| Literature DB >> 35683356 |
Daan Ties1, Paulien van Dorp1, Gabija Pundziute1, Erik Lipsic1, Carlijn M van der Aalst2, Matthijs Oudkerk3, Harry J de Koning2, Rozemarijn Vliegenthart4, Pim van der Harst1,5.
Abstract
Cardiovascular disease (CVD) remains a leading cause of death and disability worldwide. Acute myocardial infarction (AMI) causes irreversible myocardial damage, heart failure, life-threatening arrythmias and sudden cardiac death (SCD), and is a main driver of CVD mortality and morbidity. To control the forecasted increase in CVD burden for both the individual and society, improved strategies for the prevention of AMI and SCD are required. Current prevention of AMI and SCD is directed towards risk-modifying interventions, guided by risk assessment using clinical risk prediction scores (CRPSs) and the coronary artery calcium score (CACS). Early detection of more advanced coronary artery disease (CAD), beyond risk assessment by CRPSs or CACS, is a promising strategy to allow personalized treatment for the improved prevention of AMI and SCD in the general population. We review evidence for further testing, beyond CRPSs and CACS, and therapies focusing on promising targets, including subclinical obstructive CAD, high-risk plaques, and silent myocardial ischemia. We also evaluate the potential of multi-modality imaging to enhance the conduction of adequately powered trials to provide high-quality evidence on the impact of add-on tests and therapies in the prevention of AMI and SCD in asymptomatic individuals. To conclude, we discuss the occurrence of AMI and SCD in individuals currently estimated to be at "low-risk" by the current strategy based on CRPSs, and methods to improve prevention of AMI and SCD in this "low-risk" population.Entities:
Keywords: atherosclerotic cardiovascular disease; computed tomography; coronary artery disease; coronary atherosclerosis; early diagnosis; myocardial ischemia; myocardial perfusion imaging; population; risk factors; screening
Year: 2022 PMID: 35683356 PMCID: PMC9181560 DOI: 10.3390/jcm11112965
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.964
Figure 1Theoretical framework of multi-modality testing to early diagnose advanced CVD. Pre-test probability (i.e., prevalence of disease) and post-test probability of disease presence given a positive screening test, calculated by Bayes Theorem, for an approach with one test only (sensitivity and specificity of 0.8) (blue line) and for an approach combining a primary (sensitivity and specificity of 0.8) and a secondary test (sensitivity and specificity of 0.9) (red line). In the range of pre-test probabilities reflecting a screening setting with low-prevalent disease (light-red area), post-test probability is markedly increased after a positive secondary test in a multi-modality imaging approach compared to post-test probability after a single positive test result in a single-test approach (red arrow). Sens = sensitivity; Spec = specificity.