An Association between Inflammation and Cerebral Venous Thrombosis: A Retrospective Study

Zhang, Xifang; Ding, Rui; Li, Haiyan; Liu, Yaqi; Ou, Weiyang; Hu, Jiangang; Tian, Yu; Wang, Qiujing

doi:10.1016/j.jstrokecerebrovasdis.2021.106084

Cited by 16 publications

(22 citation statements)

References 36 publications

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“…The pre-developed search strategy identified 2,664 records from PubMed, Embase, Web of Science, Cochrane library, and CINAHL databases. Based on the inclusion and exclusion criteria, a total of 13 studies were eligible for analysis ( 28 – 40 ). The flow diagram of the study selection process and exclusion reasons after full-reading are depicted in Figure 1 .…”

Section: Resultsmentioning

confidence: 99%

“…Of the 152,996 participants, 102,822 were male and the mean/median age ranged from 33 to 70 years. The published studies were conducted in four regions: China ( 28 , 29 , 31 , 32 , 34 , 35 , 39 , 40 ), Turkey ( 30 , 33 , 38 ), Poland ( 36 ), and United States ( 37 ). The determination of SII cutoff values was based on ROC analysis, Youden index, and quartiles.…”

Section: Resultsmentioning

confidence: 99%

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Systemic immune-inflammation index as a potential biomarker of cardiovascular diseases: A systematic review and meta-analysis

Wang

et al. 2022

Front. Cardiovasc. Med.

135

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BackgroundSeveral studies have investigated the value of the systemic immune-inflammation index (SII) for predicting cardiovascular disease (CVD), but the results were inconsistent. Therefore, a meta-analysis and systematic review were conducted to assess the correlation between SII and risk of CVD.Materials and methodsTwo investigators systematically searched PubMed, Embase, Web of Science, Cochrane library, and CINAHL databases to identify all studies that examined the association between SII levels and CVD. The risk estimates of CVD for people with high SII compared to those with low SII levels and the weighted mean difference (WMD) between the CVD and control groups were pooled using fixed- or random-effects models based on the heterogeneity test. We used the Newcastle-Ottawa Scale to assess the risk of bias in eligible studies, and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system was applied to rate the certainty of evidence.ResultsA total of 13 studies with 152,996 participants were included for analysis. The overall pooled results showed that higher SII was significantly associated with an increased risk of CVD (HR = 1.39, 95%CI: 1.20–1.61, P < 0.001). This increased risk could be observed in almost all CVD subtypes, including ischemic stroke (HR = 1.31, 95%CI: 1.06–1.63, P = 0.013), hemorrhagic stroke (HR = 1.22, 95%CI: 1.10–1.37, P < 0.001), myocardial infarction (HR = 1.11, 95%CI: 1.01–1.23, P = 0.027), and peripheral arterial disease (HR = 1.51, 95%CI: 1.18–1.93, P = 0.001). There were no significant but still similar trends in venous thrombosis (HR = 4.65, 95%CI: 0.66–32.71, P = 0.122), cerebral small vessel disease (HR = 1.09, 95%CI: 0.95–1.25, P = 0.233), and acute coronary syndrome (HR = 1.08, 95%CI: 0.96–1.22, P = 0.200). Furthermore, the pooled results showed that SII levels at the onset of CVD were significantly higher than that in the general population (WMD = 355.2, 95%CI: 234.8–475.6, P < 0.001), which was consistent across different CVD subtypes. The GRADE assessment suggested that the quality of current evidence from observational studies was low or very low.ConclusionThis study indicated that SII may be a potential biomarker for CVD development and elevated SII is associated with an increased risk of CVD. However, the quality of evidence is generally low. Additional well-designed studies are necessary to determine the optimal cutoff value and to characterize the benefited population.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Systemic immune-inflammation index as a potential biomarker of cardiovascular diseases: A systematic review and meta-analysis

Wang

et al. 2022

Front. Cardiovasc. Med.

