1.Exploration of epidemiological characteristics of multidrug-resistant organisms among burn wound patients and prevention and control strategies based on worldwide database for nosocomial outbreaks
Jiao SHAN ; Wei HUAI ; Shanshan MENG ; Meng JIN ; Xiaoyuan BAO ; Yulong CAO ; Hong LI ; Hui CHEN
Chinese Journal of Nosocomiology 2025;35(17):2592-2596
OBJECTIVE To investigate the epidemiological characteristics of hospital-associated infections caused by multidrug-resistant organisms(MDROs)among the burn wound patients so as to provide bases for taking tar-geted control measures.METHODS A systematic search was conducted in the worldwide database for nosocomial outbreaks,PubMed and CNKI databases so as to summarize and analyze the data regarding to outbreaks of MDROs hospital-associated infections among burn wound patients.RESULTS A total of 61 incidents of MDROs hospital-associated infections outbreaks among the burn wound patients were included,involving 2 293 patients from 21 countries and regions,50(81.97%)of which were reported for the infection sites or colonization sites in-volving burn wound,12(19.67%)involving the respiratory tract,10(16.39%)involving the bloodstream infec-tions.Methicillin-resistant Staphylococcus aureus(28 incidents,45.90%)was dominant among the pathogens causing the infections,followed by multidrug-resistant Acinetobacter baumannii(17 incidents,27.87%)and multidrug-resistant Pseudomonas aureus(9 incidents,14.75%).52 incidents(82.25%)of outbreaks were reported the contact as the major transmission mode.The suspected sources of the outbreaks included the patients(37 incidents,28.46%),health care workers(30 incidents,23.08%),ward environments(28 incidents,21.54%),medical equipments(19 incidents,30.56%),drainage systems(6 incidents,4.62%).The major pre-vention and control measures included environmental cleaning and disinfection,screening of colonization in patients and health care workers,isolation of patients with infections and hand hygiene;8 incidents were taken the measure of closing the ward.CONCLUSIONS The outbreaks of MDROs infections in the burn wound patients are mostly associated with the high frequently contact environments,medical equipments and hand hygiene of health care workers.In view of the peculiarities of the burn wound patients,it is feasible to take the targeted measures based on the summarized prevention and control combinations for MDROs so as to prevent the outbreak of hospital-asso-ciated infections.
2.CT-Based Radiomics for Predicting the Therapeutic Effect of Hepatocellular Carcinoma After Transcatheter Arterial Chemoembolization
Han YANG ; Hao LI ; Gengfei CAO ; Yingjun BAO ; Diwen ZHU ; Junpeng GU ; Weixin REN
Chinese Journal of Medical Imaging 2025;33(3):252-259
Purpose To identify hepatocellular carcinoma that responds to repetitive transcatheter arterial chemoembolization(TACE)based on CT radiomics.Materials and Methods A total of 96 patients diagnosed as hepatocellular carcinoma in the First Affiliated Hospital of Xinjiang Medical University from February 2018 to May 2024 were randomly divided into a training group(n=67)and internal validation group(n=29)at a ratio of 7∶3.All patients received three or more TACE treatments.Radiomics features were extracted from lipiodol of the target-lesions by semi-automatic segmentation on the axial CT image after TACE within 24 hours.The radiomics model were constructed by five features for differentiating non-response group from response group.Receiver operating characteristic curve analysis and decision curve were performed to evaluate the performance of the model.Results Child-Pugh classification(OR=2.737,P<0.05),BCLC stage(OR=2.907,P<0.05),multifocal tumors(OR=4.505,P<0.01)and alpha-fetoprotein(OR=1.002,P<0.01)were independent risk factors for predicting tumor response after TACE.The area under the curve of the non-contrast CT based model and the arterial-enhanced CT based model were 0.813 and 0.831 in the experimental group;0.748 and 0.788 in the validation group,respectively.Both of the two models showed good prediction performance.Conclusion The radiomics model based on CT imaging features after first TACE is effectively for differentiating non-response group from response group,lipiodol retention patterns from the target lesion can be the imaging biomarkers for TACE response prediction.
