This study aims to identify risk factors for secondary venous thromboembolism (VTE) in stroke patients and establish a nomogram, an accurate predictor of probability of VTE occurrence during hospitalization in stroke patients. Medical Information Mart for Intensive Care IV (MIMIC-IV) database of critical care medicine was utilized to retrieve information of stroke patients admitted to the hospital between 2008 and 2019. Patients were randomly allocated into train set and test set at 7:3.
View Article and Find Full Text PDFBackground And Objectives: Aneurysmal subarachnoid hemorrhage is strongly associated with symptomatic cerebral vasospasm. This study aims to investigate whether a quantitative measure of aneurysmal subarachnoid hematoma by 3D Slicer is more valuable for vasospasm risk prediction compared with modified Fisher scale and the new scale by Eagles.
Materials And Methods: We performed a retrospective research of Digital Imaging and Communications in Medicine format (DICOM) in aneurysmal patients treated at our institution from 2019 to 2020.
Purpose: This study aimed to explore circular RNA (circRNA) hsa_circ_0000690 as a potential biomarker for diagnosis and prognosis of intracranial aneurysm (IA) and its relationship with clinical factors and complications of IA.
Material/methods: 216 IA patients admitted to the neurosurgery department of our hospital from January 2019 to December 2020 were selected as the experimental group, and 186 healthy volunteers were selected as the control group. The expression of hsa_circ_0000690 in peripheral blood was detected by quantitative real-time PCR, and its diagnostic value was assessed by receiver operating characteristic curve.
Object: To assess the risk factors for and surgical treatment of delayed trapped temporal horn (dTTH) in patients who had undergone removal of lateral ventricular trigone meningioma.
Method: Patients with lateral ventricular trigone meningioma treated at our institution from 2011 to 2015 were identified. Predictors for dTTH were determined using logistic regression.
Microcystic meningioma (MM) is a rare subtype of intracranial meningiomas, with clinical and radiologic features not well characterized in the literature. Based on our experience, we propose a classification system of intracranial MMs. We reviewed the medical records, radiographic studies, and operative notes of a group of consecutive patients with intracranial MM.
View Article and Find Full Text PDF