1.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
2.Application of balloon-occluded retrograde transvenous obliteration in treatment of liver cirrhosis complications
Lixia XIN ; Hongbin ZHU ; Xiao LIU ; Chunqing ZHANG
Journal of Clinical Hepatology 2026;42(2):452-456
Gastric variceal rupture and bleeding and hepatic encephalopathy are common and life-threatening complications in decompensated cirrhosis. As a minimally invasive interventional technique, balloon-occluded retrograde transvenous obliteration (BRTO) has made significant progress in the clinical management of gastric varices and hepatic encephalopathy in recent years. This article systematically reviews the technical principles, indications (e.g., isolated gastric varices and refractory hepatic encephalopathy), clinical efficacy (an acute hemostasis rate of 85% — 95%, a 1-year rebleeding rate of <15%, and an improvement rate of 60% — 80% for hepatic encephalopathy), and safety (including complications such as renal impairment and elevated portal vein pressure) of BRTO. Meanwhile, this article discusses the advantages and disadvantages of BRTO and conventional treatment modalities (e.g., transjugular intrahepatic portosystemic shunt and endoscopic treatment) and reviews the latest technological improvements in recent years, such as coil-assisted retrograde transvenous obliteration and plug-assisted retrograde transvenous obliteration. Future research should focus on the precision of patient selection (e.g., stratification based on hemodynamic parameters), the optimization of embolic materials (e.g., application of new biodegradable embolic agents), and the development of individualized treatment regimens, so as to improve efficacy and reduce the risk of complications.
3.Expert consensus on visualized tele-round and quality control management based on the improvement of clinical practice ability
Wanhong YIN ; Xiaoting WANG ; Ran ZHOU ; Dawei LIU ; Yan KANG ; Yaoqing TANG ; Xiaochun MA ; Jianguo LI ; Zhenjie HU ; Haitao ZHANG ; Wei HE ; Lixia LIU ; Wenjin CHEN ; Ran ZHU ; Jun WU ; Hongmin ZHANG ; Lina ZHANG ; Wenzhao CHAI ; Shihong ZHU ; Wangbin XU ; Rongqing SUN ; Xiangyou YU ; Tianjiao SONG ; Ying ZHU ; Hong REN ; Ai SHANMU ; Qing ZHANG ; Wei FANG ; Xiuling SHANG ; Liwen LYU ; Shuhan CAI ; Xin DING ; Heng ZHANG ; Guang FENG ; Lipeng ZHANG ; Bo HU ; Dong ZHANG ; Weidong WU ; Feng SHEN ; Xiaojun YANG ; Zhenguo ZENG ; Qibing HUANG ; Xueying ZENG ; Tongjuan ZOU ; Milin PENG ; Yulong YAO ; Mingming CHEN ; Hui LIAN ; Jingmei WANG ; Yong LI ; Feng QU ; Gang YE ; Rongli YANG ; Xiukai CHEN ; Suwei LI ; Juxiang WANG ; Yangong CHAO
Chinese Journal of Internal Medicine 2025;64(2):101-109
Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.
4.Application of tumor specific protein 70 targeted enrichment of circulating tumor cell sequencing technology in non-small cell lung cancer
Lixia ZHANG ; Yutong ZHOU ; Shuxian YANG ; Qiong ZHU ; Jian XU ; Yuan MU ; Chunrong GU ; Huanyu JU ; Wei ZHANG ; Shiyang PAN
Chinese Journal of Laboratory Medicine 2025;48(6):737-742
Objective:To establish tumor specific protein (SP70) targeted tumor cell enrichment technology and to assess applicational value of next-generation sequencing (NGS) analysis for enriched circulating tumor cell (CTC) in precision medicines of non-small cell lung cancer (NSCLC).Methods:The monoclonal antibody NJ001 was covalently coupled to the surface of magnetic beads to build targeted magnetic bead enrichment technology based on SP70. The limit of detection, coincidence rate, interference experiment, recovery test and clinical performance were evaluated. From March 2016 to August 2017, NGS analysis with or without pre-treatment of targeted enrichment for serous fluids of 43 NSCLC in the First Affiliated Hospital with Nanjing Medical University were compared (Kappa or Fisher exact test).Results:The CTC enrichment technology based on SP70 targeted immunomagnetic beads can specifically enrich tumor cells. The limit of detection was 10 4 SPC-A1 cells/L, and the coincidence rate, sensitivity and specificity were 100% (3/3). The endogenous interfering substances such as red blood cells, hemoglobin, white blood cells, epithelial cells and triglycerides had no interfering effects, as well as the exogenous interfering substances such as EDTA-K2, cefoxitin, carboplatin and paclitaxel. The recovery rate was 56.0% (56 000/100 000). A total of 30 gene mutations including 65 loci were found in 43 NSCLC under SP70 targeted enrichment, with a higher detection rate compared with unenrichment method [95.0% (19/20) vs 65.0% (13/20), χ 2=5.625, P=0.044]. Conclusion:In this study, SP70-targeted enriched CTC liquid biopsy method was established, with higher sensitivity and specificity of NGS detection than unenrichment method.
