1.Investigation of radon exposure hazard awareness among non-uranium miners in Chongqing, China
Jinghua ZHOU ; Wei LI ; Mengyun WU ; Kui LI ; Xiuhong TAN ; Jun SUN
Chinese Journal of Radiological Health 2025;34(1):41-45
Objective To investigate the awareness of radon exposure hazards among non-uranium miners in Chongqing, China. Methods A survey was conducted among 177 male miners from eight non-uranium metal mines in Chongqing to collect data on basic information, personal habits, and the rate of radon awareness. Factors affecting radon awareness were analyzed using chi-square test and logistic regression model. Results The awareness rate of radon among miners was 23.73%. The chi-square test indicated significant difference in the radon awareness rate among miners with different levels of education (χ2 = 10.28, P < 0.05), while there was no significant difference across different ages, years of work, labor relations, job categories, and types of miners (P > 0.05). Binary logistic regression analysis showed that a college (junior college) or higher level of education, a high school level of education, and working in mines were factors affecting the radon awareness among miners (χ2 = 4.030, 9.150, 11.776, P < 0.05). Conclusion Miners lack awareness of radon, and there is an urgent need to strengthen education and propaganda regarding the hazards of radon.
2.Progress in the application of deep learning in prognostic models for non-small cell lung cancer
Ruikang ZHONG ; Jinghua LI ; Ximing LIN ; Xueni FANG ; Kaiwen HU ; Tian ZHOU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2024;31(09):1345-1350
Non-small cell lung cancer is one of the cancers with the highest incidence and mortality rate in the world, and precise prognostic models can guide clinical treatment plans. With the continuous upgrading of computer technology, deep learning as a breakthrough technology of artificial intelligence has shown good performance and great potential in the application of non-small cell lung cancer prognosis model. The research on the application of deep learning in survival and recurrence prediction, efficacy prediction, distant metastasis prediction, and complication prediction of non-small cell lung cancer has made some progress, and it shows a trend of multi-omics and multi-modal joint, but there are still shortcomings, which should be further explored in the future to strengthen model verification and solve practical problems in clinical practice.
3.A Multicenter, Randomized, Double-blind, and Placebo-parallel Controlled Trial of Tibetan Medicine Ruyi Zhenbaowan in Treatment of Knee Osteoarthritis
Chunquan SUN ; Yanming XIE ; Jinghua GAO ; Weiheng CHEN ; Lianxin WANG ; Shangquan WANG ; Xiangdong TIAN ; Zujian XU ; Yuxin ZHENG ; Mingwang ZHOU ; Chungen LI ; Zhanwang XU ; Jiayi GUO ; Shuangqing DU ; Qigang CHEN ; Quan JI ; Zhiqiang BAI ; Jing XIAO ; Wanli QI ; Weiyi YANG ; Jingxiao ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(24):57-67
ObjectiveThis study aimed to evaluate the clinical efficacy of Ruyi Zhenbaowan(RYZBW)in the treatment of initial and early knee osteoarthritis (KOA) through a prospective multicenter,randomized,double-blind,and placebo-parallel controlled trial. MethodFrom October 13th, 2021 to December 25th, 2021, 240 KOA subjects meeting the acceptance criteria were enrolled in 15 sub-centers including Wangjing Hospital, Chinese Academy of Chinese Medical Sciences, and they were randomly divided into observation group and control group, with 120 cases in each group. The intervention measures for the observation group were RYZBW + health education, and the intervention measures for the control group were RYZBW placebo + health education. The intervention period in both groups was four weeks, and they were followed up for four weeks after the intervention. The primary outcome measure was the total score of Western Ontario and McMaster University Osteoarthritis Index score (WOMAC score), and the secondary outcome measures were the response rate of visual scale (VAS) pain score, WOMAC sub item scores (joint pain, joint stiffness, and joint function), quality of life (SF-12) score, and traditional Chinese medicine (TCM) syndrome score. Result(1) Efficacy evaluation. The marginal model results showed that the observation group was better than the control group in improving the WOMAC total score and WOMAC pain score in the treatment of KOA with RYZBW, and the difference was statistically significant (P<0.05). There was no significant difference between the two groups in improving VAS score response rate, WOMAC function score, WOMAC stiffness score, SF12-PCS (quality of life-physical health) score, SF12-MCS (quality of life-mental health) score, and TCM syndrome score. (2) Subgroup analysis. ① In terms of VAS score response rate, the response rate of the observation group was higher than that of the control group for subjects with baseline VAS score of (4, 5], and the difference was statistically significant (P<0.05). ② In terms of TCM syndrome score, for subjects aged [56, 60] and [61, 65], the decrease in total TCM syndrome score in the observation group was better than that in the control group, and the difference was statistically significant (P<0.05). ConclusionTibetan medicine RYZBW has good clinical efficacy in improving WOMAC total score, VAS score response rate, WOMAC pain score, WOMAC function score, and TCM syndrome score for patients with initial and early KOA, which can fill the lack of Tibetan medicine RYZBW in the treatment of KOA and make a demonstration study for the inheritance and development of ethnic medicine.
