1.Diagnosis and treatment of 138 hermaphroditism cases
Dazhen PENG ; Gensheng LU ; Kaichang ZHU ; Wenhao SHEN ; Yi ZHI
Journal of Third Military Medical University 2003;0(19):-
Objective To improve the diagnosis and treatment of hermaphroditism.Methods The data of 138 cases of hermaphroditism who were hospitalized in our department between March 2005 and April 2008 were reviewed and and analyzed to summarize our experience in the diagnosis and treatment.Results Among the 138 cases with a age ranging from 2 to 36(mean 17 years old),42 were socially male and 96 were socially female.With the help of medical examination,,laboratory examination,ultrasonic examination,radiological examination and pathologic diagnosis,54 patients were diagnosed as female pseudohermaphroditism,66 as male pseudohermaphroditism,10 patients as true hermaphroditism,2 patients as pure gonadal dysgenesis,2 as testicle degeneration,and the left 4 patients as Klinefelter syndrome.Among the 138 patients,132 patients were received surgery operation,including 76 of them receiving laparoscopy.After operation,121 patients were maintained female sex,11 patients were maintained male sex.Female pseudohermaphroditism were all maintained female sex.Fifty-nine patients of male pseudohermaphroditism were maintained female sex.There were 4 patients being maintained male sex,and 3 patients having not received operation.Of the cases of the true hermaphroditism,8 patients were maintained female sex and 2 patients were maintained male sex.Conclusion Early accurate diagnosis is very important to the treatment of hermaphroditism.Etiologic diagnosis is useful in the course.Although it is good for the hermaphroditism to maintain female sex,the decision of the patients and the family should be considered.
2.Analysis of differences between middle school and high school students help-seeking behaviors and association with non-suicidal self-injury
AO Cheng,HU Wang,ZHOU Fan,HU Dazhen,LONG Xianxian,HUANG Peng
Chinese Journal of School Health 2021;42(4):597-601
Objective:
To understand and compare the differences in help-seeking behavior among junior high school students and senior high school students and their association with non-suicidal self-injury to provide a basis for the prevention and control of non-suicidal self-injury among middle school students.
Methods:
Three middle schools in Nanchang were selected,and the survey were conducted among 4 434 students through the General Situation Questionnaire, the Ottawa Self-injury Judgment Entry, and the Middle School Students Help Seeking Behavior Questionnaire, and SPSS 22.0 was used for statistical analysis.
Results:
The NSSI detection rate among middle school students was 33.3% , and junior high school students detection rate(36.0%) were higher than high school students(29.6%) (χ 2=19.41,P<0.01). Differences in willingness to ask for help, asking for help from family and teachers, and talking face-to-face for help were statistically significant (all P<0.01) among NSSI participants and non-NSSI participants, for both junior high school and high school students. Females (OR=1.45), class cadres (OR=1.26), urban household registration (OR=1.45), frequent scolding by elders (OR=1.98) and a high academic burden (OR=1.39) all possible increased the risk of NSSI in junior high school students, while assistance to family members (OR=0.95) or teachers (OR=0.95) possible reduced the risk of NSSI in junior high school students. Females (OR=1.50), class cadres (OR=1.34), only children (OR=1.45), fathers with college education and above (compared to junior high school and below) (OR=1.56), frequent scolding by elders (OR=2.08), frequent corporal punishment from elders (OR=4.12) and high academic burden (OR=1.38) possibly increased the risk of NSSI among high school students, while willingness to ask for help (OR=0.82), asking for help from family (OR=0.95) and teachers (OR=0.96) possible reduced the risk of NSSI among high school students.
Conclusion
There are some differences in help-seeking behavior between junior and high school students, and school and parents should actively focus on middle school students help-seeking behavior and encourage them to seek help.
