This paper summarizes Professor LIU Fengbin's clinical experience in treating autoimmune liver disease （AILD） using the method of nourishing yin and removing stasis based on stage differentiation. He believes that the pathogenesis of AILD generally involves both deficiency in essence and excess in manifestation， with essence deficiency often presenting as liver and kidney yin deficiency， which may progress to spleen deficiency and yang deficiency over time. The excess manifestation commonly includes qi stagnation， blood stasis， damp-heat， and phlegm toxicity. Clinically， he advocates for the treatment principle of nourishing yin and removing stasis. On the foundation of nourishing liver and kidney yin， different pathological factors causing stasis are eliminated according to their nature. Treatment is also tailored to different stages of AILD. In the early and asymptomatic stages， liver qi stagnation and spleen deficiency are prominent， warranting a therapeutic approach of soothing the liver， regulating qi and strengthening the spleen. The modified Chaishao Qizhi Decoction （柴芍气滞汤） is used. During the symptomatic stage， pathogenic factors become more pronounced， often accompanied by a significant deficiency of vital qi， with damp-heat， water retention， and phlegm toxicity as key pathological features. The treatment should focus on strengthening the spleen and dispelling dampness， using modified Sijunzi Decoction （四君子汤） combined with Yinchen Wuling Powder （茵陈五苓散）. In the liver function decompensation stage， vital qi is severely deficient while pathogenic factors persist， with damp-heat， phlegm toxicity， and blood stasis obstructing the liver collaterals. Treatment should focus on nourishing blood， softening the liver， strengthening the spleen， and resolving stasis， using the modified Ruangan Yangxue Decoction （软肝养血汤）. Throughout the treatment process， emphasis is placed on tonifying the liver and kidneys while protecting yin fluids.

Objective To establish a high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)for the simultaneous determination of gefitinib,erlotinib,nillotinib and imatinib plasma concentrations and analyze the results.Methods The plasma samples were treated with acetonitrile precipitation and separated by Diamonsil C18 column(150 mm ×4.6 mm,3.5 μm)with mobile phase of 0.1％formic acid water(A)-0.1％formic acid acetonitrile(B).The flow rate of gradient elution was 0.7 mL·min-1,and the column temperature was 40 ℃ and the injection volume was 3 μL.Using arotinib as the internal standard,the scanning was carried out by using electrospray ionization source in positive ionization mode with multi-reaction monitoring.The specificity,standard curve,lower limit of quantitation,precision,accuracy,recovery rate,matrix effect and stability of the method were investigated.The concentrations of imatinib and erlotinib in 20 patients with chronic myelogenous leukemia(CML)and gefitinib and erlotinib in 3 patients with non-small cell lung cancer were measured.Results The standard curves of the four drugs were as follows,gefitinib:y=2.536 × 10-3x+9.362 × 10-3(linear range 20-2 000 ng·mL-1,R2=0.996 6);erlotinib:y=3.575× 10-3x+7.406 × 10-3(linear range 50-5 000 ng·mL-1,R2=0.994 9);nilotinib:y=1.945 x 10-3x+0.015 643(linear range 50-5 000 ng·mL-1,R2=0.990 6);imatinib:y=4.56 x 10-3x+0.010 451(linear range 100～104 ng·mL-1,R2=0.9963).RSD of intra-day and inter-day were less than 10％,and the accuracy ranged from 90％to 110％,and the recovery rates were 91.35％to 98.93％(RSD＜10％);the matrix effect ranged from 91.64％to 107.50％(RSD＜10％).Determination of 23 patients showed that the blood concentration of nilotinib ranged from 623.76 to 2 934.13 ng·mL-1,and the blood concentration of imatinib ranged from 757.77 to 2 637.71 ng·mL-1,and the blood concentration of gefitinib ranged from 214.76 to 387.40 ng·mL-1.The serum concentration of erlotinib was 569.57 ng·mL-1.Conclusion The method of this research is simple,fast,sensitive and dedicated,which can be monitored by the concentration of clinical blood.

