White Matter Hypoperfusion Associated with Leukoaraiosis Predicts Intracranial Hemorrhage after Intravenous Thrombolysis.

OBJECTIVES: White matter hyperintensity is common in patients receiving intravenous thrombolysis. Some studies have expressed concern about the increased risk of hemorrhagic transformation and poor prognosis for those patients with pre-existing leukoaraiosis. The purpose of this study was to evaluate hypoperfusion associated with leukoaraiosis before thrombolysis using CT perfusion and to explore whether chronic white matter hypoperfusion increases risks of intracranial hemorrhage and poor clinical prognosis. MATERIALS AND METHODS: We collected 175 patients underwent intravenous thrombolysis with complete CT perfusion data and follow-up MRI between June 2017 and January 2020. We measured cerebral blood flow, cerebral blood volume, mean transit time and transit time to the peak at both periventricular and subcortical layers in the cerebral hemisphere contralateral to the stroke. The differences of white matter perfusion were compared between groups with different leukoaraiosis severity. Univariate analysis was used to compare in incidence of hemorrhagic transformation and poor prognosis between the hypoperfusion and normal perfusion groups. Further, we examined association between white matter hypoperfusion and intracranial hemorrhage after thrombolysis using logistic regression. RESULTS: The length of periventricular transit time to the peak was independently associated with a higher risk of intracranial hemorrhage after thrombolysis (OR=4.740, 95%CI=1.624-13.837, P=0.004). The best predictive value was 4.012. But there was no significant difference in poor prognosis at 3 months between hypoperfusion (periventricular transit time to the peak≥4.012 s) and normal perfusion (periventricular transit time to the peak<4.012 s) group. CONCLUSIONS: Image presentations of white matter hypoperfusion reflected the severity of leukoaraiosis. White matter hypoperfusion was independently associated with intracranial hemorrhage after intravenous thrombolysis. However, hypoperfusion would not increase the risk of poor prognosis.

Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio as Potential Predictors of Prognosis in Acute Ischemic Stroke.

Objective: Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been emerging as the novel inflammatory biomarkers for determining the prognosis of various diseases. This study aimed to investigate the individual and joint effects of NLR and PLR on functional outcomes of acute ischemic stroke (AIS). Methods: Our study involved 448 eligible patients with first-ever AIS. Clinical and laboratory data were collected on admission within 72 h from stroke onset. Unfavorable functional outcome was defined as a modified Rankin Scale score of 3-6 at 3 months after AIS. Cox proportional hazard model and spline regression models was used to estimate the effect of NLR and PLR on risk of adverse outcomes after the last patient who completed a 3-months follow-up was enrolled. Results: After adjusting confounders, NLR were significantly associated with the unfavorable functional outcomes (P-trend < 0.001). So were PLR (P-trend < 0.001). NLR was discovered to have higher predictive value than PLR (AUC = 0.776, 95%CI = 0.727-0.825, P < 0.001; AUC = 0.697, 95%CI = 0.641-0.753, P < 0.001). The optimal cutoff values for NLR and PLR was 3.51 and 141.52, respectively. Stratified analysis performed by cox proportional hazard model showed that high level of NLR and PLR (NLR ≥ 3.51, PLR ≥ 141.52) presented the highest risk of unfavorable functional outcomes (adjusted HR, 3.77; 95% CI: 2.38-5.95; P < 0.001). Followed by single high level of NLR (adjusted HR, 2.32; 95% CI: 1.10-4.87; P = 0.027). Single high level of PLR (NLR < 3.51, PLR ≥ 141.52) also showed higher risk than low level of the combination, but it did not reach statistical significance (adjusted HR, 1.42; 95% CI: 0.75-2.70; P = 0.285). No obvious additive [relative excess risk due to interaction (RERI) not significant] or multiplicative (adjusted HR, 0.71; 95%CI: 0.46-1.09; P = 0.114) interaction was found between the effects of NLR and PLR on the risk of unfavorable functional outcomes. Conclusion: This study demonstrated that both NLR and PLR were independent predictors of 3-months functional outcomes of AIS. They may help to identify high-risk patients more forcefully when combined together.