Objective: To explore the effects of 8week highintensity interval training on body shape and adipokines of obese male college students, so as to provide practical reference for weight loss of obese college students. Methods: A total of 30 male college students [age (20.10±0.55)years] with body mass index (BMI) ≥28 kg/m2 were recruited in March 2022 at China University of Petroleum (East China). The 8week highintensity interval training (HIIT) intervention was conducted from 11 April to 10 June 2022, 3 times a week (Monday, Wednesday, Friday), each time for 16:30-17:30. Body composition and adipokine levels were assessed before and after the intervention. All indicators were compared by pairedsamples ttests and single factor repeated measurement analysis of variance before and after intervention, and Pearson correlation analyses were used to test for associations between variables. Results: After 8 weeks of intervention, BMI, waist circumference and body fat of obese male college students decreased from (31.36±4.41)kg/m2, (107.52±9.66)cm and (28.04±5.79)kg to (30.40±4.37)kg/m2, (100.67±8.29)cm and (22.56±5.22)kg, respectively (t=3.84, 8.02, 9.29). Fatfree body mass index increased from (70.19±5.54)kg/m2 to (75.34±5.25)kg/m2 (t=-8.65) (P<0.01). There were statistically significant differences in the levels of Leptin, Adiponectin, and Irisin before intervention, at week 4 and at week 8 (F=26.05, 35.62, 4.95, P<0.05). There was no statistically significant difference in the content of reticulin (F=3.62, P>0.05). Conclusions The 8week of HIIT can effectively improve body shape of obese male college students and affect the effects of adipokines in the body. HIIT can be added to sports exercise to improve the health status of obese college students.

Objective To analyze the clinical outcomes of early invasive fungal disease(IFD)in patients after allogenetic hematopoietic stem cell transplantation(allo-HCST)with metagenomic next-generation sequencing(mNGS).Methods A retrospective analysis was conducted on patients undergoing allo-HCST in our Bone Marrow Transplantation Center between July 2021 and October 2022.These patients experienced one of the following conditions within 100 d after transplantation:① Patients with persistent fever and negative blood culture after empiric antimicrobial therapy for 72 h or longer;② Hyperpyrexia of unknown origin occurred again after effective anti-infection in the past;③ Symptoms in lower respiratory tract associated with lung lesions on CT scan,and empiric anti-infective therapy was ineffective.Peripheral blood or bronchoscopic alveolar lavage fluid were tested with mNGS,and overall survival(OS)and non-relapse mortality(NRM)were analyzed.Results There were 60 patients enrolled in this study.For the peripheral blood samples of 47 cases and bronchoalveolar lavage fluid samples of 13 cases,mNGS found that 19 cases were negative to pathogens,30 cases were non-fungal positive,and 11 case were fungal positive,including 3 cases of aspergillus,5 cases of mucor,2 cases of Candida tropicalis,and 1 case of Trichosporon asahii.Of the 11 patients with fungal positive,8 achieved complete remission after antifungal therapy according to the mNGS results.The 1-year OS and NRM of the 60 patients were 70.0％(95％CI:64.1％～75.9％)and 20.0％(95％CI:11.9％～32.5％),respectively,while those of the fungal infection patients were 54.5％(95％CI:49.5％～69.5％)and 36.4％(95％ CI:15.5％～70.3％),respectively.No significant differences were seen in 1-year OS(P=0.487)and 1-year NRM(P=0.358)among the negative,fungal infection and non-fungal infection patients,neither OS(P=0.238)and NRM(P=0.154)between the fungal infection and the non-fungal infection patients.Conclusion mNGS can rapidly diagnose the early IFD after allo-HSCT,which is helpful for timely and effective treatment and improves the prognosis of patients.

