Objective: To evaluate oral health status and knowledge, attitude and practice (KAP) among third grade primary school students after the implementation of the Comprehensive Intervention Project for Childhood Oral Diseases in Guizhou Province, so as to provide evidence for program optimization. Methods: Using a multistage cluster sampling method, oral examinations and questionnaire surveys were conducted among third grade primary school students in schools covered by the Comprehensive Intervention Project for Childhood Oral Diseases in Guizhou Province (intervention group, n =1 030) and schools not covered by the program (control group， n =1 130) in November 2023. A follow up survey was conducted one year after the project s implementation (December 2024) to evaluate the differences in oral health status and KAP between the two groups. The t-test and χ 2 test were used to compare means and rates, respectively. Results: One year after implementation, the permanent caries prevalence, caries filling ratio, mean dmft/DMFT, and mean simplified debris index in the intervention group were 33.3%, 22.3 %, 3.44±3.10, 0.77±0.56, which were all better than those in the control group (39.8%, 17.3%, 3.89±2.85, and 0.87± 0.63 ) ( χ 2/ t =9.87, 8.78, -2.59, -3.91,all P <0.05). After intervention, the levels of oral health knowledge, attitude and behaviors in the intervention group were better than those in the control group ( Z =7.69, 2.35, 2.10, all P <0.05). Except for the item "fluoride has no protective effect on teeth", the correct response rates of other oral health knowledge items in the intervention group were higher than those in the control group ( χ 2=3.92-163.94, all P <0.05). The reported rates of tooth brushing related behaviors and sugary beverage consumption were higher in the intervention group than in the control group ( χ 2=4.02-11.42，all P <0.05). Conclusions The Comprehensive Intervention Project for Childhood Oral Diseases improves children s oral health status, oral health knowledge, and some oral health behaviors, but has limited effects on some behaviors and oral health attitudes. Future efforts should focus on the factors influencing the transformation of children s oral health attitudes and behaviors, along with strengthening long term follow up evaluations.

Objective To investigate the the levels of magnesium,lead,iron,zinc,copper,manganese,calci-um in whole blood in children aged 0-12 years in Henan province,understand the health status of children and provide a basis for their nutrition and health management.Methods Data were collected from totally 135 385 children aged 0-12 years who underwent trace element testing at Zhengzhou Kingmed Clinical Labo-ratory Inc.from 2019 to 2023 were selected,and agilent inductively coupled plasma mass spectrometer was used to detect seven elements(magnesium,lead,iron,zinc,copper,manganese,and calcium).The elemental detection method in the laboratory has been strictly methodologically verified,and has participated in the ex-ternal quality assessment organized by National Center for Clinical Laboratories.Grouping was conducted based on gender,age,season,region,and year to compare the deficiencies and lead exceedances of six elements(magnesium,iron,zinc,copper,manganese,calcium)under different conditions.Results In this study,the mean P-values of seven elements in different age groups,gender groups,year groups,and regional groups were all＜0.001.Except for lead with a P-value of 0.002,all other elements in different season groups were＜0.001.The P-values were all less than 0.05,indicating statistically significant differences.Among them,Mag-nesium,iron,and zinc in children's whole blood showed an increasing trend with age,while copper,manga-nese,and calcium showed a decreasing trend with age.The proportions of children aged 0-1 years with iron,zinc,and manganese deficiencies were the highest,at 24.70％,48.20％,and 0.65％,respectively.The highest proportion of copper and calcium deficiency was in the age range of 11-12 years old,accounting for 20.43％and 0.17％respectively.The highest proportion of lead exceeding the standard was 0.87％among children aged 0-1.Except for manganese and calcium levels,the levels of the other five elements were higher in boys than in girls.Magnesium and copper levels were highest in spring,iron,zinc,and calcium levels were highest in winter,and manganese and lead levels were highest in summer.Magnesium deficiency,calcium deficiency,and lead excess were showing a decreasing trend year by year.Among them,the lead levels of children in Sanme-nxia and Jiyuan were relatively high compared to other areas.Conclusion 0-2 years children are mainly char-acterized by calcium and zinc deficiency in Henan province.Attention should be paid to iron and zinc supple-mentation in infants and young children.At the same time,it should also be noted that the deficiency rate of copper increases with age,and attention should be paid to the supplementation of copper in children.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

To investigate the influencing factors of postoperative complications following thoracoscopic lung resection in elderly patients and to provide a scientific basis for developing preoperative prehabilitation strategies for high-risk elderly populations.

The proband was a 32-year-old female patient who sought medical attention for over 9 months of pregnancy, reduced fetal movement, and discomfort in the lower abdomen. The proband and her father had normal activated partial thromboplastin time and prothrombin time, decreased fibrinogen activity and antigen levels, and prolonged thrombin time, whereas the test results of her mother were normal. Ultrasonography showed intermuscular vein thrombosis in the left calf of the proband. Peripheral blood DNA was extracted from the proband and her parents, and Sanger sequencing was performed to detect the base sequences of the FGA, FGB, and FGG genes. The proband and her father had heterozygous missense mutations in exon 6 c.615A > C (p. Leu205Phe) and exon 8 c.1121A > C (p. Tyr374Ser) of the FGG gene. Bioinformatics analysis suggested that the two gene mutations may be the pathogenic mechanism of this congenital hypodysfibrinogenemia family.

