Objective To explore the influence of radiation protection knowledge-attitude-practice (RP-KAP) on occupational stress of radiation workers. Methods A total of 314 radiation workers from five hospitals in Shijiazhuang City were selected as the study subjects using the convenient sampling method. The Chinese version of the "Effort-Reward Imbalance (ERI) Questionnaire" and the "Radiation Protection Knowledge, Attitude, and Practice Questionnaire" were used for investigation. Results The detection rate of occupational stress in ERI model among the radiation workers was 74.5% (234/314). The RP-KAP practice dimension score of the population in the occupational stress group was lower than that in the non-occupational stress group (P<0.05). The results of binary logistic regression analysis showed that radiation workers with lower RP-KAP practice dimension score had a higher risk of occupational stress (P<0.01), and the risks of occupational stress among population of interventional radiology group and radiotherapy group were higher than that of X-ray diagnosis group and nuclear medicine group (both P<0.05), after controlling for confounding factors such as gender, age, type of work, professional title, daily working hours, weekly working hours and regular vacation. Conclusion RP-KAP is the influencing factor of occupational stress in the radiation workers. To improve the radiation workers' knowledge of radiation protection, protection awareness and compliance with protective behavior can effectively reduce or even eliminate occupational stress.

Objective: To explore the dynamic association and gender difference among body dissatisfaction, weight bias internalization and eating disorders in junior high school students, so as to provide the reference for the rational implementation of relevant intervention activitites. Methods: From June to December 2023, a cluster sampling method was used to select 698 students from a middle school in Fuzhou for three followup surveys for a period of 6 months (T1:June 2023, T2:September 2023, T3:December 2023). The Eating Disorders Inventory-Body Dissatisfaction (EDI-BD), the Chinese Version of the Weight Bias Internalization Scale for Mainland Chinese Children and Adolescents (C-WBIS), and the Chinese Version of the Eating Disorder Examination Questionnaire (C-EDE-QS) were used for investigation. Analysis of variance, t test, Pearson correlation analysis and crosslagged analysis were used for statistical analysis. Results: T1 there were statistically significant differences in body dissatisfaction scores among junior high school students of different grades and with or without leftbehind experience (t=-3.25, 2.12, P<0.05). There were statistically significant differences in weight bias internalization (t=-3.03, -2.43, 2.43) and eating disorders (t=-4.64, -2.04, 2.63) among junior high school students of different genders, grades and with or without leftbehind experience (P<0.05). Crosslagged analysis showed that body dissatisfaction was a predictor of weight bias internalization (βT1-T2=0.22, βT2-T3=0.12) and eating disorders (βT1-T2=0.09, βT2-T3=0.17, P<0.01). Eating disorders could predict body dissatisfaction (βT1-T2=0.15, βT2-T3=0.13) and weight bias internalization (βT1-T2=0.14, βT2-T3=0.23, P<0.01). The mutual predictive effect of body dissatisfaction, weight bias internalization and eating disorders varied with gender. T2 weight bias internalization in girls had a predictive effect on T3 body dissatisfaction (β=0.11). T1 and T2 eating disorders in girls had a predictive effect on T2 and T3 weight bias internalization (βT1-T2=0.26, βT2-T3=0.21) (P<0.01). Conclusions Body dissatisfaction, weight bias internalization, and eating disorders of the junior high school students are interconnected. And there is a certain twoway correlation and gender difference between body dissatisfaction, weight bias internalization and eating disorders in junior high school students.

