1.Research on the clinical medical humanities teaching system from the perspective of medical-literature integration
Yinhua ZHOU ; Yu CHENG ; Changjie CUI ; Xiaohui TIAN ; Longwen FU ; Chan FANG ; Xiaoxing LIAO ; Qikun CHEN
Chinese Medical Ethics 2024;37(7):860-866
Aiming at the current situation of insufficient integration of medical humanities teaching and clinical practice,as well as the need for further research and improvement in the teaching system,guided by the concept of medicine and humanistic literacy integration advocated by the new medical science,this paper deeply discussed the construction of clinical medical humanities teaching system from four aspects,including the selection of clinical medical humanities teachers and team building;the teaching path that combines theoretical education,narrative medicine,and clinical skill training infused with medical humanities content;curriculum ideological and political construction with the goal of establishing the core concept and value orientation of"patient-centered";the teaching assessment and evaluation method characterized by formative evaluation.The clinical medical humanities teaching system emphasizes the practicality,experiential,and emotional aspects of medical humanities teaching,deeply integrating medical humanities with clinical practice teaching content throughout the clinical internship period of medical education,with a view to enhancing the humanistic practice ability and literacy of medical students.
2.Predictive Ability of Hypertriglyceridemic Waist,Hypertriglyceridemic Waist-to-Height Ratio,and Waist-to-Hip Ratio for Cardiometabolic Risk Factors Clustering Screening among Chinese Children and Adolescents
Li Tian XIAO ; Qian Shu YUAN ; Yu Jing GAO ; S.Baker JULIEN ; De Yi YANG ; Jie Xi WANG ; Juan Chan ZHENG ; Hui Yan DONG ; Yong Zhi ZOU
Biomedical and Environmental Sciences 2024;37(3):233-241
Objective Hypertriglyceridemic waist(HW),hypertriglyceridemic waist-to-height ratio(HWHtR),and waist-to-hip ratio(WHR)have been shown to be indicators of cardiometabolic risk factors.However,it is not clear which indicator is more suitable for children and adolescents.We aimed to investigate the relationship between HW,HWHtR,WHR,and cardiovascular risk factors clustering to determine the best screening tools for cardiometabolic risk in children and adolescents. Methods This was a national cross-sectional study.Anthropometric and biochemical variables were assessed in approximately 70,000 participants aged 6-18 years from seven provinces in China.Demographics,physical activity,dietary intake,and family history of chronic diseases were obtained through questionnaires.ANOVA,x2 and logistic regression analysis was conducted. Results A significant sex difference was observed for HWHtR and WHR,but not for HW phenotype.The risk of cardiometabolic health risk factor clustering with HW phenotype or the HWHtR phenotype was significantly higher than that with the non-HW or non-HWHtR phenotypes among children and adolescents(HW:OR = 12.22,95%CI:9.54-15.67;HWHtR:OR = 9.70,95%CI:6.93-13.58).Compared with the HW and HWHtR phenotypes,the association between risk of cardiometabolic health risk factors(CHRF)clustering and high WHR was much weaker and not significant(WHR:OR = 1.14,95%CI:0.97-1.34). Conclusion Compared with HWHtR and WHR,the HW phenotype is a more convenient indicator with higher applicability to screen children and adolescents for cardiovascular risk factors.
3.Original Article Association between Exposure of Rare Earth Elements and Outcomes of In Vitro Fertilization-Embryo Transfer in Beijing
Wang YUTONG ; Li JING ; Xu SHIRONG ; Lin SHENGLI ; Hou ZHENCHEN ; Wang LINLIN ; Huang YALI ; Sun YUE ; Guo WEI ; Yan LAILAI ; Wang YING ; Tian CHAN
Biomedical and Environmental Sciences 2024;37(8):876-886
Objective The study aimed to investigate the impact of rare earth elements(REEs)exposure on pregnancy outcomes of in vitro fertilization-embryo transfer(IVF-ET)by analyzing samples from spouses. Methods A total of 141 couples were included.Blood and follicular fluid from the wives and semen plasma from the husbands,were analyzed for REEs using inductively coupled plasma mass spectrometry(ICP-MS).Spearman's correlation coefficients and the Mann-Whitney U test were used to assess correlations and compare REE concentrations among three types of samples,respectively.Logistic models were utilized to estimate the individual REE effect on IVF-ET outcomes,while BKMR and WQS models explored the mixture of REE interaction effects on IVF-ET outcomes. Results Higher La concentration in semen(median 0.089 ng/mL,P=0.03)was associated with a lower fertilization rate.However,this effect was not observed after artificial selection intervention through intracytoplasmic sperm injection(ICSI)(P=0.27).In semen,the REEs mixture did not exhibit any significant association with clinical pregnancy. Conclusion Our study revealed a potential association between high La exposure in semen and a decline in fertilization rate,but not clinical pregnancy rate.This is the first to report REEs concentrations in follicular fluid with La,Ce,Pr,and Nd found at significantly lower concentrations than in serum,suggesting that these four REEs may not accumulate in the female reproductive system.However,at the current exposure levels,mixed REEs exposure did not exhibit reproductive toxicity.
