1.Application of intravenous anesthesia without intubation in transurethral blue laser vaporization of the prostate
Zhenwei FAN ; Zhen HAO ; Guoxiong LIU ; Quan DU ; Yu WANG ; Xiaoliang FU ; Wanglong YUN ; Xiaofeng XU
Journal of Modern Urology 2025;30(6):493-496
Objective: To investigate the safety and feasibility of transurethral blue laser vaporization of the prostate (BVP) under intravenous anesthesia without intubation. Methods: Clinical data of 30 benign prostatic hyperplasia (BPH) (prostate volume <40 mL) patients undergoing BVP under intravenous anesthesia without intubation in our hospital during Jul.and Nov.2024 were retrospectively analyzed.Preoperative and 1-month postoperative international prostate symptom score (IPSS), quality of life score (QoL), maximum urinary flow rate (Qmax), and postvoid residual volume (PVR) were compared.The operation time, cumulative blue laser activation time, recovery time, postoperative bladder irrigation time, postoperative catheter indwelling time, postoperative 2-hour visual analog scale (VAS) score and incidence of surgical and anesthetic complications were recorded. Results: All 30 patients successfully completed BVP under intravenous anesthesia without intubation.The operation time was (12.5±5.0) min, cumulative laser activation time (9.8±4.1) min, recovery time (6.8±1.2) min, postoperative bladder irrigation time (11.0±4.6) h, postoperative catheter indwelling time (2.7±1.1) days and postoperative 2-hour VAS score was (3.0±1.3).No cases required conversion to intubated general anesthesia, and no severe perioperative surgical or anesthetic complications occurred.Significant improvements in IPSS, QoL, Qmax, and PVR were observed 1 month postoperatively (P<0.001). Conclusion: BVP under intravenous anesthesia without intubation in the treatment of prostate volume <40 mL BPH is clinically feasible, significantly improving lower urinary tract symptoms without significant surgical or anesthetic complications.
2.Predictive Value of Serum PCSK9 and CTRP6 in Pregnant Women Undergoing Threatened Abortion and Fetal Protection Treatment on Pregnancy Outcomes
Ningjuan DUAN ; Yan LIU ; Zhenwei WANG
Journal of Modern Laboratory Medicine 2024;39(1):106-111
Objective To explore the predictive value of serum proprotein convertase subtilisin/kexin type 9(PCSK9)and proprotein convertase subtilisin/kexin type 9(CTRP6)in pregnant women undergoing threatened abortion and fetal protection treatment for pregnancy outcomes.Methods Eighty pregnant women with threatened abortion who were treated in the Second Affiliated Hospital of Shaanxi University of Chinese Medicine from August 2021 to May 2022 were selected as the study subjects.According to the pregnancy outcome,they were grouped into the good pregnancy outcome group(n=62)and the bad pregnancy outcome group(n=18),while another 60 pregnant women with normal pregnancy tests in the hospital were selected as the control group.The serum levels of PCSK9,CTRP6,progesterone and β-human chorionic gonadotropin(β-HCG)were measured by enzyme-linked immunosorbent assay(ELISA).Pearson method was applied to analyze the correlation between serum PCSK9,CTRP6 levels and progesterone and β-HCG levels.Multivariate Logistic regression analysis was applied to analyze the factors affecting the pregnancy outcomes of pregnant women with threatened abortion.The predictive value of serum PCSK9 and CTRP6 on pregnancy outcome of pregnant women with threatened abortion and pregnancy protection treatment was analyzed by the receiver operating characteristic(ROC)curve.Results The level of progesterone(45.65±3.48,38.29±3.54 and 31.56±4.11 nmol/L),β-HCG(32 056.56±4 244.54,23 642.32±3 897.67 and 11 375.56±3 454.35 mIU/L)and CTRP6(436.53±36.23,328.44±31.06 and 277.86±25.56 ng/ml)in control group,good pregnancy outcome group and bad pregnancy outcome group decreased gradually,while the level of PCSK9(64.22±10.35,82.24±13.33 and 114.56±17.67 ng/ml)in the control group,the good pregnancy outcome group and the bad pregnancy outcome group increased gradually,with statistically significant differences(F=129.231,199.334,244.007,111.297,all P<0.05).Pearson method showed that serum PCSK9 was negatively correlated with progesterone and β-HCG levels(r=-0.545,-0.514,all P<0.05),and serum CTRP6 was positively correlated with progesterone and β-HCG levels(r=0.567,0.496,all P<0.05).Multivariate Logistic regression analysis showed that the high level of PCSK9 was an independent risk factor for pregnancy outcome of threatened abortion and fetal protection treatment,and the high level of CTRP6,progesterone and β-HCG were independent protective factors for pregnancy outcome of threatened abortion and fetal protection treatment(P<0.05).ROC results showed that the area under the curve(AUC)of serum PCSK9 and CTRP6 levels for patients with adverse pregnancy outcomes in the prediction of threatened abortion and fetal protection treatment was 0.843 and 0.849,respectively.The AUC predicted by the combination of the two was 0.941,which was better than that predicted by each individual(Z=1.725,1.882,P<0.05),with a specificity and a sensitivity of 85.48%,94.44%,respectively.Conclusion The serum PCSK9 level of pregnant women undergoing threatened abortion and fetal protection treatment was obviously increased,and the level of CTRP6 was obviously reduced.This study indicated both have important value in predicting the pregnancy outcomes of pregnant women undergoing threatened abortion and fetal protection treatment.