Objective To investigate the key elements for model establishment and determine the evaluation indicators of animal models for pelvic inflammatory disease(PID),providing a reference for improving modelling methods and optimizing the application of PID animal models.Methods The search query"Pelvic Inflammatory Disease"AND"Animal Model"OR"Rat"OR"Mouse"OR"Guinea Pig"OR"Rabbit"OR"Dog"OR"Pig"was used to retrieve relevant literature on PID animal models published from 2013 to 2023 in China Knowledge Network Infrastructure(CNKI),Wanfang,and PubMed databases.The studies were analyzed and categorized based on experimental animal types,modelling methods,modelling cycles,detection indicators,positive control drugs,and administration duration.A database was established for statistical analysis.Results A total of 214 research articles on PID animal models meeting the inclusion criteria were identified.The most commonly used model animals are Sprague Dawley(SD)rats,followed by Wistar rats.The most frequently employed modelling method is a combination of mechanical injury and bacterial infection,followed by the phenol mucilage method.The most common modelling cycles for acute pelvic inflammatory disease(APID)and chronic pelvic inflammatory disease(CPID)/sequelae of pelvic inflammatory disease(SPID)are 8 to 14 days,while for PID models without specific staging,the cycles are 7 days.High-frequency detection methods and indicators include histopathological observation using hematoxylin-eosin staining,enzyme-linked immunosorbent assay(ELISA)for serum-related indicators,morphological changes of tissues observed with the naked eye,and immunohistochemical detection of related protein expression in uterine tissues,and pathological scoring.The most frequently used positive control drugs are Fuke Qianjin Tablets,followed by Jingangteng Capsules.The most common administration duration for APID is 7 days,and for CPID/SPID models,it ranges from 15 to 21 days.Conclusion Currently,SD rats and Wistar rats are commonly used as experimental animals for PID models.The dual modelling method of mechanical injury combined with mixed bacterial infection aligns closely with clinical pathogenesis and can be used to establish a PID model that simulates postoperative uterine cavity infection.Depending on the research objectives,different positive drugs and detection indicators should be selected for comprehensive evaluation.Most existing PID animal model studies are based on western medical diagnosis,with fewer studies focusing on Traditional Chinese Medicine(TCM)syndromes.There is a need to integrate TCM theories of etiology and pathogenesis to construct PID animal models that are more in line with TCM clinical symptoms.

Objective:To screen the risk factors for pulmonary embolism in severe burn patients, based on which, a risk prediction model was established and validated.Methods:This study was a retrospective case series study. The clinical data of 267 severe burn patients who met the inclusion criteria and were admitted to the Department of Burns of Wuhan Third Hospital from March 2020 to March 2023 were collected, including 159 males and 108 females, aged 18-82 years. The patients were divided into pulmonary embolism group (26 cases) and non-pulmonary embolism group (241 cases) according to whether they were complicated with pulmonary embolism. The following data of patients in the 2 groups were collected and compared, including gender, age, body mass index, bedtime during treatment, cause of burn, albumin level on admission, combination of chronic obstructive pulmonary disease (COPD), combination of diabetes mellitus, combination of hypertension, combination of inhalation injury, and the abbreviated burn severity index (ABSI) on admission. The indicators with statistically significant differences between the two groups were conducted with univariate and multivariate logistic regression analyses to identify the independent risk factors for pulmonary embolism in 267 severe burn patients. Based on these findings, a nomogram prediction model was established. The performance of the prediction model was evaluated by the receiver operating characteristic (ROC) curve, while its validation was conducted through calibration curve and clinical decision curve analysis.Results:The proportions of beyond 60 years old, bedtime over 7 days during treatment, combination of COPD, and combination of diabetes mellitus (with χ2 values of 7.75, 29.15, 29.86, and 5.94, respectively), and ABSI score on admission ( t=6.01) of patients in pulmonary embolism group were significantly higher than those in non-pulmonary embolism group ( P<0.05). There were no statistically significant differences in the other indicators between the two groups of patients ( P>0.05). The univariate logistic regression analysis showed that age, bedtime during treatment, combination of COPD, combination of diabetes mellitus, and ABSI score on admission were the risk factors for pulmonary embolism in severe burn patients (with odds ratios of 3.40, 14.87, 17.78, 2.80, and 1.88, respectively, 95% confidence intervals of 1.38-8.39, 4.34-50.98, 4.63-68.22, 1.19-6.58, and 1.47-2.41, respectively, P<0.05). The multivariate logistic regression analysis showed that bedtime over 7 days during treatment, combination of COPD, and high ABSI score on admission were the independent risk factors for pulmonary embolism in severe burn patients (with odds ratios of 11.02, 30.82, and 1.86, respectively, 95% confidence intervals of 2.76-43.98, 3.55-267.33, and 1.38-2.50, respectively, P<0.05). Based on the three aforementioned independent risk factors, a nomogram prediction model for the risk of pulmonary embolism in severe burn patients was established. The ROC curve of prediction model showed that the area under the ROC curve was 0.91 (with 95% confidence interval of 0.82-0.99). When the optimal cut-off value of 25% was taken, the sensitivity and specificity of prediction model was 84.6% and 93.4%, respectively. The calibration curve showed that the calibration curve of prediction model was around the ideal curve, with a consistency index of 0.80 in Cox regression (with 95% confidence interval of 0.74-0.87). The clinical decision curve showed that the threshold probability value of the prediction model was in the range of 1% to 98%, with net return rate over 0. Conclusions:The independent risk factors for pulmonary embolism in severe burn patients include bedtime over 7 days during treatment, combination of COPD, and high ABSI score on admission. The nomogram prediction model established based on this has good predictive value for complicated pulmonary embolism in severe burn patients.