Objectives:To explore the risk factors for death from ruptured acute aortic dissection during emergency treatment,construct and validate a risk prediction model for death from ruptured acute aortic dissection during emergency treatment. Methods:A total of 301 cases of acute aortic dissection patients who were admitted to Chinese Academy of Medical Sciences Fuwai Hospital from January 2018 to August 2021 were included in this study.Patients were divided into survival subgroup(n=239)and death subgroup(n=62)according to whether dissection rupture occurred in the acute stage of the disease.Univariate and multivariate analyses were performed.Logistic regression analysis was used to establish the risk prediction model.The Hosmer-Lemeshow test was conducted to assess the model's goodness of fit,and the receiver operating characteristic curve(ROC curve)was used to evaluate the model's predictive performance.A prospective validation was performed on 129 cases of acute aortic dissection patients admitted to our hospital's emergency department from September 2021 to September 2022. Results:Among the 301 cases of acute aortic dissection patients,there were 62 cases of rupture and death,with an incidence rate of 20.6%.The results of multivariate analysis showed that age(OR=1.066,95%CI:1.034-1.099),type A dissection(OR=0.045,95%CI:0.006-0.364),history of hypertension(OR=0.377,95%CI:0.167-0.850),and concomitant hypotension(OR=4.424,95%CI:1.467-13.340)were determinants of deaths.The model formula was Z=-5.624+0.064×age-0.976×history of hypertension(yes=1,no=0)-3.104×type(Type A=0,Type B=1)+1.487×concomitant hypotension(yes=1,no=0).The Hosmer-Lemeshow test result showed χ2=9.328,df=8,P=0.315,the area under the ROC curve was 0.874,sensitivity was 79.0%,specificity was 81.6%,and the maximum Youden index was 0.606.The model validation result showed that the area under the ROC curve was 0.722,sensitivity was 73.7%,specificity was 69.1%,and accuracy was 89.9%. Conclusions:Age,history of hypertension,dissection type,and combined hypotension are predictors of the risk prediction model for death from dissection rupture in patients with acute aortic dissection during emergency treatment.The model constructed in this study has good predictive performance,which can provide reference for medical staffto quickly identify high-risk patients for death from ruptured acute aortic dissection and timely predictive measures could be highlighted in indicated cases.

Objective:To investigate the application effect of situational simulation combined with the Debriefing-GAS method in the teaching of prenatal genetic counseling.Methods:A total of 30 medical students of the five- and eight-year programs in the classes of 2017 and 2018 who received genetic counseling training in The First Affiliated Hospital of Sun Yat-sen University from May 2021 to May 2022 were selected as research subjects, and situational simulation combined with the debriefing-GAS method was used for the teaching of prenatal genetic counseling. Assessment was performed by the teacher to evaluate the change in genetic counseling abilities during the teaching process, and a questionnaire survey was conducted to investigate the degree of satisfaction with teaching among the students. SPSS 26.0 software was used for data analysis; normally distributed continuous data were expressed as mean±standard deviation, non-normally distributed continuous data were expressed as M d(P 25,P75), and categorical data were expressed as frequency and rate; the paired samples t-test was used for comparison of assessment scores before and after teaching. Results:After teaching, there were significant increases in the assessment scores of genetic counseling [(74.5±18.6) points vs. (87.2±14.5) points, t=4.10, P<0.001] and comprehensive abilities such as clinical ability [(35.4±9.6) points vs. (41.1±6.9) points, t=3.72, P=0.001], doctor-patient communication [(17.5±4.6) points vs. (20.8±3.8) points, t=4.34, P<0.001], professional literacy [(11.0±2.5) points vs. (12.5±2.3) points, t=2.89, P=0.007], teamwork [(3.5±1.0) points vs. (4.2±0.8) points, t=3.67, P=0.001], and organizational effectiveness [(7.1±2.0) points vs. (8.3±1.7) points, t=2.94, P=0.006]. The questionnaire survey showed that the degree of satisfaction among students was rated above satisfaction for the reasonability of the implementation process and links of genetic counseling teaching [3.0 (3.0, 4.0) points], teaching quality [3.5 (3.0, 4.0) points], whether the teaching model could effectively increase the interest and initiative in learning [4.0 (3.0, 4.0) points], the improvement in theoretical knowledge [4.0 (3.0, 4.0) points], communication skills in genetic counseling [3.0 (3.0, 4.0) points], and the understanding of related techniques and application prospect [3.0 (3.0, 4.0) points]. However, two students (6.7%) thought that this teaching model could not efficiently reach teaching objectives, since the teaching process was slightly complicated. Conclusions:Situational simulation combined with the debriefing-GAS method has achieved a good effect in the teaching of prenatal genetic counseling and can help undergraduates to master the theoretical knowledge of prenatal genetic counseling and improve their comprehensive clinical abilities, with a relatively high degree of satisfaction, and therefore, it holds promise for clinical application.

