Objective:To evaluate the changes of carotid intima thickness（CIT）and stiffness parameters in ankylosing spondylitis（AS）patients by 24 MHz ultra-high frequency ultrasound probe and RF-data based quantitative analysis on vessel stiffness（R-VQS），and to explore its influencing factors.Methods:Sixty patients with AS who underwent consultation at Henan Provincial People's Hospital from November 2023 to May 2024 were prospectively collected as AS group，54 healthy volunteers matched for sex，age，and body mass index were collected as control group. CIT were measured using a 24 MHz ultra-high frequency ultrasound probe，hardness coefficien（HC）and pulse wave velocity（PWV）were measured by R-VQS，the differences of the parameters between the two groups were compared. The changes of carotid artery elasticity and intima thickness and their influencing factors in patients with AS were explored by univariate and multivariate linear regression analysis.Results:①C-reactiveprotein，erythrocyte sedimentation rate（ESR），neutrophil count and neutrophil to lymphocyte ratio（NLR）were elevated in the AS group compared with the control group，and the differences were statistically significant（all P < 0.05）. ②CIT，carotid intima-media thickness（CIMT），HC，PWV and epicardial adipose tissue thickness（EATT）were all increased in the AS group compared with the control group，and the differences were statistically significant（all P < 0.05）. ③Multifactorial linear regression analysis showed that EATT，ESR were the main influencing factors of HC，PWV and CIT（ β=2.192，0.031；1.792，0.002；0.097，0.001；all P＜0.05）. Conclusions:Carotid CIT，CIMT，HC，PWV and EATT are all higher in the AS patients，and ESR and EATT are the main influencing factors of HC，PWV，and CIT，suggesting that more attention should be paid to the detection of ESR and EATT in patients with AS when interventions are performed clinically.

Objective:To evaluate the changes of carotid intima thickness（CIT）and stiffness parameters in ankylosing spondylitis（AS）patients by 24 MHz ultra-high frequency ultrasound probe and RF-data based quantitative analysis on vessel stiffness（R-VQS），and to explore its influencing factors.Methods:Sixty patients with AS who underwent consultation at Henan Provincial People's Hospital from November 2023 to May 2024 were prospectively collected as AS group，54 healthy volunteers matched for sex，age，and body mass index were collected as control group. CIT were measured using a 24 MHz ultra-high frequency ultrasound probe，hardness coefficien（HC）and pulse wave velocity（PWV）were measured by R-VQS，the differences of the parameters between the two groups were compared. The changes of carotid artery elasticity and intima thickness and their influencing factors in patients with AS were explored by univariate and multivariate linear regression analysis.Results:①C-reactiveprotein，erythrocyte sedimentation rate（ESR），neutrophil count and neutrophil to lymphocyte ratio（NLR）were elevated in the AS group compared with the control group，and the differences were statistically significant（all P < 0.05）. ②CIT，carotid intima-media thickness（CIMT），HC，PWV and epicardial adipose tissue thickness（EATT）were all increased in the AS group compared with the control group，and the differences were statistically significant（all P < 0.05）. ③Multifactorial linear regression analysis showed that EATT，ESR were the main influencing factors of HC，PWV and CIT（ β=2.192，0.031；1.792，0.002；0.097，0.001；all P＜0.05）. Conclusions:Carotid CIT，CIMT，HC，PWV and EATT are all higher in the AS patients，and ESR and EATT are the main influencing factors of HC，PWV，and CIT，suggesting that more attention should be paid to the detection of ESR and EATT in patients with AS when interventions are performed clinically.

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.