The Value of the Score for the Targeting of Atrial Fibrillation (STAF) Screening in Acute Stroke Patients.

BACKGROUND AND PURPOSE: Recently, the score for the targeting of atrial fibrillation (STAF) was introduced to identify the risk of atrial fibrillation (AF) in stroke patients. In this study, we aim to evaluate the usefulness of the STAF score for AF screening in acute stroke patients. METHODS: Patients with acute ischemic stroke who were admitted to our stroke unit were prospectively enrolled from March 2011 to March 2013. Baseline National Institutes of Health Stroke Scale (NIHSS), left atrial dilatation, and vascular etiology were assessed to calculate the STAF score. Logistic regression analysis was used to examine the relationship between AF and STAF factors. Univariate analysis of AF and age, history of coronary heart disease and rheumatic heart disease, NIHSS, left atrial dilatation, and vascular etiology was performed. RESULTS: A total of 472 patients were enrolled in our analysis. AF was documented in 78 (16.53%) patients, of which 50% were paroxysmal. Multivariable analysis demonstrated that age, NIHSS, left atrial dilatation, and the absence of vascular etiology can each function as independent predictors for AF. In addition, all AF patients with a STAF ≥5 show a sensitivity of 76.92% and a specificity of 78.68%. The area under the receiver operating characteristic for all AF patients was .842 versus .763 for the paroxysmal AF (pAF) patients. In addition, a sensitivity of 81% (95% CI 73-92) and a ROC of .829 were for new-AF. CONCLUSIONS: The value of the STAF system for predicting the risk of pAF and new-AF in stroke patients is relatively limited.

Potential role of serum hypoxia-inducible factor 1alpha as a biomarker of delayed cerebral ischemia and poor clinical outcome after human aneurysmal subarachnoid hemorrhage: A prospective, longitudinal, multicenter, and observational study.

Objective: Hypoxia-inducible factor 1alpha (HIF-1α) functions as a crucial transcriptional mediator in hypoxic and ischemic brain response. We endeavored to assess the prognostic significance of serum HIF-1α in human aneurysmal subarachnoid hemorrhage (aSAH). Methods: In this prospective, longitudinal, multicenter, and observational study of 257 patients with aSAH and 100 healthy controls, serum HIF-1α levels were quantified. Univariate analyses, followed by multivariate analyses, were performed to discern the relationship between serum HIF-1α levels and severity and delayed cerebral ischemia (DCI) plus poststroke 6-month poor outcome [extended Glasgow outcome scale (GOSE) scores of 1-4]. Predictive efficiency was determined under the receiver operating characteristic (ROC) curve. Results: There were significantly increased serum HIF-lα levels after aSAH, in comparison to controls (median, 288.0 vs. 102.6 pg/ml; P < 0.001). Serum HIF-lα levels were independently correlated with Hunt-Hess scores [ß, 78.376; 95% confidence interval (CI): 56.446-100.305; P = 0.001] and modified Fisher scores (ß, 52.037; 95% CI: 23.461-80.614; P = 0.002). Serum HIF-lα levels displayed significant efficiency for discriminating DCI risk [area under ROC curve (AUC), 0.751; 95% CI: 0.687-0.815; P < 0.001] and poor outcome (AUC, 0.791; 95% CI: 0.736-0.846; P < 0.001). Using the Youden method, serum HIF-1α levels >229.3 pg/ml predicted the development of DCI with 92.3% sensitivity and 48.4% specificity and serum HIF-1α levels >384.0 pg/ml differentiated the risk of a poor prognosis with 71.4% sensitivity and 81.1% specificity. Serum HIF-1α levels >229.3 pg/ml were independently predictive of DCI [odds ratio (OR), 3.061; 95% CI: 1.045-8.965; P = 0.041] and serum HIF-1α levels >384.0 pg/ml were independently associated with a poor outcome (OR, 2.907; 95% CI: 1.403-6.024; P = 0.004). The DCI predictive ability of their combination was significantly superior to those of Hunt-Hess scores (AUC, 0.800; 95% CI: 0.745-0.855; P = 0.039) and modified Fisher scores (AUC, 0.784; 95% CI: 0.726-0.843; P = 0.004). The prognostic predictive ability of their combination substantially exceeded those of Hunt-Hess scores (AUC, 0.839; 95% CI: 0.791-0.886; P < 0.001) and modified Fisher scores (AUC, 0.844; 95% CI: 0.799-0.890; P < 0.001). Conclusion: Elevated serum HIF-lα levels after aSAH, in independent correlation with stroke severity, were independently associated with DCI and 6-month poor outcome, substantializing serum HIF-lα as a potential prognostic biomarker of aSAH.

Serum netrin-1 concentrations are associated with clinical outcome in acute intracerebral hemorrhage.

BACKGROUND: Netrin-1 is an axon guidance protein, which can inhibit inflammatory reaction and stabilize the blood-brain barrier to protect against experimental brain injury. We evaluated the concentration of netrin-1 in acute intracerebral hemorrhage (ICH) patients and explored whether netrin-1 is a potential prognostic biomarker for ICH. METHODS: This study recruited a total of 126 ICH patients and 126 healthy controls. Netrin-1 concentration was determined using a commercially available human enzyme-linked immune sorbent assay kit. National Institutes of Health Stroke Scale (NIHSS) score and hematoma volume were used to assess hemorrhagic severity. An unfavorable outcome was defined as modified Rankin Scale >2 at 90 days. RESULTS: ICH patients showed significantly lower serum netrin-1 concentrations than controls. Serum netrin-1 concentrations were strongly and inversely correlated with serum C-reactive protein concentrations, NIHSS score and hematoma volume. Multivariate analyses revealed that low netrin-1 concentration was associated with 90-day death, unfavorable outcome and overall survival after adjustment for other confounding variables. Under the receiver operating characteristic curve, serum netrin-1 remarkably discriminated patients at risk of 90-day death and unfavorable outcome. CONCLUSIONS: Serum netrin-1 concentrations are decreased in patients with ICH, and the concentrations of netrin-1 were intimately associated with inflammation, hemorrhagic severity and clinical outcome of ICH.