Objective: To investigate the status quo and associated factors of drinking water knowledge, attitude and behavior among primary school students in rural areas, so as to provide evidence for health behavioral intervention of drinking water in primary school. Methods: Twentythree primary schools in rural area from Hebei, Henan, Shandong and Shanxi provinces were selected by using purposive sampling method from March 1 to April 27 in 2023. Selfdesigned questionnaires regarding knowledge, attitude and behavior of drinking water were distributed to all students in grade 3-6, and 2 173 valid questionnaires were obtained. Multivariate Logistic regression was used to analyze the influencing factors of drinking water knowledge, attitude and behavior of primary school students. Results: The attainment rates of drinking water knowledge, attitude and behavior level were 20.02%, 26.65%, and 31.20%, respectively, among primary school students. The median of daily water intake was 1 000 mL, and the average daily water intake was (1 172.99±771.89)mL. In addition, 66.31% of students water intake reached the minimum standard of 800 mL recommended. The results of multiple Logistic regression indicated that drinking water accessibility in school, health education of drinking water, and individual selfcontrol ability were positively correlated with the knowledge (OR=1.31, 1.57, 1.58), attitude (OR=2.07, 1.65, 1.73), behavior (OR=1.40, 1.49, 1.91) of drinking water and daily water intake (OR=1.41, 1.38, 1.20) (P<0.05). Conclusions Primary school students in rural areas are generally lack of appropriate health awareness on drinking water including knowledge, attitude and behavior. Schools should take targeted measures to focus on the cultivation of students selfcontrol ability, so as to improve students knowledge and attitudes of drinking water, and furthermore help students shape their healthy behaviors of drinking water.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:By analyzing the cost change trend,internal structure change and main influencing factors of diabetes inpatients'hospitalization expenses,it provides empirical basis for promoting the reform of medical service prices,optimizing the internal structure of hospitalization expenses,effectively controlling hospitalization expenses,and reducing the economic burden of diabetes inpatients.Methods:Using the first page data of medical records of 13 426 diabetes inpatients in the target hospital from 2017 to 2021,it analyzes the structural change of diabetes inpatients'hospitalization expenses by using structural change degree and grey correlation degree methods,and analyzes the influencing factors of hospitalization expenses by using linear regression and BP neural network model.Results:Drug expenses and medical technology expenses are the top two in the proportion of total hospitalization expenses of discharged patients with diabetes,and they account for a large proportion in the total hospitalization expenses.The results of structural change and grey correlation show that drug expenses and medical technology expenses are these two factors that cause changes in the total hospitalization cost structure and have a high correlation with the total hospitalization cost,with a cumulative contribution rate of 90.50％.According to the results of linear regression and neural network model,the length of stay is the most important factor affecting the total cost of hospitalization of diabetes patients,followed by the number of operations/procedures and diagnoses.Conclusion:The internal composition of hospitalization expenses for diabetes patients is unreasonable.The proportion of drug expenses and medical technology expenses is too high.The proportion of medical and nursing expenses reflecting the technical labor value of medical personnel is relatively low.The structure of medical income needs to be further optimized.The length of stay is the most critical factor affecting the hospitalization expenses of diabetes patients.Reasonable control of the length of stay can effectively control the unreasonable growth of medical expenses and reduce the economic burden of diabetes patients.