4.Expression and significance of ubiquitin-specific proteases 20 and hypoxia inducible factor-1α in breast cancer
Lingyu FANG ; Jinghua HU ; Junfeng WEN ; Shiqi HAN ; Yali WANG ; Lulan PU ; Jingjia LI ; Yi YANG ; Shishan DENG ; Lingmi HOU ; Fangfang ZHOU
The Journal of Practical Medicine 2024;40(16):2270-2276
Objective To explore the changes and significane of USP20 and HIF-α expression in breast cancer.Methods Following transfection of shRNA-USP20 lentivirus into breast cancer MDA-MB-231 cells,the gene and protein expression levels of USP20 were detected using fluorescence quantitative PCR and Western Blot.Subsequently,the overexpression of USP20 was observed to determine its effect on HIF-α expression.Similarly,siRNA-USP20 was used to knock down USP20 in breast cancer MDA-MB-231 cells,followed by detection of gene and protein expression levels using fluorescence quantitative PCR and Western Blot.The subsequent changes in HIF-α expression were then examined.Rusults The positive expression rates of USP20 and HIF-α in breast cancer tissues were 69.6%and 46.83%,respectively,while they were negatively expressed in the adjacent normal tissues,with statistically significant differences(P<0.01).The positive expressions of USP20 and HIF-α were predomi-nantly observed in the cytoplasm of breast cancer tissue,with a smaller amount present in the nucleus.There was a significant positive correlation between USP20 and HIF-α in breast cancer.Following transfection of shRNA-USP20 lentivirus into MDA-MB-231 cells,both the protein and gene expression levels of USP20 significantly increased(P<0.01).Over-expression of USP20 did not affect HIF-α mRNA levels but led to a significant increase in HIF-α protein expression(P<0.01).Conversely,siRNA-USP20 interference resulted in a significant decrease in both the protein and gene expression levels of USP20(P<0.01),without affecting HIF-α mRNA levels;however,it caused a notable reduction in HIF-α protein expression(P<0.01).Conclusion The expression of USP20 exhib-ited a significant positive correlation with HIF-α in breast cancer.Overexpression of USP20 led to a substantial increase in HIF-α protein expression,while knock-down of the USP20 gene resulted in a significant decrease in HIF-α protein levels.Therefore,it can be inferred that USP20 may exert its influence on the development of breast cancer through modulation of HIF-α expression,thereby providing crucial experimental evidence for clinical treat-ment,prognosis,and further investigations.
5.Development of an Arteriovenous Fistula Physical Examination Knowledge, Attitude, and Practice Scale for Hemodialysis Nurses and its reliability and validity
Jingying CHEN ; Xia FU ; Huiqin TAO ; Qinghong LIU ; Jinghua LU ; Le ZHANG ; Jianmin CHEN ; Hongzhen ZHOU
Chinese Journal of Modern Nursing 2024;30(14):1877-1883
Objective:To develop an Arteriovenous Fistula Physical Examination Knowledge, Attitude, and Practice Scale for Hemodialysis Nurses and test its reliability and validity.Methods:Based on the theory of knowledge, attitude, and practice, a preliminary scale draft was formed through a literature review, three rounds of Delphi expert consultation, and a pre-survey. Using convenience sampling, 311 hemodialysis nurses were selected for a survey from December 2022 to February 2023 for item analysis, exploratory factor analysis and reliability testing. Another survey was conducted on 260 hemodialysis nurses from February to June 2023 for confirmatory factor analysis, convergent validity, and discriminant validity testing.Results:The Arteriovenous Fistula Physical Examination Knowledge, Attitude, and Practice Scale for Hemodialysis Nurses included three subscales and five dimensions, with a total of 33 items. The content validity index at the item level was 0.867 to 1.000, and the content validity index at the scale level was 0.992. After exploratory factor analysis, two, one, and two common factors were extracted from the knowledge, attitude, and practice subscales, with cumulative variance contribution rates of 70.114%, 75.192%, and 67.467%, respectively.Confirmatory:factor analysis showed that the model fitted well. The Cronbach's α coefficients of the three subscales were 0.929 to 0.943, the half reliability coefficients were 0.861 to 0.903, and the retest reliability coefficients were 0.824 to 0.874. Conclusions The Arteriovenous Fistula Physical Examination Knowledge, Attitude, and Practice Scale for Hemodialysis Nurses has good reliability and validity and can be used to evaluate the physical examination ability of hemodialysis nurses for arteriovenous fistula.
