Objective:To understand the epidemiological characteristics and spatiotemporal distribution of genital herpes in China from 2010 to 2023 and provide evidence for the prevention and control of genital herpes.Methods:The reported data of genital herpes cases in 31 provinces (autonomous regions and municipalities) in China from 2010 to 2023 were collected from the National Notifiable Infectious Disease Reporting System of China Information System for Disease Control and Prevention. Software Joinpoint 5.2.0 was used to analyze the epidemiological characteristics of genital herpes, software ArcGIS 10.5 was used for spatial autocorrelation analysis, and software SaTScan 10.2.3 was used for spatiotemporal scanning analysis.Results:The reported incidence rate of genital herpes increased from 1.58/100 000 to 2.00/100 000 in China from 2010 to 2023, with an average annual percentage change of 0.90%. The upward trend of reported incidence rate was significant ( t=2.35, P=0.037). There was a positive spatial autocorrelation in the reported incidence of genital herpes with the global Moran's I ranging from 0.36 to 0.51 (all P<0.001). Local spatial autocorrelation analysis showed that the number of hotspots increased from 144 in 2010 to 232 in 2023, mainly distributed in provinces Zhejiang, Guangdong, Guangxi, Chongqing and Hunan. The number of hotspots in of Chongqing, Sichuan, Yunnan and Guizhou increased significantly from 7 to 57. A total of 67 spatiotemporal clusters were detected by spatiotemporal scanning analysis, mainly distributed in Guangdong from 2011 to 2015, in Zhejiang and Fujian from 2015 to 2019, and in Chongqing and Guizhou from 2019 to 2023. Conclusions:From 2010 to 2023, the reported incidence of genital herpes in China showed an upward trend, and there was an obvious spatiotemporal clustering of genital herpes. The distribution of hotspots was basically consistent with the distribution of spatiotemporal clustering areas, mainly distributed in the southeastern coastal area and southwestern region, and the spatiotemporal clustering areas gradually changed from the southeast coastal area to the southwest region.

Objective:To investigate and evaluate the correct cognition and influencing factors of mpox expertise among relevant Chinese clinicians and to provide a reference for prevention and control.Methods:A cross-sectional survey was conducted among clinicians in relevant departments using a structured questionnaire compiled by ourselves through a non-random network recruitment method. The content includes demography, clinical specialties, and characteristics of medical institutions, and 37 questions to evaluate the professional cognition of mpox etiology, clinical characteristics, transmission, prevention, and control. Using the modified Bloom's cutoff point to determine the correct answer is greater than or equal to 26 entitled correct cognition. A logistic regression model was used to analyze the factors influencing the correct cognition rate.Results:A total of 4 332 clinicians in 23 provinces (autonomous regions, municipality) in China were investigated by online questionnaires and 4 276 effective questionnaires were collected, with an effective rate of 98.71%. The mean age of the respondents was (39.46±9.54) years old, 61.18% were female. The overall correct cognition rate of mpox expertise was 62.04% (95% CI: 60.59%-63.50%), the correct cognition rates of mpox etiology, clinical characteristics, transmission, prevention and control were 48.25% (95% CI: 46.68%-49.82%), 78.66% (95% CI: 77.38%-79.95%), 68.56% (95% CI: 67.10%-70.02%), respectively. Multivariate logistic regression analysis showed that the relevant factors affecting the overall correct cognition of mpox expertise among Chinese clinicians included gender (female: OR=1.54, 95% CI: 1.31-1.80), region (eastern region: OR=1.46, 95% CI: 1.18-1.79; midwestern region: OR=1.24, 95% CI: 1.04-1.49), professional title (deputy senior: OR=1.43, 95% CI:1.16-1.76; senior: OR=1.72, 95% CI:1.30-2.28), the clinical field (the clinical fields of dermatology and venereal diseases: OR=1.78, 95% CI: 1.42-2.23). Conclusions:The overall correct cognition rate of mpox expertise among relevant Chinese clinicians was low. It was essential to conduct mpox knowledge training for clinicians in males, northeast regions, junior professional title and the clinical fields other than dermatology and venereal diseases to improve their correct cognition rates and epidemic prevention and control ability.

