Objective To analyze the spatiotemporal distribution characteristics of and trends in the disease burden of dengue fever in China from 2005 to 2024, so as to provide insights into formulation of dengue fever control strategies. Methods Data pertaining to dengue fever cases in China from 2005 to 2024 were retrieved from the Infectious Disease Reporting Information System of Chinese Center for Disease Control and Prevention, and city population, gross domestic product (GDP), GDP per capita, and consumer price index in China were captured from the China Statistical Yearbook, National Bureau of Statistics of China, the China City Statistical Yearbook, and bureaus of statistics in each city. The disability-adjusted life years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) due to dengue fever were calculated in China from 2005 to 2024. The direct and indirect economic burdens of dengue fever were estimated to calculate the total economic burden. The trends in the disease burden of dengue fever were estimated in China from 2005 to 2024 using a Joinpoint regression model with the software Joinpoint 4.9.0.0, and the average annual percent change (AAPC) and its 95% confidence interval (CI) were calculated. In addition, the DALYs rate and economic burden of dengue fever in China were subjected to global and local spatial autocorrelation analyses using the software ArcGIS 10.8. Results The gross DALYs due to dengue fever were 5 558 person-years in China from 2005 to 2024, and the DALYs of dengue fever increased from 36 person-years in 2005 to 899 person-years in 2024, with an increase of 23.97 folds. The average annual DALYs rate of dengue fever was 0.02 person-years/10⁵ in China during the 20-year study period from 2005 to 2024, and the DALYs rate peaked in 2014 (0.13 person-years/10⁵) and reduced during the COVID-19 pandemic from 2020 to 2022. YLDs were the main contributor of DALYs due to dengue fever in China from 2005 to 2024, with a total of 5 354 person-years, accounting for 96.33% (5 354 person-years/5 558 person-years) of the gross DALYs. The gross DALYs of dengue fever were 2 982 person-years among men (53.66%) and 2 575 person-years among women (46.34%) in China from 2005 to 2024, and high DALYs of dengue fever were measured among residents at ages of 15 to 30 years (1 639 person-years), 30 to 45 years (1 857 person-years), and 45 to 60 years (1 204 person-years), respectively, accounting for 84.56% (4 700 person-years/5 558 person-years) of total DALYs due to dengue fever in China. The total economic burden of dengue fever was estimated to be 612 million Yuan in China from 2005 to 2024, with an average annual economic burden of 30.584 million Yuan. The economic burden of dengue fever increased from 196 000 Yuan in 2005 to 121 million Yuan in 2024 in China, with an increase of 616.35 folds, and the per capita economic burden increased from 3 322.21 Yuan in 2005 to 4 940.01 Yuan in 2024, with an increase of 48.70%. Dengue fever cases were reported in 274 cities (counties) across 31 provinces (autonomous regions, municipalities) in China from 2005 to 2024, with relatively higher DALYs in Guangdong Province and Yunnan Province. Spatial autocorrelation analysis revealed that the disease burden of dengue fever appeared positive aggregation in Chinese cities (counties) from 2005 to 2024 (global Moran’s I = 0.045, Z = 2.24, P < 0.05), with high-high clusters mainly concentrated in the Pearl River Delta region in Guangdong Province and Xishuangbanna Dai Autonomous Prefecture and Pu’er City in Yunnan Province, and the total economic burden (global Moran’s I = 0.032, Z = 9.55, P < 0.001), per capita economic burden (global Moran’s I = 0.208, Z = 27.34, P < 0.001), and the proportion of total economic burdens in GDP in 2024 (global Moran’s I = 0.017, Z = 5.91, P < 0.001) all presented positive aggregation, with relatively higher total economic burdens mainly concentrated in Guangdong Province and Yunnan Province. Joinpoint regression analysis showed that the gross DALYs rates of dengue fever appeared an overall tendency towards a rise in China from 2005 to 2024 (AAPC = 16.24%, P = 0.029), and the DALYs rate presented an overall tendency towards a rise among both men (AAPC = 14.75%, P = 0.028) and women (AAPC = 14.93%, P = 0.037) during the study period. The per capita direct economic burden appeared an overall tendency towards a rise among dengue fever patients in China from 2005 to 2024 (AAPC = 2.16%, P = 0.012); however, there was no significant difference in the trends in the per capita indirect economic burden (AAPC = 0.46%, P = 0.470). In addition, the DALYs rate of dengue fever appeared a tendency towards a rise in 84.67% (232/274) of cities (counties) in China from 2005 to 2024, and the per capita economic burden appeared a tendency towards a rise in 85.40% (234/274) of cities (counties), while the DALYs rate and per capita economic burden of dengue fever appeared a tendency towards a rise in 77.01% (211/274) of cities (counties). Conclusions The disease burden of dengue fever significantly increased in China from 2005 to 2024. It is recommended to reinforce integrated dengue fever control in high-risk areas and among high-risk populations, and to improve the surveillance of imported dengue fever cases and vector control.