Objective:To establish a medical equipment maintenance model based on the analytic hierarchy process(AHP),and to study its application effect in the management of orthopedic medical equipment in hospitals.Methods:Based on the analytic hierarchy process(AHP),the equipment maintenance model was constructed from the classification of the service life,failure mode,failure consequences and other indicators of orthopedic medical equipment.25 sets of medical equipment in clinical use in the Department of Orthopedics of The Second Affiliated Hospital of the Air Force Medical University from 2019 to 2022 were randomly selected,taking the time as the dividing point,the traditional orthopedic medical equipment management model(referred to as traditional management)was implemented during the equipment use period from 2019 to 2020,and the equipment maintenance model based on AHP was used to manage orthopedic medical equipment(referred to as model management)during the equipment use period from 2021 to 2022.A total of 1,000 equipment usage records were collected,500 for each mode,and the effect of equipment repair and maintenance,the satisfaction score of equipment usage management and the incidence of adverse events were compared under different management modes.Results:The cost-effectiveness of equipment using the model management mode was an average of CNY(34,500.00±4,700.00)per unit per year,which was higher than that of the traditional management mode,the difference was statistically significant(t=8.417,P<0.05),the maintenance costs and operating costs were CNY(15,381.95±13.67)per year and CNY(31,600.00±10,500.00)per year,respectively,which lower than those of the traditional management model,the difference was statistically significant(t=858.675,5.371,P<0.05).The scores of equipment management personnel on equipment performance,timeliness and cleanliness of the equipment using the model management mode,and the patients'satisfaction with convenience,effect and comfort of the equipment(9.65±1.14),(9.74±1.38),(9.53±1.09),(9.58±1.07),(9.62±1.14)and(9.81±1.28),respectively,which were all higher than those of the traditional management mode,the difference was statistically significant(t=5.629,5.687,4.736,8.085,5.330,7.680,P<0.05).The total incidence of adverse events in equipment using model management mode was 4.8%(24/500),which was lower than that of the traditional management mode,the difference was statistically significant(x2=12.515,P<0.05).Conclusion:The application of medical equipment maintenance model based on analytic hierarchy process to the management of orthopedic medical equipment can effectively reduce the equipment maintenance cost,improve the cost-effectiveness of the equipment,and improve the satisfaction of the equipment use management personnel.

Objective To investigate the predictive value of serum neuron-specific enolase (NSE), prognostic nutritional index (PNI) score, hepatic encephalopathy (HE) grading, and the integrated model for end-stage liver disease (iMELD) score in assessing the short-term (90-day) prognosis of patients with cirrhosis complicated by overt hepatic encephalopathy (HE). Methods A retrospective analysis was conducted on clinical data from 470 patients with cirrhosis and overt HE, and they were divided into survival group (n=359) and mortality group (n=111) based on their survival status 90 days after admission. The PNI and iMELD scores were calculated using patient demographics, blood routine tests, coagulation function, liver and renal function electrolyte levels, and serum NSE levels within 24 hours of admission, along with HE grading. Receiver operating characteristic (ROC) curves, multivariate Logistic regression analysis, and Kaplan-Meier survival curves were employed to evaluate influencing factors of short-term prognosis of patients with cirrhosis and overt HE. Results The mortality group exhibited significantly higher serum NSE levels, HE grades, and iMELD scores, while demonstrated lower PNI score compared to the survival group (P < 0.05). Multivariate Logistic regression analysis identified serum NSE, PNI score, HE grade, and iMELD score as independent predictors of short-term prognosis. The areas under the curve (AUCs) for serum NSE, PNI score, HE grade, and iMELD score in predicting short-term prognosis were 0.727, 0.717, 0.721, and 0.728, respectively, with cut-off values of 12.23 ng/mL, 34.05 ng/mL, and 39.26 points for serum NSE, PNI score, and iMELD score. A combined prediction model of four factors demonstrated the highest predictive performance, with an AUC of 0.919 and a cut-off value of 0.23. Kaplan-Meier survival analysis revealed that patients with combined score of serum NSE, PNI score, HE grade, and iMELD cut-off value < 0.23 had a significantly higher 90-day survival rate compared to those with cut-off value≥0.23 (Log-Rank=265.567, P < 0.001). Conclusion Serum NSE, PNI score, HE grade, and iMELD score exhibit good value in predicting the short-term prognosis of patients with cirrhosis and overt HE, with an even higher predictive value when used in combination.

Background Experimental studies have shown that radiofrequency electromagnetic waves emitted by mobile phones can cause adverse effects on male reproductive health, including decreased semen quality and altered sex hormones. However, the results of epidemiological studies on the relationship between mobile phone use and male semen quality are inconsistent. Furthermore, there are few epidemiological studies on the association of mobile phone use with sex hormones. Objective To explore the associations of mobile phone use with male semen quality and sex hormones. Methods A total of 2045 men visited the reproductive medicine center of a hospital in Wuhan and ordered infertility examination were recruited from December 2018 to January 2020. Information on mobile phone use was obtained using a questionnaire. Among them, 1232 and 1694 men were eligible for semen quality analyses and sex hormone analyses, respectively. Multiple linear and logistic regression models were used to analyze the associations of mobile phone use with male semen quality and sex hormones. Results After adjusting for potential confounders, there was no statistically significant associations of mobile phone use with sperm progressive motility, sperm total motility, sperm concentration, sperm count, or serum luteinizing hormone (P>0.05). However, serum total testosterone showed a declined tendency with increasing daily duration of mobile phone use (P_trend=0.08). Compared with men with daily mobile phone use of 0-2 h, men with daily mobile phone use of 2.1-5, 5.1-8, and >8 h showed decreased serum total testosterone concentrations by 6.29% (95%CI: 0.40%-11.84%), 6.01% (95%CI: 0.60%-12.19%), and 7.87% (95%CI: 0.40%-14.79%), respectively. Conclusion Mobile phone use is not associated with male semen quality and serum luteinizing hormone, but increasing daily duration of mobile phone use is potentially associated with a tendency to lower male serum total testosterone.