Objective:To investigate the value of human epididymal protein 4(HE4)combined with two-dimensional(2D)ultrasound for vagina in diagnosing the pathological classification of ovarian cancer and predicting its prognosis.Methods:The clinical data of a total of 100 patients with ovarian cancer who admitted to Hengshui Maternal and Child Health Care Hospital and Hengshui People's Hospital from April 2018 to July 2023 were retrospectively analyzed,including 98 cases with epithelial ovarian cancer and 2 cases with non-epithelial ovarian cancer.The fasting venous blood pre operation of patients was extracted in morning.The serum HE4 level was detected by enzyme-linked immunosorbent assay(ELISA).The 2D ultrasound examination was performed one week before surgery to measure the resistance index(RI),pulse index(PI),peak systolic flow velocity(PSV)and end-diastolic flow velocity(EDV)of ovarian artery.All patients were followed up immediately after they completed the last chemotherapy.All of patients were divided into a death group(n=27)and a survival group(n=73)according to their survival situation.Cox regression risk model was used to analyze prognostic influence factors of patients with ovarian cancer.Results:The serum HE4 level[449.37(28.57,2 382.24)]pmol/L in patients with epithelial ovarian cancer was significantly higher than that[55.38(17.33,79.64)]pmol/L in patients with non-epithelial ovarian cancer(U=24.752,P＜0.05).The RI,PSV and PI of ultrasonic parameters of patients with epithelial ovarian cancer were higher than those of patients with non-epithelial ovarian cancer(t=3.640,2.152,2.588,P＜0.05),respectively.The area under curve(AUC)of the receiver operating characteristic(ROC)curve of HE4 combined with 2D ultrasound for vagina was 0.936(95%CI:0.821-1.000)in identifying epithelial and non-epithelial ovarian cancer,which was larger than that of alone each examination.The ratio of the age≥60 years old,the ratio of the III-IV staging of Federation International of Gynecology and Obstetrics(FIGO),and the ratio of existing surrounding infiltration in the death group were all higher than those in the survival group,and the serum HE4 level[528.75(34.79,1 932.43)]pmol/L was higher than that[138.23(21.49,872.59)]pmol/L of the survival group,and the difference was significant(U=25.963,P＜0.05).The PSV and EDV values of the death group were all larger than those of the survival group(t=10.844,17.744,P＜0.05),and the RI and PI were all less than those of the survival group(t=19.085,13.099,P＜0.05).FIGO Ⅲ-Ⅳ staging,surrounding infiltration,HE4 level≥398.74 pmol/L,RI＜0.31,PI＜0.54,PSV≥26.12 cm/s,EDV≥16.47 cm/s were all risk factors for the prognosis of patients with ovarian cancer(HR=2.682,2.347,2.296,2.518,2.235,2.124,1.958,P＜0.05).Conclusion:HE4 combined with 2D ultrasound for vagina can improve the diagnostic accuracy of pathological classification for ovarian cancer,and can be used as an important tool to predict the prognosis of patients with ovarian cancer.

Objective:To investigate the value of human epididymal protein 4(HE4)combined with two-dimensional(2D)ultrasound for vagina in diagnosing the pathological classification of ovarian cancer and predicting its prognosis.Methods:The clinical data of a total of 100 patients with ovarian cancer who admitted to Hengshui Maternal and Child Health Care Hospital and Hengshui People's Hospital from April 2018 to July 2023 were retrospectively analyzed,including 98 cases with epithelial ovarian cancer and 2 cases with non-epithelial ovarian cancer.The fasting venous blood pre operation of patients was extracted in morning.The serum HE4 level was detected by enzyme-linked immunosorbent assay(ELISA).The 2D ultrasound examination was performed one week before surgery to measure the resistance index(RI),pulse index(PI),peak systolic flow velocity(PSV)and end-diastolic flow velocity(EDV)of ovarian artery.All patients were followed up immediately after they completed the last chemotherapy.All of patients were divided into a death group(n=27)and a survival group(n=73)according to their survival situation.Cox regression risk model was used to analyze prognostic influence factors of patients with ovarian cancer.Results:The serum HE4 level[449.37(28.57,2 382.24)]pmol/L in patients with epithelial ovarian cancer was significantly higher than that[55.38(17.33,79.64)]pmol/L in patients with non-epithelial ovarian cancer(U=24.752,P＜0.05).The RI,PSV and PI of ultrasonic parameters of patients with epithelial ovarian cancer were higher than those of patients with non-epithelial ovarian cancer(t=3.640,2.152,2.588,P＜0.05),respectively.The area under curve(AUC)of the receiver operating characteristic(ROC)curve of HE4 combined with 2D ultrasound for vagina was 0.936(95%CI:0.821-1.000)in identifying epithelial and non-epithelial ovarian cancer,which was larger than that of alone each examination.The ratio of the age≥60 years old,the ratio of the III-IV staging of Federation International of Gynecology and Obstetrics(FIGO),and the ratio of existing surrounding infiltration in the death group were all higher than those in the survival group,and the serum HE4 level[528.75(34.79,1 932.43)]pmol/L was higher than that[138.23(21.49,872.59)]pmol/L of the survival group,and the difference was significant(U=25.963,P＜0.05).The PSV and EDV values of the death group were all larger than those of the survival group(t=10.844,17.744,P＜0.05),and the RI and PI were all less than those of the survival group(t=19.085,13.099,P＜0.05).FIGO Ⅲ-Ⅳ staging,surrounding infiltration,HE4 level≥398.74 pmol/L,RI＜0.31,PI＜0.54,PSV≥26.12 cm/s,EDV≥16.47 cm/s were all risk factors for the prognosis of patients with ovarian cancer(HR=2.682,2.347,2.296,2.518,2.235,2.124,1.958,P＜0.05).Conclusion:HE4 combined with 2D ultrasound for vagina can improve the diagnostic accuracy of pathological classification for ovarian cancer,and can be used as an important tool to predict the prognosis of patients with ovarian cancer.