Cystic renal mass(CRM)is common in clinic,covering a variety of diseases,and the differentiation of benign and malignant CRM is crucial for treatment decisions.Imaging technologies had their own advantages for diagnosis of CRM,while new grading systems and diagnostic methods kept emerged.The definition of CRM,the application and diagnostic progresses of imaging,especially ultrasound for CRM,and the characteristics and shortcomings of existing diagnostic methods were reviewed in this article,aiming to provide reference for accurate diagnosis and treatment of CRM.

BACKGROUND:Mechanical alignment is the"gold standard"alignment technique in total knee arthroplasty,but regardless of advances in prosthetic materials and robotic-assisted navigation,mechanical alignment-total knee arthroplasty still has a patient dissatisfaction rate of about 20％.OBJECTIVE:To evaluate the early efficacy of navigation-assisted total knee arthroplasty using functional alignment.METHODS:A total of 44 consecutive cases(50 knees)that underwent computer navigation-assisted total knee arthroplasty with functional alignment from October 2019 to June 2023 were retrospectively analyzed,including 12 males(14 knees)and 32 females(36 knees).A total of 46 consecutive cases(50 knees)that underwent navigation-assisted total knee arthroplasty with mechanical axis alignment by the same surgical team during the same period were selected as controls,including 5 males(5 knees)and 41 females(45 knees).The tibial osteotomy angle,tibial plateau osteotomy amount,femoral osteotomy angle,distal femoral,posterior and anterior osteotomy amount,and joint line movement were observed in the two groups of patients.Preoperative and postoperative flexion and extension gap internal and external laxity,hip-knee-ankle angle,mechanical lateral distal femoral angle,mechanical medial proximal tibial angle,joint line convergence angle,sagittal femoral component angle,posterior tibial slope,arithmetic hip-knee-ankle angle,joint line obliquity,coronal plane alignment of the knee classification,Western Ontario and McMaster Universities Osteoarthritis Index,and Hospital for Special Surgery score and forgotten joint score were compared between the two groups.RESULTS AND CONCLUSION:(1)The intraoperative tibial plateau osteotomy angle in the functional alignment group was greater than that in the mechanical axis alignment group,and the proportion of gap imbalance(2％)was smaller than that in the mechanical axis alignment group(18％).The differences were all significant(P＜0.05).(2)The hip-knee-ankle angle,mechanical medial proximal tibial angle,arithmetic hip-knee-ankle angle,and joint line obliquity in the functional alignment group were smaller than those in the mechanical axis alignment group postoperatively,and the differences were significant(P＜0.05).(3)The most common coronal plane alignment of the knee classification before surgery was type Ⅰ(80％in the functional alignment group and 42％in the mechanical axis alignment group).(4)The proportion of joint line obliquity＜177°(44％)in the functional alignment group was greater than that in the mechanical axis alignment group(14％)postoperatively.(5)Hospital for Special Surgery score at 1 month,6 months,and last follow-up after surgery was higher in the functional alignment group than that in the mechanical axis alignment group;the differences were statistically significant(P＜0.05).The Western Ontario and McMaster Universities Osteoarthritis Index 1 month after surgery was lower in the functional alignment group than that in the mechanical axis alignment group;the difference was statistically significant(t=-2.85,P=0.005).There was no significant difference in postoperative range of motion and forgotten joint score between the two groups(P＞0.05).(6)It is indicated that navigation-assisted total knee arthroplasty using functional alignment optimizes early clinical efficacy.The functional alignment technique has advantages in restoration of constitutional alignment and joint line obliquity and avoids soft tissue release compared to mechanical alignment technique.