Objective:Exploring the association between Life's Crucial 9 (LC9) and the risk of thyroid dysfunction (TD), as well as its potential predictive capacity.Methods:A total of 247 600 TD-free participants from the UK Biobank were enrolled in the study. The LC9 score was divided into three CVH groups: low (0-), medium (50-), and high (80-100). Cox proportional hazards regression models were used to calculate the HRs and 95% CIs of the risk of TD with LC9 CVH status. Calculate Harrell's concordance index ( C-index), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) to evaluate the predictive ability of the LC9 score and Life's Essential 8 (LE8) score. Results:During a median follow-up of 12.3 years, 5 515, 911, and 4 869 new cases of TD, hyperthyroidism, and hypothyroidism were documented, respectively. Participants with a high LE8 CVH group had 57.00% ( HR=0.43, 95% CI: 0.38-0.49), 55.00% ( HR=0.45, 95% CI: 0.34-0.60), and 58.00% ( HR=0.42, 95% CI: 0.37-0.47) lower risk of TD, hyperthyroidism, and hypothyroidism, respectively, than those with low CVH group. Compared with the LE8 score, the improvement in C-index for the LC9 score predicted TD risk was 0.004 (95% CI: 0.001-0.007), the NRI was 0.101 (95% CI: 0.021-0.103), and the IDI was 0.001 (95% CI: 0.000-0.001). Conclusions:The better CVH status, defined by LC9, was associated with a lower risk of TD. Compared to the LE8 score, the LC9 score demonstrated a significant enhancement in both risk discrimination and reclassification capability for TD risk.

Objective:To understand the epidemiological characteristics and spatiotemporal distribution of genital herpes in China from 2010 to 2023 and provide evidence for the prevention and control of genital herpes.Methods:The reported data of genital herpes cases in 31 provinces (autonomous regions and municipalities) in China from 2010 to 2023 were collected from the National Notifiable Infectious Disease Reporting System of China Information System for Disease Control and Prevention. Software Joinpoint 5.2.0 was used to analyze the epidemiological characteristics of genital herpes, software ArcGIS 10.5 was used for spatial autocorrelation analysis, and software SaTScan 10.2.3 was used for spatiotemporal scanning analysis.Results:The reported incidence rate of genital herpes increased from 1.58/100 000 to 2.00/100 000 in China from 2010 to 2023, with an average annual percentage change of 0.90%. The upward trend of reported incidence rate was significant ( t=2.35, P=0.037). There was a positive spatial autocorrelation in the reported incidence of genital herpes with the global Moran's I ranging from 0.36 to 0.51 (all P<0.001). Local spatial autocorrelation analysis showed that the number of hotspots increased from 144 in 2010 to 232 in 2023, mainly distributed in provinces Zhejiang, Guangdong, Guangxi, Chongqing and Hunan. The number of hotspots in of Chongqing, Sichuan, Yunnan and Guizhou increased significantly from 7 to 57. A total of 67 spatiotemporal clusters were detected by spatiotemporal scanning analysis, mainly distributed in Guangdong from 2011 to 2015, in Zhejiang and Fujian from 2015 to 2019, and in Chongqing and Guizhou from 2019 to 2023. Conclusions:From 2010 to 2023, the reported incidence of genital herpes in China showed an upward trend, and there was an obvious spatiotemporal clustering of genital herpes. The distribution of hotspots was basically consistent with the distribution of spatiotemporal clustering areas, mainly distributed in the southeastern coastal area and southwestern region, and the spatiotemporal clustering areas gradually changed from the southeast coastal area to the southwest region.

Objective:To investigate and evaluate the correct cognition and influencing factors of mpox expertise among relevant Chinese clinicians and to provide a reference for prevention and control.Methods:A cross-sectional survey was conducted among clinicians in relevant departments using a structured questionnaire compiled by ourselves through a non-random network recruitment method. The content includes demography, clinical specialties, and characteristics of medical institutions, and 37 questions to evaluate the professional cognition of mpox etiology, clinical characteristics, transmission, prevention, and control. Using the modified Bloom's cutoff point to determine the correct answer is greater than or equal to 26 entitled correct cognition. A logistic regression model was used to analyze the factors influencing the correct cognition rate.Results:A total of 4 332 clinicians in 23 provinces (autonomous regions, municipality) in China were investigated by online questionnaires and 4 276 effective questionnaires were collected, with an effective rate of 98.71%. The mean age of the respondents was (39.46±9.54) years old, 61.18% were female. The overall correct cognition rate of mpox expertise was 62.04% (95% CI: 60.59%-63.50%), the correct cognition rates of mpox etiology, clinical characteristics, transmission, prevention and control were 48.25% (95% CI: 46.68%-49.82%), 78.66% (95% CI: 77.38%-79.95%), 68.56% (95% CI: 67.10%-70.02%), respectively. Multivariate logistic regression analysis showed that the relevant factors affecting the overall correct cognition of mpox expertise among Chinese clinicians included gender (female: OR=1.54, 95% CI: 1.31-1.80), region (eastern region: OR=1.46, 95% CI: 1.18-1.79; midwestern region: OR=1.24, 95% CI: 1.04-1.49), professional title (deputy senior: OR=1.43, 95% CI:1.16-1.76; senior: OR=1.72, 95% CI:1.30-2.28), the clinical field (the clinical fields of dermatology and venereal diseases: OR=1.78, 95% CI: 1.42-2.23). Conclusions:The overall correct cognition rate of mpox expertise among relevant Chinese clinicians was low. It was essential to conduct mpox knowledge training for clinicians in males, northeast regions, junior professional title and the clinical fields other than dermatology and venereal diseases to improve their correct cognition rates and epidemic prevention and control ability.

