Purpose of the study The current study had two goals: first, it compared the radiological and functional results of the ipsilateral shaft and proximal femur fractures treated by using two different methods, i.e., single implant vs dual implants. The second goal was to devise a clinical algorithm for guiding and managing such fractures. Methods This study was conducted in a level 1 trauma center and included 34 patients with concomitant ipsilateral fractures of the proximal femur and shaft of the femur. The patients were divided into two groups as per our clinical algorithm. Group I, comprising of 16 patients, were treated with a single implant like the proximal femoral nail (PFN) or proximal femoral nail antirotation (PFNA2). Group II of dual implants, comprising of 18 patients, were treated with two types of implants separately for proximal and shaft fracture. Results All patients were followed at monthly intervals up to six months, then at three monthly intervals up to one year, with a minimal follow-up of one year of every patient. On clinical evaluation by Friedman-Wyman criteria, in group I, seven patients had a fair outcome, eight patients had a good outcome, and one patient had a poor outcome, while in group II, eight patients had a fair outcome, nine patients had a good outcome, and one patient had a poor outcome. No patient developed non-union or avascular necrosis of the femoral head in any of the groups. Conclusion For concurrent ipsilateral diaphyseal and proximal femur fractures, both dual and single implants are equally effective alternatives if properly applied as per our clinical algorithm. Implant selection primarily depends on the pattern of injury, and our clinical algorithm can be a suitable guide for guiding the selection of implants.
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http://dx.doi.org/10.7759/cureus.55359 | DOI Listing |
Alzheimers Dement
December 2024
University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA.
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Alzheimers Dement
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Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau - Autonomous University of Barcelona, Barcelona, Catalonia, Spain.
Background: Alzheimer's and related disorders (ADRD) represent a range of neurodegenerative conditions characterized by abnormal protein deposits in the brain. Despite advances, there is a need for enhanced diagnostic and treatment approaches that acknowledge the diversity of ADRD. This project introduces the Alzheimer's and Related Disorders Multicenter Archive (ARMA), a collaborative platform with an advanced Electronic Data Capture (EDC) system linked to Electronic Medical Records (EMR) designed to refine ADRD diagnosis and natural history understanding, thus informing precision medicine.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Relecura, Bangalore, karnataka, India.
Background: Clinical Dementia Rating (CDR) and its evaluation have been important nowadays as its prevalence in older ages after 60 years. Early identification of dementia can help the world to take preventive measures as most of them are treatable. The cellular Automata (CA) framework is a powerful tool in analyzing brain dynamics and modeling the prognosis of Alzheimer's disease.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Background: The prohibitive costs of drug development for Alzheimer's Disease (AD) emphasize the need for alternative in silico drug repositioning strategies. Graph learning algorithms, capable of learning intrinsic features from complex network structures, can leverage existing databases of biological interactions to improve predictions in drug efficacy. We developed a novel machine learning framework, the PreSiBOGNN, that integrates muti-modal information to predict cognitive improvement at the subject level for precision medicine in AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Background: Alzheimer's disease (AD) presents challenges with its complex neurodegenerative mechanisms, leading to a high failure rate in clinical trials. While drug repositioning offers a cost-effective solution, the lack of a subtype-driven strategy hinders success. Previously, we defined genetic subtypes and their prioritized genes for each genetic subtype (Sahelijo et al.
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