Objective To study the spatial distribution of the incidence of pulmonary tuberculosis in Hubei Province and its influencing factors, so as to improve the theoretical basis for scientific development of tuberculosis prevention and control measures in the future. Methods The data of reported incidence of tuberculosis and related influencing factors in various counties and districts of Hubei Province in 2020 were collected. Global Moran's I index, hotspot analysis and geographically weighted regression (GWR) model analysis were used to calculate the spatial autocorrelation of the incidence of tuberculosis, and to analyze the influencing factors affecting the incidence rate of tuberculosis. Results There were obvious regional differences in the space distribution of the incidence rate of tuberculosis. Hot spot analysis showed positive spatial correlation and obvious clustering. The GWR model (AICc=784.251) in this study had higher AICc value compared to the ordinary least squares regression (OLS) model (AICc=804.2585). The GWR model showed that the increase in the proportion of the population aged 65 and above and the proportion of the ethnic minority population had a significant promoting effect on the increase of the incidence rate of tuberculosis, and there was significant spatial heterogeneity. The effect of PM_2.5 concentration on the incidence rate of pulmonary tuberculosis varied in different regions, and the degree of effect was also different. Conclusion The proportion of people aged 65 and above and the proportion of ethnic minorities may significantly influence the incidence of pulmonary tuberculosis. The effect of PM_2.5 concentration varies in different regions, so targeted measures should be formulated according to the situation in different regions.

Objective To study the spatial distribution of the incidence of pulmonary tuberculosis in Hubei Province and its influencing factors, so as to improve the theoretical basis for scientific development of tuberculosis prevention and control measures in the future. Methods The data of reported incidence of tuberculosis and related influencing factors in various counties and districts of Hubei Province in 2020 were collected. Global Moran's I index, hotspot analysis and geographically weighted regression (GWR) model analysis were used to calculate the spatial autocorrelation of the incidence of tuberculosis, and to analyze the influencing factors affecting the incidence rate of tuberculosis. Results There were obvious regional differences in the space distribution of the incidence rate of tuberculosis. Hot spot analysis showed positive spatial correlation and obvious clustering. The GWR model (AICc=784.251) in this study had higher AICc value compared to the ordinary least squares regression (OLS) model (AICc=804.2585). The GWR model showed that the increase in the proportion of the population aged 65 and above and the proportion of the ethnic minority population had a significant promoting effect on the increase of the incidence rate of tuberculosis, and there was significant spatial heterogeneity. The effect of PM_2.5 concentration on the incidence rate of pulmonary tuberculosis varied in different regions, and the degree of effect was also different. Conclusion The proportion of people aged 65 and above and the proportion of ethnic minorities may significantly influence the incidence of pulmonary tuberculosis. The effect of PM_2.5 concentration varies in different regions, so targeted measures should be formulated according to the situation in different regions.

Objective To retrospectively analyze the prevention and control effect and epidemic characteristics of elderly tuberculosis in Hubei Province from 2016 to 2020, and to provide a scientific basis for the prevention and treatment of elderly tuberculosis in Hubei Province． Methods The data on tuberculosis patients aged 60 and above who registered their current address in Hubei Province from 2016 to 2020 were collected and analyzed. The registration rates and composition ratios were analyzed using χ² test and χ² test for trend. Results A total of 135 976 tuberculosis patients were reported in Hubei from 2016 to 2020. The annual average registration rate of elderly tuberculosis among the elderly registered residence population (referring to the registration rate of elderly registered residence population aged 60 and above as the denominator, and tuberculosis patients aged 60 and above as the numerator) was 263.51/100 000. The highest rate was 300.02/100,000 in 2017, and the lowest was 188.19/100,000 in 2020 (χ²=70,227.603, P<0.001). In terms of composition, the average annual proportion of tuberculosis patients in the 60-70 years old group was 59.60%, which decreased year by year (χ²_trend=40.448，P<0.001 ). The average annual proportion of males was 73.35%, which was significantly higher than that of females (26.65%). The average annual proportion of farmers was 62.03%. From the perspective of case management, the annual average proportion of major epidemic online reports was 85.17%. The classification of cases was mainly based on clinical diagnosis, accounting for 48.33% annually and showing a decreasing trend year by year (χ²_trend=740.911, P<0.001). The proportion of confirmed cases was 25.08%, which showed an increasing trend (χ²_trend=380.557, P<0.001). From 2016 to 2019, the delay rate of diagnosis and treatment of elder tuberculosis patients was 49.42% (67 876/135 967), and the delay rate decreased year by year (χ²_trend=323.764, P<0.001). Conclusion The elderly population with pulmonary tuberculosis in Hubei Province shows a downward trend. It is necessary to focus on the efforts of designated hospitals to proactively identify cases, increase the proportion of confirmed cases, maintain a high tracking in place, reduce medical delays, and ensure the effectiveness of tuberculosis prevention and treatment for the elderly.

