Objective To compare the mid- and long-term clinical results of mitral valve plasty (MVP) and mitral valve replacement (MVR) in the treatment of functional mitral regurgitation (FMR). Methods Patients with FMR who underwent surgical treatment in the Department of Cardiovascular Surgery of the General Hospital of Northern Theater Command from 2012 to 2021 were collected. The patients who underwent MVP were divided into a MVP group, and those who underwent MVR into a MVR group. The clinical data and mid-term follow-up efficacy of two groups were compared. Results Finally 236 patients were included. There were 100 patients in the MVP group, including 53 males and 47 females, with an average age of (61.80±8.03) years. There were 136 patients in the MVR group, including 72 males and 64 females, with an average age of (61.29±8.97) years. There was no statistical difference in baseline data between the two groups (P＞0.05). There was no statistical difference between the two groups in the extracorporeal circulation time, aortic occlusion time, postoperative hospital and ICU stay, intraoperative blood loss, or hospitalization death (P＞0.05), but the time of mechanical ventilation in the MVP group was significantly shorter than that in the MVR group (P=0.022). The total follow-up rate was 100.0%, the longest follow-up was 10 years, and the average follow-up time was (3.60±2.55) years. There were statistical differences in the left atrial diameter, left ventricular end-diastolic diameter, left ventricular end-systolic diameter and cardiac function between the two groups compared with those before surgery (P<0.05). The postoperative left ventricular ejection fraction in the MVP group was statistically higher than that before surgery (P=0.002), but there was no statistical difference in the MVR group before and after surgery (P=0.658). The left atrial diameter in the MVP group was reduced compared with the MVR group (P=0.026). The recurrence rate of mitral regurgitation in the MVP group was higher than that in the MVR group, and the difference was statistically significant (10.0% vs. 1.5%, P=0.003). There were 14 deaths in the MVP group and 19 in the MVR group. The cumulative survival rate (P=0.605) and cardiovascular events-free survival rate (P=0.875) were not statistically significant between the two groups by Kaplan-Meier survival analysis. Conclusion The safety, and mid- and long-term clinical efficacy of MVP in the treatment of FMR patients are better than MVR, and the left atrial and left ventricular diameters are statistically reduced, and cardiac function is statistically improved. However, the surgeon needs to be well aware of the indications for the MVP procedure to reduce the rate of mitral regurgitation recurrence.

Objective To establish and validate a nomogram model for predicting the risk of new-onset postoperative atrial fibrillation (POAF) after isolated aortic valve replacement (AVR). Methods The clinical data of patients without atrial fibrillation (AF) who underwent isolated AVR in the General Hospital of the Northern Theater of Command from June 2020 to June 2022 were retrospectively collected. Patients with AVR were divided into a POAF group and a non-POAF group according to whether POAF occurred within 7 days after surgery. The preoperative baseline data, blood indexes, color Doppler echocardiography and the heart rate variability (HRV) in 7 days before surgery were analyzed. Logistic regression was used to analyze the preoperative risk factors for POAF and R language was used to construct a nomogram to predict POAF. The results were compared with the established AF model (POAF-AF score). Results A total of 191 patients were enrolled in this study, and 66 (35%) of them developed POAF within 7 days after the surgery. The age of the patients in the POAF group was (60.97±8.41) years and 16 (24%) were female, while the age of the patients in the non-POAF group was (54.65±11.85) years and 59 (47%) were female. Univariate and multivariate logistic regression analysis showed that age, sex, drinking history, chronic obstructive pulmonary disease, plateletocrit and high frequency power were independently associated with POAF after the AVR. The nomogram of POAF was constructed by combining the above independent risk factors. We predicted the area under receiver operating characteristic curve (AUC=0.812) in the nomogram of POAF after simple aortic valve replacement. The model was internally verified by a 10-fold cross-validation resampling (AUC=0.757, Kappa=0.438). Compared with the POAF-AF score, the nomogram had a superior discrimination performance. Conclusion Age, sex, drinking history, chronic obstructive pulmonary disease, plateletocrit, and high frequency power are independent predictors for POAF after isolated AVR. The nomogram can be used as a practical tool to help clinicians predict the probability of individual POAF occurrence and take necessary preventive measures.

