[Purpose]To analyze the trends of cancer incidence and mortality from 1991 to 2020 in Jiashan County of Zhejiang Province,and to predict trends from 2021 to 2035.[Methods]Cancer cases and deaths from 1991 to 2020 in Jiashan County were collected.The crude inci-dence rate and mortality rate,age-standardized rate(ASR)were calculated.The annual percentage change(APC)and average annual percentage change(AAPC)were calculated by Joinpoint model to analyze the trend of cancer incidence and mortality.The age-period-cohort model was used to predict the trends of cancer incidence and mortality from 2021 to 2035 and the estimated annual percentage change(EAPC)was calculated.[Results]The age-standardized incidence rates by Chinese standard population(ASIRC)in Jiashan were 159.06/105,187.25/105,and 254.37/105 during 1991-2000,2001-2010,and 2011-2020,respectively.The trends in young and middle-aged women and people above 65 years old were more predominant.Lung,stomach,colorectal,liver and female breast cancers were major incident cancers for the period from 1991 to 2020.The cancer incidence showed an increasing trend from 1991 to 2020(AAPC=2.17％,P＜0.05)and is expect-ed to continue to increase over 2021 to 2035(EAPC=3.03％,P＜0.05).The age-standardized mor-tality rates by Chinese standard population(ASMRC)in Jiashan were 119.74/105,117.79/105,and 100.11/105 during 1991-2000,2001-2010,and 2011-2020,respectively.Lung,liver,stomach,colorectal,esophageal,and pancreatic cancers were leading causes of cancer deaths from 1991 to 2020.The cancer mortality showed a decreasing trend from 1991 to 2020(AAPC=-1.00％,P＜0.05)and is expected to continue to decline over 2021 to 2035(EAPC=-1.67％,P＜0.05).[Conclusion]The mortality rate from cancers has been gradually declined in Jiashan County,while the incidence rate has increased significantly and will continue to increase in the next 15 years.High incidence of lung cancer,liver cancer,gastric cancer and colorectal cancer makes it crucial to pay close attention to key groups and strengthen the control of risk factors of high inci-dence cancer.

[Purpose]To analyze the trends of cancer incidence and mortality from 1991 to 2020 in Jiashan County of Zhejiang Province,and to predict trends from 2021 to 2035.[Methods]Cancer cases and deaths from 1991 to 2020 in Jiashan County were collected.The crude inci-dence rate and mortality rate,age-standardized rate(ASR)were calculated.The annual percentage change(APC)and average annual percentage change(AAPC)were calculated by Joinpoint model to analyze the trend of cancer incidence and mortality.The age-period-cohort model was used to predict the trends of cancer incidence and mortality from 2021 to 2035 and the estimated annual percentage change(EAPC)was calculated.[Results]The age-standardized incidence rates by Chinese standard population(ASIRC)in Jiashan were 159.06/105,187.25/105,and 254.37/105 during 1991-2000,2001-2010,and 2011-2020,respectively.The trends in young and middle-aged women and people above 65 years old were more predominant.Lung,stomach,colorectal,liver and female breast cancers were major incident cancers for the period from 1991 to 2020.The cancer incidence showed an increasing trend from 1991 to 2020(AAPC=2.17％,P＜0.05)and is expect-ed to continue to increase over 2021 to 2035(EAPC=3.03％,P＜0.05).The age-standardized mor-tality rates by Chinese standard population(ASMRC)in Jiashan were 119.74/105,117.79/105,and 100.11/105 during 1991-2000,2001-2010,and 2011-2020,respectively.Lung,liver,stomach,colorectal,esophageal,and pancreatic cancers were leading causes of cancer deaths from 1991 to 2020.The cancer mortality showed a decreasing trend from 1991 to 2020(AAPC=-1.00％,P＜0.05)and is expected to continue to decline over 2021 to 2035(EAPC=-1.67％,P＜0.05).[Conclusion]The mortality rate from cancers has been gradually declined in Jiashan County,while the incidence rate has increased significantly and will continue to increase in the next 15 years.High incidence of lung cancer,liver cancer,gastric cancer and colorectal cancer makes it crucial to pay close attention to key groups and strengthen the control of risk factors of high inci-dence cancer.

