and Guo-Zhong Niu
Department of Neurology, The First Hangzhou Municipal People's Hospital, Nanjing Medical University, Hangzhou 310006, China.

Plasma visfatin concentration has been enhanced in ischemic stroke. The aim of the current investigation was to test whether determination of visfatin in plasma is associated with 6-month clinical outcomes including mortality and unfavorable outcome (modified Rankin Scale score>2) in the patients with ischemic stroke. Between July 2009 and January 2012, plasma visfatin concentrations of 186 patients and 100 healthy individuals were quantified by enzyme-linked immunosorbent assay. Plasma visfatin concentrations were higher in patients than in healthy individuals (108.5±41.1 ng/mL vs. 13.8±3.9 ng/mL, P<0.001). A logistic regression analysis selected plasma visfatin concentration as an independent predictor for 6-month clinical outcomes (both P<0.01). Using receiver operating characteristic curve analysis, plasma visfatin concentration was found to predict 6-month clinical outcomes with the high predictive performance. The predictive value of visfatin was in the range of National Institutes of Health Stroke Scale score (both P>0.05). Combined use of visfatin and National Institutes of Health Stroke Scale score did not improve the predictive significance (both P>0.05). Thus, visfatin may help in the prediction of long-term clinical outcomes in patients with ischemic stroke.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D002545 Brain Ischemia Localized reduction of blood flow to brain tissue due to arterial obstruction or systemic hypoperfusion. This frequently occurs in conjunction with brain hypoxia (HYPOXIA, BRAIN). Prolonged ischemia is associated with BRAIN INFARCTION. Cerebral Ischemia,Ischemic Encephalopathy,Encephalopathy, Ischemic,Ischemia, Cerebral,Brain Ischemias,Cerebral Ischemias,Ischemia, Brain,Ischemias, Cerebral,Ischemic Encephalopathies
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D012372 ROC Curve A graphic means for assessing the ability of a screening test to discriminate between healthy and diseased persons; may also be used in other studies, e.g., distinguishing stimuli responses as to a faint stimuli or nonstimuli. ROC Analysis,Receiver Operating Characteristic,Analysis, ROC,Analyses, ROC,Characteristic, Receiver Operating,Characteristics, Receiver Operating,Curve, ROC,Curves, ROC,ROC Analyses,ROC Curves,Receiver Operating Characteristics
D016015 Logistic Models Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor. Logistic Regression,Logit Models,Models, Logistic,Logistic Model,Logistic Regressions,Logit Model,Model, Logistic,Model, Logit,Models, Logit,Regression, Logistic,Regressions, Logistic

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