3.CT-Based Radiomics for Predicting the Therapeutic Effect of Hepatocellular Carcinoma After Transcatheter Arterial Chemoembolization
Han YANG ; Hao LI ; Gengfei CAO ; Yingjun BAO ; Diwen ZHU ; Junpeng GU ; Weixin REN
Chinese Journal of Medical Imaging 2025;33(3):252-259
Purpose To identify hepatocellular carcinoma that responds to repetitive transcatheter arterial chemoembolization(TACE)based on CT radiomics.Materials and Methods A total of 96 patients diagnosed as hepatocellular carcinoma in the First Affiliated Hospital of Xinjiang Medical University from February 2018 to May 2024 were randomly divided into a training group(n=67)and internal validation group(n=29)at a ratio of 7∶3.All patients received three or more TACE treatments.Radiomics features were extracted from lipiodol of the target-lesions by semi-automatic segmentation on the axial CT image after TACE within 24 hours.The radiomics model were constructed by five features for differentiating non-response group from response group.Receiver operating characteristic curve analysis and decision curve were performed to evaluate the performance of the model.Results Child-Pugh classification(OR=2.737,P<0.05),BCLC stage(OR=2.907,P<0.05),multifocal tumors(OR=4.505,P<0.01)and alpha-fetoprotein(OR=1.002,P<0.01)were independent risk factors for predicting tumor response after TACE.The area under the curve of the non-contrast CT based model and the arterial-enhanced CT based model were 0.813 and 0.831 in the experimental group;0.748 and 0.788 in the validation group,respectively.Both of the two models showed good prediction performance.Conclusion The radiomics model based on CT imaging features after first TACE is effectively for differentiating non-response group from response group,lipiodol retention patterns from the target lesion can be the imaging biomarkers for TACE response prediction.
4.Ibuprofen Oral Administration Protocols for Analgesia After Cesarean Delivery: A Prospective Randomized Controlled Study
Shuang LI ; Ju BAO ; Yuan QU ; Bo ZHANG ; Xinni CAO ; Yanping HUANG ; Zhe LIU
Maternal-Fetal Medicine 2025;07(2):69-75
Objective::To compare the analgesic effects of ibuprofen administered orally via two modes combined with a conventional, patient-controlled intravenous analgesia pump on maternal pain after cesarean section (CS).Methods::This prospective, randomized, controlled study enrolled females who underwent CS from August 2022 to August 2023 at Peking University First Hospital, Beijing, China. Participants were randomly assigned to either an as-needed ibuprofen group (300 mg orally upon request) or a scheduled ibuprofen group (300 mg every 12 hours for 48 hours). The primary outcomes assessed were postoperative pain levels using the Wong-Baker Faces Pain Scale-Revised and cumulative oxycodone consumption at multiple time points up to 48 hours post-delivery. Secondary outcomes included recovery parameters (time to first flatus, ambulation, and lactation initiation), patient satisfaction with pain control, and postpartum depression scores evaluated by the Edinburgh Postnatal Depression Scale on postoperative day 3. Normally distributed data analyzed with t-tests; non-normal data with Mann-Whitney U tests; categorical variables with chi-square or Fisher’s exact tests (SPSS 26.0, P < 0.05). Results::After excluding 61 non-eligible cases, 339 patients were included (171 as-needed vs. 168 scheduled). The scheduled group showed significantly better pain control at 12 hours (4.00 (2.00-5.50) vs. 4.00 (4.00-6.00), P < 0.001), 24 hours (4.00 (2.00-4.00) vs. 4.00 (2.00-6.00), P < 0.001), and 36 hours (2.00 (2.00-4.00) vs. 4.00 (2.00-4.00), P < 0.001), and 48 hours (2.00 (2.00-4.00) vs. 2.00 (2.00-4.00), P = 0.004) post-delivery and lower levels of oxycodone consumption at 36 hours (10.20 (8.20-13.35) vs. 11.00 (8.80-14.40), P = 0.042) and 48 hours (12.40 (10.40-15.95) vs. 13.80 (11.00-16.00), P = 0.020) postpartum compared with those in the as-needed group. Additionally, the time to the return of bowel movements was shorter in the scheduled group than in the as-needed group (23.50 (16.94, 31.47) vs. 27.00 (19.88, 35.97), P = 0.004). Differences in post-delivery ambulation, lactation initiation, satisfaction levels, and depression scores were not significantly different between the two groups. Conclusion::The results of this study promote the use of ibuprofen (scheduled oral administration) combined with a conventional, patient-controlled intravenous analgesia pump for achieving better post-CS pain control than an as-needed dosage regimen.Registration::Chinese Clinical Trial Registry, ChiCTR2400082474.