Background and purpose:Gastric-type endocervical adenocarcinoma(G-EAC)is a rare variant of endocervical adenocarcinoma,characterized by atypical clinical manifestations and elusive lesions.Due to these factors,G-EAC is prone to being missed or misdiagnosed,significantly impacting the prognosis.Lobular endocervical glandular hyperplasia(LEGH)and atypical LEGH(aLEGH)are considered to be precancerous lesions of G-EAC.These conditions also present overlapping clinical,pathologic and imaging manifestations,making it challenging to differentiate between them preoperatively.The purpose of this study was to investigate the correlation between magnetic resonance imaging(MRI)findings of cystic-solid lesions in the cervix and their underlying pathology in order to enhance the accuracy of distinguishing between LEGH and G-EAC,ultimately aiding in the early diagnosis and appropriate management of these conditions.Methods:Clinical,imaging and pathological data of 37 LEGH and 53 G-EAC patients who attended the Obstetrics and Gynecology Hospital of Fudan University from July 2016 to August 2023 were collected.Analysis was conducted using Pearson Chi-square χ2,Fisher's exact tests and so on.Multivariate analyses were performed using logistic regression.Receiver operating characteristic(ROC)curves were used for performance evaluation.Results:In this study,differences in age,symptoms,extent,size,composition,degree of enhancement,cervical stromal ring,endometrium invasion,pelvic lymph nodes enlargement,and hydrohystera were statistically significant between the two groups(P＜0.05).In the LEGH and aLEGH groups,lesions were primarily localized to the epithelial layer of the endocervical canal.These lesions were predominantly simple cystic(32/37),and the cystic walls often displayed significant enhancement(31/37).In contrast,the G-EAC group presented with lesions involving the myometrium of the uterine cervix(42/53).These lesions were characterized by a solid component in the majority of cases(52/53),a tendency for the disappearance of the cervical stromal ring(46/53).Logistic regression analysis revealed that among the MRI features,lesion composition(OR=50.064)and incomplete cervical stromal ring(OR=40.180)were significant predictors for G-EAC.ROC analysis,incorporating lesion size,composition,enhancement degree,cervical stromal ring,and endometrial involvement,yielded an area under curve(AUC)of 0.970(95%CI:0.931-1.008).Conclusion:Combining multiple MRI features of cystic-solid lesions in the cervix aids in distinguishing between LEGH and G-EAC.

Objective To explore the factors influencing the pregnancy rate after fallopian tube recanalization(FTR),and to construct and validate a nomogram prediction model.Methods The clinical data of a total of 322 female patients with tubal obstructive infertility,who received FTR at the Wuhan Municipal Third Hospital of China between January 2018 and December 2022,were retrospectively analyzed.According to whether the female patient had natural pregnancy or not within 12 months after FTR treatment,the female patients were divided into the pregnant group and the non-pregnant group.Logistic regression analysis was used to determine the independent factors influencing pregnancy.The female patients were randomly divided into training group and validation group at 1∶1 ratio.A nomogram model was constructed in the training group,and the predictive efficacy of the model was verified in the validation group by using receiver operating characteristic(ROC)curves,calibration curves and decision curve analysis(DCA).Results The natural pregnancy rate at one year after FTR was 45.34％(146/322).Age＞35 years,primary infertility,duration of infertility＞3 years,distal fallopian tube obstruction,and moderate to severe tubal lesion were the independent risk factors affecting the pregnancy rate after FTR(all P＜0.05).The constructed nomogram model had a good differentiation and calibration ability and it carried a high degree of clinical utility.Conclusion The nomogram model constructed in this study can effectively predict the risk of infertility within one year after FTR treatment,which is helpful for formulating the individualized therapeutic scheme for infertility female patients.

