ObjectiveTo analyze the detected results of CD4⁺T lymphocytes and viral load in newly identified human immunodeficiency virus (HIV) infected patients in Huangpu District of Shanghai in 2023, to explore the correlation between them, so as to provide a scientific basis for the development of targeted prevention and control measures and antiviral treatment programs. MethodsThe data of CD4 cell count, viral load and demographic characteristics of the newly infected patients living with HIV in Huangpu District, Shanghai in 2023 were collected and analyzed by using descriptive epidemiological method. ResultsThe mean CD4 cell count of the 67 newly identified HIV infected patients in Huangpu District was (301.22±235.19) cells·µL^-1, with a mean viral load of (5.15±1.28) ×10⁵ copies·mL^-1.There were statistically significant differences in CD4 cell count and viral load among different age groups (P<0.05), but there were no statistically significant differences by gender and marital status (both P>0.05). The CD4 cell count and CD4/CD8 ratio both were negatively correlated with the lg value of viral load (r=-0.290, -0.378; P=0.027, 0.002). ConclusionThe CD4 cell counts of the newly identified HIV infected patients in Huangpu District in 2023 were generally low, the proportion of patients with high viral load was high, but the risk for elderly infected with HIV was high. The elderly have gradually become the key population for AIDS prevention and control in Huangpu District. It is recommended to expand HIV screening in the elderly to reduce the risk of HIV transmission and increase the rate of early detection and treatment.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.

Objective:In the background of the national promotion of DIP insurance payment reform,using empirical data to evaluate the initial effects of payment reforms in typical traditional Chinese medicine hospitals.Methods:It collected inpatient case data from a Chinese medicine hospital in S city,encompassing a total of 207 500 cases from 2016 to 2022,and the differences between before and after the reform were analyzed using key indicators such as medical costs.Interrupted time series was applied to analyze the initial effects of the reform based on three intervention time points:reform implementation,epidemic development and static management.Logistic regression was applied to explore the main influencing factors,and recommendations for refinement were made based on the results of the key informant interviews.Results:It was found that the percentage of the high hospitalization cost group,high self-pay cost group and high bed-day cost group increased after the reform.There was an overall increasing trend in bed-day costs after the reform.Age,being married,operation times and average grade of operations,and death were the common influences.Conclusion:The initial stage of the DIP insurance payment reform was not effective in regulating medical costs.Demographic changes,strong intervention in epidemics,and the tendency of Chinese medicine hospitals to perform surgeries all tend to lead to an increase in hospitalization costs.At the same time,factors such as the shortage of policy interpretation and the lack of incentives for medical staff have affected the effectiveness of the reform.It was suggested that the DIP insurance payment reform of the Chinese medicine hospitals should be further promoted by strengthening the interpretation of policies and changing the solidification model,establishing positive incentives for medical staff,and adding indicators of traditional Chinese medicine characteristics.This will further fully leverage the advantages of Chinese medicine characteristics and enhance the substance and quality of Chinese medicine services.

Objective:To investigate and analyze the correlation between the expression levels of CD38, HLA-DR and programmed cell death-1 (PD-1) on peripheral blood CD8 +T cells and HIV-1 RNA viral load, immune activation and exhaustion in patients with human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS). Methods:A total of 81 HIV/AIDS patients (64 without antiretroviral therapy and 17 with therapy) and 40 healthy donors in the same period were enrolled as the control group. Flow cytometry was used to analyze the CD4 +T lymphocyte count and the expression levels of activation markers CD38 and HLA-DR and apoptosis marker PD-1 on CD8 +T cells. HIV-1 RNA in the plasma of HIV-1 infected patients was quantitatively detected by real-time fluorescence quantitative polymerase chain reaction. Variance analysis was used to compare the expression levels of CD38, HLA-DR and PD-1 on CD8 +T cells between HIV/AIDS patients and healthy controls. Spearman correlation analysis was used to analyze the correlation between different T lymphocyte counts and HIV RNA viral load, and the correlation between HIV RNA viral load and peripheral blood CD8 +T cell CD38, HLA-DR and PD-1. Results:Among the 81 HIV/AIDS patients, 69 (85.19%) were males and 12 (14.81%) were females, with an age M ( Q1, Q3) of 58 (36.5, 65.0) years. There were 60 HIV/AIDS patients over 55 years old (74.07%) and 21 HIV/AIDS patients between 18 and 55 years old (25.93%). The results of variance analysis showed that compared with the healthy control group, the expression levels of CD38, HLA-DR and PD-1 on CD8 +T cells in HIV/AIDS patients increased, and the differences were statistically significant (all P<0.05). In addition, the expression of CD38, HLA-DR and PD-1 increased significantly in patients with CD4 +T cell count less than 350 cells/μl, and the differences were statistically significant (all P<0.05). Spearman correlation analysis showed that CD4 +and CD4 +/CD8 +were negatively correlated with viral load in HIV/AIDS patients ( r=-0.407 and -0.378, respectively, both P<0.05), and CD8 +was positively correlated with viral load ( r=0.356, P<0.05). When the HIV RNA level was≤10 5 CPs/ml, there was no correlation between the HIV RNA level and the expression levels of CD38, HLA-DR and PD-1 on CD8 +T cells (all P>0.05). However, when the level of HIV RNA was>10 5 CPs/ml, the level of HIV RNA was positively correlated with the expression levels of CD38, HLA-DR and PD-1 on CD8 +T cells ( r=0.412, 0.387, 0.395, respectively, all P<0.05). Conclusions:The activation levels of CD38 and HLA-DR and the expression of PD-1 on CD8 +T cells in the peripheral blood of HIV/AIDS patients are increased. When the viral load is high, the HIV RNA viral load is positively correlated with the activation and exhaustion levels of CD8 +T cells.