Analysis of anomalous origin of coronary arteries by coronary angiography in Chinese patients with coronary artery disease.
Yuan TianYing YuanHang LuLiang XuWei Xian YangChao Wei MuHai Bo LiuJue ChenKe Fei DouYi Da TangJin Qing YuanYong Jian WuHong Bing YanBo XuShu Bin QiaoYue Jin YangRun Lin GaoHong QiuPublished in: The international journal of cardiovascular imaging (2018)
With the development of coronary angiography for the diagnosis of coronary artery disease, its clinical significance in detecting coronary artery anomalies and evaluating the seriousness is attracting more attention. In the study we aimed to assess the prevalence of anomalous origin of coronary arteries in a Chinese population who underwent coronary angiography for coronary artery disease, and explore any patterns in the common variants and typical anomalies, especially the potentially serious ones. Patients who underwent coronary angiography from January 2013 to December 2016 in Fuwai Hospital were included. Baseline characteristics and angiographic data were collected, the incidence of anomalous origin of coronary arteries was calculated, and the typical patterns were analyzed. Comparisons between the present results and those of existing reports were also conducted. A total of 110,158 patients were included in the study, among which 0.76% (835 cases) had anomalous origin of coronary arteries. Among the anomalies, the incidences of anomalous origin of the right coronary artery (RCA), the left coronary artery (LCA), both the RCA and LCA, single coronary artery (SCA) and dextrocardia were 76.76% (641 cases), 14.61% (122 cases), 1.80% (15 cases), 4.67% (39 cases) and 2.16% (18 cases), respectively. Moreover, 47.54% (397 cases) of the anomalies were shown to be potentially serious, and an RCA arising from the left sinus of Valsalva (LSV) was the most common subtype (39.28%, 328 cases). Although anomalous origin of coronary arteries is not quite common, more clinical attention should be paid to this condition due to the potential risk of serious sequelae.
Keyphrases
- coronary artery
- coronary artery disease
- pulmonary artery
- end stage renal disease
- ejection fraction
- chronic kidney disease
- risk factors
- newly diagnosed
- healthcare
- percutaneous coronary intervention
- cardiovascular events
- peritoneal dialysis
- blood flow
- deep learning
- risk assessment
- machine learning
- dna methylation
- left ventricular
- cardiovascular disease
- patient reported outcomes
- climate change
- acute coronary syndrome
- transcatheter aortic valve replacement
- genome wide
- copy number
- drug induced
- data analysis