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The Argentine Registry on Lipoprotein(a) (LP(a)), orchestrated by the Argentine Group for LP(a) Study, stands as a pioneering and extensive prospective initiative. This registry systematically collects geolocation data, including patient postal codes, demographic information, and a multifaceted array of health parameters to unravel the intricate associations surrounding LP(a) levels.
The dataset encompasses diverse patient characteristics, ranging from standard metrics like blood pressure, weight, and race to broader factors such as diabetes, smoking habits, menopausal status, and hypothyroidism. This holistic approach enables a nuanced exploration of the interplay between LP(a) levels and various risk factors, providing invaluable insights for both clinical and public health considerations.
One distinctive feature of this registry lies in its focus on medication history, shedding light on the impact of routine pharmaceutical interventions on LP(a) profiles. Additionally, it delves into the intricate web of inflammatory diseases, recognizing their potential role in LP(a) modulation.
Genetic predispositions are meticulously examined, with a specific emphasis on identifying homozygous and heterozygous variants associated with hypercholesterolemia. This genetic dimension adds a layer of complexity to the understanding of LP(a) dynamics, contributing significantly to the ongoing discourse on cardiovascular risk.
The prospective nature of this registry allows for dynamic analyses, fostering a continuous exploration of emerging patterns and trends. By amalgamating geographical, clinical, and genetic data, the Argentine LP(a) Registry emerges as a comprehensive platform poised to unlock novel facets of LP(a) biology and its implications for cardiovascular health. As the dataset matures, it holds the promise of guiding personalized interventions and refining risk stratification strategies, thereby advancing the landscape of preventive cardiovascular care.
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Inclusion and exclusion criteria
Inclusion Criteria: Adult patients with validated Lp(a) values -
Exclusion Criteria: Associated pathologies that can increase the Lp(a) value in a non-specific manner
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Central trial contact
Nicolás F Renna, MD PhD FESC; Pablo Corral, MD
Data sourced from clinicaltrials.gov
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