Background: An accurate, noninvasive technique for the diagnosis of coronary disease would be an important advance. We investigated the accuracy of coronary magnetic resonance angiography among patients with suspected coronary disease in a prospective, multicenter study.
Methods: Coronary magnetic resonance angiography was performed during free breathing in 109 patients before elective x-ray coronary angiography, and the results of the two diagnostic procedures were compared.
Results: A total of 636 of 759 proximal and middle segments of coronary arteries (84 percent) were interpretable on magnetic resonance angiography. In these segments, 78 (83 percent) of 94 clinically significant lesions (those with a > or = 50 percent reduction in diameter on x-ray angiography) were also detected by magnetic resonance angiography. Overall, coronary magnetic resonance angiography had an accuracy of 72 percent (95 percent confidence interval, 63 to 81 percent) in diagnosing coronary artery disease. The sensitivity, specificity, and accuracy for patients with disease of the left main coronary artery or three-vessel disease were 100 percent (95 percent confidence interval, 97 to 100 percent), 85 percent (95 percent confidence interval, 78 to 92 percent), and 87 percent (95 percent confidence interval, 81 to 93 percent), respectively. The negative predictive values for any coronary artery disease and for left main artery or three-vessel disease were 81 percent (95 percent confidence interval, 73 to 89 percent) and 100 percent (95 percent confidence interval, 97 to 100 percent), respectively.
Conclusions: Among patients referred for their first x-ray coronary angiogram, three-dimensional coronary magnetic resonance angiography allows for the accurate detection of coronary artery disease of the proximal and middle segments. This noninvasive approach reliably identifies (or rules out) left main coronary artery or three-vessel disease.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1056/NEJMoa010866 | DOI Listing |
BMC Res Notes
January 2025
King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia.
Objectives: This study aims to assess the awareness and acceptance of preventive and interceptive orthodontic treatment among Saudi perents.
Methods: The study used a 29-question questionnaire, covering parents' demographic data, parents' awareness of malocclusion and habits, and parents' acceptance of treatment. It included visuals of different malocclusions, normal occlusion, and specific habits.
BMC Public Health
January 2025
Department of Statistics and Data Science, Jahangirnagar University, Dhaka, 1342, Bangladesh.
Background: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDGs). Machine Learning models are one of the best tools for making more accurate and efficient forecasts and gaining in-depth knowledge.
View Article and Find Full Text PDFMatern Child Health J
January 2025
College of Nursing, University of Rhode Island, 350 Eddy St, Providence, RI, 02903, USA.
Objectives: This study examines the associations between race and ethnicity and receipt of Baby Friendly Hospital Initiative (BFHI) key clinical practices that support breastfeeding in US hospitals.
Methods: National data from 2016 to 2019 CDC PRAMS were analyzed. Our sample included 60,395 mothers who initiated breastfeeding with healthy, term newborns.
J Racial Ethn Health Disparities
January 2025
Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Context: To evaluate algorithmic fairness in low birthweight predictive models.
Study Design: This study analyzed insurance claims (n = 9,990,990; 2013-2021) linked with birth certificates (n = 173,035; 2014-2021) from the Arkansas All Payers Claims Database (APCD).
Methods: Low birthweight (< 2500 g) predictive models included four approaches (logistic, elastic net, linear discriminate analysis, and gradient boosting machines [GMB]) with and without racial/ethnic information.
J Cyst Fibros
January 2025
Department of Pediatrics, University of Pittsburgh School Of Medicine, USA.
Background: Males with cystic fibrosis (MwCF) face general and disease-specific sexual and reproductive health (SRH) concerns. Using concept mapping (CM), this study identified the SRH topics valued by members of the CF community.
Methods: MwCF 18 years and older, parents and partners of MwCF, and healthcare providers participated in an online CM study.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!