Hypereosinophilia is a rare condition, defined as a persistent elevation of absolute eosinophil count greater than 1.5x109/L and/or tissue eosinophilia. This condition can be caused by numerous different etiologies, both hematological (clonal) and non-hematological (reactive). Reactive hypereosinophilia encompasses all disorders, including infections. Patients with hypereosinophilia may experience a spectrum of clinical consequences due to multiple organ damage, including neurologic and thrombotic complications, associated with organ dysfunction and potentially life-threatening sequelae. Cerebral venous thrombosis (CVT) is the term used to describe thrombotic occlusion of veins and/or venous sinuses in the brain. This condition can occur at all ages and CVT related to hypereosinophilia is a rare disease. Diagnosis of the disease must be done quickly because thrombosis causes blockage of cerebral drainage, venous congestion, disruption of cerebrospinal fluid reabsorption, ischemic neuronal damage, cerebral edema, and hemorrhage, leading to severe neurological complications. Management of intracranial hemorrhage from CVT due to hypereosinophilia is a challenging task for clinicians, based on anticoagulation therapy, systemic corticosteroid, management of elevated intracranial pressure, and potentially progressive hemorrhage due to anticoagulant. The outcome of the patient generally relies on early detection, prompt, and appropriate treatment. In this case report, we discuss a rare case of CVT with hypereosinophilia and positive dengue serology in a child, in the context of intracranial hemorrhage, enlightening the importance of considering a personalized strategy in the management of this complex scenario.

Spontaneous convexity subarachnoid hemorrhage (cSAH) is a vascular disease different from aneurysmal SAH in neuroimaging pattern, causes, and prognosis. Several causes might be considered in individual patients, with a limited value of the patient\'s age for discriminating among these causes. Cerebral amyloid angiopathy (CAA) is the most prevalent cause in people > 60 years, but reversible cerebral vasoconstriction syndrome (RCVS) has to be considered in young people. CAA gained attention in the last years, but the most known manifestation of cSAH in this context is constituted by transient focal neurological episodes (TFNEs). CAA might have an inflammatory side (CAA-related inflammation), whose diagnosis is relevant due to the efficacy of immunosuppression in resolving essudation. Other causes are hemodynamic stenosis or occlusion in extracranial and intracranial arteries, infective endocarditis (with or without intracranial infectious aneurysms), primary central nervous system angiitis, cerebral venous thrombosis, and rarer diseases. The diagnostic work-up is fundamental for an etiological diagnosis and includes neuroimaging techniques, nuclear medicine techniques, and lumbar puncture. The correct diagnosis is the first step for choosing the most effective and appropriate treatment.

BACKGROUND: Exposure to a high-altitude environment is a risk factor for cerebral venous thrombosis (CVT) probably due to hypercoagulability. The study aims to explore the unique characteristics of CVT patients in high-altitude areas of China by comparing them with those in plain areas.
METHODS: We retrospectively included consecutive patients with CVT admitted to Tibet Autonomous Region People\'s Hospital (altitude 3650 m) and Peking Union Medical College Hospital (altitude 43.5 m) between January 2015 and December 2023. Patients from the plateau and the plain were considered two independent groups in this study. The risk factors, clinical and radiological presentations, treatment, and outcomes were analyzed and compared between the two groups.
RESULTS: A total of 169 patients with CVT were included in the study, 48 patients from plateau and 121 patients from plain. The median age was 27 and 34 years old, and women accounted for 66.7% and 54.5% respectively. Headache (91.7% vs. 71.1%, P = 0.004), altered consciousness (31.3% vs. 16.5%, P = 0.033), hemorrhage (41.7% vs. 19.0%, P = 0.002), and venous infarction (50.0% vs. 25.6%, P = 0.002) on imaging were more common in patients from plateau than those from plain. Pregnancy or puerperium was significantly more common in highland patients (25% vs. 5.8%, P < 0.001). The levels of D-Dimer (1.7 vs. 0.8 mg/L FEU, P = 0.01), fibrinogen (3.7 vs. 3.0 g/L, P < 0.001), hemoglobin (157 vs. 129 g/L, P = 0.01), white blood cells (9.6 vs. 7.5*1012/L, P < 0.001) and highly sensitive C-reactive protein (20.2 vs. 3.2 mg/L, P = 0.005) were remarkably higher in highland patients. The percentage of receiving anticoagulant therapy was lower in high-altitude patients (70.8% vs. 93.4%, P < 0.001). Favorable outcome at follow-up was observed in 81.4% of highland patients and 90.7% of lowland patients, with a median follow-up time of 330 days and 703 days respectively.
CONCLUSIONS: The more severe clinical and imaging manifestations along with prominent inflammatory and hypercoagulable states were observed in plateau CVT patients, probably due to exposure to the hypoxic environment at high altitude. Pregnancy or puerperium were more common in highland patients. The overall prognosis of CVT patients from both groups were favorable.