3.Study on the potential mechanism of JQQSG for the treatment of CAP based on network pharmacology and molecular docking technology
Jintao CHEN ; Ziying QIAO ; Minghua MA ; Ruoxi ZHANG ; Zhenwei WANG ; Hua NIAN
Journal of Pharmaceutical Practice and Service 2024;42(11):471-478
Objective To investigate the possible mechanism of action of Jinqi Qingshu granules(JQQSG)in the treatment of community-acquired pneumonia(CAP)by network pharmacology and molecular docking technology.Methods The TCMSP database and SwissTargetPrediction database were used to obtain and screen the active ingredients and targets of JQQSG,and GeneCards,OMIM,TTD,and DisGeNET databases were used to search for the predicted targets of CAP,and the two targets were mapped and then imported into STRING database to construct a PPI network to screen the key targets,and then the GO and KEGG pathway enrichment were analyzed by the DAVID database,and molecular docking was carried out by the AutoDock Tools software.Results 209 active ingredients and 1 041 targets of JQQSG were obtained after screening;312 targets were co-activated with CAP,and 64 core targets were obtained after PPI network screening.571 biological processes,68 cellular components,and 199 molecular functions were analyzed by GO enrichment,and 165 KEGG pathways were analyzed by KEGG pathway enrichment,mainly involved in protein action,apoptosis and MAPK signaling pathway.Molecular docking suggests that the core target and the core components all have good binding ability.Conclusion The mechanism of action of JQQSG in the treatment of CAP may be related to its regulation of Akt,MAPK signaling pathway,improvement of oxidative stress,and other pathways to exert anti-inflammatory and antioxidant effects,which could lay the foundation for further in-depth study of its specific mechanism of action.
4.Study on transcriptome characteristics of respiratory syncytial virus bronchiolitis in children by RNA sequencing
Leying WANG ; Yisha LE ; Haiyan LI ; Zhenwei LIU ; Tingting WENG ; Xiaofang CHEN ; Peining LIU ; Lin DONG
Chinese Journal of Preventive Medicine 2024;58(1):71-80
To explore the biological characteristics related to the pathogenesis and severity of respiratory syncytial virus (RSV) bronchiolitis by RNA sequencing of white blood cells in children with RSV bronchiolitis. This study is a case-control study. A total of 87 children diagnosed with bronchiolitis and RSV antigen positive and/or RSV nucleic acid positive in the pediatric respiratory department of the Second Affiliated Hospital of Wenzhou Medical University from October 2019 to April 2022 were selected as the case group. The case group was divided into three groups based on the condition: mild, moderate, and severe, and there were two groups according to the presence or absence of atopic symptoms: the atopic group and the non -atopic group, forty healthy children in the same period were selected as the control group. The whole blood leukocyte RNA of the children in the case group and the control group was extracted for RNA sequencing, and the data were analyzed to obtain differentially expressed genes (DEGs). Then, the immunobiological pathways and genes related to the pathogenesis, disease condition, and atopy were screened through Gene Ontology (GO) annotation, Kyoto Gene and Genome Encyclopedia (KEGG) annotation, and protein interaction network (PPI) construction methods. Construct the weighted gene co-expression network analysis (WGCNA) module to identify potential biological indicators related to disease severity.Compared with the control group, the case group had a total of 1 782 DEGs, including 1 586 upregulated genes and 196 downregulated genes. The GO pathway enrichment of DEGs is mainly enriched in molecular functions such as peroxidase activity and oxidoreductase activity. In the cytological components, it is mainly enriched in cytoplasmic vesicle lumen and secretory granule lumen. In biological processes, it is mainly enriched in processes such as neutrophil activation involved in immune responses, neutrophil degranulation, and neutrophil activation. KEGG analysis is mainly concentrated in the signal pathway of the viral protein interaction with cytokine and cytokine receptor. A PPI network was constructed to screen four genes at the core position, including