| Literature DB >> 33323438 |
Floor Groepenhoff1,2, Anouk L M Eikendal2, Sophie Heleen Bots2, Anne-Mar van Ommen2, L M Overmars1, Daniek Kapteijn2, Gerard Pasterkamp1, Johan H C Reiber3, David Hautemann3, Roxana Menken4, Marianne E Wittekoek5, Leonard Hofstra4, N Charlotte Onland-Moret6, Saskia Haitjema1, Imo Hoefer1, Tim Leiner7, Hester M den Ruijter8.
Abstract
INTRODUCTION: Chest pain or discomfort affects 20%-40% of the general population over the course of their life and may be a symptom of myocardial ischaemia. For the diagnosis of obstructive macrovascular coronary artery disease (CAD), algorithms have been developed; however, these do not exclude microvascular angina. This may lead to false reassurance of symptomatic patients, mainly women, with functionally significant, yet non-obstructive coronary vascular disease. Therefore, this study aims to estimate the prevalence of both macrovascular and microvascular coronary vascular disease in women and men presenting with chest pain or discomfort, and to subsequently develop a decision-support tool to aid cardiologists in referral to cardiovascular imaging for both macrovascular and microvascular CAD evaluation. METHODS AND ANALYSIS: Women and men with chest pain or discomfort, aged 45 years and older, without a history of cardiovascular disease, who are referred to an outpatient cardiology clinic by their general practitioner are eligible for inclusion. Coronary CT angiography is used for anatomical imaging. Additionally, myocardial perfusion imaging by adenosine stress cardiac MRI is performed to detect functionally significant coronary vascular disease. Electronic health record data, collected during regular cardiac work-up, including medical history, cardiovascular risk factors, physical examination, echocardiography, (exercise) ECG and blood samples for standard cardiovascular biomarkers and research purposes, are obtained. Participants will be classified as positive or negative for coronary vascular disease based on all available data by expert panel consensus (a cardiovascular radiologist and two cardiologists). After completion of the clinical study, all collected data will be used to develop a decision support tool using predictive modelling and machine-learning techniques. ETHICS AND DISSEMINATION: The study protocol was approved by the Institutional Review Board of the University Medical Center Utrecht. Results will be disseminated through national and international conferences and in peer-reviewed journals in cardiovascular disease. TRIAL REGISTRATION NUMBER: Trialregister.nl Registry NL8702. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: cardiology; cardiovascular imaging; coronary heart disease
Mesh:
Year: 2020 PMID: 33323438 PMCID: PMC7745322 DOI: 10.1136/bmjopen-2020-040712
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Workflow of patient recruitment and imaging protocol depending on regular clinical care path. CMRI, cardiac MRI.
Figure 2Workflow of data collection and implementation in the expert panel diagnosis. BNP, B-type natriuretic peptide; CAD, coronary artery disease; CADRADS, Coronary Artery Disease-Reporting and Data System; CCTA, cardiac CT angiography; CMRI, cardiac MRI; hs-TnI, high-sensitivity troponin-I.
Classification of imaging results
| Non-significant | Significant | |
| 1. Assessment of anatomical CAD on CCTA | ||
| Stenosis | <50% | ≥50% |
| CADRADS classification | 0/1/2 | 3/4/5 |
| 2. Assessment of functional CAD on CMRI | ||
| Myocardial ischaemia | No | Yes |
CAD, coronary artery disease; CADRADS, Coronary Artery Disease-Reporting and Data System; CCTA, cardiac CT angiography; CMRI, cardiac MRI.