Objective:To investigate tetanus antibody levels and distribution characteristics in a healthy population of Henan Province.Methods:A cross-sectional survey was conducted in Henan Province from 2022 to 2023 to investigate the permanent population. Enzyme-linked immunosorbent assay (ELISA) was used to detect anti-tetanus toxoid IgG antibody (anti-TT), and the positive rate (≥0.01 IU/ml), protection rate (≥0.1 IU/ml) and concentration differences of tetanus antibodies in different populations were analyzed.Results:The age M ( Q1, Q3) of 5 494 participants was 14 (4, 40) years old, with a minimum age of 8 months and a maximum age of 81 years old. The male-to-female ratio was 1.00∶1.18. The total positive rate, protective rate and mean concentration (MC) [ M ( Q1, Q3)] of Anti-TT were 76.48%, 41.72% and 0.067 (0.010, 0.154) IU/ml, respectively. The positive rates of Anti-TT in individuals aged <3, 3-5, 6-9, and 10-14 were 95.32%, 96.05%, 97.81%, and 93.17%, respectively, but gradually decreased with age ( χ2trend=1 283.02, P<0.001). The antibody protection rate [82.13% (579/705)] and MC [ M ( Q1, Q3) of 0.160 (0.122, 0.259) IU/ml] in the population under 3 years old were relatively high, and both showed a decreasing trend with age (protection rate: χ2trend=1 889.49, P<0.001; MC: t=-54.22, P<0.001). There were significant differences in antibody levels among populations of different ages, regions, occupations, and immunization histories (all P<0.001). Within 13 years after the last dose of TTCV vaccination, the positive rate of Anti-TT was all greater than 90%, but the protection rate and MC continued to decrease with the prolongation of vaccination time (protection rate: χ2trend=160.58, P<0.001; MC: t=-14.93, P<0.001). After the last dose of vaccination, the protection rate and MC [ M ( Q1, Q3)] decreased to 30.43% and 0.055 (0.036, 0.115) IU/ml, respectively, for 10-13 years. The protection rates of Anti-TT for farmers, workers, people aged 60 and above, and women of childbearing age (20-45 years old) were 7.77%, 22.96%, 8.39%, and 12.72%, respectively. Conclusion:The level of tetanus antibodies in infants and young children in Henan Province is relatively high from 2022 to 2023, but it decreases with age and prolonged post-immunization time. There are significant differences in antibody levels among individuals of different ages, regions, occupations, and immunization histories. Occupational high-risk groups such as farmers and workers, elderly people, and women of childbearing age lack sufficient immunization protection.

Objective:To investigate tetanus antibody levels and distribution characteristics in a healthy population of Henan Province.Methods:A cross-sectional survey was conducted in Henan Province from 2022 to 2023 to investigate the permanent population. Enzyme-linked immunosorbent assay (ELISA) was used to detect anti-tetanus toxoid IgG antibody (anti-TT), and the positive rate (≥0.01 IU/ml), protection rate (≥0.1 IU/ml) and concentration differences of tetanus antibodies in different populations were analyzed.Results:The age M ( Q1, Q3) of 5 494 participants was 14 (4, 40) years old, with a minimum age of 8 months and a maximum age of 81 years old. The male-to-female ratio was 1.00∶1.18. The total positive rate, protective rate and mean concentration (MC) [ M ( Q1, Q3)] of Anti-TT were 76.48%, 41.72% and 0.067 (0.010, 0.154) IU/ml, respectively. The positive rates of Anti-TT in individuals aged <3, 3-5, 6-9, and 10-14 were 95.32%, 96.05%, 97.81%, and 93.17%, respectively, but gradually decreased with age ( χ2trend=1 283.02, P<0.001). The antibody protection rate [82.13% (579/705)] and MC [ M ( Q1, Q3) of 0.160 (0.122, 0.259) IU/ml] in the population under 3 years old were relatively high, and both showed a decreasing trend with age (protection rate: χ2trend=1 889.49, P<0.001; MC: t=-54.22, P<0.001). There were significant differences in antibody levels among populations of different ages, regions, occupations, and immunization histories (all P<0.001). Within 13 years after the last dose of TTCV vaccination, the positive rate of Anti-TT was all greater than 90%, but the protection rate and MC continued to decrease with the prolongation of vaccination time (protection rate: χ2trend=160.58, P<0.001; MC: t=-14.93, P<0.001). After the last dose of vaccination, the protection rate and MC [ M ( Q1, Q3)] decreased to 30.43% and 0.055 (0.036, 0.115) IU/ml, respectively, for 10-13 years. The protection rates of Anti-TT for farmers, workers, people aged 60 and above, and women of childbearing age (20-45 years old) were 7.77%, 22.96%, 8.39%, and 12.72%, respectively. Conclusion:The level of tetanus antibodies in infants and young children in Henan Province is relatively high from 2022 to 2023, but it decreases with age and prolonged post-immunization time. There are significant differences in antibody levels among individuals of different ages, regions, occupations, and immunization histories. Occupational high-risk groups such as farmers and workers, elderly people, and women of childbearing age lack sufficient immunization protection.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective:To analyze the application effect of the information platform based on the Internet of Things (IoT) in the screening and management of patients with chronic obstructive pulmonary disease (COPD).Methods:In this cross-sectional study, 151 062 residents who participated in the screening in the districts covered by 33 general hospitals and 289 primary medical institutions within the framework of Henan Provincial Center for COPD Prevention and Treatment from November 2021 to October 2022 were included as the subjects. Spirometer based on the IoT was used to conduct pulmonary function tests for subjects who scored 16 points or more with COPD Screening Questionnaire (COPD-SQ), and the subjects were evaluated and managed through the structured electronic data in the information platform. The distribution characteristics and follow-up of the subjects and COPD patients were described and the application effect of this strategy in patients screening and management was analyzed.Results:A total of 151 062 residents with complete basic information in the information platform completed the questionnaire. High-risk population of COPD accounted for 26.5% (40 042/151 062) of the population who received the questionnaire screening, and more than 50% had respiratory symptoms, such as chronic cough (59.4%), or shortness of breath (77.6%). The proportion of high-risk population increased with age, especially after 50 years old. Compared with non-smokers, the proportion of high-risk group was significantly higher (77.1% vs 16.4%) in the group with smoking index over 600. Biofuel exposure (61.3% vs 22.1%) and family history of respiratory diseases (64.2% vs 22.6%) were associated with an increased proportion of high-risk groups, with statistically significant differences ( P<0.001). 5 268 patients were diagnosed with COPD by pulmonary function tests, and the prevalence of COPD in high-risk groups was 27.8% (5 268/18 965), the prevalence rate of male was 34.0% (3 942/11 588), which was higher than that of female 18.0% (1 326/7 377). 2 950 patients (56.0%) completed at least one follow-up of symptom questionnaire and 510 patients (9.7%) completed more than one follow-up of pulmonary function test. Conclusion:The screening and management strategy of COPD based on the IoT and information technology can improve the efficiency of COPD screening, and improve the status quo of under-diagnosis and discontinuous follow-up of COPD.

