Objective: The objective of the RAFT-Altiplano project (RAFT: Réseau en Afrique Francophone pour la Télémédecine, or African Francophone Telemedicine Network) is to evaluate the viability, potential, and risks of implementing and developing a telemedicine network in the context of a developing country-specifically, the Altiplano region of Bolivia-to improve access to medical care and continuing education in a rural area. The activities described in this report took place between 2011 and 2013.
Methods: Digital telemedicine equipment was donated to the health centers and a Microsoft®-based platform capable of integration with other technologies (using standardized formats) was developed to manage documents and clinical content electronically. Health professionals were trained in teleconsultation and the teleconsultation workflow was designed. The tele-education system used is Dudal, which requires only a small bandwidth.
Results: After three years of implementation, an organized working structure of teleconsultation and tele-education tools, adapted to the Latin American context, is now in place and connections have been established with hospitals, institutions, and health centers. The project has improved access to specialized medical care in remote health centers and third-level hospitals in urban areas, and it has become the foundation for development of the national project "TeleSalud for Bolivia" promoted by the Ministry of Health, which involves use of the new Bolivian satellite, Túpac Katari.
Conclusions: It is viable to develop and set up telemedicine tools to serve the population in remote regions of Bolivia when they are made available to government and municipal health institutions and communication between them and the health centers takes place in a coordinated manner. The sharing of experiences, challenges, and risks encountered is very useful in designing and implementing the telemedicine project "TeleSalud for Bolivia" on a national scale.
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Cancer Rep (Hoboken)
January 2025
Department of Medical Biotechnology, School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Background: Bioinformatics analysis of hepatocellular carcinoma (HCC) expression profiles can aid in understanding its molecular mechanisms and identifying new targets for diagnosis and treatment.
Aim: In this study, we analyzed expression profile datasets and miRNA expression profiles related to HCC from the GEO using R software to detect differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs).
Methods And Results: Common DEGs were identified, and a PPI network was constructed using the STRING database and Cytoscape software to identify hub genes.
Aliment Pharmacol Ther
January 2025
Gastrointestinal and Liver Theme, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre (BRC), Nottingham University Hospitals NHS Trust and the University of Nottingham, School of Medicine, Queen's Medical Centre, Nottingham, UK.
Background: Colorectal cancer (CRC) is the third most common cancer in the United Kingdom and the second largest cause of cancer death.
Aim: To develop and validate a model using available information at the time of faecal immunochemical testing (FIT) in primary care to improve selection of symptomatic patients for CRC investigations.
Methods: We included all adults (≥ 18 years) referred to Nottingham University Hospitals NHS Trust between 2018 and 2022 with symptoms of suspected CRC who had a FIT.
J Osteopath Med
January 2025
McAllen Department of Trauma, South Texas Health System, McAllen, TX, USA.
Context: The injuries caused by falls-from-height (FFH) are a significant public health concern. FFH is one of the most common causes of polytrauma. The injuries persist to be significant adverse events and a challenge regarding injury severity assessment to identify patients at high risk upon admission.
View Article and Find Full Text PDFGenet Epidemiol
January 2025
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.
Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C).
View Article and Find Full Text PDFCancer Med
January 2025
The Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah, USA.
Introduction: The purpose of this study was to evaluate the association between body composition, overall survival, odds of receiving treatment, and patient-reported outcomes (PROs) in individuals living with metastatic non-small-cell lung cancer (mNSCLC).
Methods: This retrospective analysis was conducted in newly diagnosed patients with mNSCLC who had computed-tomography (CT) scans and completed PRO questionnaires close to metastatic diagnosis date. Cox proportional hazard models and logistic regression evaluated overall survival and odds of receiving treatment, respectively.
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