Objective To explore the risk factors for the prognosis of interventional treatment of multiple pelvic fractures with bleeding.Methods A total of 82 patients with multiple pelvic fractures with bleeding were selected.All patients underwent interventional treatment and were divided into a death group(n=9)and a survival group(n=73)based on their treatment prognosis.The data of the two groups were reviewed and the complications,abbreviated injury scale(AIS),Glasgow prognostic score(GPS),and injury severity score(ISS)between the two groups were compared,and multivariate logistic regression was used to explore the influencing factors of patients prognosis.Results Eighty-two patients with multiple pelvic fractures with bleeding had 9 deaths after interventional treatment,with a mortality rate of 10.98％.The univariate results showed that there were statistical differences in the mortality rate of patients with multiple pelvic fractures with bleeding after interventional treatment,as well as the time to hospital after injury,combined trauma,blood transfusion,and surgical time(P＜0.05).The total incidence of respiratory failure,shock and infection in the death group(44.44％)were higher than those in the survival group(15.07％)(P＜0.05).The AIS,ISS,and acute physiology and chronic health evaluationⅡ(APACHE Ⅱ)in the death group were higher than those in the survival group(P＜0.05);The GPS was lower than that of the survival group(P＜0.05);The multivariate logistic results showed that the time to hospital after injury,combined trauma,blood transfusion,surgical time,complications,AIS,ISS,APACHE Ⅱ and GPS were the influencing factors for the mortality rate of patients with multiple pelvic fractures with bleeding treated with intervention(P＜0.05).Conclusion The proportion of deaths in patients with multiple pelvic fractures with bleeding is often influenced by factors such as complications,time to hospital after injury,combined trauma,AIS,GPS,and ISS.However,early interventional treatment is recommended to improve the patient's treatment prognosis with minimal trauma and good results.

Objective To investigate the clinical features and risk factors for deep vein thrombosis(DVT)of the lower ex-tremities in burn patients.Methods The clinical data of 155 burn patients admitted to Wuhan Third Hospital from January 2021 to January 2023 were retrospectively analyzed.The patients were divided into DVT group and non-DVT group according to whether they had concurrent DVT during hospitalization.Two groups of baseline data were compared[sex,age,body mass in-dex(BMI),coexisting diseases,smoking,drinking,DVT history of the lower limbs,burn cause,burn site,burn degree,central venous catheter retention in the femoral vein,wound infection,low-molecular-weight heparin application,time in bed,and labora-tory indicators[D-dimer(D-d),fibrinogen(FIB),homocysteine(Hey)].The levels of tumor necrosis factor α(TNF-α)and C-reac-tive protein(CRP)differed,and the risk factors for DVT in burn patients were determined via multivariate logistic regression a-nalysis.Finally,this study analyzed the value of BMI,time in bed,D-dimer,fibrinogen,Hcy,TNF-α,and CRP in predicting DVT in burn patients via receiver operating characteristic(ROC)curves.Results There were no significant differences between the two groups in terms of sex,combined disease,smoking or drinking,or cause of burn(all P＞0.05).The following risk factors were found to be significantly greater in the group with deep vein thrombosis(DVT)than in the group without DVT:age 60 years or older,history of lower limb DVT,lower limb burn of degree Ⅱ or above covering 30％or more of the area,femoral vein indentation central venous catheter,wound infection,and lack of low-molecular-weight heparin treatment.Additionally,BMI,D-dimer levels,fibrinogen levels(FIB),homocysteine(Hcy)levels,TNF-α levels,and C-reactive protein(CRP)levels were signifi-cantly higher in the DVT group than in the non-DVT group.The time in bed was significantly longer in the DVT group than in the non-DVT group(P＜0.01).Multivariate logistic regression analysis confirmed that the risk factors for DVT in burn pa-tients included age ≥60 years,history of lower extremity DVT,lower extremity burn,burn degree Ⅱ or above,burn area≥30％,femoral vein indwelling central venous catheter,wound inf ection,lack of low-molecular-weight heparin application,increased BMI,elevated levels of D-dimer,FIB,Hcy,TNF-α,and CRP,and prolonged time in bed.ROC analysis confirmed that BMI,time in bed,D-d,FIB,Hcy,TNF-α and CRP could all be used to predict DVT in burn patients,and the areas under the curve were 0.844,0.853,0.890,0.817,0.892,0.962 and 0.776,respectively,(all P＜0.01).Conclusion Burn patients complicated with DVT are affected by many factors.Moreover,ROC analysis confirmed that BMI,time in bed,D-d,FIB,Hcy,TNF-α and CRP could be indicators for predic-ting DVT,which should be considered in the subsequent clinical treatment of such patients.

