ObjectiveTo explore the construction of a machine learning model for the diagnosis of traditional Chinese medicine （TCM） syndromes in chronic cough and the optimization of this model using the Voting ensemble algorithm. MethodsA retrospective analysis was conducted using clinical data from 921 patients with chronic cough treated at the Respiratory Department of Dongfang Hospital， Beijing University of Chinese Medicine. After standardized processing， 84 clinical features were extracted to determine TCM syndrome types. A specialized dataset for TCM syndrome diagnosis in chronic cough was formed by selecting syndrome types with more than 50 cases. The synthetic minority over-sampling technique （SMOTE） was employed to balance the dataset. Four base models， logistic regression （LR）， decision tree （dt）， multilayer perceptron （MLP）， and Bagging， were constructed and integrated using a hard voting strategy to form a Voting ensemble model. Model performance was evaluated using accuracy， recall， precision， F1-score， receiver operating characteristic （ROC） curve， area under the curve （AUC）， and confusion matrix. ResultsAmong the 921 cases， six syndrome types had over 50 cases each， phlegm-heat obstructing the lung （294 cases）， wind pathogen latent in the lung （103 cases）， cold-phlegm obstructing the lung （102 cases）， damp-heat stagnating in the lung （64 cases）， lung yang deficiency （54 cases）， and phlegm-damp obstructing the lung （53 cases）， yielding a total of 670 cases in the specialized dataset. High-frequency symptoms among these patients included cough， expectoration， odor-induced cough， throat itchiness， itch-induced cough， and cough triggered by cold wind. Among the four base models， the MLP model showed the best diagnostic performance （test accuracy： 0.9104； AUC： 0.9828）. Compared with the base models， the Voting ensemble model achieved superior performance with an accuracy of 0.9289 on the training set and 0.9253 on the test set， showing a minimal overfitting gap of 0.0036. It also achieved the highest AUC （0.9836） in the test set， outperforming all base models. The model exhi-bited especially strong diagnostic performance for damp-heat stagnating in the lung （AUC： 0.9984） and wind pathogen latent in the lung （AUC： 0.9970）. ConclusionThe Voting ensemble algorithm effectively integrates the strengths of multiple machine learning models， resulting in an optimized diagnostic model for TCM syndromes in chronic cough with high accuracy and enhanced generalization ability.

ObjectiveTo investigate the infection characteristics of respiratory syncytial virus (RSV) in children with acute respiratory tract infection (ARI) in Pudong New Area, Shanghai, from 2013 to 2023, so as to provide an evidence for the prevention and control of RSV in Shanghai. MethodsChildren who sought medical care at sentinel healthcare facilities in Pudong New Area, Shanghai, between January 2013 and December 2023 and met the case definition of ARI were included in the study. Nasopharyngeal swab samples were collected and tested for viral pathogens using real-time fluorescene PCR, and the clinical information of whom was collected simultaneously. ResultsA total of 4 980 children were included in the ARI surveillance, among whom 231 tested positive for RSV, with an overall detection rate of 4.64%. Of these, 106 cases were type A and 125 were type B. From 2013 to 2023, the detection rate of RSV in children showed an overall trend of initial increase followed by a decline, with higher detection rates in autumn and winter and lower rates in spring and summer. The RSV detection rate gradually decreased with age, with the highest rate observed in children <1 year old, accounting for 16.33% (80/490) of RSV-detection cases. Cough was the most common clinical symptom. Among the RSV-positive cases, 36 involved co-infection with another virus, 6 co-infected with three viruses, and 1 with mixed infection of four viruses. The most frequent co-infection was RSV and human coronavirus. ConclusionChildren under 1 year of age are more susceptible to RSV infection, with cough being the predominant symptom. RSV infection in Pudong New Area, Shanghai, mainly occurs in winter. Targeted prevention and control measures should be taken for children under 1 year old during the winter season to reduce the risk of both RSV infection and co-infection with human coronavirus and influenza virus.