5.Value of ultra high-frequency ultrasound measurement of artery intima thickness combined with monocyte to high-density lipoprotein cholesterol ratio in predicting the severity of coronary artery stenosis in premature coronary artery disease
Chenjing XU ; Jianjun YUAN ; Lixia WANG ; Yingjie CHU ; Xijun ZHANG ; Ming WU ; Yanyan GUO ; Haige YU ; Haohui ZHU
Chinese Journal of Ultrasonography 2025;34(2):114-121
Objective:To investigate the value of carotid,radial and podalic artery intima thickness(CIT,RIT,PIT)combined with monocyte to high-density lipoprotein ratio(MHR)in predicting the severity of coronary artery stenosis in patients with premature coronary artery disease(PCAD).Methods:A total of 80 patients with PCAD who received treatment in Henan Provincial People's Hospital from October 2023 to May 2024 were prospectively recruited,and they were divided into high group(≥41 score,40 cases)and low group(<41 score,40 cases)according to the median dichotomy of Gensini score. Thirty-four gender,age and body mass index(BMI)-matched healthy volunteers were selected as the control group. The CIT,RIT,PIT,media and intima media thickness of carotid,radial artery and podalic artery(CMT,RMT,PMT,CIMT,RIMT,PIMT)were measured using 24 MHz ultra-high frequency ultrasound probe,and the ratio of intima to media thickness(CIT/CMT,RIT/RMT,PIT/PMT)was calculated. The differences of general clinical data,laboratory indexes and ultrasonic parameters among the three groups were compared. Risk factors affecting the severity of coronary stenosis in PCAD patients were explored by binary logistic regression. Subject working characteristic curves were plotted,area under the curve(AUC)was calculated,and the values of each ultrasound parameter and MHR in the independent and combined diagnosis of the severity of coronary artery stenosis in PCAD patients were evaluated.Results:①There were no statistically significant differences in age,gender,BMI,total cholesterol,CMT,RMT and PMT among the three groups(all P>0.05). There were no statistically significant differences in the comparison of smoking,hypertension,diabetes mellitus,systolic blood pressure,diastolic blood pressure,low-density lipoprotein cholesterol,total cholesterol,and triglycerides between the two subgroups of the PCAD(all P>0.05). ②CIT,CIMT,CIT/CMT,RIT,RIMT,RIT/RMT,PIT,PIMT,PIT/PMT were thickened in the high group compared with the low group,and MHR was higher than in the low group(all P<0.05),the differences in the above parameters remained statistically significant when comparing the PCAD group with the control group(all P<0.05). ③The AUC values for MHR,CIT,RIT and PIT alone to predict the severity of coronary stenosis in patients with PCAD were 0.781,0.767,0.780 and 0.722,respectively. The combined diagnostic efficiency of the four parameters was better than the independent diagnostic efficiency(AUC = 0.885). Conclusions:CIT,RIT and PIT are thicker in PCAD patients with high Gensini score and the combination of artery intima thickness and MHR has good efficacy in predicting the severity of coronary artery stenosis in PCAD patients.
6.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.
7.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
8.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; 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 ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
9.Evaluation of the filling effects of three root canal sealers by Micro-CT.