Objective To study the factors influencing the blood concentration of caspofungin(CPFG),construct a prediction model,and validate the predictive effect of the model,so as to provide reference for the individualised dosing of patients with fungal infections in haematology.Methods Seventy-five patients admitted to the Department of Haematology,General Hospital of Tianjin Medical University,who were treated with CPFG for antifungal therapy during the period of March 2021 to June 2022 were selected as the study subjects,and CPFG blood concentration monitoring was carried out to explore the influencing factors of CPFG blood concentration and to construct a prediction model accordingly.Hosmer-Lemeshow(H-L)was used to test the goodness-of-fit of the model,and another 30 patients were selected as the verification group,and the predictive effect of the model was verified by the receiver's operating characteristics(ROC)curve.Results The mean blood concentrations of the patients at 0.5,9 and 24 h were(12.54±4.38),(6.80±2.76),(4.13±2.16)μg·mL-1,and the mean AUC0-24h were(152.05±57.60)μg·mL-1·h.AUC0-24h was lower than the reference value(98 μg·mL-1·h)in two patients.The results of correlation analysis showed that gender showed a correlation with 0.5 h blood concentration(P＜0.05),and there was no correlation with the rest of the two time points blood concentration and AUC0-24h(P＞0.05).Body weight and albumin(Alb)concentration showed correlation with 0.5,9,24 h blood drug concentration and AUC0-24 h(P＜0.05),and the rest of the indicators showed no correlation with blood drug concentration and AUC0_24h at each time point(P＞0.05).The results of multifactorial analysis showed that the factors influencing the patients'0.5 h blood concentration were gender,Alb concentration and body weight,and the factors influencing the 9 and 24 h blood concentration and AUC0-24h were Alb concentration and body weight(P＜0.05).Correlation analysis showed that the daily dose was positively correlated with the plasma concentration of CPFG at 0.5,9 and 24 h and AUC0-24h(P＜0.05).The results of multivariate analysis showed that the daily dose was also one of the influencing factors of the plasma concentration of CPFG(P＜0.05).ROC curve shows that the model has good prediction ability.Conclusion Body weight and Alb are significantly associated with CPFG blood concentrations and area under the drug-time curve,which can be used as a basis for preventive risk avoidance.

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.

Objective:To analyze the epidemic characteristics of reported tuberculosis incidence in Kashgar from 2015 to 2022, and use the seasonal autoregressive integrated moving average (SARIMA) model to predict the incidence, providing references for the local control of pulmonary tuberculosis.Methods:The reported incidence data of tuberculosis in the Kashgar area of Xinjiang from January 2015 to August 2023 were collected through the"Infectious Disease Monitoring System", a subsystem of the "Chinese Disease Prevention and Control Information System". The epidemic characteristics of reported incidence in this area from 2015 to 2022 were analyzed. Two SARIMA models of monthly reported incidence number and rate were established. The prediction performance of the two models was evaluated using the reported incidence data of tuberculosis from January 2023 to August 2023. The χ2 test was used to analyze population characteristics, and the Cochran-Armitage trend test was used to analyze annual incidence. Results:From 2015 to 2022, 133 972 cases of pulmonary tuberculosis were reported in Kashgar, with a yearly reported incidence rate of 383.64/100 000, showing a rising trend ( TCA=77.03, P<0.001) and then a declining trend ( TCA=176.16, P<0.001). The proportion of pathogenic positive pulmonary tuberculosis had increased yearly ( TCA=132.66, P<0.001). The reported onset time was concentrated from January to June each year, with a peak in April. Yengisar County, Zepu County and Yopurga County had the highest reported incidence rate in Kashgar. The sex ratio of men to women was 1.03∶1, and the reported incidence rate of men was higher than that of women ( χ2=27.04, P<0.001). The reported incidence rate of the group aged 60 years and older was the highest. The patient′s occupation was mainly farmers (84.99%). The average relative errors of the SARIMA ( 1, 1, 2) ( 0, 1, 1) 12 model and SARIMA ( 0, 1, 1)( 0, 1, 1) 12 model in predicting the reported monthly incidence number and rate were 11.67% and -9.81%, respectively. Both models had good prediction accuracy (MAPE=33.55%, MAPE=38.22%). Conclusion:The average reported incidence rate of pulmonary tuberculosis in the Kashgar area shows a rising trend first and then a declining trend. The patients are mainly men and farmers, and attention should be paid to the prevention and control of tuberculosis among the elderly in winter and spring. The SARIMA ( 1, 1, 2) ( 0, 1, 1) 12 model and SARIMA ( 0, 1, 1)( 0, 1, 1) 12 model can fit the trend of reported tuberculosis incidence in the Kashgar area well and have good predictive performance.