BACKGROUND: Cerebral venous thrombosis (CVT) is a rare complication of spontaneous intracranial hypotension (SIH). Therefore, its correct diagnosis and the corresponding optimal treatment-management identification remains challenging.
METHODS: Over the last 10 years, 300 patients received a definite SIH diagnosis at our stroke center. Through thorough review of the database, we identified all patients with SIH-related CVT. In addition, we performed a systematic literature review including all publications on SIH-related CVT.
RESULTS: Five out of our 300 SIH patients showed CVT (F/M:2/3, mean age: 51.8 ± 15.7). Through the literature search, 72 additional cases were identified. Overall, the prevalence was 1.3% and main clinical presentations were orthostatic headache, nausea, and vomiting. The CVT was predominantly located at the superior sagittal sinus. Treatment strategies included anticoagulants (ACs) (43%), epidural blood patch (EBP) (19.4%), and combined AC + EBP (33.3%). In our cohort, all but one patient received combined EBP and AC. The mean clinical and radiological follow-up were 2 years and 1.5 years, respectively. Complete clinical recovery was reported in 96% of the cases, whereas 56% showed complete radiological CVT resolution. Among patients without radiological resolution (26.4%), 57% received AC-only, while 43% received combined AC + EBP. Of our five cases, all but one patient received combined AC + EBP.
CONCLUSIONS: The overall prevalence of SIH-related CVT was 1.3%. AC and combined AC + EBP were the most used treatment-management strategies. CVT resolution was more commonly achieved after the combined strategy. Overall, the rate of complete clinical recovery was 96%.

Inflammation is pivotal in the pathogenesis and development of cerebral venous thrombosis (CVT). Herein, we aimed to assess the anti-inflammatory effects of batroxobin combined with anticoagulation in CVT. Participants were categorized into the batroxobin group (batroxobin combined with anticoagulation) and the control group (anticoagulation only). Regression analysis was employed to explore the association between the number of episodes of batroxobin administration and the fluctuation of inflammatory indicators, as well as the proportion of patients with inflammatory indicators that were reduced after batroxobin use. Twenty-three cases (age: 39.9 ± 13.8 years, female: 39.1%) in the batroxobin group and 36 cases (40.3 ± 9.6 years, 52.8%) in the control group were analyzed. Compared to the control group, batroxobin combined with anticoagulation significantly decreased fibrinogen (P < .001), platelet-lymphocyte ratio (PLR) (P = .016) and systemic immune-inflammation index (SII) (P = .008), and increased the proportion of the patients with lower fibrinogen (P < .001), neutrophil-lymphocyte ratio (NLR) (P = .005), PLR (P = .026), and SII (P = .006). Linear analysis showed that as the number of episodes of batroxobin administration increased, the fibrinogen (P < .001), the PLR (P = .001), and the SII (P = .020) significantly decreased. Logistic regression analysis showed as the number of episodes of batroxobin administration increased, the ratio of the patients with decreased NLR (P = .008) and PLR (P = .015), as well as SII (P = .013), significantly increased. Batroxobin could decrease NLR, PLR, and SII in CVT. The effect was related to the number of episodes of batroxobin administration. Besides reducing fibrinogen and indirect thrombolysis effects, this may be another critical benefit of batroxobin for CVT.