Objective:To compare the clinical data and peripheral blood levels of CXC chemokine ligand (CXCL) 9 and CXCL10 between patients with progressive non-segmental vitiligo who were sensitive to systemic glucocorticoid treatment and those who were resistant, and to clarify key clinical factors influencing the sensitivity to systemic glucocorticoid treatment.Methods:From May 2021 to May 2023, a cohort of patients with progressive non-segmental vitiligo receiving systemic glucocorticoid treatment was established in Huashan Hospital, Fudan University. Clinical data and peripheral blood samples were prospectively collected from all enrolled patients. Standard treatment, i.e., intramuscular injections of 1 ml of compound betamethasone once a month, was administered. After 3-month treatment, the improvement of patients′ skin lesions was estimated, and the vitiligo area and severity index (VASI) score and the Vitiligo European Task Force assessment tool (VETFa) were used to evaluate the efficacy. Patients with VASI changes ≥ 0 and VETFa progression scores ≤ 0 point were included in the glucocorticoid-sensitive group (i.e., the patients′ condition was stable or improved), otherwise those with VASI changes < 0 and VETFa progression scores of 1 point were included in the glucocorticoid-resistant group. Associations of lesion locations, specific clinical markers (trichrome lesions, confetti-like depigmentation, and Koebner phenomenon), previous medication history, family history of vitiligo, etc. with the response to systemic glucocorticoid treatment were analyzed. At baseline and after 3-month treatment, peripheral blood samples were collected from the patients, and enzyme-linked immunosorbent assay was performed to detect the plasma levels of CXCL9 and CXCL10. Statistical analysis was carried out by using the chi-square test, Fisher′s exact test, binary logistic regression analysis, Mann-Whitney U test, and Wilcoxon signed-rank test. Results:A total of 142 patients with vitiligo were enrolled, and 127 completed 3-month treatment, including 77 males and 50 females. Their age at diagnosis was 18 to 65 (36.6 ± 11.4) years, and the disease duration ranged from 2 months to 58 (13.5 ± 10.7) years; 25 (19.7%) had a family history of vitiligo; the percentage of lesion area to total body surface area before treatment ranged from 1% to 70% (11.5% ± 12.7%), and the VASI score was 1% to 70% (10.8% ± 11.6%). Multivariate logistic regression analysis showed that the absence of specific clinical markers (odds ratio [ OR] = 6.900, 95% confidence interval [ CI]: 1.228, 38.757, P = 0.028), carrying a single specific clinical marker ( OR = 2.579, 95% CI: 1.012, 6.574, P = 0.047), having a history of topical glucocorticoid treatment ( OR = 2.643, 95% CI: 1.019, 6.850, P = 0.041), the absence of family history of vitiligo ( OR = 5.090, 95% CI: 1.070, 24.215, P = 0.030), and lesions on the proximal extremities ( OR = 3.767, 95% CI: 1.315, 10.793, P = 0.037) were risk factors for the resistance to systemic glucocorticoid treatment in the patients with vitiligo. After 3-month treatment, the glucocorticoid-sensitive group showed a significant decrease in plasma CXCL10 levels compared with those before treatment ( W = 571.00, P < 0.001), while there was no significant difference between the pre- and post-treatment CXCL10 levels in the glucocorticoid-resistant group ( W = 48.00, P = 0.524). Additionally, no significant difference was observed in changes of the plasma CXCL9 level before and after treatment between the glucocorticoid-sensitive and glucocorticoid-resistant groups ( P > 0.05) . Conclusions:Carrying no or a single specific clinical marker, having a history of topical glucocorticoid treatment, the absence of family history of vitiligo, and lesions on the proximal extremities appeared to be risk factors for the resistance to systemic glucocorticoid treatment in patients with progressive non-segmental vitiligo. Changes in CXCL10 levels after treatment may be used as an important evaluation indicator for determining whether patients with progressive vitiligo were resistant to systemic glucocorticoid treatment.

