AI Article Synopsis
- The study investigates which polygenic scores (PGSs) for coronary artery disease (CAD) are most effective in identifying high-risk individuals within the Italian population, highlighting the need for tailored genetic risk assessment tools.
- Using data from two independent Italian cohorts, the researchers analyzed 266 PGSs and found that 49 of them showed significantly different distributions between CAD patients and controls, with PGS003727 being the most accurate.
- The findings suggest that existing European CAD PGSs may not be uniformly applicable across different populations, emphasizing the importance of further validation for clinical use in specific regions like Italy.
Article Abstract
Background/objectives: The identification of coronary artery disease (CAD) high-risk individuals is a major clinical need for timely diagnosis and intervention. Many different polygenic scores (PGSs) for CAD risk are available today to estimate the genetic risk. It is necessary to carefully choose the score to use, in particular for studies on populations, which are not adequately represented in the large datasets of European biobanks, such as the Italian one. This work aimed to analyze which PGS had the best performance within the Italian population.
Methods: We used two Italian independent cohorts: the EPICOR case-control study (576 individuals) and the Atherosclerosis, Thrombosis, and Vascular Biology (ATVB) Italian study (3359 individuals). We evaluated 266 PGS for cardiovascular disease risk from the PGS Catalog, selecting 51 for CAD.
Results: Distributions between patients and controls were significantly different for 49 scores (-value < 0.01). Only five PGS have been trained and tested for the European population specifically. PGS003727 demonstrated to be the most accurate when evaluated independently (EPICOR AUC = 0.68; ATVB AUC = 0.80). Taking into account the conventional CAD risk factors further enhanced the performance of the model, particularly in the ATVB study (-value = 0.0003).
Conclusions: European CAD PGS could have different risk estimates in peculiar populations, such as the Italian one, as well as in various geographical macro areas. Therefore, further evaluation is recommended for clinical applicability.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11508882 | PMC |
| http://dx.doi.org/10.3390/jpm14101025 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Impact of frailty on outcomes following coronary artery bypass grafting: a systematic review and meta-analysis.
BMC Surg
December 2024
Department of Geriatric Medicine, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, 9 Jiaowei Road, Wenzhou city, Zhejiang Province, 325000, China.
Background: Coronary artery bypass grafting (CABG) remains the preferred treatment for complex multi-vessel coronary artery disease, offering substantial long-term benefits. Non-cardiac comorbidities such as frailty may significantly affect the outcomes of this procedure. However, the exact impact of frailty on CABG outcomes remains unclear, particularly given its exclusion from many pivotal revascularization trials.
View Article and Find Full Text PDFRisk Score for Two Year Mortality Following Carotid Endarterectomy Performed for Symptomatic Stenosis.
J Vasc Surg
December 2024
Department of Vascular Surgery, Red Cross Hospital, Athens, Greece.
Objective: The purpose of this study is to identify variables at the time of clinical presentation which place patients at higher risk for mortality following carotid endarterectomy (CEA) for symptomatic lesions. Further, this study will create a risk score for mortality within two years following CEA for symptomatic stenosis to help tailor future postoperative and long-term management by identifying patients who require heightened vigilance in postoperative care to facilitate survival.
Methods: The Vascular Quality Initiative (VQI) CEA module was queried for procedures performed for symptomatic (within 180 days) carotid bifurcation stenosis.
The effect of coronary artery calcifications and radiotherapy on the risk of coronary artery disease in high-risk breast cancer patients in the DBCG RT-Nation cohort.
Radiother Oncol
December 2024
Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
Background And Purpose: Radiotherapy improves outcomes for breast cancer. However, prior studies have correlated the risk of coronary artery disease (CAD) to the mean heart dose (MHD), mean dose to the left anterior descending artery (LAD_mean) and the left ventricle V5Gy (LV5). Other studies showed an increased risk of CAD for patients with pronounced coronary artery calcification (CAC) at the time of radiotherapy.
View Article and Find Full Text PDFBackground: Cardiovascular diseases are the leaders in morbidity and mortality worldwide. The most common cause of emergency hospitalization of cardiac patients is acute coronary syndrome, represented by acute forms of coronary heart disease: unstable angina and myocardial infarction. Among the young population (18-44 years old, according to WHO), in contrast to the older cohort, there has been a significant increase in cardiovascular morbidity over the last two decades.
View Article and Find Full Text PDFSimplifying coronary artery disease risk stratification: development and validation of a questionnaire-based alternative comparable to clinical risk tools.
EBioMedicine
December 2024
Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
Background: Coronary artery disease (CAD) comprises one of the leading causes of morbidity and mortality both in the European population and globally. All established clinical risk stratification scores and models require blood lipids and physical measurements. The latest reports of the European Commission suggest that attracting health professionals to collect these data can be challenging, both from a logistic and cost perspective, which limits the usefulness of established models and makes them unsuitable for population-wide screening in resource-limited settings, i.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!