scholarly journals Prognostic Significance of Blood Urea Nitrogen in Acute Ischemic Stroke

2018 ◽  
Vol 82 (2) ◽  
pp. 572-578 ◽  
Author(s):  
Shoujiang You ◽  
Danni Zheng ◽  
Chongke Zhong ◽  
Xianhui Wang ◽  
Weiting Tang ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Blood Urea Nitrogen ◽  
Prognostic Significance ◽  
Urea Nitrogen

Association between Blood Urea Nitrogen-to-creatinine Ratio and Three-Month Outcome in Patients with Acute Ischemic Stroke

2019 ◽  
Vol 16 (2) ◽  
pp. 166-172 ◽  
Author(s):  
Linghui Deng ◽  
Changyi Wang ◽  
Shi Qiu ◽  
Haiyang Bian ◽  
Lu Wang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Ischemic Stroke ◽  
Clinical Outcome ◽  
Acute Ischemic Stroke ◽  
Blood Urea Nitrogen ◽  
Univariate Analysis ◽  
Density Lipoprotein ◽  
Hydration Status ◽  
Creatinine Ratio ◽  
Urea Nitrogen

Background: Hydration status significantly affects the clinical outcome of acute ischemic stroke (AIS) patients. Blood urea nitrogen-to-creatinine ratio (BUN/Cr) is a biomarker of hydration status. However, it is not known whether there is a relationship between BUN/Cr and three-month outcome as assessed by the modified Rankin Scale (mRS) score in AIS patients. Methods: AIS patients admitted to West China Hospital from 2012 to 2016 were prospectively and consecutively enrolled and baseline data were collected. Poor clinical outcome was defined as three-month mRS > 2. Univariate and multivariate logistic regression analyses were performed to determine the relationship between BUN/Cr and three-month outcome. Confounding factors were identified by univariate analysis. Stratified logistic regression analysis was performed to identify effect modifiers. Results: A total of 1738 patients were included in the study. BUN/Cr showed a positive correlation with the three-month outcome (OR 1.02, 95% CI 1.00-1.03, p=0.04). However, after adjusting for potential confounders, the correlation was no longer significant (p=0.95). An interaction between BUN/Cr and high-density lipoprotein (HDL) was discovered (p=0.03), with a significant correlation between BUN/Cr and three-month outcome in patients with higher HDL (OR 1.03, 95% CI 1.00-1.07, p=0.04). Conclusion: Elevated BUN/Cr is associated with poor three-month outcome in AIS patients with high HDL levels.

scholarly journals Usefulness of the blood urea nitrogen-to-serum albumin ratio as a prognostic indicator of severity in acute ischemic stroke

2021 ◽  
Keyword(s):  
Ischemic Stroke ◽  
Serum Albumin ◽  
Acute Ischemic Stroke ◽  
Blood Urea Nitrogen ◽  
Area Under The Curve ◽  
Neuroprotective Effects ◽  
Urea Nitrogen ◽  
Albumin Ratio ◽  
Icu Admission ◽  
Significant Difference

Objectives: Acute ischemic stroke (AIS) is one of the most important and major causes of mortality worldwide. In AIS patients, the blood urea nitrogen to creatinine ratio (B/C ratio) was investigated as a dehydrated biomarker in previous studies. However, the B/C ratio can be affected by medications and past medical history. We hypothesized addition of serum albumin, which has been shown to have beneficial neuroprotective effects, could compensate for the disadvantages. In the present study, the BUN to serum albumin ratio (B/A ratio) was evaluated association with AIS patient’s prognosis. Methods: This retrospective cohort study of AIS in our hospital was conducted from February 2018 through June 2020. First, demographic and clinical data were collected and compared with the prevalence of mortality and ICU admission. Then, the B/C ratio and the B/A ratio were calculated. Differences in the performance between the B/C ratio and the B/A ratio for outcome prediction were evaluated based on the area under the curve of the receiver operating characteristic (AUROC). Results: Among the 1,164 patients enrolled in this study, 77 (6.6%) died during hospitalization and 467 (40.1%) were admitted to ICU. Multivariate logistic regression had shown that the B/A ratio was a significant predictor of mortality and admission to ICU. In addition, the B/A ratio was significantly higher in ICU-admitted patients and non-survivors. The AUROC of the B/A ratio was 0.687 and the B/C ratio was 0.533 for predicting mortality; the B/A ratio was statistically superior to the B/C ratio. For predicting ICU admission, the AUROC values of the B/A ratio and the B/C ratio were 0.567 and 0.556, respectively, and a statistically significant difference was not observed. Conclusion: The B/A ratio is a simple and useful tool for predicting the outcomes of ischemic stroke patients.