OBJECTIVE: To observe the clinical efficacy of warming acupuncture combined with western medication for oligoasthenoteratozoospermia of kidney-yang insufficiency and its effects on the levels of interleukin (IL)-6 and IL-10 in seminal plasma. METHODS: A total of 60 patients with oligoasthenoteratozoospermia of kidney-yang insufficiency were randomly divided into a combination group and a medication group, with 30 cases in each group. The medication group was treated with levocarnitine oral solution orally, 10 mL once, 3 times a day. On the basis of the treatment in the medication group, warming acupuncture was applied at Baihui (GV20), Guanyuan (CV4) and Mingmen (GV4) in the combination group, once every other day, 3 times a week. Both groups were treated for 12 weeks. Before and after treatment, the TCM syndrome score was observed, the semen routine indexes (the sperm concentration, progressive [PR] sperm motility, PR + non-progressive [NP] sperm motility and sperm malformation rate), the serum sex hormones indexes (follicle-stimulating hormone [FSH], luteinizing hormone [LH], testosterone [T] and estradiol [E₂]), as well as the IL-6 and IL-10 levels in seminal plasma were detected, and the clinical efficacy was evaluated after treatment in the two groups. RESULTS: After treatment, except for the hyposexuality score in the medication group, the each item scores and total scores of TCM syndrome were decreased compared with those before treatment (P<0.01, P<0.05), the sperm malformation rates, serum FSH and LH levels, IL-6 levels in the seminal plasma were decreased compared with those before treatment (P<0.01, P<0.05), the PR sperm motility, PR + NP sperm motility, serum T levels, IL-10 levels in the seminal plasma were increased compared with those before treatment (P<0.01, P<0.05) in the two groups; the sperm concentration was increased compared with that before treatment in the combination group (P<0.01). After treatment, compared with the medication group, except for the hyposexuality and frequent nocturia scores, the each item scores and total score of TCM syndrome were lower (P<0.01, P<0.05); the sperm concentration, PR sperm motility and PR + NP sperm motility, serum T level, IL-10 level in the seminal plasma were higher (P<0.01, P<0.05); sperm malformation rate, serum FSH and LH levels, IL-6 level in the seminal plasma were lower (P<0.01, P<0.05) in the combination group. The total effective rate was 83.8% (25/30) in the combination group, which was superior to 60.0% (18/30) in the medication group (P<0.05). CONCLUSION Warming acupuncture combined with western medication can effectively treat oligoasthenoteratozoospermia of kidney-yang insufficiency, regulate the levels of sex hormones, and its mechanism may be related to the down-regulation of IL-6 level and the up-regulation of IL-10 level in seminal plasma.
Humans ; Male ; Interleukin-10/genetics* ; Interleukin-6/genetics* ; Adult ; Semen/metabolism* ; Acupuncture Therapy ; Oligospermia/drug therapy* ; Yang Deficiency/physiopathology* ; Kidney/physiopathology* ; Young Adult ; Asthenozoospermia/drug therapy* ; Combined Modality Therapy ; Treatment Outcome

