Objective: To explore the association between processed food consumption and anxiety symptoms among college students in Yunnan Province, so as to provide a reference for the prevention and treatment of anxiety symptoms in this population. Methods: A cluster random sample of 2 515 first year students from two universities in Yunnan Province was selected to carry out a longitudinal investigation which included a baseline survey (November 2021, T1) and three follow up visits (June 2022, T2; November 2022, T3; June 2023, T4). The food frequency questionnaire was administered to assess processed food consumption, and the Depression Anxiety Stress Scale-21 (DASS-21, Chinese version) was used to evaluate anxiety symptoms. A generalized estimation equation model was used to analyze the relationship between processed food consumption and anxiety symptoms. Results: The detection rates of T1-T4 anxiety symptoms among college students in Yunnan Province were 29.70%, 36.70%, 37.69% and 38.73 %, respectively, and the corresponding anxiety symptom scores were 4(0,8), 4(0,10), 4(0,12), 2(0,14). After controlling for demographic variables and confounding factors in the generalized estimation equation model, a statistically significant association was found between consumption of carbonated beverages ( β=0.06, 95%CI =0.03-0.08), and other processed snacks ( β= 0.04 , 95%CI =0.01-0.07) ( P <0.05). The stratified analysis by gender showed that the consumption of carbonated beverages ( β=0.08, 95%CI =0.05-0.12) and fast food ( β=0.03, 95%CI =0.00-0.06) was significantly associated with anxiety symptoms in female college students ( P <0.05). There was no significant association between processed food consumption and anxiety symptoms in male college students ( P >0.05). Conclusions Processed food consumption by college students in Yunnan Province may increase the risk of anxiety symptoms, particularly among female students. There is a need to strengthen guidance in respect to processed food consumption, so as to prevent and treat anxiety symptoms.

ObjectiveTo genotype Oncomelania hupensis， based on microsatellites， in different snail-bearing environments in Jiaxing City， Zhejiang Province， for population genetics analysis in order to explore the reasons and influencing factors for the existence or proliferation of snails and to provide scientific basis for effective monitoring and control of snails. MethodsA total of 90 snail samples from three populations were collected in Yaobang Village （YB） and Sanxing Village （SX） in Pinghu City， and Yunhe Farm （YH） in Xiuzhou District， all were selected for snail checking in key snail habitats of Jiaxing City in 2022. DNA of the snails was genotyped and analyzed for population genetics using nine microsatellite loci. ResultsA total of 84 alleles were observed， and the mean number of alleles （Na） was 7.889， 5.667， and 3.778 for YB， SX， and YH respectively； the number of effective alleles （NeA） was 4.807， 3.329， and 2.294， respectively； and the coefficients of inbreeding （F_IS） were 0.400， 0.377， and 0.493， respectively. Under the Infinite Allele Model （IAM）， the SX and YH might have a recent bottleneck. The NEstimator and LDNe software calculated effective population sizes （Ne） were above 31.9. AMOVA analysis showed that the variation of snails in the three populations mainly existed among individuals， accounting for 41.4% of the total variation. The value of the index of genetic differentiation between populations （F_ST） was 0.286， indicating a high degree of genetic differentiation. The results of the principal component analysis and phylogenetic tree were consistent， and the three populations were divided into two lineages， YB and SX were one lineage， and YH belonged to another independent lineage. Population history and dynamics analysis showed that the gene flow of the three populations was insufficient， population divergence history indicated that YH might have diverged from SX first， and YB was produced by the contact fusion of SX and YH. ConclusionThe genetic diversity of snail populations in Jiaxing City is generally low， and the snail populations are unstable， with a great degree of genetic differentiation and insufficient gene flow among populations. This study can provide a basis for evaluating the effectiveness of the control of the snail as well as monitoring the trend of the spread of the snail.

Objective:Using different machine learning methods to construct and screen the best prediction model for predicting the risk of death within 30 days after surgery in patients with acute type A aortic dissection.Methods:Five hundred and twenty-one patients with acute type A aortic dissection who underwent surgery between 2015 and 2022 were included, after collecting their perioperative date and screening them, 329 patients were retained. two different groups of predictor variables were generated by using Lasso regression and principal component analysis, after that, logistic regression, support vector machine algorithm, random forest algorithm, gradient boosting algorithm, and super learning algorithm were used to develop prediction models for the risk of death within 30 days after surgery. Finally, we compare the models and select the best one. Results:The AUC values for all models rangrd from 0.791-0.959. The model using Lasso regression to determine the predictor variables and built by the super learning algorithm had the best prediction with an AUC value of 0.959. Conclusion:The super learning algorithm better than other algorithms in predicting death within 30 days after acute type A aortic dissection.

