Objective:Analyze the impact of smoking on the mortality and life expectancy of residents in Tianjin in 2019.Methods:Use mortality case-control study method to collect all cause of death cases of residents in Tianjin in 2019 for analysis. After adjusting for the 5-years-old age group, education level, and marital status, the smoking attributed deaths from different diseases of different genders, smoking attributed deaths in different age groups, and their impact on life expectancy were analyzed.Results:The total number of deaths in 2019 was 75 254, with 42 201 males (56.1%). Among male deaths, 3 215 (9.9%) were attributed to smoking, of which 2 157 (50.2%) lung cancer deaths were attributed to smoking; The risk of lung cancer death among smokers was 3.075 times higher than that of non-smokers (95% CI: 2.812-3.364); Among the 33 053 female deaths (43.9%), 1 396 (5.8%) were caused by smoking, with 744 (29.1%) lung cancer deaths attributed to smoking. The age group with the highest number of deaths attributed to smoking for women was the 75-<80 years old age group, followed by the 70-<75 and 80-<85 years old age groups. The age group with the highest proportion of deaths attributed to smoking for men was the 55-<60 years old age group. In addition, smoking accounts for more than 60% of deaths in the 60-<65, 45-<50, 55-<60, and 65-<70 years old age groups. In 2019, the loss of life expectancy attributed to smoking deaths among all residents in Tianjin was 1.13 years, with a loss of 1.15 years for males and 0.57 years for females. The expected life expectancy excluding deaths caused by smoking was 82.92 years, 80.77 years for males and 84.61 years for females. Conclusions:Smoking remains one of the important risk factors for death among residents. Promoting effective measures to reduce smoking rates is an effective way to increase life expectancy.

Objective To investigate the protective effect and mechanism of apigenin on the liver of hyperlipidemic mice based on metabolomics methods.Methods C57BL/6 mice were randomly divided into four groups including blank,model,fenofibrate(26.0 mg·kg-1),and apigenin(12.5 mg·kg-1)groups,with six mice in each group.Each group was treated with corresponding drug by gavage once a day for five days.On the third day of administration,the mouse model of acute hyperlipidemia was induced by a single intramuscular injection of Triton WR-1339(5 mL·kg-1)at a concentration of 0.12 g·mL-1.Biochemical indexes such as TC and TG in mice serum were measured by using a fully automatic microplate reader.HE staining was used to observe pathological changes in liver tissue.UPLC-Q-TOF-MS/MS technology was applied to analyze liver tissue samples.Differential metabolites were screened by using multivariate statistical analysis methods such as PCA,PLS-DA,and OPLS-DA.Then we ran the mass spectrometry information of these metabolites through online databases including HMDB,METLIN and KEGG,as well as combined with relevant literature to obtain the potential differential metabolites.The identified potential differential compounds were imported into the MetaboAnalyst platform for metabolic pathway analysis.Results Compared with the blank group,TC and TG levels in mice serum of model group increased obviously(P＜0.01).Irregular arrangement of liver cells,fat vacuoles and infiltration of inflammatory cells were found.Compared with the model group,TC and TG levels in mice serum of apigenin group decreased(P＞0.05).Fatty lesions in liver tissue were significantly improved,and fat vacuoles and inflammatory cell infiltration were significantly reduced.A total of 35 differential metabolites were screened.Twenty-six differential metabolites showed callback trend after apigenin treatment.Eight metabolic pathways were obviously affected,among which pantothenate and CoA biosynthesis,as well as arachidonic acid metabolism are two main metabolic pathways(P＜0.05).Conclusion Apigenin exhibits a certain protective effect on liver of hyperlipidemic mice,and its mechanism may be related to regulating liver inflammatory response and lipid metabolism-related pathways.

Macular diseases usually lead to central vision loss, accompanied by a significant unstable fixation, resulting in disorders of fine vision, reading, and even face recognition, which seriously affect the quality of life of patients.There is no clear and effective treatment to reverse the visual impairment caused by atrophic macular diseases, yet patients with central vision loss secondary to macular diseases commonly adopt a region outside the central macular area as the surrogate fovea for vision, which is named preferred retinal locus (PRL).However, natural PRLs are not optimal in common for low-vision rehabilitation.Therefore, some patients need eccentric fixation training for PRL relocation to achieve better visual rehabilitation.Studies have shown that eccentric fixation training based on biofeedback can stabilize the natural PRL or induce a new PRL to improve low-vision rehabilitation in patients with macular diseases.So far, the development and location characteristics of PRL and the clinical applications and efficacy of training remain controversial.This review concludes the concept and features of PRL, including the characteristics and possible rationale of PRL development, the location and relocation of PRL, and the evaluation indicators of PRL relocation.Furthermore, in order to provide clinical guidance for low-vision rehabilitation of patients with central vision loss, the programs and efficacy of eccentric fixation training for low-vision rehabilitation are also reviewed.

Medical image is a powerful tool to assist doctors in the diagnosis and treatment planning.Nowadays,the segmentation of medical images is no longer limited to manual segmentation methods.Traditional methods and deep learning methods have been used to achieve more accurate results in medical image segmentation.Herein some innovative medical image segmentation methods in recent years are reviewed.By elaborating on the innovations of deep learning methods(SAM,SegNet,Mask R-CNN,and U-NET)and traditional methods(active contour model and threshold segmentation model),the differences and similarities between them are compared.The summary of medical image segmentation methods and the prospect is expected to help researchers better grasp and familiarize themselves with research status and development trend.

