Background: Whether newer risk markers for coronary heart disease (CHD) improve CHD risk prediction remains unclear.
Objective: To assess whether newer risk markers for CHD risk prediction and stratification improve Framingham risk score (FRS) predictions.
Design: Prospective population-based study.
Setting: The Rotterdam Study, Rotterdam, the Netherlands.
Participants: 5933 asymptomatic, community-dwelling participants (mean age, 69.1 years [SD, 8.5]).
Measurements: Traditional CHD risk factors used in the FRS (age, sex, systolic blood pressure, treatment of hypertension, total and high-density lipoprotein cholesterol levels, smoking, and diabetes) and newer CHD risk factors (N-terminal fragment of prohormone B-type natriuretic peptide levels, von Willebrand factor antigen levels, fibrinogen levels, chronic kidney disease, leukocyte count, C-reactive protein levels, homocysteine levels, uric acid levels, coronary artery calcium [CAC] scores, carotid intima-media thickness, peripheral arterial disease, and pulse wave velocity).
Results: Adding CAC scores to the FRS improved the accuracy of risk predictions (c-statistic increase, 0.05 [95% CI, 0.02 to 0.06]; net reclassification index, 19.3% overall [39.3% in those at intermediate risk, by FRS]). Levels of N-terminal fragment of prohormone B-type natriuretic peptide also improved risk predictions but to a lesser extent (c-statistic increase, 0.02 [CI, 0.01 to 0.04]; net reclassification index, 7.6% overall [33.0% in those at intermediate risk, by FRS]). Improvements in predictions with other newer markers were marginal.
Limitation: The findings may not be generalizable to younger or nonwhite populations.
Conclusion: Among 12 CHD risk markers, improvements in FRS predictions were most statistically and clinically significant with the addition of CAC scores. Further investigation is needed to assess whether risk refinements using CAC scores lead to a meaningful change in clinical outcome. Whether to use CAC score screening as a more routine test for risk prediction requires full consideration of the financial and clinical costs of performing versus not performing the test for both persons and health systems.
Primary Funding Source: Netherlands Organization for Health Research and Development (ZonMw).
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http://dx.doi.org/10.7326/0003-4819-156-6-201203200-00006 | DOI Listing |
JAMA Netw Open
January 2025
Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora.
Importance: A recent advisory from the American Heart Association delineated the potential benefits of developmental care for hospitalized children with congenital heart disease (CHD) and a critical gap in research evaluating the association of such inpatient programs with neurodevelopmental outcomes.
Objective: To investigate associations between the Cardiac Inpatient Neurodevelopmental Care Optimization (CINCO) program interventions, delirium, and neurodevelopment in young children (newborn through age 2 years) hospitalized with CHD.
Design, Setting, And Participants: This cohort study used quality improvement data from inpatient cardiac units at a tertiary care children's hospital in the US.
J Diabetes Investig
January 2025
Department of Diabetes, Endocrinology and Metabolism, Center Hospital, National Center for Global Health and Medicine, Tokyo, Japan.
Aim: To determine the epidemiological characteristics and risk factors for heart failure (HF) among Japanese patients with type 2 diabetes.
Methods: A retrospective cohort analysis, using J-DREAMS database, was conducted from December 2015 to January 2020 with type 2 diabetes. The primary objectives were to describe patient characteristics stratified by HF history at baseline and new HF events during follow-up.
Front Cardiovasc Med
January 2025
Shengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, Fujian, China.
Background: Depression is being increasingly acknowledged as an important risk factor contributing to coronary heart disease (CHD). Currently, there is no predictive model specifically designed to evaluate the risk of coronary heart disease among individuals with depression. We aim to develop a machine learning (ML) model that will analyze risk factors and forecast the probability of coronary heart disease in individuals suffering from depression.
View Article and Find Full Text PDFRofo
January 2025
Department of Radiology and Nuclear Medicine, Heidelberg University Medical Faculty Mannheim, Mannheim, Germany.
The need for effective early detection and optimal therapy monitoring of cardiovascular diseases as the leading cause of death has led to an adaptation of the guidelines with a focus on cardiac computed tomography (CCTA) in patients with a low to intermediate risk of coronary heart disease (CHD). In particular, the introduction of photon-counting computed tomography (PCCT) in CT diagnostics promises significant advances through higher temporal and spatial resolution, and also enables advanced texture analysis, known as radiomics analysis. Originally developed in oncological imaging, radiomics analysis is increasingly being used in cardiac imaging and research.
View Article and Find Full Text PDFEur J Prev Cardiol
January 2025
Department of Cardiology, Kailuan General Hospital, Tangshan 063001, Hebei, CN.
Background: The precise pathways connecting insulin resistance (IR) to atherosclerotic cardiovascular disease (ASCVD) remain undefined. The present study aimed to examine the mediating role of arterial stiffness in the association between IR and ASCVD, providing epidemiology insights into the potential mechanisms driving IR to incident ASCVD.
Methods: A total of 59,777 participants from the Kailuan Study Arterial Stiffness Subcohort who were free of ASCVD at baseline were enrolled in the present study.
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