Medical principles and practice : international journal of the Kuwait University, Health Science Centre
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HLA typing serves as a standard practice in hematopoietic stem cell transplantation to ensure compatibility between donors and recipients, preventing the occurrence of allograft rejection and graft-versus-host disease. Conventional laboratory methods that have been widely employed in the past few years, including sequence-specific primer PCR and sequencing-based typing (SBT), currently face the risk of becoming obsolete. This risk stems not only from the extensive diversity within HLA genes but also from the rapid advancement of next-generation sequencing and third-generation sequencing technologies. ⋯ It explores how the adoption of third-generation sequencing technologies can revolutionize the field by offering improved accuracy, reduced ambiguity, and enhanced assessment of compatibility in HSCT. Embracing these cutting-edge technologies is essential to advancing the success rates and outcomes of hematopoietic stem cell transplantation. This review underscores the importance of staying at the forefront of HLA typing techniques to ensure the best possible outcomes for patients undergoing HSCT.
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The aim of this study was to investigate the association between supplementation containing folic acid only (FAO) or multiple micronutrients containing folic acid and the risk for hypertensive disorders in pregnancy (HDP). ⋯ Periconceptional FAO supplementation may reduce the risk for HDP, especially GH. The protective effects are greater among women with a normal prepregnancy BMI and those ≥30 years old.
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Multicenter Study Comparative Study
A Comparison of Systematic, Targeted and Combined Biopsy Using Machine Learning for Prediction of Prostate Cancer Risk: A Multi-Center Study.
The aims of the study were to construct a new prognostic prediction model for detecting prostate cancer (PCa) patients using machine-learning (ML) techniques and to compare those models across systematic and target biopsy detection techniques. ⋯ The RF model generated and presented an excellent prediction capability for the risk of PCa detected by targeted and combined biopsy compared to systematic biopsy alone. ML models can prevent missed PCa diagnoses by serving as a screening tool.
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Despite advances in treatment, no-reflow, large thrombus burden (LTB), and myocardial blush grade (MBG) are associated with adverse cardiovascular outcomes in ST-elevation myocardial infarction (STEMI) patients undergoing percutaneous coronary intervention (PCI). Aortic arch calcification (AAC) is associated with subclinical atherosclerosis and adverse cardiovascular events. We aimed to examine the relationship between AAC and unfavorable angiographic outcomes such as no-reflow, MBG, and LTB in STEMI patients undergoing PCI. ⋯ AAC can be used as a reliable indicator in predicting no-reflow, MBG 0/1, and LTB in STEMI patients undergoing primary PCI.