3.Fe-Co/ZIF-8@SLC-0111-HA composite nanoplatform enhances feasibility of tumor chemodynamic therapy
Zhenxin WANG ; Peng ZHOU ; Fuchao CHU ; Dazhen ZHANG ; Feng YUAN
Chinese Journal of Tissue Engineering Research 2024;28(29):4612-4619
BACKGROUND:The low catalytic activity and lack of targeting of commonly used metal ions have severely limited the clinical application of chemodynamic therapy in tumor treatment.On the other hand,although the composite nanoplatforms are endowed with tumor-targeting functions by surface functionalization,the lack of tumor microenvironment acidity also severely weakens the efficacy of chemodynamic therapy. OBJECTIVE:To prepare novel composite nanoplatforms and assess their feasibility to enhance the effects of chemodynamic therapy at the cellular level. METHODS:SLC-0111-loaded zeolite imidazole framework-8 doped with divalent iron ions(Fe2+)and divalent cobalt ions(Co2+)(Fe-Co/ZIF-8@SLC-0111)was synthesized by ion-exchange reaction and self-assembly,and loaded with hyaluronic acid(HA)by electrostatic adsorption,followed by obtaining the target nanoparticles Fe-Co/ZIF-8@SLC-0111-HA(abbreviated as FC-S).Meanwhile,nanoparticles Fe-Co/ZIF-8-HA(abbreviated as FC)without SLC-0111 were synthesized by the same method.The nanocomposite platform was tested for particle size,zeta potential,surface morphology,in vitro reactive oxygen species generation,and ability to consume glutathione.Human osteosarcoma cell MG-63 and mouse fibroblast cell L929 were used as experimental subjects.The cytotoxicity of FC-S was detected by CCK-8 assay.Human osteosarcoma cell MG-63 was used as the experimental object to detect the cell internalization of FC-S.In addition to H2O2,the effects of FC-S and FC on intracellular pH,carbonic anhydrase 9 protein expression,cell viability and apoptosis,intracellular reactive oxygen species and glutathione content,and mitochondrial membrane potential were investigated. RESULTS AND CONCLUSION:(1)The FC-S composite nanoplatform was successfully prepared with a well-defined rhombic dodecahedral structure,uniform size and good dispersion.Its particle size was about 323 nm;zeta potential was about-11.1 mV,and the nanoplatform had a certain reactive oxygen species generation capacity in vitro.(2)FC-S nanoplatforms accumulated intracellularly in a time-dependent manner and could successfully escape from lysosomes.When the mass concentration of FC-S was≤20 μg/mL,there was no obvious cytotoxicity to MG-63 cells and L929 cells,and 20 μg/mL FC-S was selected to act on MG-63 cells in subsequent experiments.(3)Compared with FC group,the protein expression of carbonic anhydrase 9 in MG-63 cells in FC-S group was decreased(P<0.01);the intracellular acidic environment was enhanced;the content of reactive oxygen species was increased(P<0.001);the mitochondrial damage was aggravated;the number of dead cells was increased,and the apoptosis rate was increased(P<0.001).(4)The results indicate that FC-S,as a novel composite nanoplatform,can effectively improve the weakly acidic microenvironment in tumor cells and enhance the level of intracellular reactive oxygen species production,thus enhancing the efficacy of chemodynamic therapy.
4.Construction and evaluation of risk prediction model for non suicidal self injury of middle school students
HU Dazhen, WANG Lu, DUAN Wenjing, XIE Yuxiang, YANG Shu, HUANG Peng
Chinese Journal of School Health 2024;45(6):854-858
Objective:
To construct a nonsuicidal selfinjury (NSSI) risk prediction model for middle school students using different machine learning algorithms and evaluate the models effectiveness, so as to provide guidance for the prevention and control of NSSI in campus.
Methods:
In March 2023, a total of 3 372 middle and high school students from schools in Nanchang, Fuzhou and Shangrao cities in Jiangxi Province were selected by combining stratified random cluster sampling and convenient sampling methods. Questionnaire surveys were conducted using various instruments including general information questionnaire, Selfesteem Scale, Ottawa Selfinjury Scale, Social Support Assessment Scale, Chinese Version of the Olweus Bullying Questionnaire, Event Attribution Style Scale, Adolescent Resilience Scale, and Adolescent Life Events Scale. Data were divided into training set (n=2 361) and test set (n=1 011) at a ratio of 7∶3, and variables were selected based on univariate and LASSO regression results. Four machine learning algorithms including namely random forest, support vector machine, Logistic regression and XGBoost, were used to construct NSSI risk prediction models, and the models performance was evaluated and compared using metrics including area under curve (AUC), sensitivity, specificity, positive predictive value, negative predictive value and F1 score.
Results:
The detection rate of NSSI among middle school students was 34.4%. Univariate analysis showed that there were statistically significant differences in NSSI detection rates among middle school students of different grades, genders, registered residence locations, whether they were class cadres and four types of bullying (physical, verbal, relational bullying and cyberbullying) (χ2=27.17, 15.81, 11.54, 4.63;68.22, 140.63, 77.81, 13.95, P<0.05). NSSI was included as the dependent variable in the LASSO regression model for variable screening, and the results regression identified 10 predictive variables including grade level, selfesteem, subjective support, support utilization, verbal bullying, emotional control, interpersonal relationships, punishment, loss of relatives and property, and health and adaptation issues. The AUC values of random forest, support vector machine, Logistic regression, and XGBoost algorithms were 0.76, 0.76, 0.76 and 0.77, respectively, with no statistically significant differences between pairwise comparisons (Z=-0.59-0.82, P>0.05). Sensitivity values were 0.62, 0.61, 0.62 and 0.61, respectively. Specificity values were 0.74, 0.78, 0.78 and 0.78, respectively. Positive predictive values were 0.56, 0.59, 0.60 and 0.59, respectively. Negative predictive values were 0.79, 0.79, 0.80 and 0.79, respectively. F1 scores were 0.59, 0.60, 0.61 and 0.60, respectively.
Conclusions
All four nonsuicidal selfinjury risk prediction models perform well, with the Logistic regression model slightly outperforming the others. Schools and parents should pay attention to the predictive factors corresponding to NSSI, so as to reduce the occurrence of NSSI among middle school students.