With the rapid development of the interdisciplinary area of artificial intelligence and medicine, large language model (LLM) has been widely used in the fields such as diagnosis and treatment, medicine, and healthcare. LLM has unique advantages in the field of traditional Chinese medicine (TCM), such as high consistency with the "Four Diagnostic Methods", perfect combination of natural language and self-supervised learning in TCM, the ability to adapt to the characteristics TCM formulas, and the assistance in TCM diagnosis and treatment. At present, various LLM models have been developed, including the "Qihuang Ask Big Model" and the Digital Traditional Chinese Medicine Big Model "GLM-130B", but they still face challenges such as value mismatch and medical abuse, increased demand for interpretability, lack of advanced technology, and domestic policy access. This article reviews the evolution of LLM, its unique advantages and applications in the field of TCM, the problems and challenges, and the future development trends, in order to providereference for the further promotion of LLM in traditional medicine.

Objective:To evaluate the effect of preemptive analgesia with ibuprofen on postoperative pain following single posterior tooth implantation, aiming to provide a clinical reference for its application.Methods:A multicenter, randomized, double-blind, placebo-controlled parallel-group trial was conducted. A total of 82 participants were included in the trial, meeting the eligibility criteria from April 2022 to April 2024 at the Capital Medical University School of Stomatology (40 cases), Beijing TianTan Hospital, Capital Medical University (22 cases), Beijing Chao-Yang Hospital, Capital Medical University (20 cases). Participants were randomly assigned in a 1∶1 ratio to either the ibuprofen group or the control group, with each group comprising 41 individuals. Participants in the ibuprofen group received 300 mg of sustained-release ibuprofen capsules orally 15 min before surgery, while the control group received a placebo. Both groups received the same postoperative analgesic regimen for 3 days. Pain scores were assessed using the numerical rating scale at 30 min, 4 h, 6 h, 8 h, 24 h, 48 h, and 72 h postoperatively, and the additional use of analgesic medication was recorded from days 4 to 6 postoperatively.Results:A total of 82 participants were initially enrolled in the study, with 7 dropouts (4 from the control group and 3 from the ibuprofen group), resulting in 75 participants (37 in the control group and 38 in the ibuprofen group) completing the trial. There were no reports of adverse events such as nausea or vomiting among the participants. The ibuprofen group exhibited significantly lower pain scores at 4 h, 6 h and 8 h [1.0 (0.0, 2.0), 1.0 (0.0, 2.0), 1.5 (0.0, 3.0) ] postoperatively compared to the control group 4 h, 6 h and 8 h [2.0 (1.0, 3.0), 3.0 (1.5, 4.0), 2.0 (1.0, 4.0)] ( Z=-1.99, P=0.047; Z=-3.01, P=0.003; Z=-2.10, P=0.036). The proportions of patients requiring additional analgesic medication between days 4 and 6 post-surgery were 18.4% (7/38) in the ibuprofen group and 27.0% (10/37) in the control group, with no significant difference (χ 2=0.79, P=0.373). The median additional medication usage postoperatively was [0.0 (0.0, 0.0) pills] in the ibuprofen group and [0.0 (0.0, 1.0) pills] in the control group, with no significant difference ( Z=-0.78, P=0.439). Conclusions:Preemptive analgesia with ibuprofen effectively reduces postoperative pain following tooth implantation, representing a safe and effective perioperative pain management strategy.

Objective:To analyze the characteristics, change of injury death spectrum in children aged 0-14 years and its urban-rural difference in Tianjin.Methods:The incidence data of injury death in children aged 0-14 years in Tianjin from 1999 to 2021 were collected from the "Population Based Mortality Surveillance System in Tianjin". We calculated constituent ratio, crude and standardized mortality rates in different subgroups of the population and major injury subtypes, and compared the rural-urban differences. The Cochran-Armitage trend test was used to analyze temporal trends in cause-of-death component ratios. Joinpoint regression model was used to calculate average annual percent change (AAPC). Seasonal difference in injury mortality risk were expressed as mortality ratio and 95% confidence interval.Results:From 1999 to 2021, injury was the third cause of death in children aged 0-14 years in Tianjin. The percentage of children who died in health-care facilities in rural area was 31.08%, which was lower than 37.82% in urban area. There was a downward trend in the standardized mortality rate of injury in children (AAPC=-5.54%, P<0.001). The standardized mortality rates of drowning and road traffic injury declined in both urban area and rural area ( P<0.001). The mortality rate of accidental poisoning decreased in rural area (AAPC=-8.09%, P<0.001), but showed no significant change trend in urban area ( P>0.05). The standardized mortality rate of suicide showed no significant change trend in urban area, but there was an increasing trend in the standardized mortality rate of suicide in rural children aged 10-14 years (AAPC=4.58%). No significant change trend was observed in mortality rate of falls in urban and rural children ( P>0.05). The injury mortality rate showed obvious seasonality in children in Tianjin. Overall injury death risk and risk for drowning-caused death were highest in summer in both urban area and rural area. The risk for road traffic injury-related death was highest in autumn in urban area and in summer in rural area. The risk for death caused by accidental poisoning was highest in winter in both urban area and rural area. Conclusions:In recent decades, the injury mortality rate in children aged 0-14 years in Tianjin showed a decreasing trend. There is still a significant difference in the injury mortality level between urban area and rural area, to which close attention needs to be paid in the future policy development.

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.