Objective:This study was conducted to investigate the independent risk factors for predicting the occurrence of acute Stanford type A aortic dissection(TAAD), and to construct a nomogram model for predicting the occurrence of TAAD.Methods:The clinical data of patients meeting the diagnostic criteria for TAAD admitted to Tianjin Chest Hospital from June 2016 to December 2021 and healthy people examined by the physical examination center of Tianjin Chest Hospital during the same period were retrospectively collected, and the independent risk factors for TAAD were predicted by propensity matching analysis. Univariate and multivariate Logistic regression were used to analyze the variables with statistical differences, and a nomogram model was constructed to predict the occurrence of TAAD disease according to the screened risk factors. Results:A total of 148 patients in the TAAD group and 5 690 patients in the control group were collected. After bias matching analysis, 148 pairs were successfully matched. Multivariate Logistic regression analysis was performed on the matching results. The results showed that hypertension(HBP), diabetes mellitus(T2DM), Lp(a), very low density lipoprotein(VLDL) and apolipoprotein A1/B(ApoA1/B) were independent risk factors for the development of TAAD. HBP, Lp(a) and ApoA1/B were pathogenic factors( OR 7.267, 1.010 and 2.199, P<0.05, respectively), while T2DM and VLDL were protective factors( OR 0.173 and 0.139, P<0.05). Based on the independent risk factors obtained by multi-factor Logistic regression analysis, a nomogram model of TAAD incidence was constructed. The area under ROC curve( AUC) for predicting the onset of TAAD was 81.6%(95% CI: 0.766-0.863), and the internal calibration curve was close to the standard curve. Conclusion:This model has a good degree of differentiation and calibration, which is helpful for clinicians to guide healthy people to prevent the occurrence of TAAD and provide a theoretical basis for the prevention of TAAD.

Objective To investigate the efficacy of low-dose inhaled nitric oxide (iNO) in the treatment of severe hypoxemia after Sun’s operation. Methods The clinical data of patients undergoing Sun’s operation for acute Type A aortic dissection in our hospital from January 2020 to June 2022 were retrospectively analyzed. Patients who received conventional treatment before November 2021 were enrolled as a control group. After November 2021, iNO was used in our hospital, and the patients who received iNO as an iNO group. The preoperative clinical baseline data, perioperative clinical data and oxygenation index were compared between the two groups. Results A total of 54 patients were included in the control group, including 45 males and 9 females, with an average age of 53.0±10.9 years. A total of 27 patients were included in the iNO group, including 21 males and 6 females, with an average age of 52.0±10.6 years. The preoperative body mass index of the two groups was greater than 25 kg/m2, white blood cell count, C-reactive protein were significantly higher than normal level, but there was no statistical difference between the groups (P＞0.05). There were no statistical differences in intraoperative data between the two groups (P＞0.05). The iNO group had significantly shorter duration of mechanical ventilation, postoperative ICU stay, and postoperative hospital stay than the control group (P<0.001). After 12 h of iNO treatment, hypoxic condition improved obviously, oxygenation indices in 12 h, 24 h, 36 h,48 h, 60 h and 72 h in the iNO group were significantly higher than those in the control group (P<0.05). Conclusion The treatment of severe hypoxemia after Sun’s surgery with low-dose of iNO is safe and effective, can significantly improve oxygenation function, and has significant advantages in shortening ventilator use time, postoperative ICU stay and postoperative hospital stay, but it is not significant in changing postoperative mortality.

Objective To summarize the results and clinical experience of transcatheter valve-in-valve implantation using domestic self-expanding valve in patients with aortic degenerated bio-prosthesis. Methods From January 2019 to April 2023, the patients who underwent transcatheter valve-in-valve surgery in the Department of Cardiac Surgery of Tianjin Chest Hospital due to surgical bio-prosthesis failure were included. Characteristics of valves, perioperative complications, and hemodynamic manifestations during the early postoperative and follow-up period were analyzed. Results A total of 24 patients were enrolled, including 14 males and 10 females with an average age of 68.17±7.72 years, and the average interval between the two operations was 10.48±4.09 years. All patients were successfully discharged without complications such as coronary artery obstruction and pacemaker implantation, and the average transvalvular pressure gradient was 16.39±6.52 mm Hg before discharge. During the median follow-up time of 16 months, the left ventricular diastolic inner diameter and ejection fraction were continuously improved. Conclusion Transcatheter valve-in-valve using domestic self-expanding valves is safe and feasible to treat aortic bioprosthetic valve failure. Sound patient selection and surgical strategies are critical to achieve good hemodynamics.

