Literature DB >> 32781152

Relationship of Serum Uric Acid to Hematoma Volume and Prognosis in Patients with Acute Supratentorial Intracerebral Hemorrhage.

Haoping Huang1, Guanhua Huang2, Jiajie Gu3, Kehua Chen1, Yuejun Huang4, Hongwu Xu5.   

Abstract

BACKGROUND: Oxidative stress and inflammation play important roles in the neuronal injury caused by intracerebral hemorrhage (ICH). Uric acid (UA), an important natural antioxidant, might reduce the neuronal injury caused by ICH. Delineating the relationship between UA and ICH will enhance our understanding of antioxidative mechanisms in recovery from ICH.
METHODS: We conducted a retrospective study of 325 patients with acute supratentorial ICH to investigate the relationship between serum UA levels and hematoma volumes and prognosis. A hematoma volume of ≥30 mL was defined as a large hematoma. An unfavorable outcome was defined as a modified Rankin scale score of 4-6 on day 30.
RESULTS: The serum UA level was significantly lower in the patients with a large hematoma volume (median, 306 μmol/L; 25th to 75th percentile, 243-411 μmol/L) than in those with a small hematoma volume (median, 357 μmol/L; 25th to 75th percentile, 271-442 μmol/L; P = 0.012). Similarly, the unfavorable outcome group had had lower serum UA levels (median, 309 vs. 363 μmol/L; P = 0.009) compared with the favorable outcome group. The results of the multivariate logistic analysis indicated that a lower serum UA level was associated with a larger hematoma volume (odds ratio, 0.996; P = 0.006) and an unfavorable outcome (odds ratio, 0.997; P = 0.030).
CONCLUSIONS: The results from the present study have indicated that in patients with acute supratentorial ICH, a low serum UA level might indicate that the patient has a large hematoma volume and might be a risk factor for a poor day 30 functional prognosis.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Antioxidants; Hematoma volume; Intracerebral hemorrhage; Prognosis; Serum uric acid

Mesh:

Substances:

Year:  2020        PMID: 32781152     DOI: 10.1016/j.wneu.2020.08.018

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  2 in total

1.  Enhancing Robustness of Machine Learning Integration With Routine Laboratory Blood Tests to Predict Inpatient Mortality After Intracerebral Hemorrhage.

Authors:  Wei Chen; Xiangkui Li; Lu Ma; Dong Li
Journal:  Front Neurol       Date:  2022-01-03       Impact factor: 4.003

2.  Prestroke Metformin Use on the 1-Year Prognosis of Intracerebral Hemorrhage Patients with Type 2 Diabetes.

Authors:  Wen-Jun Tu; Qingjia Zeng; Kai Wang; Yu Wang; Bao-Liang Sun; Xianwei Zeng; Qiang Liu
Journal:  Oxid Med Cell Longev       Date:  2021-09-15       Impact factor: 6.543

  2 in total

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