Favorable outcome of blood urea nitrogen/creatinine–based hydration therapy 3 months after acute ischemic stroke

2016 ◽  
Vol 34 (12) ◽  
pp. 2414-2418 ◽  
Author(s):  
Chung Jen Lin ◽  
Jen Tsung Yang ◽  
Yen Chu Huang ◽  
Yuan Hsiung Tsai ◽  
Ming Hsueh Lee ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Blood Urea Nitrogen ◽  
Favorable Outcome ◽  
Urea Nitrogen ◽  
Hydration Therapy

Prognostic Significance of Fragmented QRS in Patients with Acute Ischemic Stroke

2021 ◽  
Vol 30 (9) ◽  
pp. 105986
Author(s):  
Irfan Sahin ◽  
Orkhan Karimov ◽  
Adem Atici ◽  
Hasan Ali Barman ◽  
Sevil Tugrul ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Prognostic Significance ◽  
Fragmented Qrs

Abstract P343: Relationship of Infarct Volume to Inflammation and Prognostic Significance in Patients With Acute Ischemic Stroke

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Lingling Ding ◽  
Zixiao Li ◽  
Yongjun Wang
Keyword(s):  
Ischemic Stroke ◽  
Deep Learning ◽  
Acute Ischemic Stroke ◽  
Functional Outcome ◽  
Acute Inflammation ◽  
Infarct Volume ◽  
Prognostic Significance ◽  
Stroke Recurrence ◽  
Vascular Events ◽  
Poor Functional Outcome

Background and Purpose: The diffusion weighted imaging (DWI) lesion volumes in acute ischemic stroke (AIS) can be automatically measured using deep learning-based segmentation algorithms. We aim to explore the prognostic significance of artificial intelligence-predicted infarct volume, and the association of markers of acute inflammation with the infarct volume. Methods: 12,598 AIS/TIA patients were included in this analysis. Intarct volume was automatically measured using a U-Net model for acute ischemic stroke lesion segmentation on DWI. Participants were divided into 5 subgroups according to infarct volume. Spearman’s correlations were employed to study the association between infarct volume and markers of acute inflammation. Multivariable logistic regression and Cox proportional hazards model were performed to explore the relationship between infarct volume and the incidence of poor functional outcome (modified Rankin scale score 3-6), stroke recurrence or combined vascular events at 3 months. Results: The U-Net model prediction correlated and agreed well with manual annotation ground truth for infarct volume (r=0.96; P<0.001). There were positive correlations between the infarct volume and markers of acute inflammation (neutrophil [r=0.175; P<0.001], hs-CRP [r=0.180; P<0.001], and IL-6 [r=0.225; P<0.001]). Compared with those without DWI lesions, patients with the largest infarct volume (4th Quartile) were nearly five times more likely to have poor functional outcome (mRS 3-6) (adjusted odds ratio, 4.70; 95% confidence intervals [CI], 3.29-6.72; P for trend<0.001) after adjustment for confounding factors and markers of acute inflammation. The infarct volume category was significantly associated with stroke recurrence (adjusted hazard ratios [HRs], 1.0, 1.43[0.95,2.17], 2.22[1.49,3.29], 2.06[1.40,3.05], 2.26[1.52,3.36]; P for trend<0.001) and combined vascular events(adjusted HRs, 1.0, 1.38[0.92,2.09], 2.25[1.53,3.32], 2.03[1.38,2.98], 2.28[1.54,3.36]; P for trend<0.001). Conclusions: Infarct volume measured automatically by deep learning-based tool was a strong predictor of poor functional outcome as well as stroke recurrence, with the potential for widespread adoption in both research and clinical settings.

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