Objective To evaluate the status quo of organizational commitment and job burnout of male nurses in Nanjing Municipal hospitals,and to analyze the effect of organizational commitment on job burnout.Methods A total of 349 male nurses working in the hospitals of various districts in Nanjing city from March to August 2022 were selected.The general demographic data questionnaire,Chinese version of nurses'job burnout questionnaire and organizational commitment scale of Chinese workers were used to conduct a ques-tionnaire survey.The Pearson correlation was used to analyze the relationship between organizational commit-ment and job burnout.Results The scores of three dimensions of job burnout in the Chinese version of Maslach job burnout scale were at a high level,which was significantly higher than that in the norm(P＜0.05);the score of various dimensions in the organizational commitment of Chinese workers scale also were in the higher level.The emotional exhaustion and depersonalization of male nurses were negatively correlated with the total scores of emotional commitment,normative commitment,ideal commitment and organizational commitment(P＜0.001),and significantly positively correlated with the opportunity commitment(P＜0.05).The low personal accomplishment sense of male nurses was negatively correlated with emotional com-mitment and opportunity commitment(P＜0.001),and positively correlated with the total scores of norma-tive commitment,ideal commitment and organizational commitment(P＜0.001).Conclusion The job burn-out of male nurses in Nanjing area is at a high level,and the organizational commitment is at a high level.It is necessary to give special attention to male nurses with professional identity and low job satisfaction in order to reduce the occurrence of job burnout.

Objective This study aimed to examine and propagate the medication experience and group formula of traditional Chinese medicine (TCM) Master XIONG Jibo in diagnosing and treating arthralgia syndrome (AS) through data mining. Methods Data of outpatient cases of Professor XIONG Jibo were collected from January 1, 2014 to December 31, 2018, along with cases recorded in A Real Famous Traditional Chinese Medicine Doctor: XIONG Jibo's Clinical Medical Record 1, which was published in December 2019. The five variables collected from the patients’ data were TCM diagnostic information, TCM and western medicine diagnoses, syndrome, treatment, and prescription. A database was established for the collected data with Excel. Using the Python environment, a customized modified natural language processing (NLP) model for the diagnosis and treatment of AS by Professor XIONG Jibo was established to preprocess the data and to analyze the word cloud. Frequency analysis, association rule analysis, cluster analysis, and visual analysis of AS cases were performed based on the Traditional Chinese Medicine Inheritance Computing Platform (V3.0) and RStudio (V4.0.3). Results A total of 610 medical records of Professor XIONG Jibo were collected from the case database. A total of 103 medical records were included after data screening criteria, which comprised 187 times (45 kinds) of prescriptions and 1 506 times (125 kinds) of Chinese herbs. The main related meridians were the liver, spleen, and kidney meridians. The properties of Chinese herbs used most were mainly warm, flat, and cold, while the flavors of herbs were mainly bitter, pungent, and sweet. The main patterns of AS included the damp heat, phlegm stasis, and neck arthralgia. The most commonly used herbs for AS were Chuanniuxi (Cyathulae Radix), Huangbo (Phellodendri Chinensis Cortex), Cangzhu (Atractylodis Rhizoma), Qinjiao (Gentianae Macrophyllae Radix), Gancao (Glycyrrhizae Radix et Rhizoma), Huangqi (Astragali Radix), and Chuanxiong (Chuanxiong Rhizoma). The most common effect of the herbs was “promoting blood circulation and removing blood stasis”, followed by “supplementing deficiency (Qi supplementing, blood supplementing, and Yang supplementing)”, and “dispelling wind and dampness”. The data were analyzed with the support ≥ 15% and confidence = 100%, and after de-duplication, five second-order association rules, 39 third-order association rules, 39 fourth-order association rules, and two fifth-order association rules were identified. The top-ranking association rules of each were “Cangzhu (Atractylodis Rhizoma) → Huangbo (Phellodendri Chinensis Cortex)” “Cangzhu (Atractylodis Rhizoma) + Chuanniuxi (Cyathulae Radix) → Huangbo (Phellodendri Chinensis Cortex)” “Chuanniuxi (Cyathulae Radix) + Danggui (Angelicae Sinensis Radix) + Gancao (Glycyrrhizae Radix et Rhizoma) → Qinjiao (Gentianae Macrophyllae Radix)” and “Chuanniuxi (Cyathulae Radix) + Danggui (Angelicae Sinensis Radix) +Gancao (Glycyrrhizae Radix et Rhizoma) + Huangbo (Phellodendri Chinensis Cortex) → Qinjiao (Gentianae Macrophyllae Radix)”, respectively. Five clusters were obtained using cluster analysis of the top 30 herbs. The herbs were mainly drying dampness, supplementing Qi, and promoting blood circulation. The main prescriptions of AS were Ermiao San (二妙散), Gegen Jianghuang San (葛根姜黄散), and Huangqi Chongteng Yin (黄芪虫藤饮). The herbs of core prescription included Cangzhu (Atractylodis Rhizoma), Chuanniuxi (Cyathulae Radix), Gancao (Glycyrrhizae Radix et Rhizoma), Huangbo (Phellodendri Chinensis Cortex), Mugua (Chaenomelis Fructus), Qinjiao (Gentianae Macrophyllae Radix), Danggui (Angelicae Sinensis Radix), and Yiyiren (Coicis Semen). Conclusion Clearing heat and dampness, relieving collaterals and pain, and invigorating Qi and blood are the most commonly used therapies for the treatment of AS by Professor XIONG Jibo. Additionally, customized NLP model could improve the efficiency of data mining in TCM.