5.The research on the association between genetic alterations of DLBCLs and 18F-FDG PET/CT SUVmax and their clinical significance
Tian TIAN ; Chen CHEN ; Ran WEI ; Longlong BAO ; Bingxin GU ; Qunling ZHANG ; Junning CAO ; Baohua YU ; Xiaoqiu LI ; Xiaoyan ZHOU
China Oncology 2025;35(6):531-542
Background and purpose:Next generation sequencing-identified genetic alterations of diffuse large B cell lymphoma(DLBCL)and baseline SUVmax detected by 18F-FDG PET/CT were correlated with patients'prognosis.However,their relationship and the associations with R-CHOP response of DLBCL are still unclear.This study aimed to analyze the association bewteen genetic alterations and 18F-FDG PET/CT SUVmax and their correlations with clinicopathological characteristics and R-CHOP response of DLBCL.Methods:A total of 225 cases of primary DLBCL detected by next generation sequencing using 481 lymphoma gene panel and examined by 18F-FDG PET/CT before treatment between 2022 and 2023 were collected.This study was approved by the Ethics Committee of Fudan University Shanghai Cancer Center(Ethical No.:050432-4-2307E)and acquired the informed consent of the patients.The translocations of BCL2,BCL6 and MYC were identified by fluorescence in situ hybridization.The clinicopathological characteristics and the PET/CT scan after R-CHOP chemotherapy were collected.Results:Finally,191 patients were enrolled in this study.The frequency of MYD88 mutation,TP53 mutation,copy number variations of CDKN2A/2B,CD79B mutation in the 191 DLBCL patients were 24.6%,27.2%,32.5%and 16.8%,respectively.The range of baseline SUVmax was 5.10-63.10(24.44±10.70,median 22.80).The baseline SUVmax of MYD88L265P DLBCL was significantly higher than that of MYD88 wild type(P=0.039).There were no significant associations of SUVmax with other gene alterations including TP53 mutation,CDKN2A/B loss,CD79B mutation,KMT2D mutation,TNFAIP3 mutation,B2M mutation,EZH2 mutation,BTG1/2 mutation,CREBBP mutation,gene translocations of MYC,BCL2 and BCL6.The higher SUVmax before treatment was correlated with higher serum lactate dehydrogenase(LDH)level(P=0.012)and non-germinal center B-cell-like(non-GCB)DLBCL(P=0.040).However,there was no significant association of SUVmax with R-CHOP response(P=0.714).TP53 mutation was significantly associated with the poor response of R-CHOP(P=0.001)and was an independent predictor of non-complete metabolic response(non-CMR).TP53 mutation combined with Ann Arbor stage,International Prognostic Index(IPI)score and serum LDH level could better predict R-CHOP response than each factor alone.Conclusion:MYD88L265P DLBCL had higher baseline 18F-FDG PET/CT SUVmax.The baseline SUVmax was not associated with R-CHOP response.However,TP53 mutation was significantly correlated with poor response of R-CHOP in DLBCL patients.TP53 mutation combined with clinicopathological characteristics could better predict R-CHOP response.The associations of gene alterations and SUVmax with prognosis of DLBCL patients needed to be explored in the future.
6.Risk prediction models for periprosthetic joint infection after total joint arthroplasty:a systematic evaluation
Jiao SHAN ; Wei HUAI ; Xiaoyuan BAO ; Meng JIN ; Yulong CAO ; Hong LI
Chinese Journal of Infection Control 2025;24(8):1066-1074
Objective To systematically evaluate the research progress of risk prediction models for periprosthetic joint infection(PJI)after total joint arthroplasty(TJA),analyze the limitations of current researches,and propose optimized suggestions.Methods Chinese and English databases such as PubMed,Embase,Web of Science,Co-chrane Library,SinoMed,Wanfang Database,VIP Database,and CNKI were retrieved systematically.The re-trieved period was from the establishment of each database to August 31,2024.Two researchers independently screened literatures and extracted data according to the CHARMS checklist,and the risk of bias in the included studies was evaluated by the PROBAST tool.Results A total of 14 studies were included in this study,involving 17 prediction models.The most common predictors included history of diabetes mellitus,obesity(body mass index[BMI]≥30 kg/m2),advanced age(≥65 years old),history of traumatic fracture,and prolonged operation time(≥2 hours).All of the included studies had high risks of bias,mainly study subject selection bias(such as single-center sample)and statistical analysis bias(such as unadjusted confounding factors).Conclusion Most of the cur-rently published risk prediction models for PJA after TJA have good predictive performance,however,there are sig-nificant limitations in the research design,especially in the insufficient control of bias risk.Future research needs to focus on improving methodological design,including adoption of prospective multi-center studies,definition of standardized predictive variables,and sufficient adjustment of confounding factors.