Objective:This survey aims to investigate the prevalence, distribution, and medical treatment of depressive and anxiety disorder among people aged 18 and above in Henan province.Methods:An epidemiological survey was conducted in 30 counties (cities and districts) of Henan province from November 2020 to March 2021. A total of 10 800 permanent urban and rural residents aged 18 and above were selected by the stratified multi-stage random sampling method. The Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder Scale (GAD-7) were used for primary screening of depressive and anxiety disorders respectively. Then all participants were divided into high-, medium-, and low-risk groups based on the primary screening results. All participants in high-risk groups, 40% participants randomly selected in medium-risk groups, and 10% randomly selected in low-risk groups underwent a diagnostic procedure for depressive and anxiety disorder conducted by psychiatrists according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). The adjusted prevalence, standardized prevalence, and 95 %CI were calculated based on the number of patients diagnosed with depressive or anxiety disorders in the three risk groups in 12 months. The distribution of the prevalence of two mental disorders were compared using the chi-square test and Fisher′s exact probability test. Results:Among the 10 057 participants who completed the survey, 229 were diagnosed with depressive disorder and 412 with anxiety disorder. The 12-month standardized prevalence of depressive and anxiety disorder were 1.96% (95 %CI=1.51%-2.32%) and 3.90% (95 %CI=3.57%-4.23%), respectively. The prevalence rate was higher in populations living in rural areas, aged ≥60 years old, having a lower education level, having a lower monthly income, performing less regular exercise, having chronic disease, having poor physical health, and lack of mental health literacy. The treatment rates of patients with depressive and anxiety disorders were 32.8% (75/229) and 25.5% (105/412), respectively. The main reasons for non-seeking medical services were the unawareness that poor mental health status could be a disease and the consideration that mental health problems were not serious. Conclusion:The prevalence of depressive and anxiety disorder in urban and rural residents of Henan province is lower than that in other provinces of China and the corresponding national data. These prevalence rates vary greatly among populations with different demographic characteristics. The treatment rate is still low in the current studied population.

Objective:This survey aims to investigate the prevalence, distribution, and medical treatment of depressive and anxiety disorder among people aged 18 and above in Henan province.Methods:An epidemiological survey was conducted in 30 counties (cities and districts) of Henan province from November 2020 to March 2021. A total of 10 800 permanent urban and rural residents aged 18 and above were selected by the stratified multi-stage random sampling method. The Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder Scale (GAD-7) were used for primary screening of depressive and anxiety disorders respectively. Then all participants were divided into high-, medium-, and low-risk groups based on the primary screening results. All participants in high-risk groups, 40% participants randomly selected in medium-risk groups, and 10% randomly selected in low-risk groups underwent a diagnostic procedure for depressive and anxiety disorder conducted by psychiatrists according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). The adjusted prevalence, standardized prevalence, and 95 %CI were calculated based on the number of patients diagnosed with depressive or anxiety disorders in the three risk groups in 12 months. The distribution of the prevalence of two mental disorders were compared using the chi-square test and Fisher′s exact probability test. Results:Among the 10 057 participants who completed the survey, 229 were diagnosed with depressive disorder and 412 with anxiety disorder. The 12-month standardized prevalence of depressive and anxiety disorder were 1.96% (95 %CI=1.51%-2.32%) and 3.90% (95 %CI=3.57%-4.23%), respectively. The prevalence rate was higher in populations living in rural areas, aged ≥60 years old, having a lower education level, having a lower monthly income, performing less regular exercise, having chronic disease, having poor physical health, and lack of mental health literacy. The treatment rates of patients with depressive and anxiety disorders were 32.8% (75/229) and 25.5% (105/412), respectively. The main reasons for non-seeking medical services were the unawareness that poor mental health status could be a disease and the consideration that mental health problems were not serious. Conclusion:The prevalence of depressive and anxiety disorder in urban and rural residents of Henan province is lower than that in other provinces of China and the corresponding national data. These prevalence rates vary greatly among populations with different demographic characteristics. The treatment rate is still low in the current studied population.