Publications by authors named "Calum Grant"
Article Synopsis
- Paroxysmal Nocturnal Haemoglobinuria (PNH) is a rare disorder that is difficult to diagnose due to diverse symptoms and a lack of awareness, often resulting in misdiagnosis.
- This study explores the use of a machine learning model, specifically the XGBoost algorithm, to identify undiagnosed PNH patients using electronic health records from the UK, involving 131 PNH patients and over 593,000 controls.
- The model achieved a recall rate of 27% for PNH patients, with a specificity of 99.99% for controls, and indicated that nearly 1 in 5 flagged patients may need further investigation for PNH, highlighting key symptoms like aplastic anemia and panc
Recent recommendations describe a set of core anatomical structures to identify on ultrasound for the performance of basic blocks in ultrasound-guided regional anesthesia (UGRA). This project aimed to generate consensus recommendations for core structures to identify during the performance of intermediate and advanced blocks. An initial longlist of structures was refined by an international panel of key opinion leaders in UGRA over a three-round Delphi process.
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- The study aims to standardize ultrasound identification of key anatomical structures for seven basic ultrasound-guided regional anesthesia (UGRA) blocks due to the lack of universally agreed criteria.
- An international consensus was established using a modified Delphi process, allowing experts to anonymously refine a long-list of structures into strong and weak recommendations based on participant feedback.
- Ultimately, strong recommendations were made for 35 structures during orientation scanning and 28 for the block view, while weak recommendations covered 36 and 20 structures, respectively, promoting consistent practice and education in UGRA.
Background: Video consultation (VC) is an emerging consultation mode in general practice. The challenges and benefits of implementing it are not necessarily realised until it is in use, and being experienced by patients and clinicians. To date, there has been no review of the evidence about how patients and clinicians experience VC in general practice.
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- The study explores how ultrasound can be used to safely guide procedures on the anterior abdominal wall by assessing the location and size of epigastric arteries.
- Participants aged 67.9 on average underwent ultrasound imaging at three key points on the abdominal wall.
- Results indicated that arteries were most visible at the umbilicus and ASIS, with the TPP being the least reliable, suggesting the TPP is the safest site for procedures involving the rectus sheath.
Multiple medical interventions require percutaneous instrumentation of the anterior abdominal wall, all of which carry a potential for vascular trauma. We assessed the presence, position, and size of the anterior abdominal wall superior and inferior (deep) epigastric arteries to determine the safest site with respect to vascular anatomy of the rectus sheath. In a review of 100 arterial phase, contrast-enhanced abdominal computed tomography scans, anterior abdominal wall arteries were assessed bilaterally at three axial planes: transpyloric, umbilicus, and anterior superior iliac spine (ASIS).
View Article and Find Full Text PDFRegional anesthesia relies on a sound understanding of anatomy and the utility of ultrasound in identifying relevant structures. We assessed the ability to identify the point at which the superficial peroneal nerve (SPN) emerges through the deep fascia by ultrasound on 26 volunteers (mean age 27.85 years ± 13.
View Article and Find Full Text PDFAtherosclerosis is intimately coupled to blood flow by the presence of predilection sites. The coupling is through mechanotransduction of endothelial cells and approximately 2000 gene are associated with this process. This paper describes a new platform to study and identify new signalling pathways in endothelial cells covering an atherosclerotic plaque.
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