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Aortic dissection (AD) is a life-threatening disease and the detailed mechanism remains unclear. Thus, proper animal models are urgently required to better understand its pathogenesis. Our current study aims to establish a reliable, time and cost-effective mouse AD model. To conduct the meta-analysis, we searched PubMed for related studies up to 2021 and statistical analysis was conducted using Review Manager 5.4. For the animal experiment, 6-week-old male ApoE −/− mice were given β-aminopropionitrile (BAPN) at a concentration of 1 g/L for 3 weeks before being infused with saline, 1000 ng/kg/min or 2500 ng/kg/min angiotensin II (AngII) via osmotic mini pumps for 2 or 4 weeks. To determine the presence of AD, we performed B-ultrasonography, hematoxylin and eosin (H&E) staining, and van Gieson staining. The result of the meta-analysis showed that the use of BAPN and more than 2000 ng/kg/min AngII can increase the rate of AD formation, whereas administrating Ang II for more than 28 days has no significant effect on the rate of AD formation when compared with the less than 14 days group. In the present study, mice treated with BAPN combined with 2500 ng/kg/min AngII for 2 weeks (12/20) had a significantly higher AD formation rate than mice treated with BAPN combined with 1000 ng/kg/min Ang II for 4 weeks (2/10), and had a similar model formation rate compared with the mice treated withβ-aminopropionitrile combined with 2500 ng/kg/min AngII for 4 weeks (6/10). There were 3 mice (3/10) and 6 mice (6/20) who died in the group treated with β-aminopropionitrile combined with 2500 ng/kg/min AngII for 4 weeks and 2 weeks respectively, and only one mouse (1/10) died in the group treated with β-aminopropionitrile combined with 1000 ng/kg/min AngII for 4 weeks. In 6-week-old male ApoE −/− mice that received with 1 g/L BAPN in the drinking water for 3 weeks along with 2500 ng/kg/min AngII infusion via osmotic mini pumps for 2 weeks, the highest model formation rate and relative lower cumulative mortality were noted.

Unauthorized access to the bidding evaluation office and the departure of experts can significantly compromise the quality of on-site assessment work and introduce substantial integrity risks. To address these concerns, this paper presents the development of a hybrid neural network, integrating Yolov5s, Deepsort, and Dlib to ascertain the status of person within the bidding evaluation office. Our approach is bifurcated into two primary components. Firstly, Deepsort is integrated with Yolov5s to develop a model for the detection and tracking of personnel within the evaluation office. The model detects, counts, and tracks the flow of personnel on site and assesses the presence or absence of experts. Subsequently, Yolov5s, enhanced by the Swin Transformer architecture, refines the Dlib facial recognition model, augmenting its capacity to detect and swiftly identify micro-scale faces, thereby discerning potential intruders. The experimental results demonstrate that the model is capable of effectively detecting and tracking personnel on site, recognizing novel micro-scale targets, verifying individual identities, and evaluating the status of on-site personnel. Throughout the testing phase, when juxtaposed with conventional methodologies, our model has exhibited a marked enhancement in the accuracy of detecting unauthorized entry and the absence of designated experts, enabling real-time analysis of the evaluation office’s status.

To determine the incidence of acute cardiac injury (ACI), the factors associated with ACI and the in-hospital mortality in patients with COVID-19, especially in severe patients. All consecutive in-patients with laboratory-confirmed COVID-19 from Tongji Hospital in Wuhan during February 1 and March 29, 2020 were included. The demographic, clinical characteristics, laboratory, radiological and treatment data were collected. Univariate and Firth logistic regression analyses were used to identify factors associated with ACI and in-hospital mortality, and Kaplan–Meier method was used to estimate cumulative in-hospital mortality. Among 1031 patients included, 215 (20.7%) had ACI and 501 (48.6%) were severe cases. Overall, 165 patients died; all were from the severe group, and 131 (79.39%) had ACI. ACI (OR = 2.34, P  = 0.009), male gender (OR = 2.58, P  = 0.001), oximeter oxygen saturation (OR = 0.90, P  < 0.001), lactate dehydrogenase (OR = 3.26, P  < 0.001), interleukin-6 (IL-6) (OR = 8.59, P  < 0.001), high sensitivity C-reactive protein (hs-CRP) (OR = 3.29, P  = 0.016), N-terminal pro brain natriuretic peptide (NT-proBNP) (OR = 2.94, P  = 0.001) were independent risk factors for the in-hospital mortality in severe patients. The mortality was significantly increased among severe patients with elevated hs-CRP, IL-6, hs-cTnI, and/or NT-proBNP. Moreover, the mortality was significantly higher in patients with elevation of both hs-cTnI and NT proBNP than in those with elevation of either of them. ACI develops in a substantial proportion of patients with COVID-19, and is associated with the disease severity and in-hospital mortality. A combination of hs-cTnI and NT-proBNP is valuable in predicting the mortality.