Objective:To evaluate the clinical value of intraoperative sliding CT in deep brain stimulation (DBS) for Parkinson's disease (PD).Methods:A total of 117 PD patients accepted DBS in Department of Neurosurgery, First Affiliated Hospital of Zhengzhou University from May 2019 to May 2023 were chosen; 46 patients had local anesthesia and 71 had general anesthesia. Bilateral subthalamic nucleus (STN) DBS was performed in 73 patients, bilateral medial globus pallidus (GPi) DBS was performed in 43 patients, and right GPi and left STN DBS was performed in 1 patient. Preoperative/intraoperative sliding CT images and preoperative MRI images were fused to calculate the spatial distance between the preoperative planned target and actual target (adjusting electrode position timely in case of spatial distance greater than 2 mm [electrode displacement]). Differences of spatial distance between preoperative planned target and actual target in patients accepted different types of anesthesia and surgical modalities were compared.Results:All 117 patients were successfully operated and 234 electrodes were implanted. No patients needed a second operation for misalignment of electrodes or poor efficacy. During CT scan, neither anesthesia extubation or mechanical collision nor intracranial hemorrhage complications occurred. Spatial distance between the preoperative planned target and actual target was (1.35±0.50) mm in 117 patients. Displacement was noted in 4 electrodes and immediately adjusted during the operation; and CT re-examination confirmed good electrode position. No statistical significance in spatial distance between the preoperative planned target and actual target was noted between the general anesthesia group and local anesthesia group, and between the STN group and GPi group ( P>0.05). Conclusion:Intraoperative sliding CT is simple, safe and effective, which helps to timely adjust the electrode position during operation, avoids second operation and complications, and improves the safety and efficacy of DBS.

OBJECTIVE To construct a risk prediction model for non-compliance with inhaled medication in patients with chronic obstructive pulmonary disease （COPD）. METHODS A retrospective analysis was conducted on 365 COPD patients admitted to the cough and wheeze pharmaceutical care clinic of the First Hospital of Qinhuangdao from October 2021 to October 2023. The patients admitted from October 2021 to June 2023 were selected as the model group （n＝303）， and the patients admitted from July to October 2023 were selected as the validation group （n＝62）. The model group was divided into compliance subgroup （n＝126） and non-compliance subgroup （n＝177）. Univariate analysis combined with multivariate Logistic regression analysis were used to analyze the risk factors for non-compliance with inhaled formulations in patients； the risk prediction model was established through regression analysis， and the accuracy of the model prediction was evaluated based on the validation group of patients. RESULTS Multivariate Logistic regression analysis showed that simultaneous use of 2 inhaled formulations （OR＝3.730， 95%CI 1.996-6.971， P＜0.001）， the number of acute exacerbations within one year ≥2 （OR＝2.509， 95%CI 1.509-4.173， P＜0.001）， smoking （OR＝2.167， 95%CI 1.309-3.588， P＝0.003）， complicated with anxiety/depression （OR＝2.112， 95%CI 1.257-3.499， P＝0.004） and mMRC grading≥2 levels （OR＝1.701， 95%CI 1.014-2.853， P＝0.044） were risk factors for non-compliance with inhaled preparations. Based on this， a risk prediction model was established and the ROC curve was drawn. The areas under the curve of the model group and validation group were 0.836 and 0.928， and the overall accuracy of the model’s prediction was 88.71%. CONCLUSIONS The predictive model based on the simultaneous use of 2 inhaled formulations， the number of acute exacerbations within one year ≥2， smoking， complicated with anxiety/depression， mMRC grading ≥2 levels has certain predictive value for the risk of non-compliance with inhaled formulations for COPD patients.

