OBJECTIVE: The goal of this study was to examine the factor structure of Young Schema Questionnaire-short form (YSQ-SF) in a sample of Chinese adolescents, and to explore which maladaptive schemas were associated with anxiety symptoms. METHODS: YSQ-SF was administered to 983 nonclinical Chinese adolescents aged 13–17 years. Confirmatory factor analyses with weighted least squares means and variance adjusted estimation were conducted to examine the factor structure of YSQ-SF. Stepwise regression analyses were performed to identify schemas associated with anxiety symptoms. RESULTS: A bifactor model with 15 correlated factors fitted the data better than other priori defined models. Stepwise regressions showed Vulnerability to harm, Abandonment, Emotional inhibition, Subjugation, and Unrelenting standards schemas were associated with anxiety symptoms. Furthermore, different anxiety symptoms were associated with common and distinctive schemas. CONCLUSION: Maladaptive schemas were already stably formed in Chinese adolescents, however there's no robust evidence for the existence of domain. The explanatory value of maladaptive schemas for understanding psychopathology of anxiety in adolescence is discussed.
Adolescent ; Anxiety ; Asian Continental Ancestry Group ; Humans ; Least-Squares Analysis ; Psychopathology ; Sensitivity and Specificity

Lung cancer is one of the tumors with the highest incidence rate and mortality rate in the world. It is also the malignant tumor with the fastest growing number of patients, which seriously threatens human life. How to improve the accuracy of diagnosis and treatment of lung cancer and the survival prognosis is particularly important. Machine learning is a multi-disciplinary interdisciplinary specialty, covering the knowledge of probability theory, statistics, approximate theory and complex algorithm. It uses computer as a tool and is committed to simulating human learning methods, and divides the existing content into knowledge structures to effectively improve learning efficiency and being able to integrate computer science and statistics into medical problems. Through the introduction of algorithm to absorb the input data, and the application of computer analysis to predict the output value within the acceptable accuracy range, identify the patterns and trends in the data, and finally learn from previous experience, the development of this technology brings a new direction for the diagnosis and treatment of lung cancer. This article will review the performance and application prospects of different types of machine learning algorithms in the clinical diagnosis and survival prognosis analysis of lung cancer.

Objective To investigate the management experience of type Ⅱ endoleak originating from inferior mesenteric artery (IMA) after endovascular abdominal aortic aneurysm repair (EVAR). Methods The clinical data of patients with type Ⅱ endoleak originating from IMA after EVAR treated in the Department of Vascular Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University from October 2016 to November 2021 were collected and analyzed. Results There were 12 males and 3 females at age of 57-89 (68.00±7.84) years. Eleven patients received embolization of the abdominal aortic aneurysm lumen and initial segment of the IMA via the superior mesenteric artery-middle colic artery-Riolan arch-left colic artery-IMA route. Three patients received embolization of the initial segment of the IMA by the above route. One patient underwent open dissection of the abdominal aortic aneurysm, and orifice of IMA was sutured in the aneurysm cavity while stents were retained. All 15 patients were successfully treated by surgery. The symptoms of back pain, abdominal pain and abdominal distension disappeared in 6 patients after surgery. Neither perioperative deaths nor complications happened during the treatment and follow-up period. The median follow-up time was 11.00 (9.00, 18.00) months. Two patients with typeⅡendoleak recurred during the follow-up period and were admitted to hospital for secondary embolization. No recurrence was observed at 12 months postoperative follow-up. Conclusion Type Ⅱ endoleak is one of the most common complications after EVAR. IMA is the most common criminal origin of typeⅡendoleak. TypeⅡendoleak that lead to persistent expansion of the aneurysm cavity requires aggressive intervention.

Objective     To analyze the clinical characteristics of the Guang’an Omicron epidemic and summarize the management experiences and practices in pandemic prevention and control of major infectious diseases. Methods     Retrospective analysis was performed on patients infected with coronavirus disease (COVID-19), afterwards treated and observed in the isolation ward of Guang’an People’s Hospital and the shelter of Guang’an City from May 9 to June 26, 2022. The characteristics of patients at different age stages and the related factors affecting the severity, re-positive and negative conversion was analyzed. Results     Finally 1 278 patients were collected, including 508 males and 770 females, with an average age of 41.3±22.6 years. Among them, 1 054 patients were asymptomatic carriers. The overall severe rate was 0.86%, the severe rate of the high-risk group was 3.06%. The median negative conversion time was 10.0 days and re-positive rate was 7.36%. Patients aged>60 years were 2.589 times more likely to have a longer negative conversion time than those aged≤60 years (95%CI 1.921-3.489, P<0.001). Conclusion     The clinical characteristics of Guang’an COVID-19 epidemic are mainly that the elderly with high risk factors are more likely to develop severe cases, have longer clearance time, and re-positve is more likely to occur.