CCL2, IL-10, MMP9 and JUN. The DEGs obtained by comparing different disease groups with the control group are mainly enriched in retrograde endocannabinoid signaling and cell apoptosis pathways. WGCNA analysis showed that the brown module related to oxygen saturation was most closely related to the disease, and its gene was mainly enriched in the RNA helicase retinoic acid inducible gene-I (RIG-I) like receptor signal pathway. There are 230 specific DEGs in the atopic group and 444 in the non -atopic group. KEGG enrichment analysis results show that both groups are enriched to NF-κB signaling pathway, the characteristic does not cause significant changes in immune response and transcriptome characteristics in children with RSV bronchiolitis. In conclusion, neutrophil activation, degranulation pathway and signal pathway of interaction between viral protein and cytokine and cytokine receptor are involved in the immune response of RSV bronchiolitis host. CCL2, IL-10, MMP9 and JUN genes may be associated with the pathogenesis. They might be potential biomarkers related to disease severity in RIG-I like receptors, cell apoptosis, and endogenous cannabinoid related signaling pathways.
5.Distribution characteristics of skeletal muscle mass and grip strength in the elderly aged 65 years and older in 18 longevity areas in China
Zhenwei ZHANG ; Yuming ZHAO ; Hongzhou CHEN ; Fangyu LI ; Li QI ; Jinhui ZHOU ; Chen CHEN ; Jun WANG ; Yuebin LYU ; Wenhui SHI ; Xiaoming SHI
Chinese Journal of Epidemiology 2024;45(5):656-665
Objective:To investigate the distribution characteristics of skeletal muscle mass and strength in the older adults over 65 years old in 18 longevity areas in China.Methods:The subjects were selected from the Healthy Aging and Biomarkers Cohort Study conducted in 18 longevity areas of China. A total of 4 662 older adults over 65 years old from a cross- sectional survey in 2021 were included in the study. The information about their sociodemographic characteristics, lifestyle, nutrient intake and other factors were collected through questionnaire surveys and physical examinations. Grip strength was measured by using professional electronic grip dynamometer. Total skeletal muscle mass (TSM) was measured using bioelectrical impedance analysis, and TSM was adjusted by height squared and BMI to obtain TSM Ht2 and TSM BMI. The proportion of individuals with low muscle mass and strength was determined according to the recommended method by the Asian Working Group for Sarcopenia (AWGS). Descriptive analysis was conducted on the population and regional distribution characteristics of people with different muscle mass and grip strength. A generalized additive model was used to analyze the age-related trends of muscle mass and grip strength. Results:The age of 4 662 study subjects was (82.69±10.54) years, men accounted for 46.85% (2 184 cases) and Han Chinese accounted for 96.27% (4 488 cases). The M( Q1, Q3) of TSM, TSM Ht2 and TSM BMI in men were 23.30 (20.50, 26.20) kg, 9.02 (8.13, 9.89) kg/m 2, and 1.01 (0.90, 1.13) kg·(kg/m 2) -1, respectively, which were all higher than those in women [TSM: 18.20 (15.70, 20.70) kg, TSM Ht2: 8.18 (7.42, 9.07) kg/m 2 and TSM BMI: 0.79 (0.69, 0.90) kg·(kg/m 2) -1], the differences were significant (all P<0.001). The grip strength of men [ M( Q1, Q3): 24.50 (17.80, 30.80) kg] was higher than that of women [ M( Q1, Q3): 15.60 (11.10, 19.90) kg], the difference was significant ( P<0.001). Southern elderly men had lower TSM and TSM Ht2 compared with northern elderly men (all P<0.001), while there was no significant regional difference in TSM BMI ( P>0.05). Southern elderly women had higher TSM Ht2 and TSM BMI compared with northern elderly women (all P<0.001), while there was no significant regional difference in TSM ( P>0.05). Furthermore, according to the method recommended by AWGS, the elderly with low muscle mass and grip strength were characterized by older age, illiteracy, being unmarried/divorced/widowed, poor chewing ability, impaired activity of daily living and living in southern region. Conclusion:There were population and regional differences in muscle mass and grip strength in the older adults over 65 years in 18 longevity areas of China, and these differences showed decreasing trends with age.