Objective:To establish an animal model of trans-sutural distraction osteogenesis in SD rats.Methods:A self-designed V-shaped distraction device(distractor)was fabricated with the traction force(N)of 0,1.3,2.2,3.0,4.3 and 5.0 corresponding to the distraction length(mm)of 5,4,3,2,1 and 0 respectively,meeting the trans-sutural distraction osteogenesis requirements in skull of 5-week-old SD rats.The distractor was plased into the sagittal suture of 12 SD rats.Continuous sampling was conducted 1,3,5 and 7 days respectively(n=3)after operation.The tissue changes in the trans-sutural distraction area were observed by HE and Masson's trichrome staining.Inflammation levels were determined using Arg-1 immunofluorescence staining.The early angiogenesis was clarified through co-staining with CD31 and EMCN.Results:A stable trans-sutural distraction osteogenesis model was estab-lished,5 mm distraction osteogenesis width was observed completely within 7 days of distraction.Significant new bone formation was observed at 7 days after operation.Arg-1 expression increased and was concentrated at the bone margins,overlapping with the areas of new bone formation.EMCN expression gradually decreased,and by day 7 CD31 was predominant,indicating the basic maturation of blood vessels.Conclusion:This study successfully constructed a stable and effective trans-sutural distraction osteogenesis animal model,and provides an experimental basis for the investigation of its early continuous histological changes.

Objective To explore the feasibility of automatic segmentation of clinical target volume(CTV)and organs at risk(OARs)for cervical cancer using AccuLearning(AL)based on geometric and dosimetric indices.Methods Seventy-five CT localization images with manual contouring data of postoperative cervical cancer were enrolled in this study.Sixty cases were randomly selected to trained to generate automatic segmentation model by AL,and the CTV and OARs of the remaining 15 cases were automatically contoured.Radiotherapy plans on the automatic segmentation contours were imported on the CT images of manual contours.The efficiency,Dice similarity coefficient(DSC),Hausdorff distance(HD)and dosimetric parameters were compared between the two methods.Results The time of automatic segmentation was significantly shorter than that of the manual contour(P<0.05).The DSC of all structures were≥0.87.The HD of bowel bag and rectum were about 10 mm,and that of the rest of OARs were less than 5 mm.CTV(D98,V90% ,V95% ,Dmean,HI),bowel bag(V50)and bladder(V50)had significant differences in dosimetric comparison(P<0.05).Conclusion The automatic segmentation model based on AL can improve the efficiency of radiotherapy.Automatic segmentation of OARs has the potential of clinical application,while that of CTV still needs to be further modified.

