Subarachnoid hemorrhage (SAH) has a high mortality rate and causes long-term disability in many patients, often associated with cognitive impairment. However, the pathogenesis of delayed brain dysfunction after SAH is not fully understood. A growing body of evidence suggests that neuroinflammation and oxidative stress play a negative role in neurofunctional deficits. Red blood cells and hemoglobin, immune cells, proinflammatory cytokines, and peroxidases are directly or indirectly involved in the regulation of neuroinflammation and oxidative stress in the central nervous system after SAH. This review explores the role of various cellular and acellular components in secondary inflammation and oxidative stress after SAH, and aims to provide new ideas for clinical treatment to improve the prognosis of SAH.

Background: Patients with poor-grade aneurysmal subarachnoid hemorrhage (aSAH), defined as World Federation of Neurosurgical Societies (WFNS) grades IV–V have high rates of disability and mortality. The objective of this study was to accurately prognosticate the outcomes of patients with poor-grade aSAH by developing a new scoring model.Methods: A total of 147 poor-grade aSAH patients in our center were enrolled. Risk variables identified by multivariate logistic regression analysis were used to devise a scoring model (total score, 0–9 points). The scores were estimated on the basis of β coefficients. A cohort of 68 patients from another institute was used to validate the model.Results: Multivariate logistic regression analysis revealed that modified Fisher grade >2 [odds ratio [OR], 2.972; P = 0.034], age ≥65 years (OR, 3.534; P = 0.006), conservative treatment (OR, 5.078; P = 0.019), WFNS grade V (OR, 2.638; P = 0.029), delayed cerebral ischemia (OR, 3.170; P = 0.016), shunt-dependent hydrocephalus (OR, 3.202; P = 0.032), and cerebral herniation (OR, 7.337; P < 0.001) were significant predictors for poor prognosis [modified Rankin Scale [mRS] ≥3]. A scoring system was constructed by the integration of these factors and divided the poor-grade aSAH patients into three categories: low risk (0–1 points), intermediate risk (2–3 points), and high risk (4–9 points), with predicted risks of poor prognosis of 11, 52, and 87%, respectively (P < 0.001). The area under the curve in the derivation cohort was 0.844 (95% CI, 0.778–0.909). The AUC in the validation cohort was 0.831 (95% CI, 0.732–0.929).Conclusions: The new scoring model can improve prognostication and help decision-making for subsequent complementary treatment in patients with aSAH.

Ischemic stroke is a leading cause of disability and death. It imposes a heavy economic burden on individuals, families and society. The mortality rate of ischemic stroke has decreased with the help of thrombolytic drug therapy and intravascular intervention. However, the nerve damage caused by ischemia-reperfusion is long-lasting and followed by multiple organ dysfunction. In this process, the immune responses manifested by systemic inflammatory responses play an important role. It begins with neuroinflammation following ischemic stroke. The large number of inflammatory cells released after activation of immune cells in the lesion area, along with the deactivated neuroendocrine and autonomic nervous systems, link the center with the periphery. With the activation of systemic immunity and the emergence of immunosuppression, peripheral organs become the second “battlefield” of the immune response after ischemic stroke and gradually become dysfunctional and lead to an adverse prognosis. The purpose of this review was to describe the systemic immune responses after ischemic stroke. We hope to provide new ideas for future research and clinical treatments to improve patient outcomes and quality of life.

Background. Hematoma expansion (HE) is a relatively common complication after intracerebral hemorrhage.Objectives. To explore the association between systemic inflammatory response syndrome (SIRS) and HE in patients with intracerebral hemorrhage (ICH). Materials and methods.From June 2013 to October 2020, the sociodemographic data and clinical data of 780 ICH patients were collected. The logistic regression analysis with odd ratios (ORs) and 95% confidence intervals (95% CIs) was performed to analyze the risk factors for HE in patients with ICH.Results. Hematoma expansion occurred in 151 (19.36%) patients with ICH. Significant differences were presented between SIRS and HE (OR = 2.549, 95% CI: [1.497; 4.342], p = 0.0006). After adjusting the covariates, a further analysis showed that the respiratory rate >20 beats/min (OR = 3.436, 95% CI: [1.981; 5.960], p < 0.0001), white blood cell (WBC) > 12×10 9 /L or WBC ≤ 4×10 9 /L (OR = 2.489, 95% CI: [1.494; 4. 149], p = 0.0005) increased the risk for HE in ICH patients. Our study also found that the significant differences between HE and non-HE patients in proportion of patients with history of diabetes mellitus, basal ganglia hemorrhage, hypothalamus hemorrhage and fasting blood glucose (all p < 0.05) (OR = 2.076, 95% CI: [1.274; 3.381], p = 0.0034), basal ganglia hemorrhage (OR = 2.512, 95% CI: [1.496; 4.218], p = 0.0005), hypothalamus hemorrhage (OR = 2. 121, 95% CI: [1.007; 4.466], p = 0.0479), high C-reactive protein (CRP) (OR = 1.013, 95% CI: [1.002; 1.024], p = 0.0184), and hyperglycemia (OR = 1.099, 95% CI: [1.026; 1. 178], p = 0.0074) were associated with an increased risk of HE in ICH patients. Conclusions.The SIRS is closely associated with the risk of HE. Respiratory rate >20 beats/min and WBC count >12(10 9 /L) or ≤4(10 9 /L) increased the risk for HE in ICH patients. These findings can help to achieve the early prevention of HE and improve the prognosis of ICH patients.