Lipoproteins predicting coronary lesion complexity in premature coronary artery disease: a supervised machine learning approach
Lp(a) levels in pCAD patients are associated with the advancement of coronary artery lesions in SS patients. An Lp(a) level of 63.5 mg/dl can be the cut-off point for the identification of subjects with SS ≥ 23. LDA-based modelling using Lp(a), LDL-C, age and gender may be an applicable tool for the preliminary identification of patients at risk of more complex coronary artery lesions.
Authors
- Agnieszka Kuchta (ORCID: https://orcid.org/0000-0003-2264-1442)
- Radosław Targoński (ORCID: https://orcid.org/0000-0001-9296-7283)
- Marta Marcinkowska (ORCID: https://orcid.org/0000-0001-5323-5637)
- Agnieszka Mickiewicz (ORCID: https://orcid.org/0000-0003-1707-3807)
- Wojciech Sobiczewski (ORCID: https://orcid.org/0000-0001-6583-9147)
- Marcin Fijałkowski (ORCID: https://orcid.org/0000-0002-2913-5457)
- Marcin Gruchała (ORCID: https://orcid.org/0000-0003-4901-2291)
- Tomasz Figatowski (ORCID: https://orcid.org/0000-0001-6120-5219)
- Piotr Kasprzyk (ORCID: https://orcid.org/0000-0002-1699-4885)
- Miłosz Jaguszewski
- Petra M. Grešner
Institutions
- Gdańsk Medical University (PL)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-04-24
- DOI
- https://doi.org/10.3389/fcvm.2025.1470500
- Citations
- 1
- Primary Topic
- Lipoproteins and Cardiovascular Health
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- Ministerstwo Edukacji i Nauki
- Gdański Uniwersytet Medyczny