Natural products are essential sources of antitumor drugs. One such molecule, β-elemene, is a potent antitumor compound extracted from Curcuma wenyujin. In the present investigation, a series of novel 13,14-disubstituted nitric oxide (NO)-donor β-elemene derivatives were designed, with β-elemene as the foundational compound, and subsequently synthesized to evaluate their therapeutic potential against leukemia. Notably, the derivative labeled as compound 13d demonstrated a potent anti-proliferative activity against the K562 cell line, with a high NO release. In vivo studies indicated that compound 13d could effectively inhibit tumor growth, exhibiting no discernible toxic manifestations. Specifically, a significant tumor growth inhibition rate of 62.9% was observed in the K562 xenograft tumor mouse model. The accumulated data propound the potential therapeutic application of compound 13d in the management of leukemia.
Humans ; Mice ; Animals ; Cell Line, Tumor ; Nitric Oxide Donors/pharmacology* ; Sesquiterpenes/pharmacology* ; Leukemia/drug therapy* ; Biological Assay ; Cell Proliferation

Objective:To investigate the early and middle term clinical efficacies of 3D-printed metal prostheses in the reconstruction of bone defects after osteotomy in malignant bone tumors.Methods:A total of 34 patients with malignant bone tumors of lower extremity femur and tibia who underwent 3D printing individualized metal prosthesis replacement surgery in the Department of Bone and Soft Tissue of Affiliated Cancer Hospital of Zhengzhou University from March 2019 to March 2022 were retrospectively analyzed. There were 23 males and 11 females, with an average age of 19.1±15.2 years (range, 7-80 years). There were 22 children and adolescents younger than 18 years old. There were 3 cases in the proximal femur, 15 cases in the middle and distal femur, 10 cases in the proximal tibia and 6 cases in the distal tibia. According to the final pathological diagnosis, 24 cases of osteosarcoma, 6 cases of Ewing's sarcoma, 2 cases of undifferentiated sarcoma, 1 case of osteosarcoma, and 1 case of malignant giant cell tumor of bone were enrolled in this study. Postoperative complications, wound healing, periprosthetic fracture and aseptic loosening, tumor outcome (evaluated by tumor control evaluation criteria), and length difference of lower limbs were recorded. Response evaluation criteria in solid tumor (RECIST) was used to evaluate tumor outcomes. Prosthetic-bone interface healing was evaluated postoperatively, and the function was evaluated based on Musculoskeletal Oncology Society (MSTS) 93.Results:The length of lesions was 70-240 mm in 34 patients, with an average of 125.5±35.4 mm. The length of osteotomy was 80-275 mm, with an average of 160.2±33.9 mm. No tumor was found on the osteotomy surface. The customized prosthesis was firmly installed and closely matched with the side of the preserved articular surface. There were 2 patients with local incision fat liquefaction and 4 patients with superficial wound infection, which healed after debridement and antibiotic treatment. One distal tibia osteosarcoma case developed severe periprosthetic infection 2 months after surgery, resulting in prosthesis implantation failure, limb movement pain and poor ankle function. After removal of the prosthesis, infection control and osteogenesis with the Ilizarov technique, the infection was completely controlled and local osteogenesis was possible. The remaining 33 patients had a good prosthetic-bone interface union. One case was found to have localized bone resorption on the contact surface of the prosthesis 7 months after operation, but the metal prosthesis and screws were not loose. The incisions healed well in other patients, without infection, prosthesis loosening, fracture or other complications. All patients survived and were followed up for 13.8±5.6 months (range, 7-27 months). During the follow-up, there was no recurrence of tumor at the osteotomy end in all patients, but 5 patients developed lung metastasis. At the end of the last follow-up, all patients survived. Among them, 16 patients had unequal length of lower limbs, including 10 cases within 2 cm, 3 cases between 2-5 cm, and 3 cases over 5 cm. With the exception of one patient whose prosthesis was removed due to infection, the MSTS 93 of the other patients was 24.9±2.2 (range, 19-28), and were rated as excellent in 26 cases and good in 7 cases. According to the RECIST evaluation criteria, 26 of 34 patients had complete response, 5 had disease progression, and 3 had stable disease.Conclusion:3D printed metal prosthesis is one of the effective methods for the treatment of bone defects after resection of malignant bone tumors in lower limbs, which is safe, reliable and has satisfactory early curative effect.