6.Prediction model related to 6-year risk of frailty in older adults aged 65 years or above in China
Jinhui ZHOU ; Li QI ; Jun WANG ; Sixin LIU ; Wenhui SHI ; Lihong YE ; Zhenwei ZHANG ; Zenghang ZHANG ; Xi MENG ; Jia CUI ; Chen CHEN ; Yuebin LYU ; Xiaoming SHI
Chinese Journal of Epidemiology 2024;45(6):809-816
Objective:To develop a prediction tool for 6-year incident risk of frailty among Chinese older adults aged 65 years or above.Methods:Data from the Chinese Longitudinal Healthy Longevity Survey from 2002 to 2018 was used, including 13 676 older adults aged 65 years or above who were free of frailty at baseline. Key predictors of frailty were identified via the least absolute shrinkage and selection operator (LASSO) method, and were thereafter used to predict the incident frailty based on the Cox proportional hazards regression model. The model was internally validated by 2 000 Bootstrap resamples and evaluated for the performance of discrimination and calibration using the area under the receiver operating characteristic curve (AUC) and calibration curve, respectively. The net benefit of the developed prediction tool was evaluated by decision-curve analysis.Results:The M( Q1, Q3) age and follow-up time of the participants were 81.0 (71.0, 90.0) years and 6.0 (4.1, 9.2) years, respectively. A total of 4 126 older persons (30.2%) were recorded with frailty incidents during the follow-up, with the corresponding incidence density of 41.8/1 000 person-years. A total of 15 key predictors of frailty were selected by LASSO, namely, age, sex, race, education years, meat consumption, tea drinking, performing housework, raising domestic animals, playing cards or mahjong, and baseline status of visual function, activities of the daily living score, instrumental activities of the daily living score, hypertension, heart disease, and self-rated health. The prediction model was internally validated with an AUC of 0.802, with the max Youden's index of 0.467 at a risk threshold of 19.0%. The calibration curve showed high consistency between predicted probabilities and observed proportions of frailty events. The decision curve indicated that higher net benefits could be obtained via the prediction model than did strategies based on intervention in all or none participants for any risk threshold less than 59%, and the model-based net benefit was estimated to be 0.10 at a risk threshold of 19.0%. Conclusions:The herein developed 6-year incident risk prediction model of frailty, based on easily accessible questionnaires and physical examination variables, has good predictive performance. It has application potential in identifying populations at high risk of incident frailty.
7.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.
8.Construction and validation of a machine learning model for preoperative prediction of perineural invasion status in intrahepatic cholangiocarcinoma
Zuochao QI ; Zhenwei YANG ; Qingshan LI ; Hao YUAN ; Pengyu CHEN ; Haofeng ZHANG ; Yanbo WANG ; Dongxiao LI ; Bo MENG ; Haibo YU ; Deyu LI
Chinese Journal of Hepatobiliary Surgery 2024;30(6):424-430
Objective:To construct and validate a machine learning model for preoperative prediction of perineural invasion (PNI) status in intrahepatic cholangiocarcinoma (ICC).Methods:Clincial data of 329 patients, including 245 admitted to Zhengzhou University People's Hospital from January 2018 to June 2023 and 84 admitted to the Affiliated Cancer Hospital of Zhengzhou University from January 2013 to January 2020 were retrospectively analyzed. Patients were divided into a training set ( n=231) and a validation set ( n=98). Clinicopathological data including age, gender, hepatitis B virus (HBV) infection status were collected. Predictive variables were determined using least absolute shrinkage and selection operator (LASSO) regression analysis. Six machine learning algorithms including random forest (RF), logistic regression, and linear kernel-based support vector machine were selected to construct the preoperative prediction model for PNI in ICC. Performance metrics of the model were calculated using a confusion matrix, and the final model was selected. The model performance was evaluated in the validation set. Calibration curves were plotted to evaluate the final model, and a Pareto chart was used to visualize the importance of predictive variables. Results:LASSO regression identified nine predictive variables included in the prediction model, including carbohydrate antigen 19-9 (CA19-9), HBV infection status, alkaline phosphatase, alanine aminotransferase, prothrombin time, total bilirubin, albumin, neutrophil times gamma-glutamyl transferase to lymphocyte ratio, and tumor burden score. Among the trained six models, the area under the curve (AUC) of the RF model was 0.909, with a sensitivity of 0.842 and an accuracy of 0.870. Compared with the AUC of the RF model, the AUCs of the other 5 models were lower (all P<0.05). The AUC of the RF model for predicting PNI in ICC in validation set was 0.736. Calibration curves showed good fit of the RF model's prediction of PNI in ICC in both training and validation sets. The Pareto chart showed that CA19-9 was the most important predictive variable in the model, followed by HBV infection status. Conclusion:The machine learning model based on the RF algorithm has a high accuracy in preoperative prediction of PNI status in ICC.