Objective:To screen the risk factors for pulmonary embolism in severe burn patients, based on which, a risk prediction model was established and validated.Methods:This study was a retrospective case series study. The clinical data of 267 severe burn patients who met the inclusion criteria and were admitted to the Department of Burns of Wuhan Third Hospital from March 2020 to March 2023 were collected, including 159 males and 108 females, aged 18-82 years. The patients were divided into pulmonary embolism group (26 cases) and non-pulmonary embolism group (241 cases) according to whether they were complicated with pulmonary embolism. The following data of patients in the 2 groups were collected and compared, including gender, age, body mass index, bedtime during treatment, cause of burn, albumin level on admission, combination of chronic obstructive pulmonary disease (COPD), combination of diabetes mellitus, combination of hypertension, combination of inhalation injury, and the abbreviated burn severity index (ABSI) on admission. The indicators with statistically significant differences between the two groups were conducted with univariate and multivariate logistic regression analyses to identify the independent risk factors for pulmonary embolism in 267 severe burn patients. Based on these findings, a nomogram prediction model was established. The performance of the prediction model was evaluated by the receiver operating characteristic (ROC) curve, while its validation was conducted through calibration curve and clinical decision curve analysis.Results:The proportions of beyond 60 years old, bedtime over 7 days during treatment, combination of COPD, and combination of diabetes mellitus (with χ2 values of 7.75, 29.15, 29.86, and 5.94, respectively), and ABSI score on admission ( t=6.01) of patients in pulmonary embolism group were significantly higher than those in non-pulmonary embolism group ( P<0.05). There were no statistically significant differences in the other indicators between the two groups of patients ( P>0.05). The univariate logistic regression analysis showed that age, bedtime during treatment, combination of COPD, combination of diabetes mellitus, and ABSI score on admission were the risk factors for pulmonary embolism in severe burn patients (with odds ratios of 3.40, 14.87, 17.78, 2.80, and 1.88, respectively, 95% confidence intervals of 1.38-8.39, 4.34-50.98, 4.63-68.22, 1.19-6.58, and 1.47-2.41, respectively, P<0.05). The multivariate logistic regression analysis showed that bedtime over 7 days during treatment, combination of COPD, and high ABSI score on admission were the independent risk factors for pulmonary embolism in severe burn patients (with odds ratios of 11.02, 30.82, and 1.86, respectively, 95% confidence intervals of 2.76-43.98, 3.55-267.33, and 1.38-2.50, respectively, P<0.05). Based on the three aforementioned independent risk factors, a nomogram prediction model for the risk of pulmonary embolism in severe burn patients was established. The ROC curve of prediction model showed that the area under the ROC curve was 0.91 (with 95% confidence interval of 0.82-0.99). When the optimal cut-off value of 25% was taken, the sensitivity and specificity of prediction model was 84.6% and 93.4%, respectively. The calibration curve showed that the calibration curve of prediction model was around the ideal curve, with a consistency index of 0.80 in Cox regression (with 95% confidence interval of 0.74-0.87). The clinical decision curve showed that the threshold probability value of the prediction model was in the range of 1% to 98%, with net return rate over 0. Conclusions:The independent risk factors for pulmonary embolism in severe burn patients include bedtime over 7 days during treatment, combination of COPD, and high ABSI score on admission. The nomogram prediction model established based on this has good predictive value for complicated pulmonary embolism in severe burn patients.

ObjectiveTo analysis the modeling characteristics of diminished ovarian reserve (DOR) animal models, and provide the reference for the standardization of DOR animal models.MethodsThe research articles on DOR animal models were retrieved. Microsoft Excel 2010 software was used to summarize the experimental animal species, modeling methods, modeling cycles, high-frequency detection indexes and types of positive drugs documented in the literature, and the data results were evaluated and analyzed by NoteExpress software.ResultsA total of 93 research articles on DOR that met the criteria were enrolled. And it was found that, SD rat was the most frequently used animal type (68 times, 73.12%), followed by C57BL/6 mouse (13 times, 13.98%), while the tripterygium wilfordii treatment was the most frequently used modeling method (38 times, 40.86%), followed by the cyclophosphamide treatment (28 times, 30.11%) for DOR animal models. The high frequency detection indicators were vaginal exfoliation cytology detection (93 times, 23.97%) and HE staining to observe histopathological changes (72 times, 18.56%). Among these 64 research articles containing positive control drugs, the most frequently used western drug was estrogen (50 times,62.50%) and Chinese Traditional medicine was Kuntai capsules (2 times, 2.50%).ConclusionsSD rats are mostly used to induce modeling in animal experiments on DOR through tripterygium wilfordii and cyclophosphamide, which can effectively improve the experimental efficiency. It is recommended to integrate the results of ovarian histopathology and serum biochemical indexes for model assessment.