To describe the incidence and mortality of adult head and neck cancer (HNC) in different regions worldwide and their temporal trends.

Objective To investigate the prevalence of scoliosis and congenital heart disease(CHD)and their correlation among children and adolescents of Drung nationality in Yunnan Province.Methods A cross-sectional survey was conducted in November 2022 among all Drung school-aged children and adolescents aged 5-18 years in Gongshan Drung and Nu Autonomous County,Yunnan Province.Visual inspection,Adams for-ward flexion test,and trunk rotation angle(ATR)measurement were comprehensively used for school prelim-inary screening of scoliosis.Individuals who tested positive in the school preliminary screening underwent fur-ther X-ray examination for auxiliary diagnosis.Cardiac auscultation and echocardiography were used for school preliminary screening of CHD.The personal information of the screening subjects,the screening results,etc.were recorded.The prevalence of scoliosis and CHD among children and adolescents of the Drung nationality and the relationship between the two diseases were statistically analyzed,and the positive predictive value of school-based scoliosis screening and its influencing factors were also analyzed.Results A total of 1 036 chil-dren and adolescents of Drung nationality were enrolled,with a mean age of(10.72±3.75)years,icluding 542 males and 494 females.A total of 45 subjects tested positive for scoliosis in the school preliminary screening,with a preliminary positive rate of 4.34%.A total of 22 cases were finally diagnosed with scoliosis,with a prevalence rate of 2.12%.Among them,21 cases were idiopathic scoliosis(accounting for 95.45%),and 1 case was congenital scoliosis(accounting for 4.55%).The prevalence rate was higher in females(2.83%)than that in males(1.48%),higher in the 10 to 18-year-old group(2.30%)than that in the 5 to<10-year-old group(1.87%),and higher in the secondary school group(2.78%)than that in the primary school group(1.78%),hut there were no statistically significant differences(P>0.05).Most idiopathic scoliosis cases were mild(Cobb angle 10° to<20°,90.48%)and classified as Lenke type Ⅴ(57.14%).Two cases of CHD were confirmed,both of which were atrial septal defects,with a prevalence rate of 0.19%.The co-occurrence rate of idiopathic scoliosis and CHD was 4.76%(1/21).The positive predictive value of school-based scoliosis pre-liminary screening was only 48.89%.When the BMI was<18.5 kg/m2,the positive predictive value was sig-nificantly higher than that for BMI≥18.5 kg/m2(P<0.05).Conclusion The prevalence rate of scoliosis a-mong adolescents of the Drung ethnic group in Yunnan Province is 2.12%,predominantly idiopathic scoliosis,with Lenke type V being the most common classification.The prevalence rate of congenital heart disease is 0.19%.BMI is a significant influencing factor for the positive predictive value of school-based scoliosis prelimi-nary screening.

Objective To explore the relationship between pathogenic microorganism types,age and season in 2 188 children with respiratory tract infections.Methods A total of 2 188 children with respiratory tract in-fections admitted to the Department of Pediatrics,962 Hospital,Joint Logistic Support Force of PLA from June 2023 to May 2024 were selected as the study subjects.Targeted next generation sequencing(tNGS)tech-nology was used to detect 107 common pathogenic microorganism in children with respiratory tract infections,including Haemophilus influenzae,rhinovirus,Moraxella catarrhalis,Mycoplasma pneumoniae,Staphylococcus aureus,Streptococcus pneumoniae,human parainfluenza virus,human respiratory syncytial virus,etc.The re-spiratory tract infection situation and epidemiological characteristics of children in Harbin were analyzed.Re-sults Among 2 188 pediatric patients,98.5%(2 156/2 188)tested positive for pathogenic microorganism,with Haemophilus influenzae accounting for the highest proportion of 33.5%(732/2 188),followed by rhino-virus of 25.0%(547/2 188)and Moraxella catarrhalis of 24.8%(543/2 188).The positive rates of Hae-mophilus influenzae and human adenovirus in male children were higher than those in female children(P<0.05),while there were no statistically significant differences in the positive positive rates of other pathogenic microorganism between male and female children(P>0.05).Except for human adenovirus and influenza A virus,which showed no statistically significant differences in positive rates among different age groups(P>0.05),there were statistically significant differences in the positive rates of other pathogenic microorganism a-mong different age groups(P<0.05).The positive rates of pathogenic microorganism in preschool children were relatively high.There were no statistically significant differences in the positive rates of Streptococcus and Staphylococcus aureus in different seasons(P>0.05),while there were statistically significant differences in the positive rates of other pathogenic microorganism in different seasons(P<0.05).The positive rates of Haemophilus influenzae,Streptococcus pneumoniae,human metapneumovirus,human parainfluenza virus and SARS-Cov-2 were the highest in summer(P<0.05).Conclusion 2 188 children with respiratory tract infec-tions were mainly caused by pathogenic microorganism such as Haemophilus influenzae,rhinovirus,and Moraxella catarrhalis,etc.Preschool children is a susceptible group,and the prevalence of pathogenic microor-ganism varies seasonally.In clinical practice,relevant prevention and control measures should be developed based on this characteristic to reduce the incidence of diseases.