4.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
5.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
6.Utility of combining PIVKA-II and AFP in the surveillance and monitoring of hepatocellular carcinoma in the Asia-Pacific region
Do Young KIM ; Bao Nguyen TOAN ; Chee-Kiat TAN ; Irsan HASAN ; Lyana SETIAWAN ; Ming-Lung YU ; Namiki IZUMI ; Nguyen Nguyen HUYEN ; Pierce Kah-Hoe CHOW ; Rosmawati MOHAMED ; Stephen Lam CHAN ; Tawesak TANWANDEE ; Teng-Yu LEE ; Thi Thanh Nguyen HAI ; Tian YANG ; Woo-Chang LEE ; Henry Lik Yuen CHAN
Clinical and Molecular Hepatology 2023;29(2):277-292
Even though the combined use of ultrasound (US) and alpha-fetoprotein (AFP) is recommended for the surveillance of hepatocellular carcinoma (HCC), the utilization of AFP has its challenges, including accuracy dependent on its cut-off levels, degree of liver necroinflammation, and etiology of liver disease. Though various studies have demonstrated the utility of protein induced by vitamin K absence II (PIVKA-II) in surveillance, treatment monitoring, and predicting recurrence, it is still not recommended as a routine biomarker test. A panel of 17 experts from Asia-Pacific, gathered to discuss and reach a consensus on the clinical usefulness and value of PIVKA-II for the surveillance and treatment monitoring of HCC, based on six predetermined statements. The experts agreed that PIVKA-II was valuable in the detection of HCC in AFP-negative patients, and could potentially benefit detection of early HCC in combination with AFP. PIVKA-II is clinically useful for monitoring curative and intra-arterial locoregional treatments, outcomes, and recurrence, and could potentially predict microvascular invasion risk and facilitate patient selection for liver transplant. However, combining PIVKA-II with US and AFP for HCC surveillance, including small HCC, still requires more evidence, whilst its role in detecting AFP-negative HCC will potentially increase as more patients are treated for hepatitis-related HCC. PIVKA-II in combination with AFP and US has a clinical role in the Asia-Pacific region for surveillance. However, implementation of PIVKA-II in the region will have some challenges, such as requiring standardization of cut-off values, its cost-effectiveness and improving awareness among healthcare providers.
7.A machine learning-based predictive model of nonsuicidal self-injurious behavior among college students in Guizhou Province
PAN Chan, LIU Xiaorong, SHI Xiangzi, ZHAO Wenxin, TIAN Meng, CHEN Siyuan, ZHANG Wanzhu
Chinese Journal of School Health 2023;44(8):1198-1202
Objective:
To explore the effectiveness of machine learning algorithms in predicting non-suicidal self-injury (NSSI) behavior among college students, and to analyze the influencing factors of NSSI behavior, thus providing a reference for promoting psychological well-being.
Methods:
In December 2022, a stratified random cluster sampling method was used to select 835 college students from a university in Guizhou Province, China. The Adolescent Self-injury Scale, Family Function Assessment Scale, and Emotion Regulation Self-efficacy Scale were used to evaluate the participants. Demographic characteristics, family factors, and emotional factors were taken as independent variables, while the dependent variable was whether college students exhibited NSSI behavior. Machine learning algorithms, including Logistic regression, support vector machine (SVM), decision trees, algorithm gradient boosting trees, random forests, and AdaBoost, were used to construct predictive models.
Results:
The detection rate of NSSI behavior among the college students was 23.23% (194 individuals). The NSSI behavior group scored higher than the non-NSSI behavior group in total family function, emotional communication, egoism, and family rules ( t=3.02, 3.35 , 2.23,2.87, P <0.05). On the other hand, the non-NSSI behavior group scored higher than the NSSI behavior group in total emotion regulation selfefficacy, managing negative emotion self-efficacy, and expressing positive emotion self-efficacy ( t=-5.04, -5.48 , -2.43, P <0.05). The recall rates of random forests, SVM, Logistic regression, decision trees, algorithm gradient boosting trees, and AdaBoost were 84.3% , 90.6%, 73.4%, 87.5%, 95.3%, 89.0%, respectively. The F1 scores were 84.4%, 92.1%, 71.2 %, 79.4%, 91.7%, 89.1% , respectively. The respective precision rates were 84.4%, 93.5%, 69.1%, 72.7%, 88.4%, 89.1 %. The AUC scores were 0.845, 0.922, 0.706, 0.776, 0.915, and 0.891, respectively.