Objective:Survival analysis of cancers' incidence data in Tianjin from 2010 to 2016 was conducted to provide the basis for formulating and evaluating regional health policies on cancer prevention and treatment.Methods:Registration data in Tianjin were used between January 1, 2010 to December 31, 2016 and patients were followed-up till 31 December, 2021. Life-table method was used to calculate the observed survival rate and Edered Ⅱ was used to calculate the relative survival rate. The data were stratified by year, gender, age group and cancer sites. Difference in survival curves between group was analyzed by Kaplan-Meier method and Log rank test. Joinpoint regression model was used to analyze the trend change.Results:The 5-year relative survival rates of cancer were 41.92% to 53.65% from 2010 to 2016 for residents in Tianjin, with an increasing trend ( t=4.81 ,P=0.005), and the average was 48.56%. The survival rate of females was higher than that of males (57.71%vs. 39.20%), and the survival rate of urban residents was higher than that of rural residents (49.38% vs. 47.24%). The 5-year relative survival rates were 63.14%, 78.39%, 58.25% and 32.67% in 0-14, 15-44, 45-64 and 65 and above age groups, respectively. The median relative survival times of all cancer were 2.34 to 6.00 years from 2010 to 2016 in Tianjin, with an increasing trend ( t=3.86, P=0.012). The average of median relative survival times was 4.11 years. The median survival time of females was longer than that of males (11.99 years vs. 2.03 years), and the time of urban residents were longer than that of rural residents (4.60 years vs. 3.43 years). The median relative survival time were 12.07, 11.92 and 1.34 years in 15-44, 45-64 and 65 and above age groups, respectively. Conclusions:The cumulative survival rate of cancer increased significantly from 2010 to 2016 in Tianjin, indicating that the prevention and treatment effect of cancer is obvious. The focus should be on male, rural areas, higher age group, and targeted prevention and treatment measures should be taken to lung, esophagus, liver, gallbladder and pancreatic cancer.

Objective:To explore the trends and distribution of liver cancer between sexes, ages, and urban-rural areas in Tianjin, China from 1999 to 2021, and provide data for targeted prevention and control strategies of liver cancer in Tianjin.Methods:Liver cancer mortality data of Tianjin during 1999-2021 were from the Tianjin population based mortality surveillance system maintained by the Tianjin Centers for Disease Control and Prevention (CDC), and the population data of permanent Tianjin residents were from Tianjin Municipal Public Security Bureau. Liver cancer mortality, years of life lost (YLL), years lived with disability (YLD), and disability adjusted life years (DALY) were calculated using the cause of death surveillance data collected by Tianjin Centers for Disease Control and Prevention. The distributions of these data among residents of different sexes, ages, and regions were analyzed. Segi's world standard population was used for standardization. Joinpoint regression was used for trend analysis on the mortality rate of liver cancer and the disease burden.Results:The liver cancer mortality rate in Tianjin decreased by 46.75% from 1999 to 2021, with distinct phased characteristics. From 1999 to 2010, the age-sex-standardized mortality rate (SMR) decreased from 12.62/100 000 to 11.64/100 000 with an annual percent change (APC) of -1.32% ( P=0.003). From 2010 to 2021, the SMR decreased from 11.64/100 000 to 6.72/100 000 (APC=-3.89%, P＜0.001). The age-sex-standardized DALY rates(SDR) decreased by 50.63% from 1999 to 2021, also with distinct phased characteristics. From 1999 to 2010, the SDR decreased from 388.67/100 000 to 349.38/100 000 (APC=-1.35%, P=0.002). From 2010 to 2021, the SDR decreased from 349.38/100 000 to 191.88/100 000 (APC=-4.43%, P＜0.001). The liver cancer mortality rate declined most rapidly in the age group under 45 years; the APC for those under 35 years was -5.07% ( P＜0.001), and for those aged 35-44 years, the APC was 0.63% ( P=0.707) and -8.21% ( P＜0.001) before and after 2007, respectively. Both SMR and SDR were significantly higher in males than in females ( P＜0.01). Both SMR and SDR were significantly higher in urban areas than in rural areas from 1999 to 2007 ( P＜0.05), but they became similar after 2008. Liver cancer DALY are predominantly YLL, accounting for 99%. The median age of liver cancer deaths in Tianjin during 1999-2021 was 64-68 years old, with males lower than females ( P＜0.05), and rural areas lower than urban areas ( P＜0.05), generally showing an increasing trend (1999-2014: APC=0.11%, P=0.047; 2014-2021: APC=0.51%, P=0.005). Conclusions:Liver cancer mortality rate and disease burden decreased from 1999 to 2021 in Tianjin, with an especially accelerated decline after 2010. Further efforts to reduce liver cancer mortality in Tianjin are needed, and special attention should be focused on the elderly, male, and rural residents.