Objective:To analyze the factors affecting delayed chemotherapy in children with Burkitt lymphoma (BL) and their influence on prognosis.Methods:Retrospective cohort study. Clinical data of 591 children aged ≤18 years with BL from May 2017 to December 2022 in China Net Childhood Lymphoma (CNCL) was collected. The patients were treated according to the protocol CNCL-BL-2017. According to the clinical characteristics, therapeutic regimen was divided into group A, group B and group C .Based on whether the total chemotherapy time was delayed, patients were divided into two groups: the delayed chemotherapy group and the non-delayed chemotherapy group. Based on the total delayed time of chemotherapy, patients in group C were divided into non-delayed chemotherapy group, 1-7 days delayed group and more than 7 days delayed group. Relationships between delayed chemotherapy and gender, age, tumor lysis syndrome before chemotherapy, bone marrow involvement, disease group (B/C group), serum lactate dehydrogenase (LDH) > 4 times than normal, grade Ⅲ-Ⅳ myelosuppression after chemotherapy, minimal residual disease in the interim assessment, and severe infection (including severe pneumonia, sepsis, meningitis, chickenpox, etc.) were analyzed. Logistic analysis was used to identify the relevant factors. Kaplan-Meier method was used to analyze the patients' survival information. Log-Rank was used for comparison between groups.Results:Among 591 patients, 504 were males and 87 were females, the follow-up time was 34.8 (18.6,50.1) months. The 3-year overall survival (OS) rate was (92.5±1.1)%,and the 3-year event-free survival (EFS) rate was (90.5±1.2)%. Seventy-three (12.4%) patients were in delayed chemotherapy group and 518 (87.6%) patients were in non-delayed chemotherapy group. The reasons for chemotherapy delay included 72 cases (98.6%) of severe infection, 65 cases (89.0%) of bone marrow suppression, 35 cases (47.9%) of organ dysfunction, 22 cases (30.1%) of tumor lysis syndrome,etc. There were 7 cases of chemotherapy delay in group B, which were seen in COPADM (vincristine+cyclophosphamide+prednisone+daunorubicin+methotrexate+intrathecal injection,4 cases) and CYM (methotrexate+cytarabine+intrathecal injection,3 cases) stages. There were 66 cases of chemotherapy delay in group C, which were common in COPADM (28 cases) and CYVE 1 (low dose cytarabine+high dose cytarabine+etoposide+methotrexate, 12 cases) stages. Multinomial Logistic regression analysis showed that the age over 10 years old ( OR=0.54,95% CI 0.30-0.93), tumor lysis syndrome before chemotherapy ( OR=0.48,95% CI 0.27-0.84) and grade Ⅲ-Ⅳ myelosuppression after chemotherapy ( OR=0.55,95% CI 0.33-0.91)were independent risk factors for chemotherapy delay.The 3-year OS rate and the 3-year EFS rate of children with Burkitt lymphoma in the delayed chemotherapy group were lower than those in the non-delayed chemotherapy group ((79.4±4.9)% vs. (94.2±1.1)%, (80.2±4.8)% vs. (92.0±1.2)%,both P<0.05). The 3-year OS rate of the group C with chemotherapy delay >7 days (42 cases) was lower than that of the group with chemotherapy delay of 1-7 days (22 cases) and the non-delay group (399 cases) ((76.7±6.9)% vs. (81.8±8.2)% vs. (92.7±1.3)%, P=0.002).The 3-year OS rate of the chemotherapy delay group (9 cases) in the COP (vincristine+cyclophosphamide+prednisone) phase was lower than that of the non-chemotherapy delay group (454 cases) ((66.7±15.7)% vs. (91.3±1.4)%, P=0.005). Similarly, the 3-year OS rate of the chemotherapy delay group (11 cases) in the COPADM1 phase was lower than that of the non-chemotherapy delay group (452 cases) ((63.6±14.5)% vs. (91.5±1.3)%, P=0.001). Conclusions:The delayed chemotherapy was related to the age over 10 years old, tumor lysis syndrome before chemotherapy and grade Ⅲ-Ⅳ myelosuppression after chemotherapy in pediatric BL. There is a significant relationship between delayed chemotherapy and prognosis of BL in children.

Objective: To investigate the incidence density of adult sleep disorders (SD) in Yinzhou District, Ningbo City, Zhejiang Province from 2017 to 2023, so as to provide insights into formulating the control measures of SD. Methods: The electronic health records of permanent residents aged 18 years and over in Yinzhou District from 2017 to 2023 were collected through the Yinzhou Regional Health Information Platform. New cases of SD were diagnosed for the first time a year after establishing health records. The incidence density was estimated using Poisson distribution. The temporal, population and regional distribution characteristics of new cases of SD were analyzed using a descriptively epidemiological method. Results: From 2017 to 2023, there were 1 255 129 permanent residents aged 18 years and over in Yinzhou District, with a total observed person-time of 6 292 884 person-years and a median of 5.67 (interquartile range, 3.74) person-years. There were 165 490 new cases of SD, including 67 095 males (40.54%) and 98 385 females (59.46%). The incidence density of SD in Yinzhou District from 2017 to 2023 was 26.30/1 000 person-years, with no significant trend observed (P>0.05). The incidence density of SD was higher in females than in males (29.63/1 000 person-years vs. 22.57/1 000 person-years, P<0.05). The highest incidence density of SD was observed in individuals aged 70 to <80 years (63.30/1 000 person-years), and the lowest was in individuals aged 18 to <30 years (7.24/1 000 person-years). The incidence density of SD in individuals aged 30 years and over was higher than that in individuals aged 18 to <30 years (all P<0.05). The incidence density of SD was 32.03/1 000 person-years in individuals with junior high school education or below, which was higher than individuals with senior high school/technical secondary school education (25.93/1 000 person-years) and college degree and above (18.87/1 000 person-years, all P<0.05). Dongliu Street, Dongjiao Street, and Baihe Street had relatively higher incidence densities of SD, at 45.11/1 000 person-years, 42.87/1 000 person-years and 40.16/1 000 person-years, respectively. Conclusions From 2017 to 2023, there was no significant trend in the incidence density of SD in Yinzhou District. Higher incidence density were observed in females, the elderly, and individuals living in central urban areas.