Objective:Exploring the association between Life's Crucial 9 (LC9) and the risk of thyroid dysfunction (TD), as well as its potential predictive capacity.Methods:A total of 247 600 TD-free participants from the UK Biobank were enrolled in the study. The LC9 score was divided into three CVH groups: low (0-), medium (50-), and high (80-100). Cox proportional hazards regression models were used to calculate the HRs and 95% CIs of the risk of TD with LC9 CVH status. Calculate Harrell's concordance index ( C-index), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) to evaluate the predictive ability of the LC9 score and Life's Essential 8 (LE8) score. Results:During a median follow-up of 12.3 years, 5 515, 911, and 4 869 new cases of TD, hyperthyroidism, and hypothyroidism were documented, respectively. Participants with a high LE8 CVH group had 57.00% ( HR=0.43, 95% CI: 0.38-0.49), 55.00% ( HR=0.45, 95% CI: 0.34-0.60), and 58.00% ( HR=0.42, 95% CI: 0.37-0.47) lower risk of TD, hyperthyroidism, and hypothyroidism, respectively, than those with low CVH group. Compared with the LE8 score, the improvement in C-index for the LC9 score predicted TD risk was 0.004 (95% CI: 0.001-0.007), the NRI was 0.101 (95% CI: 0.021-0.103), and the IDI was 0.001 (95% CI: 0.000-0.001). Conclusions:The better CVH status, defined by LC9, was associated with a lower risk of TD. Compared to the LE8 score, the LC9 score demonstrated a significant enhancement in both risk discrimination and reclassification capability for TD risk.

Objective: To evaluate the efficacy and safety of Jiawei Simiao powder (JWSMP) combined with celecoxib for the treatment of acute gouty arthritis by conducting a meta-analysis of randomized controlled trials (RCTs). Methods: The Chinese National Knowledge Infrastructure Databases, Chinese Scientific Journal Database, Wanfang, Cochrane Library, EMBASE, PubMed, and Web of Science databases were searched from inception until December 2023. Continuous variables were analyzed using the mean difference (MD) for analysis, and dichotomous variables were used as risk ratios. Data with similar characteristics were pooled for meta-analysis, and heterogeneity was assessed using I2. The Cochrane Handbook was used to assess the risk of bias and quality. RevMan 5.3 software was used to perform the meta-analysis. Results: Thirteen RCTs involving 1007 patients were included in the study. The quality of the included studies was low (unclear randomization processes and insufficient blinding reporting). The group receiving JWSMP combined with celecoxib showed significantly lower levels of serum uric acid (SUA, MD = −66.32, 95% confidence interval (CI): −80.97 to −51.67, P < .001), erythrocyte sedimentation rate (ESR, MD = −6.05, 95% CI: −8.29 to −3.82, P < .001), C-reactive protein (CRP, MD = −7.39, 95% CI: −11.15, −3.63, P < .001), and joint pain score (VAS score, MD = −2.14, 95% CI: −2.4 to −1.88, P < .001) compared to celecoxib alone. Additionally, the JWSMP combined group had a higher total effective rate (risk ratio = 1.22, 95% CI: 1.14 to 1.29, P < .001) and fewer adverse compared to celecoxib alone. Conclusions JWSMP combined with celecoxib is more effective than celecoxib alone in improving the total efficacy rate, alleviating joint pain, and improving SUA, ESR, and CRP levels. JWSMP also reduced the occurrence of adverse events caused by celecoxib. However, the quality of the included studies was low, highlighting the need for further high-quality research with larger sample sizes and robust methodologies, such as double-blind randomization, to confirm these findings.