Objective To explore the cost-benefit of computerized tomography perfusion imaging(CTP)in guiding endovascular treatment of patients with large vessel occlusion associated with delayed time window.Methods A total of 365 patients with great vascular occlusive stroke associated with delayed time window(6-24 h),who were admitted to the Tangshan Municipal Workers' Hospital of China to receive endovascular treatment from January 2016 to February 2022,were enrolled in this study.Based on whether the patient received CTP imaging guidance or not,the treatment cost and benefit of different treatment strategies were analyzed.Modified Rankin scale(mRS)was used to evaluate the patient's postoperative 3-month and 12-month neurological functions.The decision tree-Markov model was used to make cost-benefit analysis.Probability sensitivity analysis(PSA)was used to assess the influence of parameter uncertainty.Results The operation cost of CTP-guided endovascular treatment of large vessel occlusion was 1 526.87 Chinese yuan.According to the calculation method of disease and sequelae burden,it could bring direct burden of 1 089.23 Chinese yuan,direct+indirect burden of 3 204.85 Chinese yuan and direct+indirect+intangible burden of 5 083.07 Chinese yuan.Each Chinese yuan could get 0.178 8,0.231 8 and 0.263 4 earnings,respectively.The therapeutic cost of CTP-guided endovascular treatment of great vascular occlusive stroke was 26 689.13 Chinese yuan,producing 2.065 quality-adjusted life-year(QALY)for each patient,while the therapeutic cost and QALY of non-CTP-guided endovascular treatment were 33 299.07 Chinese yuan and 1.776 QALY respectively.PAS-analyzed incremental cost-benefit ratio(ICER)and incremental net monetary benefit(iNMB)were 22 592.82 and 7 846.43 respectively.At the cost-benefit threshold of ￥50 000/QALY,the probability that CTP guidance could get cost-benefit was up to 90.0％.The tornado chart analysis of one-way sensitivity analysis revealed that the initial mRS distribution guided by CTP had the greatest influence on iNMB,followed by the cost input in the first three months after operation.Conclusion For patients with great vascular occlusive stroke associated with delayed time window,CTP-guided endovascular treatment has high cost-benefit and effect value.

Objective:To construct a risk prediction model for the inter-hospital transfer of critically ill children using machine learning methods, identify key medical features affecting transfer outcomes, and improve the success rate of transfers.Methods:A prospective study was conducted on critically ill children admitted to the pediatric transfer center of Hunan Children's Hospital from January 2020 to January 2021. Medical data on critical care features and relevant data from the Pediatric Risk of Mortality (PRISMⅢ) scoring system were collected and processed. Three machine learning models, including logistic regression, decision tree, and Relief algorithm, were used to construct the risk prediction model. A back propagation neural network was employed to build a referral outcome prediction model to verify and analyze the selected medical features from the risk prediction model, exploring the key medical features influencing inter-hospital transfer risk.Results:Among the 549 transferred children included in the study, 222 were neonates (40.44%) and 327 were non-neonates (59.56%). There were 50 children in-hospital deaths, resulting in a mortality rate of 9.11%. After processing 151 critical care medical feature data points, each model selected the top 15 important features influencing transfer outcomes, with a total of 34 selected features. The decision tree model had an overlap of 72.7% with PRISMⅢ indicators, higher than logistic regression (36.4%) and Relief algorithm (27.3%). The training prediction accuracy of the decision tree model was 0.94, higher than the accuracy of 0.90 when including all features, indicating its clinical utility. Among the top 15 important features selected by the decision tree model, the impact on transfer outcomes was ranked as follows based on quantitative feature violin plots: base excess, total bilirubin, ionized calcium, total time, arterial oxygen pressure, blood parameters (including white blood cells, platelets, prothrombin time/activated partial thromboplastin time), carbon dioxide pressure, blood glucose, systolic blood pressure, heart rate, organ failure, lactate, capillary refill time, temperature, and cyanosis. Eight of these important features overlapped with PRISMⅢ indicators, including systolic blood pressure, heart rate, temperature, pupillary reflex, consciousness, acidosis, arterial oxygen pressure, carbon dioxide pressure, blood parameters, and blood glucose. The decision tree was used to select the top 15 medical features with high impact on the neonatal and non-neonatal datasets, respectively. A total of 19 features were selected, among which there were 8 differences and 11 overlap terms between the important features of the neonatal and non-neonatal.Conclusions:Machine learning models could serve as reliable tools for predicting the risk of inter-hospital transfer of critically ill children. The decision tree model exhibits superior performance and helps identify key medical features affecting inter-hospital transfer risk, thereby improving the success rate of inter-hospital transfers for critically ill children.