Traditionally considered to be absent in India, prothrombin gene G20210A (NM_000506.5(F2): c.*97G > A) mutation (PGM) has recently been reported in few Indian patients. We aimed to assess the prevalence of PGM in patients with thromboembolic events from north India region. The thrombophilia workup comprising Protein C, Protein S, Antithrombin functional activity, lupus anticoagulant and anti-ACA and anti-ß2GP1 antibodies were performed in coagulation analyzer (ACLTOP-500, Instrumentation Laboratory, USA) and automated chemiluminescent assay analyzer (ACUSTAR, IL) respectively. PCR-RFLP was used to perform PGM and FVL mutation. Out of 509 patients, DVT and CVT/CSVT were identified in 208 and 250 patients respectively. A total of 42 (8.2%) cases showed inherited thrombophilia and 11 (2.1%) acquired thrombophilia. Among the inherited defects, the most common was FVL mutation 31 (6%) The PGM was seen in only 2/509 (0.3%) patients. The prevalence of PGM in North Indian patients with DVT, stroke and CVT is 0.41% (2/509). Although PGM is rare in this population, its presence emphasizes its association with these conditions. However, the role of PGM testing remains debatable due to its scarcity among North Indians.
UNASSIGNED: The online version contains supplementary material available at 10.1007/s12288-024-01741-x.

UNASSIGNED: Risk prediction models are commonly performed with logistic regression analysis but are limited by skewed datasets. We utilised neural networks (NNs) model to identify independent predictors of poor outcomes in cerebral venous thrombosis (CVT) due to the limitations of logistic regression (LR) analysis with complex datasets.
UNASSIGNED: We evaluated 1309 adult CVT patients from the prospective BEAST (Biorepository to Establish the Aetiology of Sinovenous Thrombosis) study. The area under the receiver operating characteristic (AUROC) curve confirmed the goodness-of-fit of prediction models. The normalised importance (NI) of the NNs determines the significance of independent predictors.
UNASSIGNED: The stepwise logistic regression model found thrombolysis (OR 32.1; 95% CI 3.6-287.0; P=0.002), craniotomy (OR 6.9; 95% CI 1.3-36.8; P=0.02), and cerebral haemorrhage (OR 4.5; 95% CI 1.3-15.4; P=0.01) as predictors of poor clinical outcome with the AUROC of 0.71. Conversely, the NNs model identified major independent predictors of long-term poor clinical outcomes as cerebral haemorrhage (NI 100%) and thrombolysis (NI 98%), as well as trivial predictors of age (NI 2.8%) and altered mental status (NI 3.5%). The accuracy of the NNs model was 95.1% and 94.1% for self-learned randomly selected training and testing samples with an AUROC of 0.82. Positive and negative predictive values for poor outcomes were 13.2% and 97.1% for the LR model, compared with the NNs model of 18.8% and 98.7%, respectively.
UNASSIGNED: Cerebral haemorrhage and thrombolysis was a strong independent predictor, whereas age merely impacts the long-term poor clinical outcome in adult CVT. Integrating unorthodox neural networks risk prediction model can improve decision-making as it outperforms conventional logistic regression with complex datasets.

OBJECTIVE: Cerebral Venous Thrombosis (CVT) poses diagnostic challenges due to the variability in disease course and symptoms. The prognosis of CVT relies on early diagnosis. Our study focuses on developing a machine learning-based screening algorithm using clinical data from a large neurology referral center in southern Iran.
METHODS: The Iran Cerebral Venous Thrombosis Registry (ICVTR code: 9001013381) provided data on 382 CVT cases from Namazi Hospital. The control group comprised of adult headache patients without CVT as confirmed by neuroimaging and was retrospectively selected from those admitted to the same hospital. We collected 60 clinical and demographic features for model development and validation. Our modeling pipeline involved imputing missing values and evaluating four machine learning algorithms: generalized linear model, random forest, support vector machine, and extreme gradient boosting.
RESULTS: A total of 314 CVT cases and 575 controls were included. The highest AUROC was reached when imputation was used to estimate missing values for all the variables, combined with the support vector machine model (AUROC = 0.910, Recall = 0.73, Precision = 0.88). The best recall was achieved also by the support vector machine model when only variables with less than 50 % missing rate were included (AUROC = 0.887, Recall = 0.77, Precision = 0.86). The random forest model yielded the best precision by using variables with less than 50 % missing rate (AUROC = 0.882, Recall = 0.61, Precision = 0.94).
CONCLUSIONS: The application of machine learning techniques using clinical data showed promising results in accurately diagnosing CVT within our study population. This approach offers a valuable complementary assistive tool or an alternative to resource-intensive imaging methods.