ObjectiveTo investigate the epidemiological characteristics of human parainfluenza virus (HPIV) in Pudong New Area, Shanghai, and to provide a basis for the prevention and control of HPIV infections in this area. MethodsA total of 8 180 cases with acute respiratory infection (ARI)/influenza-like illness (ILI) attending the fever outpatient clinics, pediatric outpatient clinics, respiratory outpatient clinics, pediatric wards, emergency departments, respiratory wards, and intensive care units (ICUs) and other monitoring departments in 9 sentinel hospitals in Pudong New Area from 2017 to 2022 were selected as the research subjects, and their nasopharyngeal/ throat swabs were collected. Polymerase chain reaction (PCR) method was performed for testing the respiratory virus such as influenza virus, human adenovirus, human parainfluenza virus, respiratory syncytial virus (RSV), human enterovirus, rhinovirus, et al. HPIV serotypes were analyzed, and the detection rates of HPIV were compared between different times, seasons, and population groups. ResultsThe overall HPIV detection rate of ARI/ILI cases in Pudong New Area was 3.73% (305/8 180) in 2017‒2022, with HPIV-3 being the predominant serotype. The detection rate of HPIV decreased significantly in 2017‒2022, peaking at 7.66% (99/1 293) in 2017 and falling to 0.80% (13/1 617) in 2021. Statistically significant differences were observed in HPIV detection rates across different years (χ²_trend=80.037, P_trend<0.001). The detection rate was higher in 2017‒2019 than that in 2020‒2022 (χ²_trend=38.990, P_trend<0.001). HPIV exhibited seasonal patterns in 2017‒2019, with higher detection rates in summer and autumn and lower in spring and winter, whereas no seasonal patterns were observed in 2020‒2022. Children aged <6 years had the highest detection rate (7.07%, 139/1 967), followed by adults aged ≥60 years (4.78%, 85/1 779). Statistically significant differences were observed in the detection rates of HPIV among different age groups (χ²=111.210, P<0.001). Symptoms of HPIV infection were predominantly cough, fever, and runny nose in pre-school children, fever, cough, and sore throat in school-age children, and adults, and cough, expectoration, and fever in the elderly. ConclusionThe HPIV detection rate in Pudong New Area was low in 2017‒2022. The seasonal pattern of HPIV circulation in Pudong New Area disappeared in 2020‒2022 due to the influence of infectious disease epidemics. Young children and the elderly should be prioritized in HPIV prevention and control efforts.

Objective: To develop the Adolescent Peer Bullying Knowledge-Attitude-Practice (KAP) Questionnaire and to evaluate its reliability and validity, so as to provide an effective tool for evaluating the KAP level regarding peer bullying among adolescents. Methods: A preliminary framework was developed through literature review, expert consultation, and group discussions. In September 2024, 2 203 students in grades 7 to 9 from two regular junior high schools in Anhui Province were selected using cluster sampling for a preliminary survey aimed at questionnaire development, including item screening and reliability and validity testing. Results: The initial KAP questionnaire on adolescent peer bullying consisted of 25 items: two items, "Behavior 6" and "Behavior 7", were excluded as their correlation coefficients with the total KAP score being only 0.08 and 0.05, respectively, falling below the preset criteria(0.4). The final questionnaire comprised 23 items, divided into three dimensions: knowledge, attitude, and behavior. Reliability testing showed that the overall Cronbach α coefficient of the questionnaire was 0.89, with Cronbach α coefficients for the knowledge, attitude, and behavior dimensions being 0.91, 0.67 and 0.79, respectively. The overall splithalf reliability of the questionnaire was 0.87, with split half reliabilities for the knowledge, attitude, and behavior dimensions being 0.82, 0.64 , and 0.66, respectively. Testretest reliability ranged from 0.82 to 0.97. Confirmatory factor analysis results indicated that the questionnaire had RMSEA=0.062, NFI=0.924, CFI =0.931, with good discriminant validity. Conclusion The developed KAP questionnaire on adolescent peer bullying demonstrates good reliability and validity and can be used as an assessment tool for evaluating the KAP level regarding peer bullying among adolescents.

