BACKGROUND: Congenital heart disease (CHD) is a leading cause of birth defect-related mortality. However, more recent CHD mortality data for China are lacking. Additionally, limited studies have evaluated sex, rural-urban, and region-specific disparities of CHD mortality in China. METHODS: We designed a population-based study using data from the Dataset of National Mortality Surveillance in China between 2008 and 2021. We calculated age-adjusted CHD mortality using the sixth census data of China in 2010 as the standard population. We assessed the temporal trends in CHD mortality by age, sex, area, and region from 2008 to 2021 using the joinpoint regression model. RESULTS: From 2008 to 2021, 33,534 deaths were attributed to CHD. The period witnessed a two-fold decrease in the age-adjusted CHD mortality from 1.61 to 0.76 per 100,000 persons (average annual percent change [AAPC] = -5.90%). Females tended to have lower age-adjusted CHD mortality than males, but with a similar decline rate from 2008 to 2021 (females: AAPC = -6.15%; males: AAPC = -5.84%). Similar AAPC values were observed among people living in urban (AAPC = -6.64%) and rural (AAPC = -6.12%) areas. Eastern regions experienced a more pronounced decrease in the age-adjusted CHD mortality (AAPC = -7.86%) than central (AAPC = -5.83%) and western regions (AAPC = -3.71%) between 2008 and 2021. Approximately half of the deaths (46.19%) due to CHD occurred during infancy. The CHD mortality rates in 2021 were lower than those in 2008 for people aged 0-39 years, with the largest decrease observed among children aged 1-4 years (AAPC = -8.26%), followed by infants (AAPC = -7.01%). CONCLUSIONS CHD mortality in China has dramatically decreased from 2008 to 2021. The slower decrease in CHD mortality in the central and western regions than in the eastern regions suggested that public health policymakers should pay more attention to health resources and health education for central and western regions.
Humans ; Heart Defects, Congenital/mortality* ; Male ; Female ; China/epidemiology* ; Infant ; Child, Preschool ; Adult ; Child ; Adolescent ; Infant, Newborn ; Middle Aged ; Young Adult ; Aged ; Rural Population

OBJECTIVE To explore the possible mechanism of Qingchang Huashi Formula in the treatment of ulcerative colitis(UC).METHODS Fifty C57BL/6 male mice were randomly divided into a control(Ctrl)group,a model group,a low-dose Qingchang Huashi Formula group,a high-dose Qingchang Huashi Formula group,and a 5-aminosalicylic acid(5-ASA)group based on body weight.The UC model was established in mice by drinking 3%dextran sulfate sodium(DSS)for 6 d.On d7 and d8,DSS was withdrawn and ultrapure water was given daily.Ultrapure water or different drugs were administered orally throughout the experiment:Ctrl and model groups received 0.2 mL of ultrapure water,while the low-dose and high-dose Qingchang Huashi Formula groups re-ceived 6 and 12 g·kg-1,respectively,and the concentration of 5-ASA was 100 mg·kg-1.Body weight and fecal characteristics of the mice were recorded daily,and the experiment ended on d9.Serum was collected from mice for serum metabolomics and inflam-matory factor expression analysis.The colons of the mice were isolated and their lengths were measured,and the distal colon was ob-tained for pathological analysis.The livers and colons of the mice were isolated for subsequent total bile acid analysis.RESULTS Compared with the Ctrl group,the model group mice showed a significant decrease in body weight and colon length(P<0.000 1),a remarkable increase in disease activity index(P<0.000 1).The concentration of inflammatory factors IL-1β and TNF-α was signifi-cantly increased(P<0.000 1).High-dose and low-dose Qingchang Huashi Formula,as well as 5-ASA could significantly alleviate the loss of body weight,increased DAI,colon shortening,and disappearance of colon tissue morphology in mice.Through ELISA tes-ting,it was found the concentration of IL-1β and TNF-α was remarkably decreased after Qingchang Huashi Formula and 5-ASA treat-ment(P<0.01,P<0.000 1).Through LC-MS analysis of serum metabolites and KEGG enrichment analysis,we found that interven-tion with Qingchang Huashi Formula could significantly affect the primary bile acid synthesis,secondary bile acid synthesis and bile se-cretion.Using total bile acid reagent kit,we found that the total bile acid in the liver of colitis mice did not show significant changes when compared with the Ctrl group of mice,and the concentration of total bile acid in the serum was significantly reduced,the concen-tration of TBA in the colon was significantly increased(P<0.05).After intervention with the Qingchang Huashi Formula,the concen-tration of total bile acid in the serum of mice was significantly increased,while the concentration of total bile acid in the colon was re-duced(P<0.05).Compared with mice in Ctrl group,the levels of deoxycholic acid(DCA)and taurine deoxycholic acid(TDCA)in serum of colitis mice were significantly reduced(P<0.05).After intervention with Qingchang Huashi Formula,the levels of DCA,TD-CA and Ursodeoxycholic acid(UDCA)in serum of mice were restored(P<0.01).CONCLUSION Qingchang Huashi Formula can effectively relieve DSS-induced colitis in mice,reducing immune inflammatory response,reregulating the disorder of serum metabolism and enterohepatic circulation.