Conclusion
Compared to the algorithm gradient boosting tree, random forest, Logistic regression, and AdaBoost models, the SVM model has a better predictive effect on whether college students in Guizhou Province exhibits NSSI behavior. It is recommended to use an appropriate model to identify students at risk of NSSI behavior as early as possible and provide psychological crisis interventions to promote their mental health.
8.Evaluation of the effect of internet-based dietary self-management on blood pressure in high-risk population of hypertension in Haikou City community.
Li Min HE ; You Xuan YAN ; Chan Juan ZHAO ; Xue Li ZHU ; Bi Feng LIANG ; Guo Tian LIN ; Jun Cai CHEN ; Fan ZHANG
Chinese Journal of Preventive Medicine 2023;57(10):1581-1589
To explore the effect of Internet+diet self-management intervention technology on the blood pressure control of hypertension high-risk population through the intervention of hypertension high-risk population in Haikou City community, so as to provide scientific evidence for the prevention and treatment of cardiovascular diseases (CVD). The multi-stage cluster sampling method was used, and 295 hypertension high-risk participants were recruited from 15 communities in Haikou City from July to December 2021. The 15 communities were randomly divided into three groups: blank group, traditional group and Internet plus group by random number table method. The blank group referred to the group (99 participants) that did not take special intervention measures but the routine interventions in accordance with the "National Basic Public Health Service Standards (the Third Edition) Health Education Service Standards". On the basis of the blank group, the traditional group (95 participants) was intervened by giving additional traditional methods such as holding lectures and distributing popular science books. The Internet plus group (101 participants) was given additional Internet measures on the basis of the intervention of the traditional group. After 6 months, questionnaires, laboratory biochemical tests, and physical measurements were conducted. SPSS 25.0 software was applied for data analysis. Measurement data that followed normal distribution were statistically described by using mean±standard deviation, analysis of variance was used for inter group comparisons before intervention, analysis of covariance was used for inter group comparisons after intervention, and Bonferroni adjustment was used for pairwise comparisons between groups. Measurement data that did not follow the Normal distribution were represented by M (Q1, Q3). The rank sum test was used for inter group comparison. The k sample Kruskal Wallis single factor ANOVA was used to compare the distribution between different groups. Counting data were described by composition ratio or rate. Under the premise of balanced comparison between groups before intervention, Chi-squared test was used for inter group comparison after intervention, and Bonferroni adjustment method was used for pairwise comparison between groups. The results showed that a total of 295 participants were included, with males accounting for 35.6% (105) and females accounting for 64.4% (190). The age ranged from 55 to 74 years old, with an average age of (64.69±5.73) years. The number of married accounted for 95.6% (282 participants). There were no statistically significant differences in gender, age, family history, education level, occupation, marital status, drinking habits, regular exercise, dietary status, SBP (systolic blood pressure), DBP (diastolic blood pressure), pulse pressure difference, BMI (body mass index), folic acid, and 24-hour urine sodium among the three groups upon enrollment (P values>0.05). After the intervention, the drinking rate was as follows: Internet plus group (29, 28.7%)
Male
;
Female
;
Humans
;
Middle Aged
;
Aged
;
Blood Pressure
;
Self-Management
;
Hypertension/prevention & control*
;
Cardiovascular Diseases/prevention & control*
;
Diet
;
Sodium
;
Internet
;
Folic Acid
9.Evaluation of the effect of internet-based dietary self-management on blood pressure in high-risk population of hypertension in Haikou City community.
