Publications by authors named "Justin Sim"
Article Synopsis
- Femoral access (TFA) for neuroendovascular procedures poses challenges for patients with a high body mass index (BMI ≥35 kg/m), and this study compares it to radial access (TRA).
- A total of 335 patients were analyzed, revealing that bleeding complications were more common in the TFA group (7%) compared to the TRA group (2%), along with longer procedure and fluoroscopy times for femoral access.
- The findings suggest that TRA may offer safer and more efficient outcomes for very high BMI patients in neuroendovascular procedures, with no significant differences in other complications or hospital stay durations.
Central nervous system infection in the intensive care unit: Development and validation of a multi-parameter diagnostic prediction tool to identify suspected patients.
PLoS One
January 2022
Background: Central nervous system infections (CNSI) are diseases with high morbidity and mortality, and their diagnosis in the intensive care environment can be challenging. Objective: To develop and validate a diagnostic model to quickly screen intensive care patients with suspected CNSI using readily available clinical data.
Methods: Derivation cohort: 783 patients admitted to an infectious diseases intensive care unit (ICU) in Oswaldo Cruz Foundation, Rio de Janeiro RJ, Brazil, for any reason, between 01/01/2012 and 06/30/2019, with a prevalence of 97 (12.
Growing evidence suggests that chronic subdural hematoma (CSDH) may have long-term adverse effects even after surgical evacuation. Hematoma recurrence is commonly reported as a short-term, postoperative outcome measure for CSDH, but other measures such as hematoma resolution may provide better insight regarding mechanisms behind longer-term sequelae. This study aims to characterize postoperative resolution times and identify predictors for this relatively unexplored metric.
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- Perihematomal edema (PHE) is a key indicator of secondary brain injury in patients with spontaneous intracerebral hemorrhage, but measuring it can be difficult.
- This study developed and validated a fully automated segmentation algorithm for quickly and accurately analyzing PHE volumes from CT scans of patients.
- The automated algorithm showed strong correlation with manual and semiautomated methods and processed images significantly faster, suggesting its potential for efficient clinical use in assessing PHE.
Article Synopsis
- The study aims to create and validate an automated algorithm for measuring hematoma volumes in patients with spontaneous intracerebral hemorrhage (ICH) using deep learning methods.
- It involved analyzing CT scans from 300 adults, training the algorithm on 260 scans, and then testing its performance against manual methods on 40 scans.
- The results showed that the automated algorithm provided reliable volume measurements quickly, proving to be faster and just as accurate as manual and semi-automated methods, indicating a need for further validation.
Stroke is a leading cause of death and disability worldwide and an increasing number of ischemic stroke patients are undergoing pharmacological and mechanical reperfusion. Both human and experimental models of reperfused ischemic stroke have implicated the complement cascade in secondary tissue injury. Most data point to the lectin and alternative pathways as key to activation, and C3a and C5a binding of their receptors as critical effectors of injury.
View Article and Find Full Text PDFMalignant glaucoma (MG), also known as aqueous misdirection and cilio-vitreo-lenticular block, is an infrequent cause of secondary angle closure glaucoma. Despite conventional treatment, it often has a poor visual outcome. It is recognized clinically by raised intraocular pressure associated with shallowing of the peripheral and central anterior chamber in the presence of a patent peripheral iridotomy/iridectomy.
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