This article is based on modern psychology and TCM emotional theory,combined with facial expression recognition technology,to apply deep learning methods to the digital research of TCM emotions to more accurately capture and analyze patients'emotional states.A cross-disciplinary framework was established by synthesizing facial expression-emotion correlations from psychological and TCM perspectives.The methodology included:Data annotation of TCM-defined emotional expressions using standardized coding systems;Facial expression acquisition,spatiotemporal feature extraction and emotion classification through a 3D convolutional neural network(3D CNN).The framework achieved 91.43%accuracy in video-based emotion classification.High-arousal emotional states demonstrated superior recognition performance,with anger showing optimal recall(1.000 0)and F1-score(0.946 3),while surprise attained the highest precision(0.976 0).These findings aligned with TCM pathological characteristic of"anger induces qi ascending,surprise disrupts qi flow".The digital recognition framework for TCM emotional quantification based on facial expression recognition technology exhibits strong alignment with TCM observation diagnosis,providing clinicians with an objective tool to assess the"seven emotions"and elucidating emotion-facial correlations in classical TCM theory.Future research should focus on longitudinal validation across diverse populations and establish development pathways for AI-assisted TCM diagnostic systems.

Objective:To assess the current status of geriatrics department development in public general hospitals at or above the second grade in Shandong province.Methods:A cross-sectional survey was conducted from October 27 to November 3, 2023 using a web-based electronic questionnaire to investigate the current status of geriatrics department development in all public general hospitals at or above the second grade across 16 prefecture-level cities in Shandong province.The survey included participation from medical department staff and managers of geriatric medicine departments.Results:Shandong province has 355 public general hospitals at or above the second grade, of which 337 completed the questionnaire.Among these 337 hospitals, 92.28%(311/337)have established geriatric departments, 83.09%(280/337)have set up geriatric clinics, 69.14%(233/337)have independent geriatric wards, and 71.51%(241/337)have implemented comprehensive geriatric assessments(CGA).Regarding the configuration of geriatric departments, 60.24%(203/337)of hospitals met the requirement of having at least 20 ward beds, 34.42%(116/337)met the doctor-to-bed ratio requirement of at least 0.3, and 22.26%(75/337)met the nurse-to-bed ratio requirement of at least 0.6.Only 13 hospitals met all the requirements for geriatric wards, beds, doctors, and nurses, accounting for 3.86%(13/337)of the participating hospitals.Conclusions:The establishment of geriatrics departments in second-grade or higher public general hospitals in Shandong province has surpassed the national target in China ahead of schedule.Most hospitals have established geriatric clinics and wards and have implemented CGA.However, significant challenges remain, including a shortage of ward beds and a lack of medical staff.

