Serum Uric Acid Levels and Outcomes After Acute Ischemic Stroke

Wang, Zhongchao; Lin, Yanlin; Liu, Yuxiu; Chen, Ying; Wang, Bin; Li, Changgui; Yan, Shushan; Wang, Yangang; Zhao, Wenjuan

doi:10.1007/s12035-015-9134-1

Cited by 91 publications

(84 citation statements)

References 39 publications

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“…5,[7][8][9] Therefore the role of uric acid as a risk factor for acute ischemic stroke is controversial. Hence the present study was conducted to determine risk factor potential of serum uric acid levels in patients with acute ischemic stroke.…”

Section: Discussionmentioning

confidence: 99%

“…There are only few studies that have concluded higher levels of serum uric acid being neuroprotective in patients with stroke. 5,[7][8][9] An explanation to this comes from the study which concluded that serum uric acid can work as pro-oxidant under certain circumstances, particularly if the levels of other antioxidants like ascorbic acid are low. 31 Various studies have shown that uric acid can result in endothelial dysfunction which can lead to vascular disease.…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of serum uric acid in acute ischaemic stroke

et al. 2017

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Background: The role of serum uric acid as a risk factor for acute ischaemic stroke is controversial and there is little information about it. Present study was done to estimate serum uric acid levels in patients of acute ischaemic stroke and to assess its risk factor potential.Methods: It was a prospective case control study carried out in the department of Medicine at Sri Guru Ramdas Institute of Medical Sciences and Research, Vallah, Sri Amritsar, Punjab, India from January 2015 to July 2016. 50 cases of acute ischaemic stroke were enrolled and were compared with same number of age and sex matched healthy controls. Serum uric acid levels were measured in cases (within 24 hours of stroke evolution). Glasgow coma scale (GCS) score was calculated for cases at time of admission. The results were statistically analysed.Results: Mean serum uric acid level in cases was 6.15±1.91mg/dl whereas it was 5.1±1.4 mg/dl in controls. The difference of serum uric acid levels between cases and controls was statistically significant (p = 0.0054). Patients with poor GCS had higher mean serum uric acid levels as compared to patients with mild or moderate GCS score which was statistically significant(p = 0.0426).Conclusions: Serum uric acid can be used as a marker for increased risk of stroke. Furthermore, serum uric acid can also be used for risk stratification after stroke.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Evaluation of serum uric acid in acute ischaemic stroke

et al. 2017

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“…This recent meta analysis of 8131 acute ischemic stroke patients reports that high uric acid serum level on admission should be regarded as good prognostic marker, suggesting its positive impact on BBB damage. Uric acid as an endogen antioxidant is a promising therapeutic neuroprotective agent [161]. Based on promising animal studies human trials were begun.…”

Section: Uric Acidmentioning

confidence: 99%

Hemorrhagic transformation of ischemic stroke

J¹,

Hortobágyi²

2017

Vascul Dis Ther

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The better understanding of the diverse mechanisms leading to the hemorrhagic transformation of an ischemic stroke is the crucial point in the prevention of this altogether common phenomenon. The different individual risk factors include the anatomical variability of collateral blood supply, age, genetics, body weight, etiology of the occlusion, side of the occluded vessel, renal status, stroke severity, history of high serum glucose or hypertension and hypertension or hyperglycemia at the onset of the stroke, ferritin level, INR, antiplatelet usage or the platelet count etc. All these might contribute to the process of hemorrhagic transformation. These risk factors have been identified by retrospective epidemiological studies and are useful to identify patients who are at high risk for hemorrhagic conversion and help the decision between conservative, thrombolytic or more advanced treatments such as thrombectomy. The modulations of potential molecular targets participating in the process seem to be promising in animal models, but human trials are lacking the breakthrough success so far, both in extending the time frame of the thrombolysis and in replacing the recombinant tissue plasminogen activator (rtPA) as thrombolytic agent.So far, the careful preselection of patients eligible for thrombolytic therapy is the best way to prevent hemorrhagic transformation. The intensive research in the field revealing small but important molecular details are continuously contributing to the better understanding of hemorrhagic transformation with the intention of finding new agents that co-administrated to the rtPA or completely replacing that could decrease the risk of secondary bleeding.The aim of this review is to give comprehensive insight into the process of hemorrhagic transformation of ischemic stroke, starting with basic overview of the penumbra concept and the collateral supply followed by discussion of the recanalisation-reperfusion-hemorrhagic transformation process after vessel occlusion also highlighting the importance of timing and ratio of recanalisation spontaneously and in case of thrombolytic agent administration. We overview the risk factors of hemorrhagic transformation, which may be helpful to physicians to identify high risk patients before rtPA administration. The last part of the work is dealing with future therapeutic possibilities based on the so far revealed molecular mechanisms of hemorrhagic transformation. With the aim to assess the rate and influencing factors on the recanalisation and reperfusion rate 381 patients with large-vessel occlusion was investigated. The patient group involved ones treated with rtPA or treated conservatively. Partial or complete recanalisation was achieved in 121 out of 210 (58%) patients after intravenous rtPA administration. The recanalisation success was more likely if the patient had atrial fibrillation [4] -maybe because cardioembolic clots consists more fibrin and are more likely to reopen by plasmin proteolysis than thrombosis of an atherosclerotic plaq...

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“…Fast and accurate determination is very essential to the early diagnosis of the diseases. For instance, the serum uric acid (UA) level can be used as an indicator for the detection of diseases related to purine metabolism [1][2][3] and leukemia pneumonia [4][5][6]. Various analytical methods are developed for the determination of UA.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Regression with High-Dimensional Space Mapping for Blood Component Spectral Quantitative Analysis

Cao

Zhang

Zhou

2018

Journal of Spectroscopy

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Accurate and fast determination of blood component concentration is very essential for the efficient diagnosis of patients. This paper proposes a nonlinear regression method with high-dimensional space mapping for blood component spectral quantitative analysis. Kernels are introduced to map the input data into high-dimensional space for nonlinear regression. As the most famous kernel, Gaussian kernel is usually adopted by researchers. More kernels need to be studied for each kernel describes its own high-dimensional feature space mapping which affects regression performance. In this paper, eight kernels are used to discuss the influence of different space mapping to the blood component spectral quantitative analysis. Each kernel and corresponding parameters are assessed to build the optimal regression model. The proposed method is conducted on a real blood spectral data obtained from the uric acid determination. Results verify that the prediction errors of proposed models are more precise than the ones obtained by linear models. Support vector regression (SVR) provides better performance than partial least square (PLS) when combined with kernels. The local kernels are recommended according to the blood spectral data features. SVR with inverse multiquadric kernel has the best predictive performance that can be used for blood component spectral quantitative analysis.

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Serum Uric Acid Levels and Outcomes After Acute Ischemic Stroke

Cited by 91 publications

References 39 publications

Evaluation of serum uric acid in acute ischaemic stroke

Evaluation of serum uric acid in acute ischaemic stroke

Hemorrhagic transformation of ischemic stroke

Nonlinear Regression with High-Dimensional Space Mapping for Blood Component Spectral Quantitative Analysis

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