For wild natural medicine, unanticipated biodiversity as species or varieties with similar morphological characteristics and sympatric distribution may co-exist in a single batch of medical materials, which affects the efficacy and safety of clinical medication. DNA barcoding as an effective species identification tool is limited by its low sample throughput nature. In this study, combining DNA mini-barcode, DNA metabarcoding and species delimitation method, a novel biological sources consistency evaluation strategy was proposed, and high level of interspecific and intraspecific variations were observed and validated among 5376 Amynthas samples from 19 sampling points regarded as "Guang Dilong" and 25 batches of proprietary Chinese medicines. Besides Amynthas aspergillum as the authentic source, 8 other Molecular Operational Taxonomic Units (MOTUs) were elucidated. Significantly, even the subgroups within A. aspergillum revealed here differ significantly on chemical compositions and biological activity. Fortunately, this biodiversity could be controlled when the collection was limited to designated areas, as proved by 2796 "decoction pieces" samples. This batch biological identification method should be introduced as a novel concept regarding natural medicine quality control, and to offer guidelines for in-situ conservation and breeding bases construction of wild natural medicine.

Objective:To investigate the prevalence of influenza, pneumococcal, hepatitis B virus (HBV), human papillomavirus (HPV), and varicella zoster virus (VZV) vaccination in patients with systemic lupus erythematosus (SLE), and to analyze the factors related to vaccination.Methods:Data were obtained from 1 203 patients with SLE, via a multi-center web-based survey using an online questionnaire. Data about their social conditions, clinical presentations, willingness for being vaccinated, vaccination within 5 years were collected. Demographic data were shown by descriptive analysis. Chi-square and logistic regression analysis were used to assess the power of related indexes as predictors of vaccination.Results:The vaccination rates of influenza, pneumococcal, HBV, HPV, and VZV were 5.49% (66/1 203), 0.66% (8/1 203), 2.08% (25/1 203), 3.82% (46/1 203), and 0.17% (2/1 203), respectively. Data analysis showed that higher education ( χ2=30.94, P<0.001) and higher income ( χ2=10.70, P=0.001) had greater effects on influenza vaccination. There was a relationship between HPV vaccination and higher education ( χ2=20.96, P<0.001), higher income ( χ2=20.56, P<0.001), younger age ( χ2=8.54, P=0.001), and single ( χ2=5.63, P=0.018). Male ( χ2=10.27, P=0.001) and higher education ( χ2=4.52, P=0.034) were associated with HBV vaccination. The multivariate logistic regression analysis revealed that higher education [ OR (95% CI)=2.14 (1.10, 4.18), P=0.026], having children under 18 years-old [ OR(95% CI)=1.802(1.02, 3.18), P=0.042], and hydroxychloroquine usage [ OR(95% CI)=2.55(1.06, 6.15), P=0.037], had a positive correlation with influenza vaccination. Male [ OR(95% CI)=4.24(1.37, 13.08), P=0.012], had an impact on HBV vaccination. The factors related to HPV vaccination included age <45 [ OR (95% CI)=0.93(0.89, 0.97), P=0.001], higher education [ OR(95% CI)=2.28(1.11, 4.65), P=0.024], higher income [ OR(95% CI)=2.68(1.32, 3.41), P=0.006] and the usage of immunosuppressive agents [ OR(95% CI)=1.92(1.03, 3.59), P=0.041]. Conclusion:The prevalence of vaccination in patients with SLE is low. Patients with higher education and income are more likely to being vaccinated.