98%
921
2 minutes
20
Over the past decades, there has been a notable increase in the risk of Cardiovascular Disease (CVD), even among younger individuals. Policymakers and the health community have revised CVD prevention programs to include younger people in order to take these new circumstances into account. A variety of CVD risk assessment tools have been developed in the past years with the aim of identifying potential CVD candidates at the population level; however, they can hardly discriminate against younger individuals at high risk of CVD.Therefore, in addition to the traditional 10-year CVD risk assessment, lifetime CVD risk assessment has recently been recommended by the American Heart Association/American College of Cardiology and the European Society of Cardiology prevention guidelines, particularly for young individuals. Methodologically, the benefits of these lifetime prediction models are the incorporation of left truncation observed in survival curves and the risk of competing events which are not considered equivalent in the common survival analysis. Thus, lifetime risk data are easily understandable and can be utilized as a risk communication tool for Public Health surveillance. However, given the peculiarities behind these estimates, structural harmonization should be conducted in order to create a sex-, race-specific tool that is sensitive to accurately identifying individuals who are at high risk of CVD. In this review manuscript, we present the most commonly used lifetime CVD risk tools, elucidate several methodological and critical points, their limitations, and the rationale behind their integration into everyday clinical practice.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11440323 | PMC |
http://dx.doi.org/10.2174/011573403X311031240703080650 | DOI Listing |
Curr Atheroscler Rep
September 2025
Department of Medicine, Division of Cardiovascular Disease, University of Alabama at Birmingham, 521 19th Street South-GSB 444, Birmingham, AL, 35233, USA.
Purpose Of Review: This review examines cardiovascular disease (CVD) risk prediction models relevant to older adults, a rapidly expanding population with elevated CVD risk. It discusses model characteristics, performance metrics, and clinical implications.
Recent Findings: Some models have been developed specifically for older adults, while several others consider a broader age range, including some older individuals.
Radiology
September 2025
Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Plc, Box 1234, New York, NY 10029.
Background The prognostic value of baseline visual emphysema scoring at low-dose CT (LDCT) in lung cancer screening cohorts is unknown. Purpose To determine whether a single visual emphysema score at LDCT is predictive of 25-year mortality from all causes, chronic obstructive pulmonary disease (COPD), and cardiovascular disease (CVD). Materials and Methods In this prospective cohort study, asymptomatic adults aged 40-85 years with a history of smoking underwent baseline LDCT screening for lung cancer between June 2000 and December 2008.
View Article and Find Full Text PDFBr J Nutr
September 2025
Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Although numerous clinical studies suggest that ginseng supplementation may benefit cardiovascular disease (CVD) risk factors, results remain inconclusive. This systematic review and meta-analysis evaluated the effects of ginseng supplementation on CVD-related risk factors. Relevant studies were identified through electronic searches in Embase, Web of Science, Scopus, PubMed, and CENTRAL up to August 2024.
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
Department of Cardiology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou Province, China.
The relationship between dietary habits, including the consumption of eggs, dairy products, and sugar, and the development of disease is well-established. However, further investigation is required to elucidate the precise associations between these dietary habits and cardiovascular disease (CVD). The objective of this study was to analyze existing genome-wide association studies in order to identify causal relationships between dietary habits and CVD.
View Article and Find Full Text PDFJMIR Aging
September 2025
Department of Geriatrics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Sarcopenia is associated with cardiovascular diseases (CVDs). However, whether changes in sarcopenia status affect CVD risk remains unclear. In addition, how indoor fuel use impacts the sarcopenia transition process is less well studied.
View Article and Find Full Text PDF