de ritis ratio (ast/alt) as an independent predictor of poor outcome in patients with acute ischemic stroke
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2017
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Abstract
Fan Gao,1 Chen Chen,2 Jun Lu,1 Jie Zheng,1 Xian-Cang Ma,1,3 Xing-Yun Yuan,2 Kang Huo,2 Jian-Feng Han2 1Clinical Research Center, 2Department of Neurology, 3Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China Purpose: The aspartate transaminase/alanine transaminase ratio (De Ritis ratio, AAR) was reported to be associated with patients’ prognosis in certain diseases recently. The objective of the current study was to determine the association between the AAR at admission and poor outcome at 3 months in acute ischemic stroke (AIS) patients.Patients and methods: This retrospective cohort study included patients who experienced their first-ever AIS between June 2015 and March 2016. The primary outcome measure was a poor outcome at 3 months (modified Rankin Scale score >2). Multivariate logistic regression models were used to assess the relationship between AAR quartiles and clinical outcomes among the AIS patients. Receiver operating characteristic curve analysis was applied to identify the optimal cutoff for AAR in predicting the prognosis of AIS.Results: In terms of the relationship between poor outcome and AAR, the adjusted odds ratio comparing the highest and lowest AAR quartiles was 2.15 (95% confidence interval =1.14–4.05). An AAR of 1.53 was identified as the optimal cutoff. In a prespecified subgroup analysis according to the time from symptom onset to treatment (>24 vs ≤24 hours), there was no significant difference in the effect of AAR >1.53 between the two groups.Conclusion: An increased AAR at admission is significantly associated with a poor outcome at 3 months in AIS patients. Keywords: De Ritis ratio, stroke, prognosis, aspartate transaminase, alanine transaminase, modified Rankin scale, poor outcome
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f2017neuropsychiatricde
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| Authors | ;Gao F;Chen C;Lu J;Zheng J;Ma XC;Yuan XY;Huo K;Han JF |
| Journal | journal of crystal growth |
| Year | 2017 |
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