Williams syndrome is a congenital multisystem disease. Cardiovascular abnormality caused by elastin deficiency is the main cause of morbidity and mortality in Williams syndrome patients. Recent studies have found that 80% of Williams syndrome patients have cardiovascular abnormalities, most of which are arterial stenosis, especially the aortic valve stenosis and pulmonary artery stenosis. Operation is the main method to treat the stenosis of the artery, and the results of the operation on the aortic valve stenosis in most centers are good, but the effect of transcatheter intervention is still not obvious, pulmonary artery reconstruction has a good effect on the treatment of peripheral pulmonary artery stenosis. Advances in genetic diagnosis, surgical techniques and treatment regimens are expected to significantly improve cardiovascular outcomes in these patients. This article reviews the latest research progress of Williams syndrome combined with cardiovascular disease.
This paper tried to address how to apply the relative concepts and methods of evidence-based medicine in clinical practice of cardiology, especially in diagnosis and treatment, with an aim to promote the cardiovascular evidence-based medicine in China.
Serum alkaline phosphatase (ALP) has long been used as a biomarker for the liver, kidney, and bone. Currently, increasing evidence suggests a correlation between serum ALP and cardiovascular disease (CVD). Research has shown that serum ALP affects endothelial cell function and induces changes in pyrophosphate through various mechanisms to accelerate vascular calcification and promote cardiac fibrosis. Therefore, this article reviews the potential value of serum ALP in CVD through relevant research, revealing the specific relationship between serum ALP and CVD, in order to provide new ideas for the prevention and treatment of CVD.
Cardiovascular disease (CVD) has caused a huge burden of disease worldwide, and accurate diagnosis and assessment of CVD has a clear significance for improving the prognosis of patients. The development of artificial intelligence (AI) and its rapid application in the medical field have enabled new approaches for the analysis and fitting of various CVD data. At present, in addition to structured medical records, the CVD field also includes a large number of non-linear data brought by imaging and electrophysiological examinations. How to use AI to process such multi-source data has been explored by a large number of studies. Therefore, this review discusses the existing ways of processing various multi-source heterogeneous data with existing artificial intelligence technologies by summarizing various existing studies, and analyzes their possible advantages and disadvantages, in order to provide a basis for the future application of AI in CVD.
Cardiovascular diseases is the leading cause of threat to human life and health worldwide. Early risk assessment, timely diagnosis, and prognosis evaluation are critical to the treatment of cardiovascular diseases. Currently, the evaluation of diagnosis and prognosis of cardiovascular diseases mainly relies on imaging examinations such as coronary CT and coronary angiography, which are expensive, time-consuming, partly invasive, and require high professional competence of the operator, making it difficult to promote in the community or in areas where medical resources are scarce. The fundus microcirculation is a part of the human microcirculation and has similar embryological origins and physiopathological features to cardiovascular circulation. Several studies have revealed fundus imaging biomarkers associated with cardiovascular diseases, and developed and validated intelligent diagnosis and treatment models for cardiovascular diseases based on fundus imaging data. Fundus imaging is expected to be an important adjunct to cardiovascular disease diagnosis and treatment given its noninvasive and convenient nature. The purpose of this review is to summarize the current research status, challenges, and future prospects of the application of artificial intelligence based on multimodal fundus imaging data in cardiovascular disease diagnosis and treatment.
Sclerostin, as a bone-derived secreted glycoprotein, is a suppressor of Wnt signaling pathway. Recently, adverse cardiovascular events in the treatment of osteoporosis with sclerostin inhibitors have raised concerns about the association of sclerostin with atherosclerotic heart disease. Whether the role of sclerostin in atherosclerotic heart disease is harmful or beneficial is not clear. This article reviews the progress of the mechanisms of sclerostin in vascular calcification and atherosclerotic heart disease, focusing on the relationship between sclerostin and vascular calcification, the impact of its concentration changes on atherosclerotic heart disease, and the effect of sclerostin inhibitor on cardiovascular events.
Cardiovascular disease has caused a huge burden of disease worldwide, and the rapid advancement of smart wearable devices has provided new means for early diagnosis, real-time monitoring, and event prevention of cardiovascular disease. Smart wearable devices can be classified into various categories based on detection signals and physical carrier types. Based on an overview of the composition of such devices, this article further introduces the current cutting-edge research and related market products related to smart blood pressure monitoring, electrocardiogram monitoring, and ultrasound monitoring. It also discusses the future development and challenges of such devices, aiming to provide evidence support for the research and development of smart wearable devices in the diagnosis and treatment of cardiovascular diseases in the future.
The American Heart Association (AHA) and the American College of Cardiology (ACC), in collaboration with multiple professional organizations, jointly released the “Guideline for the Prevention, Detection, Evaluation and Management of High Blood Pressure in Adults” in August 2025. Based on the latest evidence-based medical findings from February 2015 to January 2025, the guideline proposes an individualized treatment strategy grounded in total cardiovascular disease risk stratification, incorporates the novel PREVENT risk assessment model, lowers the medication initiation threshold and control targets for high-risk populations, and provides specific management recommendations for special populations. This article provides an interpretation of these updates and conducts a comparative analysis with the current status of hypertension prevention and treatment in China as well as Chinese guidelines, aiming to offer reference for hypertension control practices in China.
ObjectiveWearable devices refer to a class of monitoring devices that can be tightly integrated with the human body and are designed to continuously monitor individual's activity without impeding or restricting the user's normal activities in the process. With the rapid advancement of chips, sensors, and artificial intelligence technologies, such devices have been widely used for patients with cardiovascular diseases who require continuous health monitoring. These patients require continuous monitoring of a number of physiological indicators to assess disease progression, treatment efficacy, and recovery in the early stages of the disease, during the treatment, and in the recovery period. Traditional monitoring methods require patients to see a doctor on a regular basis with the help of fixed devices and analysis by doctors, which not only increases the financial burden of patients, but also consumes medical resources and time. However, wearable devices can collect data in real time and transmit it directly to doctors via the network, thus providing an efficient and cost-effective monitoring solution for patients. In this paper, we will review the applications, advantages and challenges of wearable devices in the treatment of cardiovascular diseases, as well as the outlook for their future applications.
