Background: Stroke is the leading cause of brain death. Determining brain death has many benefits, the most important of which is to provide organ donation. However, to date, there is no reliable predictive criterion for determining brain death in stroke. Aim: To study the possibility of predicting brain death by analyzing risk factors, clinical and baseline tests in cases of stroke-related death. Materials and Methods: A prospective observational study was conducted on stroke deaths in the Stroke Department of Third State Central Hospital from January 1 to December 31, 2018, and statistical analysis was performed using SPSS 22.0. Approval for the study was obtained from the Research Council of the Third State Central Hospital. Result: The study included 138 (13.1%) death cases out of 1056 cases hospitalized with a stroke. Of these 138 cases, 90 were intracerebral hemorrhagic stroke (ICH), 30 were subarachnoid stroke, and 18 were ischemic stroke. Death was primarily detected in the age of 50-59 in all study groups (p=0.006, p=0.049). The clinical severity was statistically significant (p<0.05) in the ICH group, with a GCS score of 4.58±2.43 and an NIHSS score of 31.54±7.227. Risk factors for brain death were most common in the ICH group, with arterial hypertension (114 cases) and HCV infection (23 cases) (p<0.0001, respectively). Conclusion ICH, clinical severity, arterial hypertension, and chronic hepatitis B virus infection are predictive factors of brain death.

Background: Non-traumatic intracerebral hemorrhage (ICH) represents the most devastating subtype of stroke, charac terized by spontaneous bleeding into the brain parenchyma. This neurological emergency carries a burden of mortality and long-term disability worldwide. Timely identification causal pathways is priority objective for adequate primary and secondary prevention of ICH. Risk factors may differ between ICH subtypes, and stratified approaches to management may be appropriate. Aim: This study is to identify cause and risk factors of ICH. Materials and Methods: A single centre descriptive study was carried out in Stroke Center of the State Third Central Hospital, Mongolia, including 718 consecutive acute patients with ICH during October 2022 to September 2024. Patients were classified using SMASH-U, an etiological based classification system. Results: Out of a total of 718 cases diagnosed with ICH, hypertension caused 75.3%, amyloid angiopathy 12%, undetermined 7%, structural lesions 2.92%, systemic disease 2.37%, medication 0.48% in 718 ICH patients. The mean age of the cases was 57.5 жил, and was the most common in men of the 50-59 age group (p<0.001). The main risk factor in hypertension and amyloid angiopathy groups was arterial hypertension (93.7%), in undetermined group alcohol consumption (48%), in structural group AVM and other vascular causes (23.8%), in systemic group chronic kidney insufficiency (29.4%), in medication group atrial fibrillation (100%), respectively. Conclusion 1. ICH was mostly caused by hypertension, amyloid angiopathy, systemic disease. 2. Arterial hypertension, heart disease, atrial fibrillation, previous stroke, oral anticoagulants, smoking, alcohol consumption, obesity/BMI≥25, liver cirrhosis, chronic kidney insufficiency, AVM and other structural anomalies were the most common risk factors.

Background: Non-traumatic intracerebral hemorrhage (ICH), an neurological emergency carries a burden of mortality and long-term disability worldwide. Blood pressure and level of consciousness at the admission, location and volume of parenchymal hemorrhage, volume of intraventricular hemorrhage have been most consistently linked with poor outcome. Aim: To asssess a relationship between hematoma location, volume and clinical outcome in patients with acute ICH. Materials and Methods: An analytical study was carried out in Third State Central Hospital, between 2022 and 2024, and statistical analysis was performed using SPSS 25.0 program. Results: Total of 385 cases diagnosed with acute ICH included in the study. The clinical outcomes differed significantly according to ICH location and hematoma volume (р<0.001). Lobar ICH was associated with a significantly lower risk of poor outcome (OR, 0.458 [95% CI, 0.21–0.99]), and highest risk for poor outcome in intraventricular hemorrhage (OR, 2.03 [95% CI, 1.07-3.85]). The risk of poor outcome at 3 months were the highest for brainstem (OR, 3.36 [95% CI, 1.68-6.69]), intraventricular rupture (OR, 4.91 [95% CI, 3.16-7.63]), but lowest for infratentorial-located ICHs (OR, 0.42 [95% CI, 0.23-0.76]). All receiver operating characteristic models for location-specific vutoffs had good discriminant values (area under the curve >0.8), except in predicting good outcome for cerebellum and thalamus (<10.2 ml, <6.7 ml respectively). Conclusion The interaction between hematoma volume and location exerted a direct effect on ICH outcome.