Objectives: The aim of the study was to compare the coronary artery calcium score (CACS) and computed tomography coronary angiography (CTCA) for the assessment of non-obstructive/obstructive coronary artery disease (CAD) in high-risk asymptomatic subjects.
Methods: Two hundred and thirteen consecutive asymptomatic subjects (113 male; mean age 53.6 +/- 12.4 years) with more than one risk factor and an inconclusive or unfeasible non-invasive stress test result underwent CACS and CTCA in an outpatient setting. All patients underwent conventional coronary angiography (CAG). Data from CACS (threshold for positive image: Agatston score 1/100/1,000) and CTCA were compared with CAG regarding the degree of CAD (non-obstructive/obstructive; or=50% lumen reduction).
Results: The mean calcium score was 151 +/- 403 and the prevalence of obstructive CAD was 17% (8% one-vessel and 10% two-vessel disease). Per-patient sensitivity, specificity, positive and negative predictive values of CACS were: 97%, 75%, 45%, and 100%, respectively (Agatston >or=1); 73%, 90%, 60%, and 94%, respectively (Agatston >or=100); 30%, 98%, 79%, and 87%, respectively (Agatston >or=1,000). Per-patient values for CTCA were 100%, 98%, 97%, and 100%, respectively (p < 0.05). CTCA detected 65% prevalence of all CAD (48% non-obstructive), while CACS detected 37% prevalence of all CAD (21% non-obstructive) (p < 0.05).
Conclusion: CACS proved inadequate for the detection of obstructive and non-obstructive CAD compared with CTCA. CTCA has a high diagnostic accuracy for the detection of non-obstructive and obstructive CAD in high-risk asymptomatic patients with inconclusive or unfeasible stress test results.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s00330-009-1612-2 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Risk factors analysis of hypokalemia after radical resection of esophageal cancer and establishment of a nomogram risk prediction model.
Front Surg
January 2025
Department of Cardio-Thoracic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Objective: This study aimed to explore the risk factors of hypokalemia after radical resection of esophageal cancer (EC) and establish a nomogram risk prediction model to evaluate hypokalemia risk after esophagectomy. Thus, this study provides a reference for the clinical development of intervention measures.
Methods: Clinical data of EC patients who underwent radical surgery from January 2020 to November 2022 in the First Affiliated Hospital of Guangxi Medical University were retrospectively collected.
Association between descending aorta wall thickness or wall area and cardiovascular disease risk factors in cardiovascular disease-free patients: a study based on water-calcium material decomposition and subtraction-based computed tomography dark-blood imaging.
Quant Imaging Med Surg
January 2025
Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Background: Due to the low contrast between the vascular lumen and vessel wall, conventional computed tomography (CT) is not an effective method for visualizing the vessel wall. The purpose of this study was to assess the feasibility of vessel wall visualization using contrast-enhanced dual-energy CT (DECT)-derived water-calcium material decomposition (WMD) and subtraction-based dark-blood imaging (DBI). An additional objective of this study was to determine the association of descending aorta wall thickness (WT) and wall area (WA) with cardiovascular disease (CVD) risk factors and to ascertain the potential of DECT-derived WT and WA as image markers for identifying individuals at high risk for future CVD.
View Article and Find Full Text PDFPlant-based dietary patterns, nutrient intake, growth, and body composition in childhood: Results from a prospective population-based study.
Clin Nutr
January 2025
Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA. Electronic address:
Background & Aims: Transitioning to more plant-based diets promotes environmental sustainability and has health benefits for adults. However, associations with nutrient intake adequacy and growth in children remain unknown. This study aimed to examine associations of plant-based diets with nutrient intake levels among children, and with longitudinal growth and body composition up to adolescence.
View Article and Find Full Text PDFMachine learning-driven identification of critical gene programs and key transcription factors in migraine.
J Headache Pain
January 2025
Clinical Systems Biology Laboratories, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Background: Migraine is a complex neurological disorder characterized by recurrent episodes of severe headaches. Although genetic factors have been implicated, the precise molecular mechanisms, particularly gene expression patterns in migraine-associated brain regions, remain unclear. This study applies machine learning techniques to explore region-specific gene expression profiles and identify critical gene programs and transcription factors linked to migraine pathogenesis.
View Article and Find Full Text PDFPregnancy Complications and Long-Term Atherosclerotic Cardiovascular Disease Risk.
Curr Atheroscler Rep
January 2025
Department of Medicine, Division of Cardiology, University of California, Los Angeles, Los Angeles, CA, USA.
Purpose Of Review: Discuss the relationship between pregnancy complications and long-term atherosclerotic cardiovascular disease (ASCVD) risk.
Recent Findings: A large body of research confirms an association between pregnancy complications and increased short and long-term ASCVD risk and seeks to understand mechanisms for these associations. Social determinants of health continue to have a critical impact on the prevalence of adverse pregnancy outcomes (APOs) and long term ASCVD risk.
Want 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!