Particulate matter (PM) is the main air pollutant in China. Due to its wide distribution and difficulties in control, PM has been widely concerned. PM mainly enters human body through respiratory exposure and can cause a variety of health problems. Recent studies have shown that PM exposure is also associated with the occurrence and development of digestive system diseases, as it can enter human body indirectly through the respiratory tract or directly through the digestive tract. Gut microbiota (GM) is a group of microorganisms located in the intestinal epithelium mucosa and intestinal lumen. GM is large in number and rich in functions, and its homeostasis plays an important role in the intestinal health of individuals and even the health of the body. Because GM may mediate the health effects induced by environmental factors, more and more studies have focused on the effects of ambient PM on GM. In this review, we summarized the effects of a variety of ambient PM on GM homeostasis, focusing on five major phyla including Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, and Verrucomicrobia, and discussed their main functions and the effects of PM on their homeostasis and abundance.

Objective To evaluate the incidence of postoperative atrial fibrillation (POAF) after dexmedetomidine and diazepam in patients undergoing coronary artery bypass grafting (CABG). Methods A retrospective cohort study was conducted in the patients who underwent CABG in the General Hospital of Northern Theater Command from October 2020 to June 2021. By propensity score-matching method, the incidence of POAF after dexmedetomidine and diazepam application in patients undergoing CABG was evaluated. Results Finally 207 patients were collected, including 150 males and 57 females, with an average age of 62.02±8.38 years. Among the 207 patients, 53 were treated with dexmedetomidine and 154 with diazepam before operation. There was a statistical difference in the proportion of hypertension patients and smoking patients between the two groups before matching (P<0.05). According to the 1∶1 propensity score-matching method, there were 53 patients in each of the two groups, with no statistical difference between the two groups after matching. After matching, the incidence of POAF in the dexmedetomidine group was lower than that in the diazepam group [9.43% (5/53) vs. 30.19% (16/53), P=0.007]. There was no death in the two groups during hospitalization, and there was no statistical difference in the main adverse events after operation. The ICU stay (21.28±2.69 h vs. 22.80±2.56 h, P=0.004) and mechanical ventilation time (18.53±2.25 h vs. 19.85±2.01 h, P=0.002) in the dexmedetomidine group were shorter. Regression analysis showed that age, smoking and diabetes were related to the increased incidence of POAF (P<0.05), and preoperative use of dexmedetomidine was associated with a reduced incidence of POAF (P=0.002). Conclusion For patients undergoing CABG, the incidence of POAF with dexmedetomidine before operation is lower than that with diazepam. Preoperative application of dexmedetomidine is the protective factor for POAF, and old age, smoking and diabetes are the risk factors for POAF.

Objectives:To analyze the performance and characteristics of adolescent suicide attempters in dif-ferent dimensions of decision making,a computational model was used in this study.Methods:A total of 70 adoles-cent suicide attempters with mood disorders meeting the International Statistical Classification of Diseases and Re-lated Health Problems,Tenth Revision(ICD-10)diagnosis,40 non-suicide attempters with mood disorder,and 49 normal controls were included.By using the MCQ and IGT and through computational model analysis,the adoles-cent suicide attempters'performance and underlying cognitive components in impulsive decision making and value-and learning-based decision making were analyzed.Results:The overall delay discounting rates showed no signifi-cant differences(P＞0.05)among the group of suicide attempters,patient controls,and normal controls in the MCQ.This rate was significantly higher in suicide attempters and non-suicide attempters than in normal controls(P＜0.05);there was no significant difference between the three groups of subjects'decision making performance in the IGT(P＞0.05).Computational model analysis revealed that compared to non-suicide attempters and normal controls,suicide attempters showed reduced sensitivity to the outcome as well as reduced exploratory behavior(Pa-rameter estimate with non-overlapping 80％HDI).Conclusion:Adolescent suicide attempters may not be able to learn from the outcome of the decision and explore more possible options to resolve the crisis,as well as impulsive decision-making impairment may be associated with depressed states rather than suicide attempts.