The structures and activities of enzymes are influenced by pH of the environment. Understanding and distinguishing the adaptation mechanisms of enzymes to extreme pH values is of great significance for elucidating the molecular mechanisms and promoting the industrial applications of enzymes. In this study, the ESM-2 protein language model was used to encode the secreted microbial proteins with the optimal performance above pH 9 and below pH 5, which yielded 47 725 high-pH protein sequences and 66 079 low-pH protein sequences, respectively. A deep learning model was constructed to identify protein acid-base tolerance based on amino acid sequences. The model showcased significantly higher accuracy than other methods, with the overall accuracy of 94.8%, precision of 91.8%, and a recall rate of 93.4% on the test set. Furthermore, we built a website (https://enzymepred.biodesign.ac.cn), which enabled users to predict the acid-base tolerance by submitting the protein sequences of enzymes. This study has accelerated the application of enzymes in various fields, including biotechnology, pharmaceuticals, and chemicals. It provides a powerful tool for the rapid screening and optimization of industrial enzymes.
Deep Learning ; Hydrogen-Ion Concentration ; Amino Acid Sequence ; Enzymes/metabolism* ; Sequence Analysis, Protein ; Proteins/metabolism* ; Bacterial Proteins/metabolism*

Objective:To explore the clinical value of serum insulin combined with cardiac-related markers in evaluating the severity of sepsis associated encephalopathy (SAE).Methods:The clinical data of 130 children with sepsis who admitted to the Pediatric Intensive Care Unit of Hunan Children's Hospital from January 2018 to December 2021 were analyzed retrospectively, and the differences of serum insulin and cardiac-related markers in children with sepsis and SAE were compared.Results:The levels of serum insulin, creatine kinase isoenzyme, hypersensitive troponin T, and N-terminal cerebral urine peptide in the SAE group were significantly higher than those in the non-SAE group ( P<0.05), but there was no significant difference in heart rate and lactic acid ( P>0.05). The levels of serum insulin, creatine kinase isoenzyme, hypersensitive troponin T, N-terminal cerebral urine peptide and lactic acid in the death group were significantly higher than those in the survival group ( P<0.05), while the heart rate was not significantly different ( P>0.05). The area under ROC curve of serum insulin, creatine kinase isoenzyme, hypersensitive troponin T, and N-terminal cerebral urine peptide in predicting SAE were 0.841, 0.599, 0.700, and 0.667, respectively; in terms of judging the prognosis of sepsis, the area under ROC curve were 0.647, 0.669, 0.645, and 0.683, respectively; and in terms of judging the prognosis of children with SAE, the areas under the ROC curve were 0.509, 0.682, 0.666 and 0.555, respectively. Binary logistic regression equation was established with serum insulin, creatine kinase isoenzyme, hypersensitive troponin T, and N-terminal cerebral urine peptide: Y=8.153×NT-proBNP+1.704×CTnT-hs+27.121×insulin+0.946×CK-MB+1.573. The area under the ROC curve of the new variable Y in predicting sepsis SAE, evaluating the prognosis of sepsis, and predicting the prognosis of children with sepsis and SAE was 0.890, 0.756, and 0.729, respectively. Conclusions:Serum insulin, creatine kinase isoenzyme, hypersensitive troponin T, and N-terminal cerebral urine peptide can be used alone to determine the severity of sepsis and sepsis in children with SAE. The combined value of the four indicators is obviously better than that of the single indicator. The combined application of the four indicators may better evaluate the severity of sepsis and SAE.