6.Qualitative study on the cognition and behavior of nurses in blood purification centers regarding the quality of death in maintenance hemodialysis patients
Jinghua XIA ; Wenbo ZHU ; Yue ZHOU ; Shuo ZHANG ; Yan QIN ; Yuxia GUAN
Chinese Journal of Modern Nursing 2024;30(20):2766-2770
Objective:To explore the cognition and behavior of nurses in blood purification centers on the quality of death of patients undergoing maintenance hemodialysis.Methods:The descriptive phenomenological research method was adopted. From August to October 2022, a total of 14 nurses from blood purification centers in three hospitals, namely Beijing Union Medical College Hospital, Beijing Hospital and Beijing Chaoyang Hospital were selected as interview subjects by the purposive sampling method. Semi-structured in-depth interview method was used to collect data, and Colaizzi 7-step analysis method was used to analyze data.Results:The cognition and behavior of nurses in the blood purification center towards the quality of death of maintenance hemodialysis patients were analyzed into four themes, namely factors affecting the quality of death of patients, convenient conditions for nurses to carry out quality of death improvement work, proactive measures taken by nurses to improve the quality of death and obstacles in the process of improving the quality of death of patients.Conclusions:The nurses in the blood purification centers have special characteristics in their feelings about the death of patients with maintenance hemodialysis, and they have certain cognition and judgment about the quality of death of patients. Managers need to pay attention to the relevant needs and suggestions of the nurses in the blood purification centers and provide help and guidance, so as to continuously improve the quality of patient death and achieve the goal of optimal death of patients.
7.Summary of best evidence for non-pharmacological interventions for anxiety and depression in patients receiving maintenance hemodialysis
Jinghua XIA ; Wenbo ZHU ; Yue ZHOU ; Hui ZHANG ; Na GUO
Chinese Journal of Modern Nursing 2024;30(24):3250-3256
Objective:To summarize the best evidence for non-pharmacological interventions for anxiety and depression in patients receiving maintenance hemodialysis (MHD) .Methods:According to the "6S" evidence hierarchy model, evidence on non-pharmacological interventions for anxiety and depression in patients receiving MHD was systematically searched from top to bottom across databases and websites, including BMJ Best Practice, UpToDate, International Guideline Network, National Institute for Health and Care Excellence (NICE), International Society of Nephrology, Medlive, Cochrane Library, PubMed, Web of Science, China National Knowledge Infrastructure, and China Biology Medicine disc. The search timeframe was from September 1, 2013, to September 1, 2023. Two researchers independently evaluated the quality of the literature, extracted evidence, and summarized recommendations in collaboration with an evidence evaluation group.Results:A total of 18 articles were included, comprising one guideline, two expert consensuses, one clinical decision, one evidence summary, and 13 systematic reviews. A total of 22 best evidence points were summarized in six aspects: screening and assessment, exercise interventions, lifestyle improvements, psychological interventions, other forms of interventions, and personnel and information support.Conclusions:Evidence-based non-pharmacological interventions for anxiety and depression in patients receiving MHD are diverse. The application of evidence should adhere to the principle of individualization, and the combined use of different evidence-based interventions may yield better outcomes.