Objective:Survival analysis of cancers' incidence data in Tianjin from 2010 to 2016 was conducted to provide the basis for formulating and evaluating regional health policies on cancer prevention and treatment.Methods:Registration data in Tianjin were used between January 1, 2010 to December 31, 2016 and patients were followed-up till 31 December, 2021. Life-table method was used to calculate the observed survival rate and Edered Ⅱ was used to calculate the relative survival rate. The data were stratified by year, gender, age group and cancer sites. Difference in survival curves between group was analyzed by Kaplan-Meier method and Log rank test. Joinpoint regression model was used to analyze the trend change.Results:The 5-year relative survival rates of cancer were 41.92% to 53.65% from 2010 to 2016 for residents in Tianjin, with an increasing trend ( t=4.81 ,P=0.005), and the average was 48.56%. The survival rate of females was higher than that of males (57.71%vs. 39.20%), and the survival rate of urban residents was higher than that of rural residents (49.38% vs. 47.24%). The 5-year relative survival rates were 63.14%, 78.39%, 58.25% and 32.67% in 0-14, 15-44, 45-64 and 65 and above age groups, respectively. The median relative survival times of all cancer were 2.34 to 6.00 years from 2010 to 2016 in Tianjin, with an increasing trend ( t=3.86, P=0.012). The average of median relative survival times was 4.11 years. The median survival time of females was longer than that of males (11.99 years vs. 2.03 years), and the time of urban residents were longer than that of rural residents (4.60 years vs. 3.43 years). The median relative survival time were 12.07, 11.92 and 1.34 years in 15-44, 45-64 and 65 and above age groups, respectively. Conclusions:The cumulative survival rate of cancer increased significantly from 2010 to 2016 in Tianjin, indicating that the prevention and treatment effect of cancer is obvious. The focus should be on male, rural areas, higher age group, and targeted prevention and treatment measures should be taken to lung, esophagus, liver, gallbladder and pancreatic cancer.