OBJECTIVE To explore the possible mechanism of Qingchang Huashi Formula in the treatment of ulcerative colitis(UC).METHODS Fifty C57BL/6 male mice were randomly divided into a control(Ctrl)group,a model group,a low-dose Qingchang Huashi Formula group,a high-dose Qingchang Huashi Formula group,and a 5-aminosalicylic acid(5-ASA)group based on body weight.The UC model was established in mice by drinking 3%dextran sulfate sodium(DSS)for 6 d.On d7 and d8,DSS was withdrawn and ultrapure water was given daily.Ultrapure water or different drugs were administered orally throughout the experiment:Ctrl and model groups received 0.2 mL of ultrapure water,while the low-dose and high-dose Qingchang Huashi Formula groups re-ceived 6 and 12 g·kg-1,respectively,and the concentration of 5-ASA was 100 mg·kg-1.Body weight and fecal characteristics of the mice were recorded daily,and the experiment ended on d9.Serum was collected from mice for serum metabolomics and inflam-matory factor expression analysis.The colons of the mice were isolated and their lengths were measured,and the distal colon was ob-tained for pathological analysis.The livers and colons of the mice were isolated for subsequent total bile acid analysis.RESULTS Compared with the Ctrl group,the model group mice showed a significant decrease in body weight and colon length(P<0.000 1),a remarkable increase in disease activity index(P<0.000 1).The concentration of inflammatory factors IL-1β and TNF-α was signifi-cantly increased(P<0.000 1).High-dose and low-dose Qingchang Huashi Formula,as well as 5-ASA could significantly alleviate the loss of body weight,increased DAI,colon shortening,and disappearance of colon tissue morphology in mice.Through ELISA tes-ting,it was found the concentration of IL-1β and TNF-α was remarkably decreased after Qingchang Huashi Formula and 5-ASA treat-ment(P<0.01,P<0.000 1).Through LC-MS analysis of serum metabolites and KEGG enrichment analysis,we found that interven-tion with Qingchang Huashi Formula could significantly affect the primary bile acid synthesis,secondary bile acid synthesis and bile se-cretion.Using total bile acid reagent kit,we found that the total bile acid in the liver of colitis mice did not show significant changes when compared with the Ctrl group of mice,and the concentration of total bile acid in the serum was significantly reduced,the concen-tration of TBA in the colon was significantly increased(P<0.05).After intervention with the Qingchang Huashi Formula,the concen-tration of total bile acid in the serum of mice was significantly increased,while the concentration of total bile acid in the colon was re-duced(P<0.05).Compared with mice in Ctrl group,the levels of deoxycholic acid(DCA)and taurine deoxycholic acid(TDCA)in serum of colitis mice were significantly reduced(P<0.05).After intervention with Qingchang Huashi Formula,the levels of DCA,TD-CA and Ursodeoxycholic acid(UDCA)in serum of mice were restored(P<0.01).CONCLUSION Qingchang Huashi Formula can effectively relieve DSS-induced colitis in mice,reducing immune inflammatory response,reregulating the disorder of serum metabolism and enterohepatic circulation.

Objective:To assess the current status of geriatrics department development in public general hospitals at or above the second grade in Shandong province.Methods:A cross-sectional survey was conducted from October 27 to November 3, 2023 using a web-based electronic questionnaire to investigate the current status of geriatrics department development in all public general hospitals at or above the second grade across 16 prefecture-level cities in Shandong province.The survey included participation from medical department staff and managers of geriatric medicine departments.Results:Shandong province has 355 public general hospitals at or above the second grade, of which 337 completed the questionnaire.Among these 337 hospitals, 92.28%(311/337)have established geriatric departments, 83.09%(280/337)have set up geriatric clinics, 69.14%(233/337)have independent geriatric wards, and 71.51%(241/337)have implemented comprehensive geriatric assessments(CGA).Regarding the configuration of geriatric departments, 60.24%(203/337)of hospitals met the requirement of having at least 20 ward beds, 34.42%(116/337)met the doctor-to-bed ratio requirement of at least 0.3, and 22.26%(75/337)met the nurse-to-bed ratio requirement of at least 0.6.Only 13 hospitals met all the requirements for geriatric wards, beds, doctors, and nurses, accounting for 3.86%(13/337)of the participating hospitals.Conclusions:The establishment of geriatrics departments in second-grade or higher public general hospitals in Shandong province has surpassed the national target in China ahead of schedule.Most hospitals have established geriatric clinics and wards and have implemented CGA.However, significant challenges remain, including a shortage of ward beds and a lack of medical staff.