Objective:To develop a questionnaire on knowledge, attitude and practice of Helicobacter pylori (Hp) infection among physical examination population, and to verify its reliability and validity.Methods:This study was a cross-sectional survey. Based on the theory of knowledge, attitude and practice, the first draft of the questionnaire on knowledge, attitude and practice of Hp infection in physical examination population was designed by means of retrospective literature research, qualitative interview, discussion in the research group. The structure and items of the questionnaire were consulted and revised by the expert consultation method (Delphi method). Through pre investigation of 186 physical examination personnel from May to June in 2021, the final version of the "knowledge, attitude and practice questionnaire on Helicobacter pylori infection among physical examination population" was formed after adjustment and verification of the reliability and validity of the questionnaire.Results:The questionnaire of knowledge, attitude and practice of Hp infection in physical examination population included 3 dimensions and 28 items, and the cumulative variance contribution rate was 56.271%. The content validity index of each item level of the questionnaire was 0.75-1.00, and the content validity index of the total questionnaire was 0.94. The Cronbach alpha of knowledge, attitude and practice dimensions in this questionnaire were 0.862, 0.901 and 0.798 respectively. The overall Cronbach alpha of the questionnaire was 0.890, and the half reliability was 0.698. The test-retest reliability of the questionnaire was 0.919, and the test-retest reliability of each dimension was 0.924, 0.917 and 0.845.Conclusions:The questionnaire has good reliability and validity, and can be used to measure the level of knowledge, attitude and practice of Hp infection in physical examination population.

Objective: To compare and investigate the physicochemical characteristics and antibacterial effect of ZnO nanofilms prepared by atomic layer deposition(ALD) at different deposition cycles. Methods: According to different ALD cycles, four groups were set up (control group, 300, 600 and 1 200 cycles group). Using DEZn and water as precursors, ZnO nanofilms were prepared by ALD on the surface of pure titanium specimens. Surface morphology of the films was observed by scanning electron microscope (SEM); the element composition and crystal type of the films were observed by energy dispersive spectrometer (EDS) and X-Ray Diffraction (XRD); the hydrophilicity and thickness of the films were detected by water contact angle detector and ellipsometer. The cytotoxicity of the films was evaluated by CCK-8 assay. The antibacterial effect against S. aureus in vitro of the films was evaluated by optical density method. Results: The surface morphology of the films was uniform and compact as shown through SEM. The grain size increased with the increase of the number of ALD cycles. EDS results showed that the films were mainly composed of Zn and O elements. XRD results confirmed that the composition of the films was ZnO. Results of water contact angle showed that the films were hydrophobic. The thickness of the films was nanoscale and there was a linear relationship between the thickness and ALD cycles. All experimental groups showed no cytotoxicity. The 1 200 cycles group showed the highest antibacterial rate of 65.9% and 52.3% at 24 and 48 hours respectively, which was the best among all experimental groups. Conclusion The ZnO nanofilms prepared by ALD at different cycles on pure titanium surface are uniform and compact. Thickness of the films increases with the increase of ALD cycles. The films have good biocompatibility and anti-S. aureus effect in vitro. The 1 200 cycles group has the best antibacterial effect.

Objective:To assess the clinical efficacy of low-level laser therapy(LLLT)for the treatment of burning mouth syndrome(BMS)in elderly patients.Methods:As a randomized controlled study, 60 elderly BMS patients treated in the department of stomatology of Beijing Hospital from September 2018 to August 2021 were randomly divided into a laser group and a control group, including 7 man and 53 women, with an average age of(68.27±6.38)years.Patients in the laser group were treated with LLLT, and patients in the control group were treated with non-energy red light and oryzanol.The visual analogue scale and self-rating anxiety and depression scale were used to evaluate the two groups of patients.Results:After LLLT, the effectiveness rate of the laser group was 86.67%(26/30)on the 28th and 90th day, which was significantly higher than 63.33%(19/30)of the control group( χ2=4.356, P=0.037). When data for pre-treatment, the 28th day after treatment and the 90th day after treatment for the laser group were compared, results showed that after LLLT, pain symptoms of BMS patients were relieved and it lasted for some time, and anxiety and depression also improved, but there were episodes of relapse as time went on.Visual analogue scale and self-rating anxiety scores and depression scale scores of BMS patients for pre-treatment, the 28th and 90th days after treatment in the two groups were compared.Only self-rating anxiety scale scores of the laser group was lower than those of the control group on the 28th day, with statistical significance( t=2.622, P=0.011), indicating that LLLT could alleviate anxiety for BMS patients in the short term, but had no significant effect on patient depression.However, in the long term, LLLT had no significant effect on relieving anxiety and depression. Conclusions:LLLT has a certain effect on improving pain symptoms and anxiety in elderly BMS patients.