Objective:To explore the trends and distribution of liver cancer between sexes, ages, and urban-rural areas in Tianjin, China from 1999 to 2021, and provide data for targeted prevention and control strategies of liver cancer in Tianjin.Methods:Liver cancer mortality data of Tianjin during 1999-2021 were from the Tianjin population based mortality surveillance system maintained by the Tianjin Centers for Disease Control and Prevention (CDC), and the population data of permanent Tianjin residents were from Tianjin Municipal Public Security Bureau. Liver cancer mortality, years of life lost (YLL), years lived with disability (YLD), and disability adjusted life years (DALY) were calculated using the cause of death surveillance data collected by Tianjin Centers for Disease Control and Prevention. The distributions of these data among residents of different sexes, ages, and regions were analyzed. Segi's world standard population was used for standardization. Joinpoint regression was used for trend analysis on the mortality rate of liver cancer and the disease burden.Results:The liver cancer mortality rate in Tianjin decreased by 46.75% from 1999 to 2021, with distinct phased characteristics. From 1999 to 2010, the age-sex-standardized mortality rate (SMR) decreased from 12.62/100 000 to 11.64/100 000 with an annual percent change (APC) of -1.32% ( P=0.003). From 2010 to 2021, the SMR decreased from 11.64/100 000 to 6.72/100 000 (APC=-3.89%, P＜0.001). The age-sex-standardized DALY rates(SDR) decreased by 50.63% from 1999 to 2021, also with distinct phased characteristics. From 1999 to 2010, the SDR decreased from 388.67/100 000 to 349.38/100 000 (APC=-1.35%, P=0.002). From 2010 to 2021, the SDR decreased from 349.38/100 000 to 191.88/100 000 (APC=-4.43%, P＜0.001). The liver cancer mortality rate declined most rapidly in the age group under 45 years; the APC for those under 35 years was -5.07% ( P＜0.001), and for those aged 35-44 years, the APC was 0.63% ( P=0.707) and -8.21% ( P＜0.001) before and after 2007, respectively. Both SMR and SDR were significantly higher in males than in females ( P＜0.01). Both SMR and SDR were significantly higher in urban areas than in rural areas from 1999 to 2007 ( P＜0.05), but they became similar after 2008. Liver cancer DALY are predominantly YLL, accounting for 99%. The median age of liver cancer deaths in Tianjin during 1999-2021 was 64-68 years old, with males lower than females ( P＜0.05), and rural areas lower than urban areas ( P＜0.05), generally showing an increasing trend (1999-2014: APC=0.11%, P=0.047; 2014-2021: APC=0.51%, P=0.005). Conclusions:Liver cancer mortality rate and disease burden decreased from 1999 to 2021 in Tianjin, with an especially accelerated decline after 2010. Further efforts to reduce liver cancer mortality in Tianjin are needed, and special attention should be focused on the elderly, male, and rural residents.

Purpose/Significance The paper systematically reviews and analyzes the development,cutting-edge applications,chal-lenges and alignment issues of large language models(LLMs)in healthcare,so as to provide references for promoting the safe,effective and equitable application.Method/Process Through literature analysis,the development and application of LLMs in healthcare are ex-pounded,the challenges faced are analyzed,and countermeasures are proposed from the technical and social aspects.Result/Conclu-sion LLMs in healthcare should prioritize truthfulness,safety,interpretability,fairness,privacy and accountability to realize model align-ment,meet ethical requirements,and improve patients'welfare.

Objective:To establish standard spatial brain template and ROIs template of 11C-methyl- N-2β-carbomethoxy-3β-(4-fluorophenyl)tropane (CFT) PET images for automated quantitative analysis of dopamine transporter (DAT) distribution. Methods:From May 2014 to December 2015, 11C-CFT PET and MRI T 1 brain images of 16 healthy volunteers (3 males, 13 females; age (63.3±6.9) years) from Huashan Hospital, Fudan University were co-registered and smoothed using statistical parametric mapping(SPM)5 software based on MATLAB to create a standard spatial brain template. The ROIs template was established by ScAnVp procedures. These templates were clinically verified by using 11C-CFT PET images of 37 healthy volunteers (23 males, 14 females; age (61.7±7.1) years), 32 Parkinson′s disease (PD) patients (20 males, 12 females; age (61.1±5.4) years), 10 multiple system atrophy with predominant parkinsonism (MSA-P) patients (7 males, 3 females; age (60.8±7.1) years) and 10 progressive supranuclear palsy (PSP) patients (5 males, 5 females; age (58.4±6.1) years) from Huashan Hospital, Fudan University between January 2014 and March 2019. One-way analysis of variance was used to analyze data. Results:Based on the 11C-CFT PET images and MRI T 1 images of healthy volunteers, a standard spatial brain template for normalization of 11C-CFT PET images was created. The ROIs template was established including seven regions: bilateral caudate, anterior putamen, posterior putamen (along the long axis) and the occipital cortex. The ROIs template was accurately aligned in each verification group. The normal reference values of semi-quantitative DAT distribution in caudate, anterior putamen and posterior putamen were obtained (1.84±0.13, 2.18±0.16, 1.77±0.11). The semi-quantitative values of 11C-CFT uptake in each ROI in patients were significantly lower than those in healthy volunteers ( F values: 49.79-283.83, all P<0.05). Conclusion:The established brain templates with accurate spatial alignment for 11C-CFT image analysis can provide foundational tools for the application of 11C-CFT PET imaging in clinical practice and scientific research.