Construction of an Interpretable Model of the Risk of Post-Traumatic Brain Infarction Based on Machine Learning Algorithms: A Retrospective Study by Li S, Li H, Wu B, Pan R, Liu Y, Wang J, Wei D, Gao H

“…The interpretations of the ML models’ predictions were provided by SHAP values.Results: Key predictors included age, bilateral brain contusions, platelet count, uric acid, glucose, traumatic subarachnoid hemorrhage, and surgical treatment. The logistic regression (LR) model outperformed other ML algorithms, demonstrating superior performance in the test set with an AUC of 0.821, accuracy of 0.845, Matthews correlation coefficient (MCC) of 0.264, area under the receiver operating characteristic curve (AUROC) of 0.711, precision of 0.56, and specificity of 0.971. …”
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Retrospective cohort study based on the MIMIC-IV database: analysis of factors influencing all-cause mortality at 30 days, 90 days, 1 year, and 3 years in patients with different t... by Xuehui Fan, Jing Xu, Ruixue Ye, Qiu Zhang, Yulong Wang

“…Random forest and gradient boosting tree models were employed for data analysis to assess mortality risk.ResultsKaplan–Meier survival analysis showed that ischemic stroke patients had the highest 30-day mortality rate at 8.5%, with only 20% 1-year survival. Traumatic subarachnoid hemorrhage patients had the best prognosis, with a 1-year survival rate of 60%. …”
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Possible Usefulness of Gadolinium-Enhanced Brain MRI for Evaluating Risk of Perioperative Hemorrhage: A Case of Infective Endocarditis by Chikahiko Koeda, Atsushi Tashiro, Tomohiro Takahashi, Masanobu Niiyama, Ryohei Sakamoto, Takumi Kimura, Yoshihiro Morino, Katsutoshi Terui, Ryoichi Tanaka, Kunihiro Yoshioka, Hajime Kin, Hitoshi Okabayashi, Motoyuki Nakamura

“…Based on clinical episodes of subarachnoid hemorrhage after admission, it was judged that she was not a good candidate for urgent open heart surgery, and it was decided to treat her with conservative medical therapy for the acute phase. …”
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The morphological, clinical, and prognostic factors in the management of giant anterior communicating artery aneurysms: A systematic review of cases by Roua Nasir, Midhat e Zahra Naqvi, Salaar Ahmed, Maarij ul Hassan, Rabeet Tariq, Saad Akhter Khan, Pia Koeskemeier, Rajiv K. Khajuria, Mohammad Hamza Bajwa, Sajjad Muhammad

“…The mean age was 52 years with an overall male preponderance (3:1). 73% presented with symptoms; mostly visual impairment/loss and subarachnoid hemorrhage. 82% had favorable outcomes (mRS 0–2). 56% had a mean maximum diameter between 25 and 30 mm. …”
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Unraveling the causal impact of smoking and its DNA methylation signatures on cardiovascular disease: Mendelian randomization and colocalization analysis by Si Cao, Youjie Zeng, Ke Pang, Minghua Chen, Ren Guo, Nayiyuan Wu, Chao Fang, Huiyin Deng, Xiaoyi Zhang, Xiaohui Xie, Wen Ouyang, Heng Yang

“…Methods Mendelian Randomization (MR) analysis was performed to assess the causal effects of smoking behavior and DNA methylation levels at smoking-related CpG sites on nine CVDs, including aortic aneurysm, atrial fibrillation, coronary atherosclerosis, coronary heart disease, heart failure, intracerebral hemorrhage, ischemic stroke, myocardial infarction, subarachnoid hemorrhage. Colocalization analysis was used to further identify key smoking-related CpG sites from the MR causal estimates. …”
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Development and Validation of a Novel Classification System and Prognostic Model for Open Traumatic Brain Injury: A Multicenter Retrospective Study by Yuhui Chen, Li Chen, Liang Xian, Haibing Liu, Jiaxing Wang, Shaohuai Xia, Liangfeng Wei, Xuewei Xia, Shousen Wang

“…Results Multivariable logistic regression analysis identified OTBI classification type C (p < 0.001), a Glasgow Coma Scale score (GCS) ≤ 8 (p < 0.001), subarachnoid hemorrhage (SAH) (p = 0.004), subdural hematoma (SDH) (p = 0.011), and coagulopathy (p = 0.020) as independent risk factors for poor prognosis. …”
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Deciphering the role of miRNA-mRNA interactions in cerebral vasospasm post intracranial hemorrhage by Xiang Chu, Xiang Chu, Xiyan Zhu, Honghao Xu, Wenbing Zhao, Debin Guo, Xing Chen, Jinze Wu, Lei Li, Hao Wang, Jun Fei