Background Inflammation plays a crucial role in the development of aortic dissection. The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) are widely used surrogate markers for systemic inflammation, while the neutrophil to high-density lipoprotein cholesterol ratio (NHR), platelet to high-density lipoprotein cholesterol ratio (PHR), lymphocyte to high-density lipoprotein cholesterol ratio (LHR), and monocyte to high-density lipoprotein cholesterol ratio (MHR) incorporate high-density lipoprotein, reflecting both inflammatory and metabolic status. However, there is currently a lack of studies systematically comparing the associations between different inflammatory and metabolic surrogate markers and the risk of AD. Therefore, this study aims to investigate the relationship between these six inflammatory-metabolic indexes and the risk of aortic dissection, as well as evaluate their discriminative value for this condition. Objective This study aims to clarify the relationship between the inflammatory metabolic markers and aortic dissection. Methods This study enrolled a total of 1,959 patients. First, Propensity score matching (PSM) was applied to minimize confounding bias. Subsequently, multivariable logistic regression models were used to evaluate the associations between inflammatory indexes and AD risk. Restricted cubic spline (RCS) analysis was performed to explore potential nonlinear dose–response relationships. The discriminative performance of inflammatory indexes was assessed using receiver operating characteristic (ROC) curve. Furthermore, six machine learning algorithms were implemented for feature importance analysis. Results After adjusting for potential confounding factors, we identified SII 1.002 (95% CI: 1.001–1.002), SIRI 1.984 (95% CI: 1.702–2.352), and NHR 1.692 (95% CI: 1.499–1.928) as independent risk factors for AD development, while LHR 0.211 (95% CI: 0.143–0.304) served as an independent protective factor. Dose–response analysis demonstrated a linear association between NHR and AD risk ( P for Nonlinear = 0.02), whereas SII, SIRI and LHR showed nonlinear relationships ( P for Nonlinear < 0.001). ROC curve analysis revealed that the four inflammatory indexes had AUC values ranging from 0.740 to 0.835 for distinguishing AD and its clinical subtypes. Among the six machine learning algorithms evaluated, the XGBoost model demonstrated the best performance, achieving an area under the receiver operating characteristic curve (AUC) of 0.883. Conclusion Among these six systemic Inflammatory and Metabolic indexes, the SII, SIRI, NHR, and LHR indexes demonstrate significant associations with the presence of aortic dissection. Further prospective validation in larger, multicenter cohorts is warranted to confirm their clinical utility before integration into diagnostic workflows.

We aimed to explore the effects of perioperative exercise on cardiorespiratory endurance in children with congenital heart disease (CHD) in plateau areas after surgical repair. Fifty children with CHD in the plateau admitted to our hospital were randomly divided into the exercise and control groups. The exercise group received a perioperative exercise intervention beginning within 24 h postoperatively, while the control group received routine nursing and treatment alone. To assess the 6 min walk distance (6MWD) at baseline and at end of intervention, children participated in a 6-min walk test before cardiac repair and at 1 week after general ward transfer. A subset of children in the study underwent the cardiopulmonary exercise test pre-operatively. The 6MWD of children with CHD at baseline was positively correlated with the peak oxygen uptake pre-operatively. No significant difference was reported in the preoperative baseline data of both groups. The 6MWD of the exercise group was significantly higher than that of the control group. Early exercise therapy after cardiac repair could significantly improve the cardiorespiratory endurance and exercise capacity of children with CHD in plateau areas.