Objective: To evaluate the effectiveness of a family-school-community integrated intervention based on the microsystem theory in reducing peer bullying among junior high school students, so as to provide empirical evidence and feasible pathways for junior high school students bullying prevention and control in China. Methods: A combining convenience with clustering method was employed to select 6 268 students from three regular junior high schools in Fuyang and Anqing cities, Anhui Province, as the study subjects in October 2024, and randomly assigned by drawing lots to three groups: family-school-community integrated intervention ( n =2 063), school only intervention ( n =1 864), and control group ( n =2 341). From October 10, 2024, to January 10, 2025, the intervention was implemented for three months using posters, brochures, and videos, with one session every half month, each lasting 40 minutes. The family-school-community integrated intervention group received multi level interventions involving families, schools, and communities, while the school only intervention group received only school based interventions. The control group received routine school health education but no other interventions. Before and after the intervention, data on peer bullying among junior high school students were collected using the Peer Bullying Scale, and comparison of detection rate of peer bullying by Chi square test. Results: After the intervention,group comparison results showed that the incidence rates of various types of peer bullying in the family-school-community integrated intervention group, the school only intervention group, and the control group all showed statistically significant differences ( χ 2=28.61-66.85, all P <0.05). The detection rates of verbal bullying ( 7.51 %), relational bullying (5.62%), physical bullying (3.34%), cyberbullying (1.75%), being bullied (10.81%), verbal bullying others (2.67%), relational bullying others (1.55%), physical bullying others (1.36%), cyberbullying others (1.41%), and overall peer bullying (3.64%) in the family-school-community integrated intervention group were all lower than those in the control group (12.52%, 11.58%, 6.24%, 5.00%, 19.14%, 7.56%, 4.49%, 4.53%, 3.80%, 9.40%); additionally, the detection rates of verbal bullying others, overall peer bullying , verbal bullying, and being bullied , in the family-school-community integrated intervention group were all lower than those in the school only intervention group (4.67%, 6.65%, 13.14%, 16.42%), with statistically significant differences ( χ 2=30.04, 48.49, 19.75, 34.60, 58.89, 52.65, 31.32, 37.37, 24.14, 58.26; 11.25, 18.53, 33.93, 26.41, all P <0.016 7). Group comparison showed that in both intervention groups, the majority of peer bullying behaviors decreased after the intervention ( χ 2=4.86-171.01, all P <0.05). Conclusions The family-school-community integrated intervention based on the microsystem can effectively reduce peer bullying among junior high school students, with better efficacy than the single school intervention. The model can serve as a practical reference for establishing a multi level prevention and intervention system for junior high school students bullying in China.

Objective:To establish an indicator system for surveillance of data sources to provide a theoretical basis for respiratory infectious disease surveillance and early warning.Methods:Indicators for data sources in the surveillance of acute respiratory infectious diseases were initially compiled through a literature search. Subsequently, two rounds of expert consultations were conducted with 22 experts using the Delphi method to refine the indicators.Results:The questionnaire recovery rates for the two rounds of expert consultation were 100.00% and 86.36%, respectively. The authority coefficient of the experts was 0.83. The coordination coefficient of the second round of Delphi expert consultation was 0.32, and the coefficient of variation of each indicator was less than 0.25. Finally, the indicators system of data source for the surveillance of acute respiratory infectious diseases includes 4 first-level indicators, 10 second-level indicators, and 26 third-level indicators.Conclusion:The indicator system of data sources for the surveillance of acute respiratory infectious diseases constructed in this study is reasonable and reliable, providing a valuable reference for surveillance, early warning and policy formulation of acute respiratory infectious diseases.

Objective:To explore the application of COVID-19-specific IgG antibody in identifying epidemic Omicron BA.5 strain infection.Method:Omicron BF.7/BA.5 naturally infected population, healthy population vaccinated with the COVID-19 vaccine, and Omicron BF.7/BA.5 breakthrough cases were enrolled into this study. The serum WT-S-IgG and BA.5-S-IgG were detected by indirect ELISA, and the serum-specific IgG antibody levels of different populations were compared. The application value of the two antibody titers and the ratio of the two antibodies in identifying Omicron BA.5 epidemic strain infection were explored by the ROC curve, aiming to provide technical support for pathogen diagnosis.Results:The antibody titers of WT-S-IgG and BA.5-S-IgG in the breakthrough cases were higher than those in the naturally infected population and the healthy population ( P<0.05). The area under the curve (AUC) of WT-S-IgG and BA.5-S-IgG in identifying epidemic Omicron BA.5 strain infection was 0.947 and 0.961, respectively. The AUC of BA.5-S-IgG and WT-S-IgG antibody titer ratio was 0.873. When the antibody titer ratio was 0.855, the sensitivity and specificity were 80.00% and 90.00%, respectively. According to the interval since the last infection, the AUC of the ratio of BA.5-S-IgG to WT-S-IgG antibody titer to identify the infection of epidemic strains less than 30 days and more than 30 days was 0.887 and 0.863, respectively, and the sensitivity and specificity were both above 80%. Conclusion:Both BA.5-S-IgG and WT-S-IgG, as well as the combination of these two antibodies, are of high value in the identification of epidemic strains.