Objective To promote the objectification and intelligence of clinical TCM tongue diagnosis in ulcerative colitis(UC).Methods Daosheng DS01-B tongue and face diagnosis information collection system was used to prospectively collect tongue image pictures of patients with ulcerative colitis damp-heat in the large intestine syndrome(DCSR)and spleen deficiency dampness retention syndrome(PXSY),with totaling 1096 images.After UC tongue image segmentation,preprocessing,and data augmentation,a data set of UC tongue images was formed.Based on ResNet50,a UC tongue image classification model was constructed using feature fusion methods and attention modules.Results The UC tongue image classification model constructed had better classification performance,with an average F1 value of 85.09%,an AUC value of 0.83 for PXSY,and an AUC value of 0.81 for DCSR,both of which were higher than the VGG11 and ResNet50 models.Conclusion The constructed UC tongue image classification model can effectively identify DCSR and PXSY,providing a new approach to improve the accuracy and objectivity of UC differentiation and assisting in the intelligence of TCM tongue diagnosis.

Objective To promote the objectification and intelligence of clinical TCM tongue diagnosis in ulcerative colitis(UC).Methods Daosheng DS01-B tongue and face diagnosis information collection system was used to prospectively collect tongue image pictures of patients with ulcerative colitis damp-heat in the large intestine syndrome(DCSR)and spleen deficiency dampness retention syndrome(PXSY),with totaling 1096 images.After UC tongue image segmentation,preprocessing,and data augmentation,a data set of UC tongue images was formed.Based on ResNet50,a UC tongue image classification model was constructed using feature fusion methods and attention modules.Results The UC tongue image classification model constructed had better classification performance,with an average F1 value of 85.09%,an AUC value of 0.83 for PXSY,and an AUC value of 0.81 for DCSR,both of which were higher than the VGG11 and ResNet50 models.Conclusion The constructed UC tongue image classification model can effectively identify DCSR and PXSY,providing a new approach to improve the accuracy and objectivity of UC differentiation and assisting in the intelligence of TCM tongue diagnosis.

This article is based on modern psychology and TCM emotional theory,combined with facial expression recognition technology,to apply deep learning methods to the digital research of TCM emotions to more accurately capture and analyze patients'emotional states.A cross-disciplinary framework was established by synthesizing facial expression-emotion correlations from psychological and TCM perspectives.The methodology included:Data annotation of TCM-defined emotional expressions using standardized coding systems;Facial expression acquisition,spatiotemporal feature extraction and emotion classification through a 3D convolutional neural network(3D CNN).The framework achieved 91.43%accuracy in video-based emotion classification.High-arousal emotional states demonstrated superior recognition performance,with anger showing optimal recall(1.000 0)and F1-score(0.946 3),while surprise attained the highest precision(0.976 0).These findings aligned with TCM pathological characteristic of"anger induces qi ascending,surprise disrupts qi flow".The digital recognition framework for TCM emotional quantification based on facial expression recognition technology exhibits strong alignment with TCM observation diagnosis,providing clinicians with an objective tool to assess the"seven emotions"and elucidating emotion-facial correlations in classical TCM theory.Future research should focus on longitudinal validation across diverse populations and establish development pathways for AI-assisted TCM diagnostic systems.

Objective To analyze the incidence characteristics and pathogen epidemic characteristics of respiratory tract children in Chongqing Kaizhou area. Methods A total of 5 328 children admitted to our hospital from January 2019 to December 2022 were selected as the research subjects. Indirect immunofluorescence method was used to detect 8 common respiratory pathogens in the serum of the children; Using SPSS 22.0 software, analyze the incidence characteristics and pathogen prevalence of 8 pathogens in respiratory tract children. Results (1) The highest detection rate was MP (χ²=12.141, P<0.05); (2) The detection rate of PM and PIV in the infant group was lower than that in the infant group and large group, The difference was statistically significant (χ²=7.923, P<0.05); (3) Eight pathogens IgM had the highest detection rate in the spring, Opposite in winter (χ²=1.872, P<0.05); (4) A total of 3 817 IgM antibody positive cases were detected in 5328 sick infants, The positive rate was 71.64%, There was a statistical difference between the sexes (χ²=3.928, P<0.05). Conclusion The detection rate of respiratory pathogens varies in age and sex, which is highest in spring, so pay attention to the respiratory tract infection in spring, focusing on the prevention and treatment of mycoplasma pneumoniae.