While acupuncture treatment has gained extensive usage in addressing headaches, there remains a notable gap in the literature analysis for this field. Therefore, this study aims to conduct a literature review using Citespace, VOSviewer, and Bibliometrix, aiming to examine the current status, strengths, and potential future directions in the utilization of acupuncture for headache treatment. Relevant literature on acupuncture treatment for headaches between 2003 and 2023 was retrieved from the Web of Science (WoS) core database. Utilizing CiteSpace 6.1.R6, VOSviewer 1.6.18, and Bibliometrix 4.1.4, we conducted bibliometric analyses across various categories, including countries/regions, institutions, authors, journals, references, and keywords. A total of 808 research reports were included. China and the United States have significantly contributed to this field. Chengdu University of Chinese Medicine holds the record for the highest number of published papers. Liu Lu has the highest publication output, while Linde K has the highest citation rate. leads in publication frequency, while holds the highest citation rate. The Long-term Effect of Acupuncture for Migraine Prophylaxis a Randomized Clinical Trial is the most cited reference. Migraine was the most researched type. Filiform needle acupuncture was the most widely used stimulation method. The safety and efficacy of acupuncture have received significant attention. Modern mechanism research shows that depression, brain functional connectivity, and neuroimaging technology have become research hotspots in the acupuncture treatment of headaches. Acupuncture treatment for headaches has established a stable trend with a promising developmental trajectory. Research in this field mainly focuses on different acupuncture prevention and treatment for various types of headaches, the safety and efficacy of acupuncture, etc. Research on the mechanism of action mainly focuses on interpreting bidirectional and holistic regulation between pain and emotion by acupuncture and the regulation of brain function connection and neuroimaging technology by acupuncture. Future research should expand on the advantages and indications of acupuncture treatment for different headaches and their modern mechanisms.

Objective: The purpose of this study was to report the clinical characteristics and prognosis of spontaneous isolated abdominal aortic dissection (SIAAD) based on the dissection length. Methods: Between March 2012 and September 2023, 159 of 7572 patients with aortic dissection were diagnosed with SIAAD and enrolled in the retrospective study. We proposed a new morphologic classification: extensive SIAAD (e-SIAAD) and focal SIAAD (f-SIAAD), based on whether the dissection length exceeds 50 mm or not. The clinical baseline, computed tomography angiography (CTA) findings, and long-term follow-up of the two types were compared. Results: SIAAD prevalence was 2.1%. Patients with f-SIAAD were significantly older (63.74 ± 10.97 vs. 50.70 ± 10.10 years, p < 0.001), had more atherosclerosis risk factors, arteriosclerosis, and penetrating aortic ulcers compared to e-SIAAD patients. Conversely, e-SIAAD presented more acutely (72.97% vs. 34.12%, p = 0.001), exhibited more frequent symptoms (85.14% vs. 61.18%, p = 0.0037), larger dissection diameters (31.89 ± 10.99 vs. 24.41 ± 11.28 mm, p = 0.001), and greater involvement of the renal and iliac arteries. Treatment involved medical management (30%), endovascular repair (65%), or surgery (2.5%), without significant differences between groups. In-hospital mortality was higher in f-SIAAD (six deaths vs. one in e-SIAAD). During median follow-up of 48 months (range, 6–148 months), mortality was higher in f-SIAAD (70% vs. 90% estimated 10-year survival). Conclusions: SIAAD classification by dissection length revealed significant differences in clinical presentation, CTA characteristics, and prognosis. Focal dissections correlated with advanced age, severe arteriosclerosis, and poorer long-term outcomes, emphasizing the need for tailored management approaches.

