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Neurological Research

A Journal of Progress in Neurosurgery, Neurology and Neurosciences
Volume 42, 2020 - Issue 11
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Original Research Paper

AST to ALT ratio and risk of hemorrhagic transformation in patients with acute ischemic stroke

ORCID Icon, ORCID Icon, , ORCID Icon, &
Pages 980-986
Received 20 Jan 2020
Accepted 13 Jul 2020
Published online: 22 Jul 2020

ABSTRACT

Background

Hemorrhagic transformation (HT) is a common complication of ischemic stroke. We performed this study to determine whether aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio (AAR) was related to HT, as well as compare the predictive values of AAR, ALT and AST for HT in patients with ischemic stroke.

Methods

We included ischemic stroke patients within 7 days of onset. HT was identified by a follow-up imaging examination. Univariate and multivariate logistic regression models were performed to assess the association between AAR and HT. Net reclassification index (NRI) was calculated to assess the ability of AAR, AST and ALT to reclassify risks of HT.

Results

A total of 2042 (median age: 69 years; 63.2% males) patients were included in this study, of whom 232 (11.4%) were identified as HT. The receiver-operating characteristic curve analysis showed that the optimal cut-off value for AAR to predict HT was 1.22. Higher AAR (≥1.22) was an independent predictor associated with HT (OR 1.44, 95%CI 1.06–1.97, P = 0.02) after adjusting for covariates. A U-shaped dose–effect relationship was found between AAR level and HT in logistic regression model with restricted cubic splines. In addition, adding AAR to a model containing conventional risk factors significantly improved predictive power for HT (NRI: 15.4%, P = 0.027), but not for ALT (NRI: 10.3%, P = 0.141) or AST (NRI: 8.3%, P = 0.237).

Conclusions

Higher AAR was associated with an increased risk of HT after ischemic stroke. In addition, AAR might be a better biomarker for predicting HT than ALT or AST.

Disclosure statement

The authors declare that there is no conflict of interests.

Additional information

Funding

This study was supported by National Natural Science Foundation of China under Grant No. 81974181, the Major International (Regional) Joint Research Project, National Natural Science Foundation of China under Grant No. 81620108009, the National Key Research and Development Program of China, Ministry of Science and Technology of China under Grant No. 2016YFC1300500-505, and the 1·3·5 project for disciplines of excellence, West China Hospital, Sichuan University under Grant No. ZYGD18009.

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