Objective:To analyze the correlation between metabolic syndrome indexes and thyroid nodules in individuals receiving health examinations.Methods:It′s a retrospective cohort study. A total of 2 678 individuals who received health examinations in the Health Management Center of the First Hospital of Shanxi Medical University for four consecutive years and met the admission criteria were selected as the research objects. According to the metabolic syndrome index data of health examination, according to the different duration of metabolic syndrome during the observation period, the group-based trajectory model, Bayesian information criterion and average posterior grouping probability were used to determine the best trajectory groups, and the objects were divided into three different metabolic syndrome index trajectory groups: normal, abnormal and recovery group. During the physical examination in 2022 and 2023, the detection of thyroid nodules in each group was followed up, and the difference of detection rate of thyroid nodules in different metabolic syndrome trajectory groups was compared by Log-rank test, and the correlation between different metabolic syndrome index change trajectories and thyroid nodules was analyzed by logistic regression model.Results:The cumulative detection rate of thyroid nodules in normal group, abnormal group and recovery group was 18.8% (77/410), 27.5% (327/1 190) and 24.7% (266/1 078), respectively ( χ2=19.482, P<0.001). In model 4, after adjusting for age, gender, smoking, drinking, staying up late, insomnia, physical activity, family history and other confounding factors, the risk of thyroid nodules in abnormal group and recovery group was still 2.011 times (95% CI: 1.457-2.776) and 2.006 times (95% CI: 1.389-2.897) of that in normal group. Conclusion:There is a positive correlation between metabolic syndrome index and thyroid nodules in individuals receiving health examinations, and metabolic syndrome index can be used as a predictive index of thyroid nodules.

Objective:To evaluate the application effect of intelligent management of health management (examination) institutions in Shanxi Province.Methods:In this study, a cross-sectional study was adopted. In October 2023, through convenient sampling, 300 health management (examination) institutions in Shanxi Province were investigated according to the four regions of northern Shanxi, central Shanxi, southern Shanxi and southeastern Shanxi, and the application information of intelligent management in the whole process from January to December 2022 was collected. According to the evaluation indicators in the documents of the National Health and Wellness Commission, six indicators were analyzed, including the completion rate of health questionnaire, the integrity of physical examination files, the filing rate of physical examination cycle, the evaluation rate of cardiovascular risk diseases, the re-examination rate of patients with chronic diseases (blood pressure, blood lipid and blood glucose indicators) and the follow-up rate of important abnormal results.Results:The completion rates of health questionnaires in northern Shanxi, central Shanxi, southern Shanxi and southeastern Shanxi were 54.9%, 84.2%, 93.2% and 98.2% ( χ 2=225 050.17, P<0.001), and the filing rates of health checkups in various regions were 89.1%, 94.7%, 94.0% and 94.5% ( χ 2=10 254.02, P<0.001). The filing rates of physical examination cycles in each region were 21.8%, 23.4%, 24.3% and 24.7% ( χ 2=734.15, P<0.001), and the assessment rates of cardiovascular risk diseases in each region were 84.5%, 85.4%, 80.2% and 86.2% ( χ 2=4 627.99, P<0.001). The reexamination rates of patients with chronic diseases (blood pressure, blood lipid and blood glucose indicators) in different regions were 38.8%, 39.7%, 39.3% and 39.5% ( χ 2=24.24, P<0.001), and the follow-up rates of important abnormal results were 81.7%, 84.1%, 82.9% and 83.9% ( χ 2=255.02, P<0.001). Conclusion:Shanxi health management (examination) institutions have achieved certain results in the application of intelligent management in the whole process, but there is still much room for improvement in the filing of physical examination cycle and re-examination of chronic diseases.

Objective:To analyze the correlation between metabolic syndrome indexes and thyroid nodules in individuals receiving health examinations.Methods:It′s a retrospective cohort study. A total of 2 678 individuals who received health examinations in the Health Management Center of the First Hospital of Shanxi Medical University for four consecutive years and met the admission criteria were selected as the research objects. According to the metabolic syndrome index data of health examination, according to the different duration of metabolic syndrome during the observation period, the group-based trajectory model, Bayesian information criterion and average posterior grouping probability were used to determine the best trajectory groups, and the objects were divided into three different metabolic syndrome index trajectory groups: normal, abnormal and recovery group. During the physical examination in 2022 and 2023, the detection of thyroid nodules in each group was followed up, and the difference of detection rate of thyroid nodules in different metabolic syndrome trajectory groups was compared by Log-rank test, and the correlation between different metabolic syndrome index change trajectories and thyroid nodules was analyzed by logistic regression model.Results:The cumulative detection rate of thyroid nodules in normal group, abnormal group and recovery group was 18.8% (77/410), 27.5% (327/1 190) and 24.7% (266/1 078), respectively ( χ2=19.482, P<0.001). In model 4, after adjusting for age, gender, smoking, drinking, staying up late, insomnia, physical activity, family history and other confounding factors, the risk of thyroid nodules in abnormal group and recovery group was still 2.011 times (95% CI: 1.457-2.776) and 2.006 times (95% CI: 1.389-2.897) of that in normal group. Conclusion:There is a positive correlation between metabolic syndrome index and thyroid nodules in individuals receiving health examinations, and metabolic syndrome index can be used as a predictive index of thyroid nodules.