It is well-recognized that diabetes represents a powerful independent risk factor for cardiovascular diseases. However, very few studies have investigated the relationship between diabetes and risk of aortic dissection (AD). The aim of this case-control study was to evaluate the association between diabetes and risk of AD in Chinese population. A hospital-based case-control study, consisting of 2160 AD patients and 4320 controls, was conducted in a Chinese population. Demographic, clinical characteristics and risk factors were collected. Diabetes rate of patients with overall AD, Stanford type A AD and type B AD group was compared with that of corresponding matched control groups. Logistic regression analysis was used to estimate the odds ratios (OR) and 95% confidence intervals (95% CI) for relationship between diabetes and AD risk. The prevalence of diabetes was lower in AD cases than that of control subjects, whether it is the overall AD, type A AD or type B AD group (4.7% vs. 10.0%, 2.9% vs. 8.8%, 5.9% vs. 10.9%, all P<0.001). Furthermore, in multivariate model, diabetes was found to be associated with lower AD risk, which not only applies to the overall AD (OR = 0.2, 95%CI: 0.15-0.26), but also type A AD (OR = 0.12, 95% CI: 0.07-0.20) and type B AD (OR = 0.25, 95%CI: 0.18-0.33). We observed the paradoxical inverse relationship between DM and risk of AD in the Chinese population. These results suggest diabetes may play a protective role in the development of AD. However, further studies are needed to enrich related evidence, especially with regard to underlying mechanisms for these trends.

Coarctation of the aorta (CoA) is usually diagnosed and corrected early in life. Most untreated patients with CoA usually die before 50 years of age. Adult patients with concomitant CoA and severe bicuspid aortic stenosis are relatively rare and present complex management challenges without standard guidelines. A 63-year-old female patient with uncontrolled hypertension was admitted due to chest pain and dyspnea upon exertion (NYHA grades III). Echocardiogram showed a severely calcified and stenotic bicuspid aortic valve (BAV). A severe stenotic calcified eccentric aortic coarctation 20 mm distal to the left subclavian artery (LSA) was discovered by computed tomography (CT) angiography. Following consultation with the cardiac team and patient willingness, we performed a one-stop interventional procedure to repair both defects. First, a cheatham-platinum (CP) stent was implanted the right femoral access, immediately distal to the LSA. Due to the markedly twisted and angled descending aortic arch, we chose to perform transcatheter aortic valve replacement (TAVR) the left common carotid artery. The patient was discharged and followed up for 1 year without symptoms. Although surgery is still the main treatment for these diseases, it is not suitable for high-risk surgical patient. Transcatheter intervention for patients with severe aortic stenosis complicated with CoA simultaneously is rarely reported. The success of this procedure depends on the patient's vascular condition, the skills of the heart team, and the availability of the technical platform. Our case report demonstrates the feasibility and efficacy of a one-stop interventional procedure in an adult patient with concurrent severely calcified BAV and CoA two different vascular approaches. Transcatheter intervention, in contrast to traditional surgical approaches or two-stop interventional procedures, as a minimally invasive and novel method, offers a wider range of therapeutic methods for such diseases.

Dust detection is essential for environmental protection, climate change assessment, and human health issues. Based on the Fengyun-4A (FY-4A)/Advance Geostationary Radiation Imager (AGRI) images, this paper aimed to examine the performances of two classic dust detection algorithms (i.e., the brightness temperature difference (BTD) and normalized difference dust index (NDDI) thresholding algorithms) as well as two dust products (i.e., the infrared differential dust index (IDDI) and Dust Score products (DST) developed by the China Meteorological Administration). Results show that a threshold below −0.4 for BTD (11–12 µm) is appropriate for dust identification over China and that there is no fixed threshold for NDDI due to its limitations in distinguishing dust from bare ground. The IDDI and DST products presented similar results, where they are capable of detecting dust over all study areas only for daytime. A validation of these four dust detection algorithms has also been conducted with ground-based particulate matter (PM10) concentration measurements for the spring (March to May) of 2021. Results show that the average probability of correct detection (POCD) for BTD, NDDI, IDDI, and DST were 56.15%, 39.39%, 48.22%, and 46.75%, respectively. Overall, BTD performed the best on dust detection over China with its relative higher accuracy followed by IDDI and DST in the spring of 2021. A single threshold for NDDI led to a lower accuracy than those for others. Additionally, we integrated the BTD and IDDI algorithms for verification. The POFD after integration was only 56.17%, and the fusion algorithm had certain advantages over the single algorithm verification.