Rihong HUANG ; Xiangni ZENG ; Li JIANG ; Lixia ZHANG ; Jingya ZHU ; Fei HE
West China Journal of Stomatology 2025;43(5):722-727
OBJECTIVES:
This study aimed to evaluate the filling effects of three biomaterial root canal sealers [iRoot SP, C-Root SP, and GuttaFlow Bioseal (GFB)] by using Micro-CT.
METHODS:
Sixty single-canal detached premolars were selected. After crown amputation, their uniform working length was set at 12 mm and prepared to a 06 taper 30# with M3 nickel-titanium file. The samples were randomly divided into six groups with different sealers and obturation techniques: iRoot SP+single-cone technique (SC), C-Root SP+SC, GFB+SC, iRoot SP+single cone-mediated ultrasonic technique (SU), C-Root SP+SU, and GFB+SU. Samples were scanned by Micro-CT, and the total and segmented filling rates were calculated with Mimics 22.0 software after 3D reconstruction.
RESULTS:
The overall filling rate of the three biomaterial root canal sealers was higher than 90%. The overall and coronal third and middle third segment filling rate of groups iRoot SP+SC, C-Root SP+SC was higher than that of group GFB+SC (P<0.01), with no significant difference between groups iRoot SP+SC and C-Root SP+SC (P>0.05). On the apical third, no significant difference was found among each group (P>0.05). The overall and segment filling rate of groups iRoot SP+SU and C-Root SP+SU was higher than that of GFB+SU (P<0.01), with no significant difference between groups iRoot SP+SU and C-Root SP+SU (P>0.05). The filling rate of the apical 1/3 of group C-Root+SC was lower than that of group C-Root+SU (P<0.01), and the filling rate of the coronal 1/3 of group GFB+SC was higher than that in the GFB+SU (P<0.01). Nevertheless, no significant difference was found in other filling rate of two obturation techniques (P>0.05).
CONCLUSIONS
The overall filling rate of the three biomaterial root canal sealers using SC and SU are satisfactory. iRoot SP and C-Root SP have similar filling rates, which are significantly higher than that of GFB. C-Root SP combined with SU technique can improve the filling quality of the root apical.
Root Canal Filling Materials
;
X-Ray Microtomography
;
Humans
;
Root Canal Obturation/methods*
;
Gutta-Percha
;
Dimethylpolysiloxanes
;
Drug Combinations
;
Dental Pulp Cavity/diagnostic imaging*
;
Bicuspid
10.Construction and validation of a nutritional risk prediction model for patients with radiation oral mucositis
Lijun ZHU ; Lixia ZHU ; Guoying XU ; Jingsong YANG
Chongqing Medicine 2025;54(7):1611-1617,1622
Objective To investigate the influencing factors of nutritional risk in patients with radia-tion-induced oral mucositis and establish a predictive model.Methods A total of 126 patients with nasopha-ryngeal carcinoma and radiation-induced oral mucositis who visited the General Hospital of Shaoxing Second Hospital Affiliated Healthcare Group,Dongpu Street Community Health Service Center in Yuecheng District,Shaoxing City,and the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to January 2023 were selected as the model group and divided into the nutritional risk group and the nutrition-ally normal group according to the presence or absence of nutritional risk.Meanwhile,54 patients with radia-tion-induced oral mucositis due to nasopharyngeal carcinoma from February 2023 to March 2024 were selected as the validation group.Logistic regression was used to establish a risk prediction model,and a nomogram was developed and validated.Results Multivariate analysis showed that digestive discomfort symptoms,dietary structure score,and anxiety were factors influencing nutritional risk in patients with radiation-induced oral mucositis.In the model group,the area under the ROC curve was 0.992(95%CI:0.977 to 1.000),the maxi-mum Youden index was 0.961,corresponding specificity was 0.961,sensitivity was 1.000,χ2=4.668,P=0.792.In the validation group,the area under the ROC curve was 0.948(95%CI:0.897 to 0.999),the maxi-mum Youden index was 0.742,corresponding specificity was 0.742,sensitivity was 1.000,χ2=4.438,P=0.816.The model demonstrated good predictive ability.Conclusion A predictive model for nutritional risk factors in patients with radiation-induced oral mucositis is successfully constructed and can provide clinical reference.

Result Analysis
Print
Save
E-mail