7.Analysis of Tongue Image Features in Patients with Idiopathic Membranous Nephropathy at Different Risk Levels
Haiyu GUAN ; Siqiao TANG ; Ping LI ; Wenjun SHAN ; Xiaofan HONG ; Yue CAO ; Lihong YANG ; Kun BAO
Journal of Guangzhou University of Traditional Chinese Medicine 2025;42(1):9-17
Objective To analyze the correlation between tongue image features and the risk levels of disease in patients with idiopathic membranous nephropathy(IMN).Methods Based on IMN clinical research electronic data acquisition system,a cross-sectional study method was used to analyze the clinical diagnosis and treatment data of 135 IMN patients from Guangdong Provincial Hospital of Chinese Medicine.The patients were grouped according to the risk levels of disease,and then the correlation between the risk levels of disease and tongue image features was analyzed.During the description of tongue image features,TB is for tongue body,TC is for tongue coating,L is for luminance,a is for red-green axis,G is for the value of green,B is for the value of blue,and AUT is for the value of autocorrelation.Results The comparison of tongue image feature indicators of patients with different risk levels of IMN showed that:(1)the higher the level of disease risk of IMN patients,the greater the values of TB-L,TB-G and TB-B(P<0.05 or P<0.01).The values of tongue image indicator TB-a and TC-a of the patients with different risk levels of IMN were shown in decreasing sequence:low-risk group>high-risk group>middle-risk group>extremely-high-risk group(P<0.05).(2)Linear regression analysis showed that TB-L,TB-G,and TB-B were significantly increased in the high-risk group compared with those in the middle-and low-risk groups(P<0.05 or P<0.01),whereas there were no significant differences between the middle-risk group and low-risk group(P>0.05).(3)The results of correlation analysis showed that there was a positive correlation among most of the tongue image feature indicators(including TB-L,TB-G,TB-B,TB-AUT,TC-L,TC-G,and TC-B,etc.)and the risk level of disease,while TB-a was negatively correlated with the risk level of disease,and the differences were all statistically significant(P<0.05 or P<0.01).(4)All patients were treated with Chinese medicine and/or Chinese patent medicine,and 46.7%of patients were given hormones and immunosuppressants,and there was no statistically significant difference in the the use of hormones and immunosuppressants among various groups(P=0.637).Conclusion There is a correlation between the tongue image features of IMN patients and the risk level of disease,and the results will provide an objective reference for the assessment of illness state and traditional Chinese medicine(TCM)syndrome differentiation of IMN patients.With reference to the changes in the tongue image features,the illness state can be precisely identified,which is more accurate than the inspection of four diagnostic methods of TCM.