Objective:To explore the application of COVID-19-specific IgG antibody in identifying epidemic Omicron BA.5 strain infection.Method:Omicron BF.7/BA.5 naturally infected population, healthy population vaccinated with the COVID-19 vaccine, and Omicron BF.7/BA.5 breakthrough cases were enrolled into this study. The serum WT-S-IgG and BA.5-S-IgG were detected by indirect ELISA, and the serum-specific IgG antibody levels of different populations were compared. The application value of the two antibody titers and the ratio of the two antibodies in identifying Omicron BA.5 epidemic strain infection were explored by the ROC curve, aiming to provide technical support for pathogen diagnosis.Results:The antibody titers of WT-S-IgG and BA.5-S-IgG in the breakthrough cases were higher than those in the naturally infected population and the healthy population ( P<0.05). The area under the curve (AUC) of WT-S-IgG and BA.5-S-IgG in identifying epidemic Omicron BA.5 strain infection was 0.947 and 0.961, respectively. The AUC of BA.5-S-IgG and WT-S-IgG antibody titer ratio was 0.873. When the antibody titer ratio was 0.855, the sensitivity and specificity were 80.00% and 90.00%, respectively. According to the interval since the last infection, the AUC of the ratio of BA.5-S-IgG to WT-S-IgG antibody titer to identify the infection of epidemic strains less than 30 days and more than 30 days was 0.887 and 0.863, respectively, and the sensitivity and specificity were both above 80%. Conclusion:Both BA.5-S-IgG and WT-S-IgG, as well as the combination of these two antibodies, are of high value in the identification of epidemic strains.

Objective:To explore the medication law of gilles de la Tourette syndrome (TS) in ancient TCM books through data mining.Methods:TS related disease information was searched by searching Chinese Medicine Collection Database 4.0 and Chinese Medical Classics 5.0 about liver wind, convulsion, infantile convulsion, slow infantile convulsion, Chi Zong, Jin Ti Rou Yu, chronic spleen wind. Excel 2022 software was used to input the main symptoms, etiology and pathogenesis, treatment methods and prescriptions of each disease, and the frequency, property and taste, meridian tropism and efficacy of medication were analyzed. Gephi 0.9.2 software was used to analyze the complex network of Chinese materia medica data to find out the core drugs. SPSS Statistic 25.0 software was used for clustering analysis of high-frequency Chinese materia medica (top 50 in frequency ). SPSS Modeler 14.2 software was used to analyze the association rules of high-frequency Chinese materia medica based on Apriori algorithm. Results:Totally 692 ancient prescriptions were included, involving 436 kinds of Chinese materia medica. The top five in terms of frequency were: Scorpio, Cinnabaris, Moschus, Typhonii Rhizoma, Gastrodiae Rhizoma appeared the most frequently. The main property was cold, the main taste was pungent, and mainly into the liver, spleen, and heart meridians; the core drugs were Bombyx Batryticatus, Pinelliae Rhizoma, and Glycyrrhizae Radix et Rhizoma. Clustering analysis could be divided into 8 categories. Correlation analysis showed that Scorpio→Bombyx mori Linnaeus and Cinnabaris had the highest support, while Cinnabaris→Bovis Calculus→Moschus→Scorpio had the highest confidence.Conclusions:Ancient doctors believed that the disease location of TS-related diseases are mainly liver, heart, spleen and kidney, and the pathogenic factors were mainly wind, fire, phlegm, blood stasis and deficiency. The insect snakes used in prescription drugs are used to search for wind and eliminate pathogenic factors, the epigraphy is used to calm the nerves and calm the wind, and the herbs are used to soothe the wind, clear heat, calm the liver and dispel phlegm.