Objective:Analyzing the epidemic trends and spatio-temporal distribution characteristics of condyloma acuminatum in China from 2018 to 2023.Methods:Data of condyloma acuminatum cases and incidence rate including 31 provinces (autonomous regions and municipalities) from 2018 to 2023 were collected through the National Notifiable Infectious Disease Reporting System of China Information System for Disease Control and Prevention. Incidence trend analysis was conducted using Joinpoint 4.9.1 software, and spatial autocorrelation analysis using ArcGIS 10.5 software. Spatio-temporal scanning analysis was carried out with SaTScan 10.1.2 software.Results:The incidence rate of condyloma acuminatum declined from 7.26 per 100 000 in 2018 to 7.19 per 100 000 in 2023. The average annual percent change was -0.26%, which was no statistically significant downward trend ( t=-0.26, P=0.806). A significant positive global spatial autocorrelation was observed in the county-level incidence rate across the country, with the global Moran's I ranging from 0.55 to 0.60 (all P<0.001); the Getis-Ord General test statistic Z( G) was all >1.96, indicating a high-value clustering pattern in the reported incidence rate of condyloma acuminatum. The local spatial autocorrelation analysis detected 256, 244, 246, 284, 308, and 315 hotspots each year, which were mainly located in the provinces of Zhejiang, Fujian, Guangdong, Guizhou, Yunnan and Chongqing. Spatio-temporal scanning analyses identified 76 statistically significant spatiotemporal clusters covering 25 provinces (autonomous regions and municipalities). Conclusions:From 2018 to 2023, the reported incidence rate of condyloma acuminata in China exhibited a mild decline. The distribution of hotspot areas and spatiotemporal clusters was largely consistent, primarily in the southeastern coastal and southwestern regions.

Objective:To investigate the recent epidemic trends and spatiotemporal distribution characteristics of gonorrhea in China, and to provide a reference for precise prevention and control of gonorrhea.Methods:Data on reported cases of gonorrhea in China (not including Hongkong, Macau and Taiwan regions of China) were collected from the Infectious Diseases Surveillance System of Chinese Disease Prevention and Control Information System from 2018 to 2023. The trends in reported incidence rates of gonorrhea in China were analyzed using the Joinpoint regression model. Global spatial autocorrelation analysis with the Moran's index and global G-statistic, as well as local spatial autocorrelation analysis, were employed to explore the clustering patterns and hotspot regions of gonorrhea at the county level. In the spatiotemporal scanning analysis, a Poisson distribution model was employed to identify clusters of gonorrhea cases.Results:The reported incidence rates of gonorrhea in China decreased from 9.59 per 100 000 in 2018 to 7.35 per 100 000 in 2023, with an average annual percent change of -4.9%, but this decreasing trend was not statistically significant ( P = 0.11). The reported incidence rates of gonorrhea at the county level in China exhibited a significant positive global spatial autocorrelation, with the global Moran's indices ranging from 0.39 to 0.60 (all P < 0.001) ; the Getis-Ord general G test statistic Z (G) values were all greater than 1.96, indicating a high-value clustering pattern of gonorrhea cases. The local spatial autocorrelation analysis showed that hotspot regions were predominantly distributed in southeastern coastal areas and southwestern China. A total of 70 clusters were identified through the spatiotemporal scanning analysis, and mainly located in southeastern coastal areas and southwestern China. Conclusions:In recent 6 years, the overall reported incidence rates of gonorrhea in China showed a fluctuating decline; there was a significant spatiotemporal clustering characteristic with regard to gonorrhea epidemic at the county level in China, and the hotspot regions were basically consistent with the spatiotemporal clusters, which were mainly distributed in southeastern coastal areas and southwestern China. Further investigation into the causes and precise prevention and control measures are needed.

Objective:To investigate the epidemic trends and spatiotemporal distribution characteristics of genital Chlamydia trachomatis infection in China in recent years, and to provide a reference for its precise prevention and control.Methods:Data on reported cases of genital Chlamydia trachomatis infection in China (not including Hongkong, Macau and Taiwan regions of China) were collected through the Infectious Diseases Surveillance System of Chinese Disease Prevention and Control Information System from 2018 to 2023. The trend in the incidence rate was analyzed using the Joinpoint 4.9.1 software. Global and local spatial autocorrelation analyses at the county level were conducted using the ArcGIS 10.5 software. Spatiotemporal scanning analysis was carried out with the SaTScan 10.1.2 software.Results:The reported incidence rates of genital Chlamydia trachomatis infection slightly declined from 12.66 per 100 000 in 2018 to 12.45 per 100 000 in 2023, with an average annual percent change of -1.42%, which was not statistically significant ( t = -1.14, P = 0.318). The reported incidence rates of genital Chlamydia trachomatis infection at the county level in China showed a significant positive global spatial autocorrelation, with the global Moran's indices ranging from 0.68 to 0.74 (all P < 0.001) ; the standardized statistic Z (G) values for the Getis-Ord general G were all greater than 1.96, indicating a high-value clustering pattern. Local spatial autocorrelation analysis revealed that hotspot areas were predominantly located in southern and eastern China. In the spatiotemporal scanning analysis, 38 statistically significant spatiotemporal clusters were identified, mainly distributed in southern and eastern China and consistent with the hotspot areas. Conclusions:From 2018 to 2023, the reported incidence rates of genital Chlamydia trachomatis infection showed a slight decline, and the epidemic exhibited spatiotemporal clustering characteristics in China. Targeted prevention and control measures need to be implemented in hotspot areas and spatiotemporal clusters.