Browsing by Author "Juan P Nogueira"

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    Applicability of Artificial Intelligence in the Field of Clinical Lipidology: A Narrative Review
    (2023-12-19) Walter Masson; Pablo Corral; Juan P Nogueira; Augusto Lavalle-Cobo
    Artificial intelligence (AI) has rapidly expanded its applications in medicine, including clinical lipidology. This narrative review examines the potential uses of AI, machine learning (ML), and deep learning (DL) in the diagnosis, prediction, and management of lipid disorders. Relevant studies were identified through searches of major scientific databases. Current applications include familial hypercholesterolemia detection, low-density lipoprotein cholesterol estimation, prediction of lipid goal attainment, identification of barriers to statin use, and assessment of lipid discordance. AI-based approaches show promising diagnostic and predictive performance. However, ethical concerns, transparency, reproducibility, methodological limitations, and population-specific applicability require further research and appropriate regulatory frameworks.
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    Elevated Lipoprotein(a) Levels and Atrial Fibrillation: A Systematic Review
    (2023-07-17) Walter Masson; Leandro Barbagelata; Juan P Nogueira; Pablo Corral; Augusto Lavalle-Cobo; Francisco J. Romeo
    This systematic review evaluated the association between elevated lipoprotein(a) [Lp(a)] levels or related genetic variants and atrial fibrillation (AF). Following PRISMA guidelines, observational studies assessing Lp(a) concentrations or single-nucleotide polymorphisms associated with AF were systematically reviewed. Eleven studies involving 1,246,817 patients were included, comprising cross-sectional, cohort, and Mendelian randomization designs. Findings were heterogeneous: studies reported positive, inverse, or no significant associations between Lp(a) and AF. This variability prevented definitive conclusions regarding its clinical relevance. Current evidence therefore remains inconsistent, highlighting the need for further well-designed studies across diverse populations to clarify the potential relationship between Lp(a) and atrial fibrillation.