BACKGROUND:Mechanical alignment is the"gold standard"alignment technique in total knee arthroplasty,but regardless of advances in prosthetic materials and robotic-assisted navigation,mechanical alignment-total knee arthroplasty still has a patient dissatisfaction rate of about 20％.OBJECTIVE:To evaluate the early efficacy of navigation-assisted total knee arthroplasty using functional alignment.METHODS:A total of 44 consecutive cases(50 knees)that underwent computer navigation-assisted total knee arthroplasty with functional alignment from October 2019 to June 2023 were retrospectively analyzed,including 12 males(14 knees)and 32 females(36 knees).A total of 46 consecutive cases(50 knees)that underwent navigation-assisted total knee arthroplasty with mechanical axis alignment by the same surgical team during the same period were selected as controls,including 5 males(5 knees)and 41 females(45 knees).The tibial osteotomy angle,tibial plateau osteotomy amount,femoral osteotomy angle,distal femoral,posterior and anterior osteotomy amount,and joint line movement were observed in the two groups of patients.Preoperative and postoperative flexion and extension gap internal and external laxity,hip-knee-ankle angle,mechanical lateral distal femoral angle,mechanical medial proximal tibial angle,joint line convergence angle,sagittal femoral component angle,posterior tibial slope,arithmetic hip-knee-ankle angle,joint line obliquity,coronal plane alignment of the knee classification,Western Ontario and McMaster Universities Osteoarthritis Index,and Hospital for Special Surgery score and forgotten joint score were compared between the two groups.RESULTS AND CONCLUSION:(1)The intraoperative tibial plateau osteotomy angle in the functional alignment group was greater than that in the mechanical axis alignment group,and the proportion of gap imbalance(2％)was smaller than that in the mechanical axis alignment group(18％).The differences were all significant(P＜0.05).(2)The hip-knee-ankle angle,mechanical medial proximal tibial angle,arithmetic hip-knee-ankle angle,and joint line obliquity in the functional alignment group were smaller than those in the mechanical axis alignment group postoperatively,and the differences were significant(P＜0.05).(3)The most common coronal plane alignment of the knee classification before surgery was type Ⅰ(80％in the functional alignment group and 42％in the mechanical axis alignment group).(4)The proportion of joint line obliquity＜177°(44％)in the functional alignment group was greater than that in the mechanical axis alignment group(14％)postoperatively.(5)Hospital for Special Surgery score at 1 month,6 months,and last follow-up after surgery was higher in the functional alignment group than that in the mechanical axis alignment group;the differences were statistically significant(P＜0.05).The Western Ontario and McMaster Universities Osteoarthritis Index 1 month after surgery was lower in the functional alignment group than that in the mechanical axis alignment group;the difference was statistically significant(t=-2.85,P=0.005).There was no significant difference in postoperative range of motion and forgotten joint score between the two groups(P＞0.05).(6)It is indicated that navigation-assisted total knee arthroplasty using functional alignment optimizes early clinical efficacy.The functional alignment technique has advantages in restoration of constitutional alignment and joint line obliquity and avoids soft tissue release compared to mechanical alignment technique.

Cystic renal mass(CRM)is common in clinic,covering a variety of diseases,and the differentiation of benign and malignant CRM is crucial for treatment decisions.Imaging technologies had their own advantages for diagnosis of CRM,while new grading systems and diagnostic methods kept emerged.The definition of CRM,the application and diagnostic progresses of imaging,especially ultrasound for CRM,and the characteristics and shortcomings of existing diagnostic methods were reviewed in this article,aiming to provide reference for accurate diagnosis and treatment of CRM.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.