AIMC Topic: Lipoprotein(a)

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Evaluation of a Machine Learning-Guided Strategy for Elevated Lipoprotein(a) Screening in Health Systems.

Circulation. Genomic and precision medicine Jan 23, 2025
BACKGROUND: While universal screening for Lipoprotein(a) [Lp(a)] is increasingly recommended, <0.5% of patients undergo Lp(a) testing. Here, we assessed the feasibility of deploying Algorithmic Risk Inspection for Screening Elevated Lp(a) (ARISE), a ...
Atherosclerosis Lipoprotein(a) Middle Aged Mass Screening Electronic Health Records Female Adult Male Aged Humans Machine Learning
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Random Survival Forest Machine Learning for the Prediction of Cardiovascular Events Among Patients With a Measured Lipoprotein(a) Level: A Model Development Study.

Circulation. Genomic and precision medicine Jan 23, 2025
BACKGROUND: Established risk models may not be applicable to patients at higher cardiovascular risk with a measured Lp(a) (lipoprotein[a]) level, a causal risk factor for atherosclerotic cardiovascular disease.
Female Risk Factors Aged Humans Machine Learning Proportional Hazards Models Lipoprotein(a) Middle Aged Risk Assessment Male Cardiovascular Diseases
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A machine learning algorithm for the identification elevated Lp(a) in patients with, or high-risk of having, coronary heart disease.

International journal of cardiology Oct 2, 2024
BACKGROUND: Decision tree algorithms, obtained by machine learning, provide clusters of patients with similar clinical patterns by the identification of variables that best merge with a given dependent variable.
Aged Adult Male Machine Learning Female Humans Algorithms Risk Factors Coronary Disease Middle Aged Spain Registries Lipoprotein(a)
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Development and multinational validation of an algorithmic strategy for high Lp(a) screening.

Nature cardiovascular research May 9, 2024
Elevated lipoprotein (a) (Lp(a)) is associated with premature atherosclerotic cardiovascular disease. However, fewer than 0.5% of individuals undergo Lp(a) testing, limiting the evaluation and use of novel targeted therapeutics currently under develo...
Predictive Value of Tests Machine Learning Lipoprotein(a) Algorithms Biomarkers Female Decision Support Techniques Humans Cardiovascular Diseases Middle Aged United States Mass Screening Adult Risk Assessment Male Reproducibility of Results Aged
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Risk stratification of ST-segment elevation myocardial infarction (STEMI) patients using machine learning based on lipid profiles.

Lipids in health and disease May 6, 2021
BACKGROUND: Numerous studies have revealed the relationship between lipid expression and increased cardiovascular risk in ST-segment elevation myocardial infarction (STEMI) patients. Nevertheless, few investigations have focused on the risk stratific...
Percutaneous Coronary Intervention Cholesterol, LDL ST Elevation Myocardial Infarction Apolipoprotein A-I Lipoprotein(a) Patient Readmission Kaplan-Meier Estimate Cholesterol, HDL Apolipoprotein B-100 Lipid Metabolism Male Triglycerides Patient Selection Unsupervised Machine Learning Female Risk Assessment Middle Aged Principal Component Analysis Humans Aged Prognosis
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