OBJECTIVE To construct a risk prediction model for non-compliance with inhaled medication in patients with chronic obstructive pulmonary disease （COPD）. METHODS A retrospective analysis was conducted on 365 COPD patients admitted to the cough and wheeze pharmaceutical care clinic of the First Hospital of Qinhuangdao from October 2021 to October 2023. The patients admitted from October 2021 to June 2023 were selected as the model group （n＝303）， and the patients admitted from July to October 2023 were selected as the validation group （n＝62）. The model group was divided into compliance subgroup （n＝126） and non-compliance subgroup （n＝177）. Univariate analysis combined with multivariate Logistic regression analysis were used to analyze the risk factors for non-compliance with inhaled formulations in patients； the risk prediction model was established through regression analysis， and the accuracy of the model prediction was evaluated based on the validation group of patients. RESULTS Multivariate Logistic regression analysis showed that simultaneous use of 2 inhaled formulations （OR＝3.730， 95%CI 1.996-6.971， P＜0.001）， the number of acute exacerbations within one year ≥2 （OR＝2.509， 95%CI 1.509-4.173， P＜0.001）， smoking （OR＝2.167， 95%CI 1.309-3.588， P＝0.003）， complicated with anxiety/depression （OR＝2.112， 95%CI 1.257-3.499， P＝0.004） and mMRC grading≥2 levels （OR＝1.701， 95%CI 1.014-2.853， P＝0.044） were risk factors for non-compliance with inhaled preparations. Based on this， a risk prediction model was established and the ROC curve was drawn. The areas under the curve of the model group and validation group were 0.836 and 0.928， and the overall accuracy of the model’s prediction was 88.71%. CONCLUSIONS The predictive model based on the simultaneous use of 2 inhaled formulations， the number of acute exacerbations within one year ≥2， smoking， complicated with anxiety/depression， mMRC grading ≥2 levels has certain predictive value for the risk of non-compliance with inhaled formulations for COPD patients.

Objective To detect the expression level of 4-aminobutyrate aminotransferase(ABAT)in bone marrow of patients with myelodysplastic syndrome(MDS),and analyze its influence on clinicopathological features and prognosis of patients.Methods From January 2016 to March 2020,92 patients with MDS and 30 patients with acute myeloid leukemia(AML)from the First Affiliated Hospital of Xingtai Medical College were retrospectively collected.Meanwhile,30 patients with immunothrombocytopenia who did not develop MDS or other clonal diseases of the blood system during a 3-year follow-up were collected as control group.Real-time quantitative fluorescent PCR(qRT-PCR)was used to detect the relative expression level and methylation level of ABAT mRNA of all patients,and the relative expression level and methylation level of ABAT mRNA among different clinical characteristics of MDS patients were compared.Multivariate logistic regression analysis was used to analyze the risk factors affecting the adverse prognosis of MDS.The clinical value of detecting ABAT methylation level in predicting poor prognosis of MDS patients was analyzed by receiver operating characteristic(ROC)curve.Kaplan-Meier method was used to calculate the 3-year survival rate between groups with different ABAT mRNA relative expression levels and methylation levels,and log-rank test was used for their comparison.Results The expression level of ABAT mRNA in MDS group(0.42±0.08)was lower than that in control group(0.56±0.15)and AML group(0.52±0.10),while the methylation level of ABAT(32.51±5.32)was higher than that of AML group(26.21±4.58)and control group(10.25±4.31),and the differences were significant(t=4.251,4.562;10.415,8.326,all P<0.001).The methylation level of ABAT in high-risk patients(42.65±5.32)was higher than that in low-risk patients(25.63±4.16),intermediate-risk-1 patients(30.59±2.51)and intermediate-risk-2 patients(33.25±3.69)by IPSS risk grade,and the differences were significant(t=8.329,7.077,15.874,all P<0.001).Poor Karyotype analysis result[OR(95%CI):4.973(1.524～8.581),P=0.004],high IPSS risk grade[OR(95%CI):8.542(2.365～14.521),P<0.001]and ABAT hypermethylation level[OR(95%CI):6.178(1.589～13.021),P<0.001]were the risk factors affecting the poor prognosis of MDS.The cut-offvalue of ABAT methylation level to predict the poor prognosis of MDS were 30.54,and the area under the curve(AUC),the sensitivity and specificity were 0.92,0.874 and 0.851,respectively.The 3-year survival rate of the high ABAT methylation group(>30.54)was 66.67%,which was lower than that of the low ABAT methylation group(≤30.54)was 93.18%,with significant difference(Log-rank x2=9.814,P=0.002).Conclusion The ABAT methylation levels in MDS bone marrow increase,which is a risk factor affecting the poor prognosis of patients.ABAT basal level>30.54 is expected to become a factors predicting the poor prognosis of patients.

