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The U-Shaped Association Between Serum Uric Acid and Red Blood Cell Distribution Width in Acute Ischemic Stroke.

ABSTRACT: Objective: The U-shaped association between serum uric acid (SUA) and the functional outcome has been found in acute ischemic stroke (AIS). However, it is unclear if SUA is associated with red blood cell morphology in AIS. This study aimed to determine the relationship between SUA and red blood cell distribution width (RDW) in patients with AIS. Methods: A cross-sectional study including 438 consecutive patients with AIS was conducted. SUA and RDW, biochemical parameters that reflect the heterogeneity of red blood cell volume, were evaluated on admission. We evaluated the association between SUA and RDW through linear curve fitting analyses and two-piecewise regression analyses. Results: The association between SUA levels and RDW followed a U-shape in all patients. In females, the values of RDW significantly decreased with the increment of SUA (per mg/dl: β, -1.45; 95% CI: -2.15 to -0.75; p < 0.001) in patients with SUA <3.86 mg/dl and increased with the increment of SUA (per mg/dl: β, 0.60; 95% CI: 0.22-0.97; p = 0.002) in patients with SUA ≥ 3.86 mg/dl. Similar results were observed in males with the turning point of SUA = 4.82 mg/dl. After adjusting for potential confounders, a U-shaped association between SUA and RDW was maintained in females, but no statistical significance was maintained in patients with SUA ≥ 4.82 mg/dl in males (p = 0.206). Conclusion: In the sample of patients with AIS, we found a U-shaped relationship between SUA levels and RDW, with the turning point of SUA (3.96 mg/dl in females and 4.82 mg/dl in males) by the threshold effect analysis.

SUBMITTER: Rong N

PROVIDER: S-EPMC8369338 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:IntroductionIt is crucial to identify predictors of mortality in the early stage of acute ischemic stroke for the oldest old (aged ≥80 years) because of their poor overall survival outcomes. However, limited data are available as the oldest old have often been excluded from previous clinical studies. Hence, we aimed to assess the predictive effect of red blood cell distribution width on in-hospital mortality and the dose-response relationship between the red blood cell distribution width and in-hospital mortality in oldest old with acute ischemic stroke.MethodsA retrospective cohort study was performed in two tertiary hospitals. Patients aged ≥80 years admitted due to acute ischemic stroke from January 1, 2014, to January 31, 2020, were included in the study. We divided the eligible patients into 3 groups with tertiles of red blood cell distribution width. Restrictive cubic spline and robust locally weighted regression analysis were performed to test the dose-response relationship between red blood cell distribution width and the in-hospital mortality risk. All-cause in-hospital mortality was the main study outcome.ResultsOverall, 606 patients were included in the final analysis. Red blood cell distribution width was categorized into 3 groups (T1: <13.7%, T2: 13.8-15.7%, and T3: >15.7%). The rationality of this categorization was then validated with restricted cubic spline and robust locally regression smoothing scatterplot, respectively. After adjusting for demographic and clinical features, a higher red blood cell distribution width was independently associated with in-hospital mortality and the hazard ratio (HR) was 3.31 (95% CI 2.47-4.45, p < 0.001). There was a positive dose-response relationship between red blood cell distribution width and mortality risk. Sensitivity analysis identified no conspicuous change in the HR.ConclusionsRed blood cell distribution width may be a valuable and simple measure for predicting in-hospital mortality in oldest old patients with acute ischemic stroke.

Project description:PurposeThe aim of our study was to determine whether delta red blood cell distribution (ΔRDW) improves neurological outcomes in acute ischemic stroke (AIS) patients 2 years after intravenous thrombolysis (IVT) therapy.MethodsAIS patients who received IVT between January 2013 and December 2019 were retrospectively analyzed. In accordance with their mRS scores, the patients were divided into two groups. A binary logistic regression analysis was conducted to determine the influencing factors of adverse functional outcomes. It was decided to evaluate the variables' the predictive ability by using the area under the receiver operating characteristic. For the poor neurological recovery risk model, features were selected using the LASSO regression model. We also developed a predictive model based on logistic regression analysis, which combined the features selected in the minimum absolute contraction and selection operator regression models. An evaluation of the discrimination, calibration, and clinical applicability of the predictive model was conducted using the C index, calibration chart, and decision curve analysis. Internal validation was evaluated via bootstrapping.ResultsBinary logistic regression analysis showed that ΔRDW was an independent influencing factor for poor neurofunctional outcomes. The most appropriate ΔRDW cut-off value for predicting the recovery of poor neurological outcomes was 18.9% (sensitivity: 89.9%, specificity: 78.6%, p < 0.001). The predictive factors included in the nomogram were age, the occurrence of CHD, stroke, AF, ΔRDW, NIHSS score at onset, interval time from onset to IVT, and whether there were indwelling urine catheters and gastric tubes. The model has not only a good discrimination ability, which was indicated by an overall C index of 0.891 (95% confidence interval: 0.829-0.953), but also a considerable calibration ability. Decision curve analysis showed that the nomogram of adverse neurological outcomes recovery was useful in the clinical practice when intervention was implemented above the threshold of 1% possibility of adverse neurological outcomes recovery.ConclusionIn patients with AIS after thrombolysis, the ΔRDW is a potential influencing factor that can be readily used to predict the likelihood of poor neurological function recovery.

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The U-Shaped Association Between Serum Uric Acid and Red Blood Cell Distribution Width in Acute Ischemic Stroke.

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