UNASSIGNED: Although rare, cerebral venous sinus thrombosis (CVT) can result in significant neurological complications, particularly after childbirth. Early diagnosis poses a challenge due to symptom overlap with other conditions. Limited publications and underdiagnosis of CVT are prevalent in developing nations, notably in Ethiopia.
UNASSIGNED: A 29-year-old mother, having given birth four times, presented to the emergency department in her second month postpartum with complaints of persistent headaches and blurred vision over three weeks. Additionally, she reported sudden weakness on her right side for one day. Despite previous treatments for migraine headaches, she was diagnosed with CVT after magnetic resonance imaging/venography revealed blockage in the right anastomotic vein and the posterior segment of the superior sagittal sinus. Treatment commenced with the anticoagulant enoxaparin. During hospitalization, she experienced one episode of generalized seizures, leading to transfer to the intensive care unit where phenytoin was added. Subsequent diagnosis of papilledema occurred. After a 16-day hospital stay, she was discharged with warfarin, phenytoin, and acetazolamide. Oral anticoagulation and other medications ceased after six months of treatment, considering the postpartum period as a temporary risk factor for CVT. The patient currently maintains good health and has resumed normal activities.
UNASSIGNED: Maintaining a high index of suspicion for CVT during the postpartum period and promptly conducting imaging scans are crucial for early diagnosis. This approach can halt neurological decline and facilitate immediate recovery through early therapeutic interventions.

BACKGROUND: About 13-25% of cerebral venous thrombosis (CVT) cases lack clear etiology, which may be associated with underlying genetic factors. This study aims to investigate genetic factors in CVT patients using whole exome sequencing (WES).
METHODS: Thirty-eight CVT patients hospitalized underwent WES. 977 subjects with WES data from a community cohort study --the Shunyi cohort were as the control group. Using bioinformatics analysis, differential genes with rare damaging variants between two groups were filtered (P < 0.05). KEGG enrichment analysis was performed on the screened genes to identify pathways associated with CVT.
RESULTS: Through analysis of medical history, routine tests, and imaging examinations, the etiology of 38 patients: 8 cases of antiphospholipid syndrome, 6 cases with hematologic diseases, 3 cases of protein C deficiency, and 2 cases of protein S deficiency. Five cases occurred during pregnancy or puerperium, and 3 cases had a history of oral contraceptive use, and so on. The etiology was unknown in 12 cases (31.6%), and the etiology of 4 patients were further clarified through WES: F9 c.838 + 1_838 + 16del, Hemizygote: F9 EX1-EX7 Dup; CBS c.430G > A, CBS c.949 A > G; F2 c.1787G > A; SERPINC1 c.409-11G > T. Comparing the WES data of two groups, a total of 179 different genes with rare damaging variants were screened (P < 0.05), with 5 genes of interest (JAK2, C3, PROC, PROZ, SERPIND1). Enrichment analysis of the 179 different genes revealed the complement and coagulation pathway and the mitogen activated protein kinases (MAPK) pathway were associated with CVT.
CONCLUSIONS: For CVT patients with unknown etiology, WES could help identify the cause of CVT early, which is of great significance for treatment decisions and prognosis. In addition to the complement and coagulation pathway, MAPK pathway is associated with CVT, potentially related to platelet regulation and inflammatory response.