Currently, the academic community, industry, and governmental institutions worldwide are dedicated to developing and applying artificial intelligence and other advanced analytical tools to drive the transformation of healthcare services. However, there are still many challenges, with only a few artificial intelligence tools having achieved sufficient effectiveness in improving clinical outcomes for cardiovascular diseases and strokes to be widely used. In response, the American Heart Association has formulated related scientific statements outlining the latest research developments in artificial intelligence algorithms and data science for the diagnosis, classification, and treatment of cardiovascular diseases. These statements also summarize the current best practices, research gaps, and existing challenges of artificial intelligence tools, aiming to promote the development of this field. This article interprets this scientific statement in conjunction with the relevant research practices of the author's team.

Background Maternal atmospheric pollution during pregnancy may alter fetal intrauterine development programming, thereby increasing the risk of childhood obesity in the future. Objective To investigate the effects of atmospheric pollution exposure during pregnancy on the incidence of childhood obesity in offspring. Methods English databases (PubMed, Web of Science, and Medline) and Chinese databases (Wanfang Data Knowledge Service Platform, China National Knowledge Infrastructure, and VIP Information Chinese Journal Service Platform) were searched for literature reporting exposure to atmospheric pollution during pregnancy and childhood obesity published from 1 January 2000 to 31 August 2023. The quality of the included literature was evaluated using the quality assessment tools for observational cohort and cross-sectional studies recommended by the US National Institutes of Health. Results Twenty-four studies meeting the inclusion criteria were identified and the associated atmospheric pollutants included particulate matter, ozone, nitrogen oxide, carbon oxide, and sulfur oxide. In comparison to the non-exposed group, prenatal exposure to various common atmospheric pollutants were significantly associated with an elevated risk of childhood obesity in offspring. Conclusion Maternal exposure to atmospheric pollution during pregnancy is associated with an elevated risk of childhood obesity in subsequent years. Future studies should pay more attention to the effects of atmospheric pollution on the distribution of children's body fat and metabolic development, and further identify potential mechanisms of atmospheric pollutant exposure leading to childhood obesity.

Objective     To evaluate the risk factors for postoperative in-hospital mortality in elderly patients receiving cardiac valvular surgery, and develop a new prediction models using the least absolute shrinkage and selection operator (LASSO)-logistic regression. Methods     The patients≥65 years who underwent cardiac valvular surgery from 2016 to 2018 were collected from the Chinese Cardiac Surgery Registry (CCSR). The patients who received the surgery from January 2016 to June 2018 were allocated to a training set, and the patients who received the surgery from July to December 2018 were allocated to a testing set. The risk factors for postoperative mortality were analyzed and a LASSO-logistic regression prediction model was developed and compared with the EuroSCOREⅡ. Results     A total of 7 163 patients were collected in this study, including 3 939 males and 3 224 females, with a mean age of 69.8±4.5 years. There were 5 774 patients in the training set and 1 389 patients in the testing set. Overall, the in-hospital mortality was 4.0% (290/7 163). The final LASSO-logistic regression model included 7 risk factors: age, preoperative left ventricular ejection fraction, combined coronary artery bypass grafting, creatinine clearance rate, cardiopulmonary bypass time, New York Heart Association cardiac classification. LASSO-logistic regression had a satisfying discrimination and calibration in both training [area under the curve (AUC)=0.785, 0.627] and testing cohorts (AUC=0.739, 0.642), which was superior to EuroSCOREⅡ. Conclusion     The mortality rate for elderly patients undergoing cardiac valvular surgery is relatively high. LASSO-logistic regression model can predict the risk of in-hospital mortality in elderly patients receiving cardiac valvular surgery.

Objective     To investigate the relationship between preoperative mean daily step counts and pulmonary complications after thoracoscopic lobectomy in elderly patients. Methods     From 2018 to 2021, the elderly patients with pulmonary complications after thoracoscopic lobectomy were included. A 1∶1 propensity score matching was performed with patients without pulmonary complications. The clinical data were compared between the two groups. Results    Totally, 100 elderly patients with pulmonary complications were enrolled, including 78 males and 22 females, aged 66.4±4.5 years. And 100 patients without pulmonary complications were matched, including 71 males and 29 females aged 66.2±5.0 years. There was no significant difference in the preoperative data between the two groups (P>0.05). Compared to the patients with pulmonary complications, the ICU stay was shorter (8.1±4.4 h vs. 12.9±7.5 h, P<0.001), the first out-of-bed activity time was earlier (8.8±4.5 h vs. 11.2±6.1 h, P=0.002), and the tube incubation time was shorter (19.3±9.2 h vs. 22.5±9.4 h, P=0.015) in the patients wihout pulmonary complications. There was no statistical difference in other perioperative data between the two groups (P>0.05). The mean daily step counts in the pulmonary complications group were significantly less than that in the non-pulmonary complications group (4 745.5±2 190.9 steps vs. 6 821.1± 2 542.0 steps, P<0.001). The daily step counts showed an upward trend for three consecutive days in the two groups, but the difference was not significant. Conclusion     The decline of preoperative mean daily step counts is related to pulmonary complications after thoracoscopic lobectomy in elderly patients. Recording daily step counts can promote preoperative active exercise training for hospitalized patients.