Objective:To investigate the status of medical care seeking delay and diagnosis delay of pulmonary tuberculosis (PTB) patients in Tongzhou District and Changping District of Beijing, analyze the related factors and put forward suggestions for early detection and scientific management of PTB patients.Methods:A retrospective epidemiological survey was conducted to collect the incidence data of PTB registered in Tongzhou and Changping from January 1 to December 31, 2021 by using the Chinese Tuberculosis Information Management System, and telephone interview were used for information supplement. Multivariate logistic regression model and decision tree model were used to analyze the influencing factors of medical care seeking delay and diagnosis delay of PTB patients.Results:In 2021, the medical care seeking delay time M( Q1, Q3) in the PTB patients in Tongzhou and Changping was 11 (5, 26) days, with a delay rate of 41.71%. Results from multivariate logistic regression model analysis revealed that factors influencing the medical care seeking delay included regular health check-up ( OR=0.033, 95% CI: 0.008-0.147), coughing for less than 2 weeks or showing any symptom of PTB before medical care seeking ( OR=0.378, 95% CI: 0.215-0.665), showing other symptoms before medical care seeking( OR=2.791, 95% CI: 1.710-4.555), no work or school in medical care seeking ( OR=2.990, 95% CI: 1.419-6.298). The diagnosis delay time M( Q1, Q3) in the PTB patients was 8 (0, 18) days, with a delay rate of 35.20%. Multivariate logistic regression model analysis revealed that the factors influencing the diagnosis delay of PTB included being diagnosed at a specialized tuberculosis hospital ( OR=0.426, 95% CI: 0.236-0.767) or a tuberculosis prevention and control institution ( OR=1.843, 95% CI: 1.061-3.202) and being traced as a source of infection ( OR=2.632, 95% CI: 1.062-6.521). The overall performance of the multivariate logistic regression model was comparable to that of the decision tree model, with the decision tree model exhibiting higher sensitivity but lower specificity. Conclusions:The medical care seeking delay rate and diagnosis delay rate of tuberculosis in Tongzhou and Changping were at low levels in 2021. However, it is still necessary to strengthen the health education and active screening, improve the public awareness of PTB prevention and control, and further improve the level of medical services and medical access to reduce the medical care seeking delay and diagnosis delay of PTB patients.

Objective: To investigate the trend of hepatitis B incidence among children under 10 years in Zhejiang Province from 2004 to 2020 with age, period and birth cohort, so as to provide the basis for evaluating the implementation of hepatitis B prevention and control measures for children in Zhejiang Province. Methods: Data of hepatitis B incidence among children under 10 years in Zhejiang Province from 2004 to 2020 were collected through the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. The trend in hepatitis B incidence was analyzed using an age-period-cohort model. Results: The incidence of hepatitis B among children under 10 years in Zhejiang Province decreased from 12.91/105 in 2004 to 0.61/105 in 2020, with a reduction of 95.24%. The incidence showed an decreasing trend with the increase of age. Compared with 2012, the risk of hepatitis B incidence among children under 10 years appeared a tendency towards a decline with time, with the period rate ratio decreased from 4.546 (95%CI: 3.322-6.220) in 2004 to 0.277 (95%CI: 0.161-0.478) in 2020. Compared with the 2008 cohort, the risk of hepatitis B incidence appeared a tendency towards a decline with cohort, with the cohort rate ratio decreased from 25.535 (95%CI: 15.105-43.166) in 1995 to 0.135 (95%CI: 0.038-0.475) in 2020. Conclusions The incidence of hepatitis B among children aged under 10 years in Zhejiang Province from 2004 to 2020 showed a downward trend. The risk of hepatitis B incidence decreased with increasing age and advancing birth cohort.