Objective:To summarize the clinical and genetic characteristics, treatment and prognosis of four children with Steroid-resistant nephrotic syndrome (SRNS) due to variants of TRPC6 gene. Methods:Clinical data of four children with SRNS admitted to Children′s Hospital Affiliated to Zhengzhou University between May 2020 and August 2022 were collected. Peripheral blood samples were collected from the children and their parents, and whole exome sequencing was carried out. Sanger sequencing was used to verify the pathogenicity of the candidate variants among the children and their parents.Results:All of the four children were found to harbor heterozygous variants of the TRPC6 gene, including c. 523C>T (p.R175W), c. 1327T>A (p.F443I), c. 430G>C (p.E144Q) (unreported previously), and c. 523C>T (p.R175W), which were all missense variants. Two of the children have shown a simple type, whilst two have shown a nephritis type, none had extrarenal phenotype. Comprehensive renal pathology of three children revealed focal segmental glomerulosclerosis (FSGS). Two children were treated with steroids combined with calcineurin inhibitors (CNIs), among whom one showed significant improvement in symptoms. Conclusion:Discoveries of the novel c. 430G>C variant and the new SRNS phenotype of the c. 1327T>A variant have expanded the mutational and phenotypic spectrum of the TRPC6 gene, which has provided a reference for clinical diagnosis and genetic counseling for the families.

Objective:To evaluate the efficacy and prognostic factors of allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with secondary acute myeloid leukemia (sAML) .Methods:In this multicenter, retrospective clinical study, adult patients aged ≥18 years who underwent allo-HSCT for sAML at four centers of the Zhejiang Hematopoietic Stem Cell Transplantation Collaborative Group from January 2014 to November 2022 were included, and the efficacy and prognostic factors of allo-HSCT were analyzed.Results:A total of 95 patients were enrolled; 66 (69.5%) had myelodysplastic syndrome-acute myeloid leukemia (MDS-AML) , 4 (4.2%) had MDS/MPN-AML, and 25 (26.3%) had therapy-related AML (tAML) . The 3-year CIR, LFS, and overall survival (OS) rates were 18.6% (95% CI 10.2%-27.0%) , 70.6% (95% CI 60.8%-80.4%) , and 73.3% (95% CI 63.9%-82.7%) , respectively. The 3-year CIRs of the M-AML group (including MDS-AML and MDS/MPN-AML) and the tAML group were 20.0% and 16.4%, respectively ( P=0.430) . The 3-year LFSs were 68.3% and 75.4%, respectively ( P=0.176) . The 3-year OS rates were 69.7% and 75.4%, respectively ( P=0.233) . The 3-year CIRs of the groups with and without TP53 mutations were 60.0% and 13.7%, respectively ( P=0.003) ; the 3-year LFSs were 20.0% and 76.5%, respectively ( P=0.002) ; and the 3-year OS rates were 40.0% and 77.6%, respectively ( P=0.002) . According to European LeukmiaNet 2022 (ELN2022) risk stratification, the 3-year CIRs of patients in the low-, intermediate-, and high-risk groups were 8.3%, 17.8%, and 22.6%, respectively ( P=0.639) . The three-year LFSs were 91.7%, 69.5%, and 65.6%, respectively ( P=0.268) . The 3-year OS rates were 91.7%, 71.4%, and 70.1%, respectively ( P=0.314) . Multivariate analysis revealed that advanced disease at allo-HSCT and TP53 mutations were independent risk factors for CIR, LFS, and OS. Conclusion:There was no significant difference in the prognosis of patients who underwent allo-HSCT among the MDS-AML, MDS/MPN-AML, and tAML groups. Advanced disease at transplantation and TP53 mutations were poor prognostic factors. ELN2022 risk stratification had limited value for predicting the prognosis of patients with sAML following allo-HSCT.