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Superior Outcomes with Ultrasound-Guided Hyaluronidase for Impending Filler-Induced Facial Skin Necrosis: A Systematic Review and Pilot Meta-Analysis.
Aesthetic Plast Surg
January 2025
Department of Plastic and Reconstructive Surgery, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Background: Hyaluronidase remains the mainstay treatment for impending filler-induced facial skin necrosis. Complete resolution of impending skin necrosis following hyaluronidase injection is estimated to be around 77.8%.
View Article and Find Full Text PDFAnalysis of scoliosis rod deformation after cutting with a surgical rod cutter.
Spine Deform
January 2025
Department of Orthopedic Surgery, Children's Mercy Kansas City, Kansas City, Missouri, USA.
Purpose: Scoliosis is a complex multi-dimensional deformity of the spine that is common in children and adults. Of the various treatments for scoliosis, one is posterior spinal fusion with instrumentation. The rods typically used are composed of titanium or cobalt-chrome.
View Article and Find Full Text PDFThe genetics of neurodegenerative diseases is the genetics of age-related damage clearance failure.
Mol Psychiatry
January 2025
Department of Psychological Medicine and Clinical Neuroscience, Cardiff University, United Kingdom and UK Dementia Research Institute at Cardiff, Cardiff University, Cardiff, UK.
In this perspective we draw together the data from the genome wide association studies for Alzheimer's disease, Parkinson's disease and the tauopathies and reach the conclusion that in each case, most of the risk loci are involved in the clearance of the deposited proteins: in Alzheimer's disease, the microglial removal of Aβ, in the synucleinopathies, the lysosomal clearance of synuclein and in the tauopathies, the removal of tau protein by the ubiquitin proteasome. We make the point that most loci identified through genome wide association studies are not strictly pathogenic but rather relate to failures to remove age related damage. We discuss these issues in the context of copathologies in elderly individuals and the prediction of disease through polygenic risk score analysis at different ages.
View Article and Find Full Text PDFPrediction of mortality in heart failure by machine learning. Comparison with statistical modeling.
Eur J Intern Med
January 2025
Istituti Clinici Scientifici Maugeri, IRCCS, Institute of Bari, Bari, Italy.
Background: Assessing the relative performance of machine learning (ML) methods and conventional statistical methods in predicting prognosis in heart failure (HF) still remains a challenging research field.
Methods: The primary outcome was three-year mortality. The following 5 machine learning approaches were used for modeling: Random Forest (RF), Gradient Boosting, Extreme Gradient Boosting (XGBoost), Support Vector Machine, and Multilayer perceptron.
Background: Reduced insulin secretion is linked to diabetes and cardiovascular disease (CVD), but its role in non-diabetic CVD patients is unclear. The homeostasis model assessment of β-cell function (HOMA-β) measures pancreatic β-cell function. This study investigated the association between HOMA-β and adverse cardiovascular events in non-diabetic CVD patients.
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