135

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“…SII is an independent prognostic factor for patients with non-chronic CVT, with high SII values on admission suggesting poor outcomes (75,77). Moreover, SII and NLR were positively correlated with CVT severity (74).…”

Section: Thrombo-inflammatory Biomarkersmentioning

confidence: 94%

“…Single-center clinical studies have reported significantly higher levels of PLR (74) and NLR (17,42,74) in patients with acute CVT than in patients with chronic CVT. Notably, the NLR (16,17,74) and PLR levels (74) are positively correlated with the baseline disability degree, with NLR being more commonly used to predict adverse outcomes in patients with severe CVT. Numerous studies have demonstrated that increased NLR levels are associated with poor prognosis in patients with CVT.…”

Section: Thrombo-inflammatory Biomarkersmentioning

confidence: 99%

“…They provide information regarding primary hemostasis and inflammation; moreover, there has been increasing attention to their utility in assessing the risk of arteriovenous thrombotic events (73). Single-center clinical studies have reported significantly higher levels of PLR (74) and NLR (17,42,74) in patients with acute CVT than in patients with chronic CVT. Notably, the NLR (16,17,74) and PLR levels (74) are positively correlated with the baseline disability degree, with NLR being more commonly used to predict adverse outcomes in patients with severe CVT.…”

Section: Thrombo-inflammatory Biomarkersmentioning

confidence: 99%

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Inflammation and Severe Cerebral Venous Thrombosis

Lee

Zhao

et al. 2022

Front. Neurol.

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Cerebral venous thrombosis (CVT) is a rare type of venous thromboembolism (VTE). It is an important cause of stroke in young adults and children. Severe CVT, which is characterized by cerebral venous infarction or hemorrhage, seizures, or disturbance of consciousness, has more severe clinical manifestations and a worse prognosis. It is commonly believed that the onset of severe CVT gave credit to venous return disorder, with the underlying pathogenesis remaining unclear. There is increasing evidence suggesting that an inflammatory response is closely associated with the pathophysiology of severe CVT. Preclinical studies have identified the components of neuroinflammation, including microglia, astrocytes, and neutrophils. After CVT occurrence, microglia are activated and secrete cytokines (e.g., interleukin-1β and tumor necrosis factor-α), which result in a series of brain injuries, including blood-brain barrier disruption, brain edema, and cerebral venous infarction. Additionally, astrocytes are activated at the initial CVT stage and may interact with microglia to exacerbate the inflammatory response. The extent of cerebral edema and neutrophil recruitment increases temporally in the acute phase. Further, there are also changes in the morphology of inflammatory cells, expression of inflammatory mediators, and inflammatory pathway molecules with CVT progression. Lately, some clinical research suggested that some inflammation-related biomarkers are of great value in assessing the course, severity, and prognosis of severe CVT. Moreover, basic and clinical research suggested that anti-inflammatory therapy might hold promise in severe CVT. This study reviews the current literature regarding the involvement of inflammation in the pathophysiology and anti-inflammatory interventions of severe CVT, which would contribute to informing the pathophysiology mechanism and laying a foundation for exploring novel severe CVT therapeutic strategies.

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Multi-inflammatory index as a new predictive and prognostic marker of acute symptomatic seizures in patients with cerebral venous sinus thrombosis

Agircan,

Bal,

Demir

et al. 2023

Journal of Stroke and Cerebrovascular Diseases

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An Association between Inflammation and Cerebral Venous Thrombosis: A Retrospective Study

Cited by 16 publications

References 36 publications

Systemic immune-inflammation index as a potential biomarker of cardiovascular diseases: A systematic review and meta-analysis

Systemic immune-inflammation index as a potential biomarker of cardiovascular diseases: A systematic review and meta-analysis

Inflammation and Severe Cerebral Venous Thrombosis

Multi-inflammatory index as a new predictive and prognostic marker of acute symptomatic seizures in patients with cerebral venous sinus thrombosis

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