8.Visualization Analysis on Research Literature about TCM for the Treatment of Attention Deficit Hyperactivity Disorder
Kangjian LI ; Jinghua YANG ; Xinqiang NI ; Lianyu WANG ; Xiyan DENG ; Wenting ZHONG ; Qi ZHOU ; Zhang WANG
Chinese Journal of Information on Traditional Chinese Medicine 2024;31(11):67-74
Objective To analyze the research status,hotspots and trends of TCM in the treatment of attention deficit hyperactivity disorder(ADHD).Methods The literature on the treatment of ADHD by TCM were was retrieved from CNKI,VIP,Wanfang Data,and CBM from the establishment of the databases to 7th,Sep.2023.NoteExpress 3.9 was used to manage and remove weight;Excel 2019 was used to draw a line trend chart for the number of published literature.CiteSpace 6.1R.6 software was used to perform co-occurrence and clustering analysis on authors,institutions and keywords,and a visual graph was drawn.Results A total of 1215 articles were included after screening.800 authors were involved,forming research teams with Han Xinmin,Wang Junhong,Ma Rong and Li Yirui as the cores respectively;Nanjing University of Chinese Medicine,Guangzhou University of Chinese Medicine,Beijing University of Chinese Medicine and so on published more papers.High-frequency keywords included clinical efficacy,acupuncture and moxibustion treatment,clinical experience,Chinese materia medica and so on;research frontiers included clinical efficacy,acupuncture and moxibustion treatment,clinical experience,data mining and attention.Conclusion The main research on the treatment of ADHD by TCM includes clinical efficacy,clinical experience,animal experiments and data mining,and relatively stable research teams have been formed,but there is less cooperation between teams and institutions.
9.Exploration and practice of information-based points system in medical management of laboratory medicine
Yunhu ZHAO ; Hui ZHOU ; Guanghua LI ; Maohua ZHOU ; Jinghua LI ; Xuejiao HU ; Bing GU
Chinese Journal of Laboratory Medicine 2024;47(8):958-962
Objective:To explore the role of information-based points system management platform in enhancing the medical management capabilities of laboratory medicine.Methods:A total of 106 personnel who were on duty from January 2021 to December 2022 in the clinical laboratory of Guangdong Provincial People′s Hospital were selected and divided into 8 professional groups, including 24 in Clinical Routine Lab, 22 in Clinical Biochemistry Lab, 11 in Clinical Immune Lab, 13 in Clinical Microbiology Lab, 10 in Clinical Molecular Lab, 9 in Flow Cytometry Lab, 9 in HuiFu Lab, and 8 in Interdisciplinary Lab. Information-based points system management platform was established by formulating the detailed rules for the assessment of this points system, and the points achieved by the 106 participants in 2021 and 2022 were obtained and analyzed. The points were divided into 6 intervals (<41, 41-45, 46-50, 51-55, 56-60 and>60).Results:The overall medical points of laboratory medicine was significantly higher in 2022 than in 2021 (52.15±5.48 vs 49.81±3.73, P<0.001). In 2022, the number of participants with points between 41-45 and 46-50 intervals was lower than those in 2021; with points 51-55, 56-60 and>60 intervals was higher than those in 2021 (χ2=10.479, P<0.05). In addition, the points of Clinical Molecular, Clinical Microbiology and HuiFu Lab were 57.46±7.40, 52.05±5.43 and 54.98±4.31 respectively, which were significantly higher than those of 2021 (50.16±4.14, 49.10±4.06, 49.23±4.28, respectively;all P<0.05). The number of report revisions has significantly decreased in 2022 (18) compared to that in 2021 (48), clinical communication and various levels of publicity and promotion were significantly increased from 52 and 58 (2021) to 108 and 137 (2022), respectively. Conclusion:The construction and application of the information-based points management system have effectively improved the enthusiasm and subjective initiative of laboratory personnel, enhanced the quality and service capabilities of laboratory medicine, and might serve as an important tool for standardized management of laboratory medicine.
10.Construction of AQHI based on joint effects of multi-pollutants in 5 provinces of China
Jinghua GAO ; Chunliang ZHOU ; Jianxiong HU ; Ruilin MENG ; Maigeng ZHOU ; Zhulin HOU ; Yize XIAO ; Min YU ; Biao HUANG ; Xiaojun XU ; Tao LIU ; Weiwei GONG ; Donghui JIN ; Mingfang QIN ; Peng YIN ; Yiqing XU ; Guanhao HE ; Xianbo WU ; Weilin ZENG ; Wenjun MA
Journal of Environmental and Occupational Medicine 2023;40(3):281-288
Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO2, NO2, CO, PM2.5, PM10, and maximum 8 h O3 concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM2.5, NO2, SO2, and O3 were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM2.5, NO2, SO2 and O3 were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.

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