8.Establishment of A Model Combining with Traditional Chinese Medicine Syndrome for Predicting the Risk of Disease Progression in Patients with Membranous Nephropathy
Xiaoyan HUANG ; Xian LI ; Kun ZOU ; Xiaofan HONG ; Yue CAO ; Xing LIANG ; Rongrong WANG ; Ping LI ; Daixin ZHAO ; Wu ZHOU ; Kun BAO
Journal of Guangzhou University of Traditional Chinese Medicine 2025;42(3):774-781
Objective To construct a model combining with traditional Chinese medicine(TCM)syndrome for predicting the risk of disease progression in patients with idiopathic membranous nephropathy(IMN)by machine learning methods,thus to quantitatively evaluating the value of TCM syndrome in the prediction of the risk of disease progression in IMN.Methods Monofactor analysis,recursive feature elimination(RFE)and multivariate binary Logistic regression analysis were used to screen the independent related factors affecting the risk of disease progression of IMN,and then a risk prediction model was constructed.A total of 102 patients with IMN were randomly assigned to the training set and the test set in a ratio of 65∶35,and then the comparison was conducted in the performance indicators of accuracy,sensitivity,specificity,F1 value,and area under the receiver operating characteristic(ROC)area under the curve(AUC)of the risk prediction model with or without the inclusion of the TCM syndrome information.Results Before the inclusion of TCM syndrome information,12 clinical characteristic variables for patients with MN were obtained after monofactor analysis combined with RFE screening,and they were age,hemoglobin quantification,urinary occult blood,24-hour urine protein quantification,urine protein-creatinine ratio,estimated glomerular filtration rate(eGFR),creatinine,uric acid,alanine transaminase,anti-phospholipase A2 receptor antibody(PLA2R-Ab),total cholesterol,and low-density lipoprotein cholesterd.A risk cholesterol prediction model containing the above variables was constructed.The multivariate binary Logistic regression analysis showed that the differences of the clinical variables mentioned above between the training-set group and test-set group were statistically significant,and the risk prediction model presented good sensitivity and predictability.Monofactor analysis combined with RFE screening was performed again after the inclusion of TCM syndrome information,and then 14 variables were obtained,which included blood stasis syndrome and dampness obstruction syndrome.The sensitivity and specificity of the model with the inclusion of the TCM syndrome information were significantly improved when compared with those without the inclusion of TCM syndrome information.Conclusion The results of the study initially indicate that TCM syndrome can be used as an important supplementary variable for predicting the risk of disease progression in IMN,and will provide a reference for intelligent diagnosis through the integration of traditional Chinese and western medicine information,and will supply the guidance for the treatment of IMN with TCM.
9.Exploration of epidemiological characteristics of multidrug-resistant organisms among burn wound patients and prevention and control strategies based on worldwide database for nosocomial outbreaks
Jiao SHAN ; Wei HUAI ; Shanshan MENG ; Meng JIN ; Xiaoyuan BAO ; Yulong CAO ; Hong LI ; Hui CHEN
Chinese Journal of Nosocomiology 2025;35(17):2592-2596
OBJECTIVE To investigate the epidemiological characteristics of hospital-associated infections caused by multidrug-resistant organisms(MDROs)among the burn wound patients so as to provide bases for taking tar-geted control measures.METHODS A systematic search was conducted in the worldwide database for nosocomial outbreaks,PubMed and CNKI databases so as to summarize and analyze the data regarding to outbreaks of MDROs hospital-associated infections among burn wound patients.RESULTS A total of 61 incidents of MDROs hospital-associated infections outbreaks among the burn wound patients were included,involving 2 293 patients from 21 countries and regions,50(81.97%)of which were reported for the infection sites or colonization sites in-volving burn wound,12(19.67%)involving the respiratory tract,10(16.39%)involving the bloodstream infec-tions.Methicillin-resistant Staphylococcus aureus(28 incidents,45.90%)was dominant among the pathogens causing the infections,followed by multidrug-resistant Acinetobacter baumannii(17 incidents,27.87%)and multidrug-resistant Pseudomonas aureus(9 incidents,14.75%).52 incidents(82.25%)of outbreaks were reported the contact as the major transmission mode.The suspected sources of the outbreaks included the patients(37 incidents,28.46%),health care workers(30 incidents,23.08%),ward environments(28 incidents,21.54%),medical equipments(19 incidents,30.56%),drainage systems(6 incidents,4.62%).The major pre-vention and control measures included environmental cleaning and disinfection,screening of colonization in patients and health care workers,isolation of patients with infections and hand hygiene;8 incidents were taken the measure of closing the ward.CONCLUSIONS The outbreaks of MDROs infections in the burn wound patients are mostly associated with the high frequently contact environments,medical equipments and hand hygiene of health care workers.In view of the peculiarities of the burn wound patients,it is feasible to take the targeted measures based on the summarized prevention and control combinations for MDROs so as to prevent the outbreak of hospital-asso-ciated infections.
10.Propofol Promotes Anesthesia Through the Activation of Centrally-Projecting Edinger-Westphal Nucleus Urocortin 1-Positive Neurons.
Jing HUANG ; Yiwen HU ; Sheng JING ; Fuhai BAI ; Zonghong LONG ; Zhuoxi WU ; Liang FANG ; Lei CAO ; Youliang DENG ; Xiaohang BAO ; Hong LI
Neuroscience Bulletin 2025;41(6):1109-1114

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