Objective    To compare and analyze the effect of myocardial protection between HTK and del Nido cardioplegia solutions in neonates with surgeries for transposition of the great arteries. Methods    The clinical data of 208 neonates with complete transposition of the great arteries in our institution from 2014 to 2020 were retrospectively analyzed. According to the cardioplegia solutions utilized in the operations, the patients were divided into two groups: a HTK group and a del Nido group. Propensity score matching was conducted to eliminate the biases. The cardiopulmonary bypass time, aortic cross-clamping time, total amount of cardioplegia solutions, transfusion frequency of cardioplegia, ICU stay time, mechanical support time, inotropic score, hospital stay, left ventricular ejection fraction, N-terminal proBNP and troponin I were compared and analyzed between the two groups after matching. Results    After 1:1 propensity score matching, a total of 54 patients were analyzed with 27 patients in each group. In the HTK group, there were 22 males and 5 females with a median age of 7.0 (2.0, 11.0) d. In the del Nido group, there were 23 males and 4 females with a median age of 8.0 (3.0, 11.0) d. A total of 3 children died after the surgery: 2 (7.4%) patients in the HTK group and 1 (3.7%) patient in the del Nido group. There was no significant difference in hospital mortality between the two groups (P=1.000). The total amount of cardioplegia solutions in the HTK group was significantly higher than that of del Nido group (P<0.001). Transfusion frequency of cardioplegia in del Nido group was significantly higher than that of the HTK group (P=0.043). There was no significant difference in the postoperative ICU time, mechanical support time, length of hospital stay, inotropic score, left ventricular ejection fraction, N-terminal B-type natriuretic peptide precursor or troponin I between the two groups (P>0.05). Conclusion    For neonates with surgeries for complete transposition of the great arteries, HTK cardioplegia solutions can provide effective and safe myocardial protection, which is similar to del Nido cardioplegia solutions.

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.

Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

Objective To compare the benefits and drawbacks of primary patch expansion versus pericardial tube right ventricular-pulmonary artery connection in patients diagnosed with pulmonary atresia with ventricular septal defect (PA/VSD). Methods A retrospective study was conducted on patients diagnosed with PA/VSD who underwent primary right ventricular-pulmonary artery connection surgery at our center between 2010 and 2020. Patients were categorized into two groups based on the type of right ventricular-pulmonary artery connection: a pericardial tube group and a patch expansion group. Clinical data and imaging findings were compared between the two groups. Results A total of 51 patients were included in the study, comprising 31 males and 20 females, with a median age of 12.57 (4.57, 49.67) months. The pericardial tube group included 19 patients with a median age of 17.17 (7.33, 49.67) months, while the patch expansion group consisted of 32 patients with a median age of 8.58 (3.57, 52.72) months. In both groups, the diameter of pulmonary artery, McGoon index, and Nakata index significantly increased after treatment (P<0.001). However, the pericardial tube group exhibited a longer extracorporeal circulation time (P<0.001). The reoperation rate was notably high, with 74.51% of patients requiring further surgical intervention, including 26 (81.25%) patients in the patch expansion group and 12 (63.16%) patients in the pericardial tube group. No statistical differences were observed in long-term cure rates or mortality between the two groups (P＞0.005). Conclusion In patients with PA/VSD, both patch expansion and pericardial tube right ventricular-pulmonary artery connection serve as effective initial palliative treatment strategies that promote pulmonary vessel development and provide a favorable foundation for subsequent radical operations. However, compared to the pericardial tube approach, the patch expansion technique is simpler to perform and preserves some intrinsic potential for pulmonary artery development, making it the preferred procedure.

Objective To identify clinical risk factors for early major adverse cardiovascular events (MACEs) following surgical correction of supravalvar aortic stenosis (SVAS). Methods Patients who underwent SVAS surgical correction between 2002 and 2019 in Beijing and Yunnan Fuwai Cardiovascular Hospitals were included. The patients were divided into a MACEs group and a non-MACEs group based on whether MACEs concurring during postoperative hospitalization or within 30 days following surgical correction for SVAS. Their preoperative, intraoperative, and postoperative clinical data were collected for multivariate logistic regression. Results This study included 302 patients. There were 199 males and 103 females, with a median age of 63.0 (29.2, 131.2) months. The incidence of early postoperative MACEs was 7.0% (21/302). The multivariate logistic regression model identified independent risk factors for early postoperative MACEs, including ICU duration (OR=1.01, 95%CI 1.00-1.01, P=0.032), intraoperative cardiopulmonary bypass (CPB) time (OR=1.02, 95%CI 1.01-1.04, P=0.014), aortic annulus diameter (OR=0.65, 95%CI 0.43-0.97, P=0.035), aortic sinus inner diameter (OR=0.75, 95%CI 0.57-0.98, P=0.037), and diameter of the stenosis (OR=0.56, 95%CI 0.35-0.90, P=0.016). Conclusion The independent risk factors for early postoperative MACEs include ICU duration, intraoperative CPB time, aortic annulus diameter, aortic sinus inner diameter, and diameter of the stenosis. Early identification of high-risk populations for MACEs is beneficial for the development of clinical treatment strategies.

Background: Circulating endometrial cells (CECs) have been reported to be present in the peripheral blood of women with endometriosis (EM), providing clear and specific evidence of the presence of ectopic lesions. In this study, we established a method with a high detection rate of CECs, assessed the diagnostic value of CECs for EM and compared with serum CA125, and proposed a hypothesis for the pathogenesis of EM from the new perspective of CECs. Methods: The participants were enrolled prospectively from October 2015 to July 2016. The peripheral blood samples were collected from 59 participants, and the blood cells were isolated for immunofluorescence staining via microfluidic chips. The cells that were positive for vimentin/cytokeratin and estrogen/progesterone receptor and negative for CD45 were identified as CECs. The serum CA125 level was tested with electrochemiluminescence immunoassay. Results: The detection rate of CECs reached 89.5% (17/19) in the EM group, which was significantly higher than that of the control group (15.0% [6/40], P < 0.001) and was independent of menstrual cycle phases. Furthermore, a positive CEC assay detected 4/5 cases of Stage Ⅰ–Ⅱ EM. In contrast, a positive CA125 test had limited value in detecting EM (13/19, 68.4%) and detected only one case of Stage Ⅰ–Ⅱ EM. Conclusion: CECs are promising biomarkers for EM with great potential for a noninvasive diagnostic assay.