Objective: To explore perceived social support levels of vocational school students and associated factors, so as to provide a basis for the fine tuned construction of social support networks for vocational school students. Methods: Adopting a combination of multi stage cluster sampling and convenience sampling method, a sample of 11 767 vocational school students in Shanghai City and Jiangsu Province were selected to conduct two surveys (November 2021 and November 2022) by using a self administered electronic questionnaire regarding personal, family, school information and the Child and Adolescent Social Support Scale (CASSS). Correlates were analyzed by generalized linear estimating equations (GEE). Results: The total perceived social support scores in percentage at baseline and follow up survey were (66.13±20.46) and (67.65±21.18). The results of GEE showed that in terms of personal characteristics, girls had higher emotional support and evaluative support scores than boys ( B=0.60, 0.68, P < 0.05 ); extraversion, non-smoking, non-drinking, exercising ≥1 time per week, and better quality of sleep were positively correlated with the total score and the different types scores of precieved social support, and time spent on the Internet >2 h/d was negatively correlated with the total score and the different types scores of precieved social support ( B=1.03-4.49, -4.04--0.58, P < 0.05 ). In terms of family characteristics, parents not in marriage and living with (external) grandparents were negatively correlated with the total score and different types scores of percieved social support, while family characteristics such as satisfaction with family income (average, satisfactory, very satisfactory) and parents education level of junior high school and above were positively correlated with the total score and the different types scores of precieved social support ( B=-1.34--0.37, 0.57-2.37, P <0.05). In terms of school characteristics, without experience of bullying in school and the number of same sex or opposite sex friends >1 were positively correlated with the total score and different types scores of perceptual social support, and without serving as an officer of a student organization was negatively correlated with the total score and the different types scores of precieved social support ( B= 1.21- 5.04, -2.00--0.76, P <0.05). Conclusions The levels of overall and different types of precieved social support among vocational school students need to be improved. According to individual, family, and school related factors of precieved social support can help to target the improvement of students precieved social support level.

Objective: To develop an assessment tool for risky road behavior tendencies among middle school students in western China, as well as to determine the relevant indices and their weights, so as to provide the reference for road safety prevention and control for middle school students in western China. Methods: A Delphi study was employed to construct the assessment tool for risky road behavior tendencies among middle school students in western China. In August 2023, eighteen experts in related fields such as traffic safety, education, and healthcare were invited to achieve Delphi consensus. The final indices were initially selected based on the consulting results,followed by the determination of their individual and combined weights using the analytic hierarchy process. Results: The finalized assessment tool comprised 3 primary indicators, 13 secondary indicators, and 100 tertiary indicators. The positivity coefficient of experts was 100%, accompanied by the authority coefficient 0.90. The mean importance scores for the three primary indicators varied from 4.67 to 4.78, while those for the 13 secondary indicators ranged from 4.22 to 4.89. The Kendall coefficient W was statistically significant at 0.32 ( χ 2=96.83, P <0.05). The weights assigned to the three primary indicators were:ability (0.329 4), opportunity (0.337 3), and motivation (0.333 3). The secondary indicators with the top three highest combined weights were social influence (0.027 4), knowledge (0.027 3), and skills (0.026 7). Conclusions The assessment tool for risky road behavior tendencies among middle school students in western China demonstrates high expert consensus, with balanced weighting of primary and secondary indicators. Expanded use of the assessment tool would provide the data support for intervention work.

The health effects associated with environmental pollutants remain one of the major public health issues at present. The research method focusing on the population as the research subjects is limited by reliable cohorts, and the research method targeting individual molecules cannot fully reflect the biological health effects under environmental pollutant stress. Using high-throughput multi-omics, machine learning, and epigenetic detection to conduct targeted research and joint analysis on cells, organoids, organs, animals, and humans in different biological dimensions will help provide data support for the study of potential targets and biological effects of environmental pollutants, providing a theoretical basis for the risk assessment and safety evaluation of environmental pollutants.