OBJECTIVE To explore suitable storage and transportation conditions for “internet plus drug delivery” under high- temperature conditions. METHODS A survey on high-temperature conditions in summer in Beijing was conducted； a retrospective analysis was conducted on “internet plus drug delivery” orders in our hospital from July 2021 to June 2022， summarizing the proportion and delivery range of drugs under different storage and transportation conditions. Additionally， simulation and validation experiments were performed to investigate optimal drug storage and transportation devices for “internet plus drug delivery” in Beijing under high-temperature conditions in summer. RESULTS The monthly average temperature in Beijing from June to August consistently exceeded 25.0 ℃ between 1991 and 2022. From July 2021 to June 2022， a total of 104 drugs were required to be stored below 25.0 ℃， accounting for 31.23% of the 333 drugs listed in our hospital’s “internet plus drug delivery” catalog in Beijing. These drugs were delivered 1 058 times， accounting for 19.63% of the total deliveries. Simulation and validation experiments demonstrated that the average maximum temperature during the next-day delivery process of “carton + foam box + composite aluminum film pearl cotton + 500 g ice bag×2 + gas column bag” was 9.6 ℃， the average minimum temperature was 2.7 ℃， and all the temperatures remained below 15.0 ℃， which could effectively ensure the quality of drugs. CONCLUSIONS Under the high-temperature conditions in summer in Beijing， the storage and transportation device of “carton + foam box + composite aluminum film pearl cotton + 500 g ice bag×2 + gas column bag” can meet the temperature requirements specified in the drug storage instructions for Beijing intra-city drug delivery.

Nonalcoholic fatty liver disease （NAFLD） has become the most common chronic liver disease in the world， and it is also one of the main causes of liver cirrhosis and hepatocellular carcinoma， so it is particularly important to curb the development and progression of NAFLD in a timely manner. However， due to its complex pathogeneses， there are currently no effective methods for radical treatment. As a new generation of probiotics， Akkermansia muciniphila （Akk bacteria） can improve metabolic disorders of the body， and more and more studies have shown that Akk bacteria have a potential therapeutic effect on metabolic diseases， especially NAFLD. Therefore， this article briefly reviews the mechanism of action of Akk bacteria in NAFLD， in order to provide new ideas for improving the treatment of NAFLD and creating new therapies.

Since the advent of coronary artery bypass grafting (CABG), the selection of bypass conduits has always been one of the most controversial topics in this field. Arterial conduits have received extensive attention due to their excellent biological features and high patency. In recent years, the application of arterial grafting and total arterial grafting in China keeps increasing in recent years, but there is still a gap compared to the Europe and America. Previous clinical studies have indicated the benefits of the total arterial grafting in terms of patency and long-term outcomes, but the advantage of multiple arterial grafting over other procedures is still in need to be confirmed with high-quality randomized controlled trials. This article reviews the clinical application and strategy of total-arterial CABG, aiming to provide objective reference for future clinical research and application.

Hemodynamics plays a vital role in the development and progression of cardiovascular diseases, and is closely associated with changes in morphology and function. Reliable detection of hemodynamic changes is essential to improve treatment strategies and enhance patient prognosis. The combination of computational fluid dynamics with cardiovascular imaging technology has extended the accessibility of hemodynamics. This review provides a comprehensive summary of recent developments in the application of computational fluid dynamics for cardiovascular hemodynamic assessment and a succinct discussion for potential future development.

Objectives:To evaluate and predict the risk for in-hospital mortality in elderly patients receiving cardiac valvular surgery preferably,we developed a new prediction model using machine learning. Methods:Clinical data including baseline characteristics,peri-operative data and primary endpoint of 7 163 elderly patients aged 65 years or older undergoing cardiac valvular surgery from January 2016 to December 2018 from 87 hospitals were collected from the Chinese Cardiac Surgery Registry(CCSR).Patients from January 2016 to June 2018 were assigened to the training cohort(n=5 774)and patients from July to December 2018 were assigened to the validation cohort(n=1 389).The primary endpoint was in-hospital mortality.Machine learning algorithms were used to analyze risk factors and develop prediction model. Results:Overall in-hospital mortality was 4.1%.Linear discriminant analysis(LDA),support vector classification(SVC)and logistic regression(LR)models in the training cohort all have high AUCs and low Brier scores,with good discrimination and calibration.In validation cohort,the AUC of LDA,SVC and LR were 0.744,0.744 and 0.746 respectively,which were significantly better than that of 0.642 using the European System for Cardiac Operative Risk Evaluation II(EuroSCORE II)model(P<0.05). Conclusions:The mortality rate for elderly patients undergoing cardiac valvular surgery is relatively high.LDA,SVC and LR can predict the risk for in-hospital mortality in elderly patients receiving cardiac valvular surgery with high accuracy.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.