9.Coincidence rate of adjustable and non adjustable desks and chairs in primary and secondary schools in Shanghai
OUYANG Fang, TAN Hui, ZHANG Li, YANG Yujuan, YI Lubo, WANG Zhenwei, RUAN Yifan
Chinese Journal of School Health 2023;44(2):287-290
Objective:
To understand the coincidence rate of adjustable and non adjustable desks and chairs in primary and secondary schools in Shanghai, so as to provide a reference for the effective management of desks and chairs in schools.
Methods:
Stratified random cluster sampling was applied to measure 1 091 sets of desks and chairs in 33 classrooms of 7 primary and secondary schools in 4 districts of Shanghai including Huangpu, Hongkou, Yangpu and Jiading districts. The height examination data of seated students in the same semester were also collected to evaluate the matching type of functional size of desks and chairs and students height according to Functional Sizes and Technical Requirements of Chairs and Tables for Educational Institutions.
Results:
The matching coincidence rate of desk and chair distribution in primary and secondary schools was 22.5%, and the matching coincidence rates of primary, middle and high schools were 11.7%, 27.1% and 40.9% respectively ( χ 2=83.23, P <0.01); the matching coincidence rate of adjustable desks and chairs (28.2%) was significantly higher than that of fixed (18.2%) ( χ 2=14.49, P <0.01). The type of distribution of desks and chairs that do not correspond to national standards, from elementary school to high school, showing a trend of high desks with high chairs, low desks with high chairs to high desks with low chairs.
Conclusion
The coincidence rate of desk and chair distribution in primary and secondary schools is low, and the adjustable desks and chairs has improved the problems to a certain extent, but has not significantly improved the coincidence rate. It is necessary to further explore the effective management mode in the use of adjustable desks and chairs and improve the current situation of the use of desks and chairs in schools.
10.Chinese consensus guidelines for therapeutic drug monitoring of polymyxin B, endorsed by the Infection and Chemotherapy Committee of the Shanghai Medical Association and the Therapeutic Drug Monitoring Committee of the Chinese Pharmacological Society.
Xiaofen LIU ; Chenrong HUANG ; Phillip J BERGEN ; Jian LI ; Jingjing ZHANG ; Yijian CHEN ; Yongchuan CHEN ; Beining GUO ; Fupin HU ; Jinfang HU ; Linlin HU ; Xin LI ; Hongqiang QIU ; Hua SHAO ; Tongwen SUN ; Yu WANG ; Ping XU ; Jing YANG ; Yong YANG ; Zhenwei YU ; Bikui ZHANG ; Huaijun ZHU ; Xiaocong ZUO ; Yi ZHANG ; Liyan MIAO ; Jing ZHANG
Journal of Zhejiang University. Science. B 2023;24(2):130-142
Polymyxin B, which is a last-line antibiotic for extensively drug-resistant Gram-negative bacterial infections, became available in China in Dec. 2017. As dose adjustments are based solely on clinical experience of risk toxicity, treatment failure, and emergence of resistance, there is an urgent clinical need to perform therapeutic drug monitoring (TDM) to optimize the use of polymyxin B. It is thus necessary to standardize operating procedures to ensure the accuracy of TDM and provide evidence for their rational use. We report a consensus on TDM guidelines for polymyxin B, as endorsed by the Infection and Chemotherapy Committee of the Shanghai Medical Association and the Therapeutic Drug Monitoring Committee of the Chinese Pharmacological Society. The consensus panel was composed of clinicians, pharmacists, and microbiologists from different provinces in China and Australia who made recommendations regarding target concentrations, sample collection, reporting, and explanation of TDM results. The guidelines provide the first-ever consensus on conducting TDM of polymyxin B, and are intended to guide optimal clinical use.
Humans
;
Anti-Bacterial Agents/therapeutic use*
;
China
;
Drug Monitoring/methods*
;
Polymyxin B
;
Practice Guidelines as Topic


Result Analysis
Print
Save
E-mail