Objective:To evaluate the application effect of intelligent management of health management (examination) institutions in Shanxi Province.Methods:In this study, a cross-sectional study was adopted. In October 2023, through convenient sampling, 300 health management (examination) institutions in Shanxi Province were investigated according to the four regions of northern Shanxi, central Shanxi, southern Shanxi and southeastern Shanxi, and the application information of intelligent management in the whole process from January to December 2022 was collected. According to the evaluation indicators in the documents of the National Health and Wellness Commission, six indicators were analyzed, including the completion rate of health questionnaire, the integrity of physical examination files, the filing rate of physical examination cycle, the evaluation rate of cardiovascular risk diseases, the re-examination rate of patients with chronic diseases (blood pressure, blood lipid and blood glucose indicators) and the follow-up rate of important abnormal results.Results:The completion rates of health questionnaires in northern Shanxi, central Shanxi, southern Shanxi and southeastern Shanxi were 54.9%, 84.2%, 93.2% and 98.2% ( χ 2=225 050.17, P<0.001), and the filing rates of health checkups in various regions were 89.1%, 94.7%, 94.0% and 94.5% ( χ 2=10 254.02, P<0.001). The filing rates of physical examination cycles in each region were 21.8%, 23.4%, 24.3% and 24.7% ( χ 2=734.15, P<0.001), and the assessment rates of cardiovascular risk diseases in each region were 84.5%, 85.4%, 80.2% and 86.2% ( χ 2=4 627.99, P<0.001). The reexamination rates of patients with chronic diseases (blood pressure, blood lipid and blood glucose indicators) in different regions were 38.8%, 39.7%, 39.3% and 39.5% ( χ 2=24.24, P<0.001), and the follow-up rates of important abnormal results were 81.7%, 84.1%, 82.9% and 83.9% ( χ 2=255.02, P<0.001). Conclusion:Shanxi health management (examination) institutions have achieved certain results in the application of intelligent management in the whole process, but there is still much room for improvement in the filing of physical examination cycle and re-examination of chronic diseases.

Objective:To analyze the status quo of intelligent health management services in health examination institutions in Shanxi Province.Methods:This study is a cross-sectional study. In October 2023, 292 health examination institutions in 11 cities of Shanxi Province were surveyed by convenient sampling with the help of “Questionnaire star” to investigate the health examination (management) institutions to carry out smart health management services from January to December 2022. It was mainly divided into three aspects: pre-inspection, in-inspection and post-inspection, including 6 dimensions, with a total of 21 items. A total of 300 questionnaires were distributed in this survey, and 292 were effectively collected, with an effective recovery rate of 97.33%. The 292 questionnaires were divided and compared according to four regions: the north of Shanxi Province, the middle of Shanxi Province, the south of Shanxi Province and the southeast of Shanxi Province.Results:The health examination (management) institutions were distributed in 11 prefectures and cities in Shanxi Province, and there were 56 (19.2%) tertiary health examination (management) institutions. There were 178 government organizations (61.0%) and 114 social organizations (39.0%). There were 256 (87.7%) that carried out smart health management services; among them, 229 (78.4%) had smart management service systems, and 58 (19.9%) had physical examination centers with smart health management clinics. A total of 108 institutions (36.99%) carried out follow-up visits after intelligent screening. The prevalence of intelligent referrals were 63.3%, 59.6%, 78.0% and 85.2% in the north of Shanxi Province, the middle of Shanxi Province, the south of Shanxi Province and the southeast of Shanxi Province, respectively ( χ2=14.02, P<0.05). The prevalence of self-service in the north of Shanxi Province, the middle of Shanxi Province, the south of Shanxi Province and the southeast of Shanxi Province were 39.2%, 52.3%, 62.0% and 37.0%, respectively ( χ2=9.75, P<0.05). Conclusions:The development of intelligent health management in health examination (management) institutions in Shanxi Province is good, and the service scale continues to grow, but the problem of uneven development among regions is severe. In addition, the proportion of institutions providing services through information technology is not high, and the rate of intelligent management outpatient service, intelligent post-examination follow-up and intelligent physical examination service satisfaction is low.

Coronavirus disease 2019(COVID-19),which is caused by SARS-CoV-2,varies with regard to symptoms and mortality rates among populations.Humoral immunity plays critical roles in SARS-CoV-2 infection and recovery from COVID-19.However,differences in immune responses and clinical features among COVID-19 patients remain largely unknown.Here,we report a database for COVID-19-specific IgG/IgM immune responses and clinical parameters(named COVID-ONE-hi).COVID-ONE-hi is based on the data that contain the IgG/IgM responses to 24 full-length/truncated proteins corresponding to 20 of 28 known SARS-CoV-2 proteins and 199 spike protein peptides against 2360 serum samples collected from 783 COVID-19 patients.In addition,96 clinical parameters for the 2360 serum samples and basic information for the 783 patients are integrated into the database.Furthermore,COVID-ONE-hi provides a dashboard for defining samples and a one-click analysis pipeline for a single group or paired groups.A set of samples of interest is easily defined by adjusting the scale bars of a variety of parameters.After the"START"button is clicked,one can readily obtain a comprehensive analysis report for further interpretation.COVID-ONE-hi is freely available at www.COVID-ONE.cn.