Objective:To analyze the epidemic characteristics of reported tuberculosis incidence in Kashgar from 2015 to 2022, and use the seasonal autoregressive integrated moving average (SARIMA) model to predict the incidence, providing references for the local control of pulmonary tuberculosis.Methods:The reported incidence data of tuberculosis in the Kashgar area of Xinjiang from January 2015 to August 2023 were collected through the"Infectious Disease Monitoring System", a subsystem of the "Chinese Disease Prevention and Control Information System". The epidemic characteristics of reported incidence in this area from 2015 to 2022 were analyzed. Two SARIMA models of monthly reported incidence number and rate were established. The prediction performance of the two models was evaluated using the reported incidence data of tuberculosis from January 2023 to August 2023. The χ2 test was used to analyze population characteristics, and the Cochran-Armitage trend test was used to analyze annual incidence. Results:From 2015 to 2022, 133 972 cases of pulmonary tuberculosis were reported in Kashgar, with a yearly reported incidence rate of 383.64/100 000, showing a rising trend ( TCA=77.03, P<0.001) and then a declining trend ( TCA=176.16, P<0.001). The proportion of pathogenic positive pulmonary tuberculosis had increased yearly ( TCA=132.66, P<0.001). The reported onset time was concentrated from January to June each year, with a peak in April. Yengisar County, Zepu County and Yopurga County had the highest reported incidence rate in Kashgar. The sex ratio of men to women was 1.03∶1, and the reported incidence rate of men was higher than that of women ( χ2=27.04, P<0.001). The reported incidence rate of the group aged 60 years and older was the highest. The patient′s occupation was mainly farmers (84.99%). The average relative errors of the SARIMA ( 1, 1, 2) ( 0, 1, 1) 12 model and SARIMA ( 0, 1, 1)( 0, 1, 1) 12 model in predicting the reported monthly incidence number and rate were 11.67% and -9.81%, respectively. Both models had good prediction accuracy (MAPE=33.55%, MAPE=38.22%). Conclusion:The average reported incidence rate of pulmonary tuberculosis in the Kashgar area shows a rising trend first and then a declining trend. The patients are mainly men and farmers, and attention should be paid to the prevention and control of tuberculosis among the elderly in winter and spring. The SARIMA ( 1, 1, 2) ( 0, 1, 1) 12 model and SARIMA ( 0, 1, 1)( 0, 1, 1) 12 model can fit the trend of reported tuberculosis incidence in the Kashgar area well and have good predictive performance.

Deep vein thrombosis(DVT)is a common complication after surgery for lower limb fracture.It has the features of high morbidity,high disability rate and high mortality.At present,the measures for clinical prevention and treatment of post-operative DVT in lower limb fracture mainly include perioperative nursing,intervention with medical auxiliary instruments,western medicine prevention and treatment,traditional Chinese medicine(TCM)intervention,and patients'self-cooperation.The patients'self-cooperation is the basis for the smooth implementation of other measures for prevention and treatment,and the patients'active cooperation is the premise of achieving the efficacy of prevention and treatment.Perioperative nursing is helpful for the patients to understand the risk factors of postoperative DVT and the possible risks after the occurrence of DVT,guides the patients to choose the food,assists the patients to do postoperative exercises,improves the level of patients'hemorheological indexes,and reduce the incidence of postoperative DVT.Medical devices are helpful for assisting patients to do postoperative rehabilitation exercises,improving the levels of hemodynamic indicators,promoting patients'rehabilitation and reducing the incidence of postoperative DVT.Western medicines such as low molecular weight heparin,Rivaroxaban,Enoxaparin and other anticoagulant drugs can reduce the aggregation of coagulation factors and blood viscosity,and reduce the incidence of postoperative DVT.TCM interventions mainly include oral administration of Chinese medicine and external treatment such as acupuncture,moxibustion and massage.Oral administration of Chinese medicine is helpful for improving blood flow status.Acupuncture,moxibustion and massage are beneficial to the activation of the function of zang-fu organs,and can stimulate the healthy qi to improve the qi-blood state of the whole body.Each method of prevention and treatment has its advantages and disadvantages.In clinical application,reasonable prevention and treatment methods should be selected according to the specific conditions and individual conditions of the patients.TCM intervention of DVT can be performed in patients with lower limb fracture before and after surgery,and has the advantages of low cost and definite efficacy,which is worthy of continuous research and inheritance and innovation.