Li Min HE ; You Xuan YAN ; Chan Juan ZHAO ; Xue Li ZHU ; Bi Feng LIANG ; Guo Tian LIN ; Jun Cai CHEN ; Fan ZHANG
Chinese Journal of Preventive Medicine 2023;57(10):1581-1589
To explore the effect of Internet+diet self-management intervention technology on the blood pressure control of hypertension high-risk population through the intervention of hypertension high-risk population in Haikou City community, so as to provide scientific evidence for the prevention and treatment of cardiovascular diseases (CVD). The multi-stage cluster sampling method was used, and 295 hypertension high-risk participants were recruited from 15 communities in Haikou City from July to December 2021. The 15 communities were randomly divided into three groups: blank group, traditional group and Internet plus group by random number table method. The blank group referred to the group (99 participants) that did not take special intervention measures but the routine interventions in accordance with the "National Basic Public Health Service Standards (the Third Edition) Health Education Service Standards". On the basis of the blank group, the traditional group (95 participants) was intervened by giving additional traditional methods such as holding lectures and distributing popular science books. The Internet plus group (101 participants) was given additional Internet measures on the basis of the intervention of the traditional group. After 6 months, questionnaires, laboratory biochemical tests, and physical measurements were conducted. SPSS 25.0 software was applied for data analysis. Measurement data that followed normal distribution were statistically described by using mean±standard deviation, analysis of variance was used for inter group comparisons before intervention, analysis of covariance was used for inter group comparisons after intervention, and Bonferroni adjustment was used for pairwise comparisons between groups. Measurement data that did not follow the Normal distribution were represented by M (Q1, Q3). The rank sum test was used for inter group comparison. The k sample Kruskal Wallis single factor ANOVA was used to compare the distribution between different groups. Counting data were described by composition ratio or rate. Under the premise of balanced comparison between groups before intervention, Chi-squared test was used for inter group comparison after intervention, and Bonferroni adjustment method was used for pairwise comparison between groups. The results showed that a total of 295 participants were included, with males accounting for 35.6% (105) and females accounting for 64.4% (190). The age ranged from 55 to 74 years old, with an average age of (64.69±5.73) years. The number of married accounted for 95.6% (282 participants). There were no statistically significant differences in gender, age, family history, education level, occupation, marital status, drinking habits, regular exercise, dietary status, SBP (systolic blood pressure), DBP (diastolic blood pressure), pulse pressure difference, BMI (body mass index), folic acid, and 24-hour urine sodium among the three groups upon enrollment (P values>0.05). After the intervention, the drinking rate was as follows: Internet plus group (29, 28.7%)
Male
;
Female
;
Humans
;
Middle Aged
;
Aged
;
Blood Pressure
;
Self-Management
;
Hypertension/prevention & control*
;
Cardiovascular Diseases/prevention & control*
;
Diet
;
Sodium
;
Internet
;
Folic Acid
10.Efficacy and safety of low-dose aspirin on preventing transplant renal artery stenosis: a prospective randomized controlled trial
Xiangyong TIAN ; Bingqing JI ; Xiaoge NIU ; Wenjing DUAN ; Xiaoqiang WU ; Guanghui CAO ; Chan ZHANG ; Jingge ZHAO ; Zhiwei WANG ; Yue GU ; Huixia CAO ; Tao QIN ; Fengmin SHAO ; Tianzhong YAN
Chinese Medical Journal 2023;136(5):541-549
Background::Transplant renal artery stenosis (TRAS) is a vascular complication after kidney transplantation associated with poor outcomes. This study aimed to analyze the efficacy and safety of low-dose aspirin for preventing TRAS.Methods::After kidney transplantation, patients were enrolled from January 2018 to December 2020 in Henan Provincial People’s Hospital. A total of 351 enrolled recipients were randomized to an aspirin group with low-dose intake of aspirin in addition to standard treatment ( n = 178), or a control group with only standard treatment ( n = 173). The patients was initially diagnosed as TRAS (id-TRAS) by Doppler ultrasound, and confirmed cases were diagnosed by DSA (c-TRAS). Results::In the aspirin and control groups, 15.7% (28/178) and 22.0% (38/173) of the recipients developed id-TRAS, respectively, with no statistical difference. However, for c-TRAS, the difference of incidence and cumulative incidence was statistically significant. The incidence of c-TRAS was lower in the aspirin group compared with the control group (2.8% [5/178] vs. 11.6% [20/173], P = 0.001). Kaplan–Meier estimates and Cox regression model identified the cumulative incidence and hazard ratio (HR) of TRAS over time in two groups, showing that recipients treated with aspirin had a significantly lower risk of c-TRAS than those who were not treated (log-rank P = 0.001, HR = 0.23, 95% confidence interval [CI]: 0.09–0.62). The levels of platelet aggregation rate ( P < 0.001), cholesterol ( P = 0.028), and low-density lipoprotein cholesterol ( P = 0.003) in the aspirin group were decreased compared with the control group in the third-month post-transplantation. For the incidence of adverse events, there was no statistical difference. Conclusion::Clinical application of low-dose aspirin after renal transplant could prevent the development of TRAS with no significant increase in adverse effects.Trial Registration::Clinicaltrials.gov, NCT04260828.


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