AI Article Synopsis
Article Abstract
Background: Decreasing the amount of iodinated contrast is an important safety aspect of percutaneous coronary interventions (PCI), particularly in patients with a high risk of contrast-induced acute kidney injury (CI-AKI). Dynamic Coronary Roadmap (DCR) is a PCI navigation support tool projecting a motion-compensated virtual coronary roadmap overlay on fluoroscopy, potentially limiting the need for contrast during PCI.
Aims: This study investigates the contrast-sparing potential of DCR in PCI, compared to standard angiographic guidance.
Methods: The Dynamic Coronary Roadmap for Contrast Reduction (DCR4Contrast) trial is a multicentre, international, prospective, unblinded, stratified 1:1 randomised controlled trial. Patients were randomised to either DCR-guided PCI or to conventional angiography-guided PCI. The primary endpoint was the total volume of iodinated contrast administered, and the secondary endpoint was the number of cineangiography runs during PCI.
Results: The study population included 356 randomised patients (179 in DCR and 177 in control groups, respectively). There were no differences in patient demographics, angiographic characteristics or estimated glomerular filtration rate (eGFR) between the two groups. The total contrast volume used during PCI was significantly lower with DCR guidance compared with conventional angiographic guidance (64.6±44.4 ml vs 90.8±55.4 ml, respectively; p<0.001). The total number of cineangiography runs was also significantly reduced in the DCR group (8.7±4.7 vs 11.7±7.6 in the control group; p<0.001).
Conclusions: Compared to conventional angiography-guided PCI, DCR guidance was associated with a significant reduction in both contrast volume and the number of cineangiography runs during PCI. (ClinicalTrials.gov: NCT04085614).
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10851082 | PMC |
| http://dx.doi.org/10.4244/EIJ-D-23-00460 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Exploring the role of NLRP3 infalmmasome in diabetes: a literature review and bibliometric analysis.
Front Endocrinol (Lausanne)
December 2024
Departments of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Background: Diabetes has emerged as the foremost public health challenge of the 21st century, with a notable shift towards managing it through an inflammatory lens. This study seeks to investigate the role of NLRP3 infalmmasome in diabetes over the past ten years, leveraging bibliometric analysis to pinpoint prevailing trends, underscore critical focal points, and establish a roadmap for subsequent research endeavors.
Method: A literature search was conducted based on the SCI-E database, and all recorded results were downloaded in plain text format for subsequent analysis.
Trustworthy implementation of artificial intelligence in cardiology: a roadmap of the European Society of Cardiology.
Eur Heart J
December 2024
Cardiac Unit, Royal Brompton and Harefield Hospitals, London, UK.
Exploring sex-specific genetic architecture of coronary artery disease in Tehran: a cardiometabolic genetic study.
Expert Rev Mol Diagn
December 2024
Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: The development of coronary artery disease (CAD) is influenced by sex and genetic factors. Genome-wide association studies (GWAS) have linked genetic loci to CAD, mostly in European populations. The study aims to find sex-related genetic differences in the Iranian population.
View Article and Find Full Text PDFRoadmap for the evolution of monitoring: developing and evaluating waveform-based variability-derived artificial intelligence-powered predictive clinical decision support software tools.
Crit Care
December 2024
Interdepartmental Division of Critical Care, University of Toronto, Toronto, ON, Canada.
Background: Continuous waveform monitoring is standard-of-care for patients at risk for or with critically illness. Derived from waveforms, heart rate, respiratory rate and blood pressure variability contain useful diagnostic and prognostic information; and when combined with machine learning, can provide predictive indices relating to severity of illness and/or reduced physiologic reserve. Integration of predictive models into clinical decision support software (CDSS) tools represents a potential evolution of monitoring.
View Article and Find Full Text PDFInternational PCOS guideline clinical research priorities roadmap: a co-designed approach aligned with end-user priorities in a neglected women's health condition.
EClinicalMedicine
December 2024
Monash Centre for Health Research and Implementation, Monash University, Melbourne, VIC, Australia.
Article Synopsis
- Polycystic ovary syndrome (PCOS) is a prevalent health issue that can lead to various reproductive, metabolic, and psychological problems, highlighting the need for a collective approach to establish research priorities in this field.
- A comprehensive process involving international surveys, systematic reviews, and peer validation revealed over 150 key research priorities, focusing on diagnosis, care models, patient information, lifestyle management, and fertility treatments for those with PCOS.
- The resulting clinical research roadmap aims to direct future studies according to the needs and interests of women with PCOS and healthcare providers, addressing this commonly overlooked condition.
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!