“…Cerebral vasospasm (CVS), a serious complication following subarachnoid hemorrhage, is associated with high rates of mortality and disability. …”
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Endovascular treatment for blood blister ⁃ like aneurysms of internal carotid artery and systematic literature review by ZHOU Lei, WANG Zhong, YANG Guo‐jun, DONG Shi‐biao, LI Nan, ZHU Wei‐wei

“…Postoperative complications included cerebral infarction (2 cases), cerebral vasospasm due to subarachnoid hemorrhage (one case), and hydrocephalus (2 cases). …”
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تعیین و مقایسه‌ی یافته‌های سی‌تی آنژیوگرافی و آنژیوگرافی مغزی در بیماران مبتلا به خونریزی ساب عنکبوتیه... by مریم طیبی, عظیم معتمدفر, محمد مومن غریبوند, نسترن مجدی نسب, مژگان صامت زاده

“…مقاله پژوهشیمقدمه: این مطالعه با هدف مقایسه‌ی یافته‌های سی‌تی آنژیوگرافی (Computed tomography angiography) CTA و آنژیوگرافی 4 رگ در بیماران مبتلا به خونریزی ساب آراکنوئید (Subarachnoid hemorrhage) SAH انجام شد.روش‌ها: این مطالعه‌ی مقطعی گذشته‌نگر به منظور مقایسه‌ی یافته‌های CTA و آنژیوگرافی 4 رگ در بیماران مبتلا به SAH انجام شد. …”
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Intracranial aneurysm instability prediction model based on 4D-Flow MRI and HR-MRI by Fei Peng, Jiaxiang Xia, Fandong Zhang, Shiyu Lu, Hao Wang, Jiashu Li, Xinmin Liu, Yao Zhong, Jiahuan Guo, Yonghong Duan, Binbin Sui, Chuyang Ye, Yi Ju, Shuai Kang, Yizhou Yu, Xin Feng, Xingquan Zhao, Rui Li, Aihua Liu

“…The ability of the hybrid model to predict aneurysm instability was compared with baseline models: PHASES (population, hypertension, age, size, earlier rupture, and site) LR, ELAPSS (earlier subarachnoid hemorrhage, location, age, population, size, and shape) LR, aneurysm wall enhancement (AWE) LR, and Radiomics using the area under the curve (AUC) with Delong's test. …”
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Common lipidomic signatures across distinct acute brain injuries in patient outcome prediction by Santtu Hellström, Antti Sajanti, Abhinav Srinath, Carolyn Bennett, Romuald Girard, Aditya Jhaveri, Ying Cao, Johannes Falter, Janek Frantzén, Fredrika Koskimäki, Seán B. Lyne, Tomi Rantamäki, Riikka Takala, Jussi P. Posti, Susanna Roine, Sulo Kolehmainen, Kenneth Nazir, Miro Jänkälä, Jukka Puolitaival, Melissa Rahi, Jaakko Rinne, Anni I. Nieminen, Eero Castrén, Janne Koskimäki

“…In this longitudinal prospective observational study, serum samples were collected early (46 ± 24 h) and late (142 ± 52 h) post-injury from 70 patients with ischemic stroke, aneurysmal subarachnoid hemorrhage, and traumatic brain injury that had outcomes dichotomized as favorable (modified Rankin Scores (mRS) 0–3) and unfavorable (mRS 4–6) three months post-injury. …”
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Evidence-Based Cerebral Vasospasm Surveillance by Heather Kistka, Michael C. Dewan, J. Mocco

“…Subarachnoid hemorrhage related to aneurysmal rupture (aSAH) carries significant morbidity and mortality, and its treatment is focused on preventing secondary injury. …”
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Cerebrovascular illness in the province of Cienfuegos. Tendency lines. A six years study by Rubén Bembibre Taboada, Pedro Orduñez García, Bárbaro Jova Roque, Idaylí Pérez Rodríguez, Dianarelys Villafuerte Delgado, Juan E. Domínguez Suárez

“…<strong>Results:</strong> A half rate of morbidity of 108, 89, was verified by 100 000 habitants; the mortality due to infarct and subarachnoid hemorrhages diminishes. It was not the same in presence of intracerebral hemorrhage, in which was observed an increment. …”
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Redefining Onyx HD 500 in the Flow Diversion Era by Richard Tyler Dalyai, Ciro Randazzo, George Ghobrial, L. Fernando Gonzalez, Stavropoula I. Tjoumakaris, Aaron S. Dumont, Robert H. Rosenwasser, Pascal Jabbour

“…All aneurysms were located in the anterior circulation, and three aneurysms presented as acute subarachnoid hemorrhages. Complete aneurysm occlusion was present in 19 of 21 patients (90%). …”
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