Objective To understand the pathogen distribution situation among the children inpatients with hand ,foot and mouth diseases(HFMD) in Guiyang area during 2012 to provide the basis for the diagnosis ,treatment and prevention .Methods The data in 3 179 cases of HFMD were collected .The fluorescence quantitative RT‐PCR was adopted to perform the genotyping on universal enterovirus ,enterovirus 71(EV71)and Coxsackie virus A16(CA16) .Results A total 3 179 samples of HFMD were col‐lected ,among them ,151 cases (4 .75% ) were CA16 positive ,331 cases (10 .41% ) were EV71 positive ,7 cases (0 .22% ) were CA16 and EV71 co‐infection ,and 897 cases(28 .22% )were the other enterovirus .The whole year had 2 peaks of onset ,which were April to July and October to November .The onset age focused on the children aged under 5 years old (96 .16% ) ,among them ,0-3 years old had the highest onset ,moreover male children were more than female .Conclusion The etiology distribution of children HFMD in Guiyang area during 201 was dominated by the other genotypes of enterovirus and EV71 .

Objective To study the distribution of genotypes of hepatitis C virus in Guizhou and its relationship between infec-tious route of genotype and age ,gender was analyzed .Methods Serum specimens in this study were obtained from 198 patients , whose anti-HCV and HCV RNA were positive .A reverse transcriptase PCR(RT nested-PCR)assay using conserved primers de-duced from the core-envelope 1(C-E1)region of the hepatitis C virus(HCV)genome was employed to amplify a 474-nucleotide-long fragment .Phylogenetic analysis of the C-E1 sequences was conducted by direct sequencing of the RT-PCR products and alignment with published HCV subtypes in GenBank .Subtypes of the samples were determined by nucleotide sequencing followed by composi-tion of a phylogenetic tree .Results Among the 198 patients surveyed ,genotype 1a was detected in 4 cases(2 .0% ) ,genotype 1b in 71 cases(35 .9% ) ,genotype 2a in 9 cases(4 .6% ) ,genotype 3a in 29 cases(14 .7% ) ,genotype 3b in 47 cases(23 .7% ) ,genotype 6 a in 37 cases(18 .7% )and genotype 6d in 1 cases(0 .5% ) .Genotype distribution on gender had no statistical significance(P>0 .05) , and its distribution on people with different ages had statistical significance(P<0 .05) ,and its distribution on patients with different infectious routes was significantly different(P<0 .05) .Conclusion The major genotypes of HCV are 1b ,3b ,6a and 3a in Guizhou , and genotype 1a is predominant .Genotypes 1a ,2a and 6d exist too .Genotypes of patients infected with HCV are related to their in-fectious routes ,and the HCV genotypes are in a great variety .

This is a report of 3 cases of parkinsonism with long term administration of lamivudine. The clinic features were mask like faces, shuffling gait, lethargy and reduced automatic movement. After stopping use of lamivudine and treatment of anticholingeric drugs, the symptoms and signs of all cases were ameliorated. The possibilities of Wilson’s disease and other secondary parkinsonisms were excluded. The parkinsonism was attributed to complications from lamivudine. Lamivudine associated parkinsonism has not been reported previously in the medical literature.