1.Predicting Postoperative Circulatory Complications in Older Patients: A Machine Learning Approach.
Xiao Yun HU ; Wei Xuan SHENG ; Kang YU ; Jie Tai DUO ; Peng Fei LIU ; Ya Wei LI ; Dong Xin WANG ; Hui Hui MIAO
Biomedical and Environmental Sciences 2025;38(3):328-340
OBJECTIVE:
This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients.
METHODS:
This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments.
RESULTS:
Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872.
CONCLUSION
We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged
;
Aged, 80 and over
;
Female
;
Humans
;
Male
;
Middle Aged
;
Cardiovascular Diseases/etiology*
;
Machine Learning
;
Postoperative Complications/etiology*
;
Risk Factors
;
Randomized Controlled Trials as Topic
;
Secondary Data Analysis
2.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
3.Application of a verifiable self-study model for continuing medical education of general practitioners
Meng ZHANG ; Jinxiang ZHANG ; Jing KANG ; Jingjing WAN ; Yun LIU ; Hui WEN ; Lei JIANG ; Wen PENG
Chinese Journal of General Practitioners 2024;23(9):974-977
High quality continuing medical education is important to ensure the clinical competence of doctors. However, the current continuing medical education of general practitioners has some problems, such as low motivation to participate in and poor training effect. We tried a new model of continuing medical education to deal with these problems. In this new model, position competence improvement is the aim, online group learning is the main method, individualized learning goals are developed and results are evaluated in verifiable ways.
4.Rapid detection of zearalenone in Coicis Semen based on ELISA.
Yun-Xiang LIU ; Peng-Chao GAO ; Zhi-Lai ZHAN ; Li-Ping KANG ; Tie-Gui NAN ; Yuan YUAN
China Journal of Chinese Materia Medica 2023;48(11):2919-2924
Zearalenone(ZEN) is a toxic metabolite produced by Fusarium culmorum, F. graminearum, F. tricinctum, and other fungi, with estrogenic characteristics. Exposure to or ingestion of ZEN during pregnancy can cause reproductive dysfunction, miscarriage, stillbirth, and malformation, and seriously endanger human life and health. The detection methods for ZEN in the Chinese Pharmacopoeia(2020 edition) are liquid chromatography(LC) and liquid chromatography-mass spectrometry(LC-MS), and it is stipulated that ZEN should not exceed 500 μg in 1 000 g of Coicis Semen. Although these detection methods by instruments can achieve the qualitative and quantitative analysis of ZEN in Coicis Semen, their high detection cost and long periods hinder the rapid screening of a large number of samples in the field. In this study, the synthesized ZEN hapten was conjugated with bovine serum albumin(BSA) and ovalbumin(OVA) to obtain the complete ZEN antigen. By virtue of antibody preparation techniques, ZEN monoclonal antibody 4F6 was prepared, which showed 177.5%, 137.1%, and 109.7% cross-reactivity with ZEN structural analogs zearalanol, zearalenone, and α-zearalenol, respectively, and no cross-reactivity with other fungal toxins such as aflatoxin. Direct competitive enzyme-linked immunosorbent assay(dcELISA) based on ZEN monoclonal antibody 4F6 was developed for the determination of ZEN in Coicis Semen with an IC_(50) of 1.3 μg·L~(-1) and a detection range of 0.22-21.92 μg·L~(-1). The recoveries were 83.91%-105.3% and the RSD was 4.4%-8.0%. The established dcELISA method was used to determine the ZEN residuals in nine batches of Coicis Semen samples, and the results were validated by LC-MS. The correlation between the two detection methods was found to be 0.993 9, indicating that the established dcELISA could be used for the rapid qualitative and quantitative detection of ZEN residuals in Coicis Semen.
Humans
;
Female
;
Pregnancy
;
Zearalenone
;
Coix
;
Enzyme-Linked Immunosorbent Assay
;
Mycotoxins
;
Antibodies, Monoclonal
5.Course of disease and related epidemiological parameters of COVID-19: a prospective study based on contact tracing cohort.
Yan ZHOU ; Wen Jia LIANG ; Zi Hui CHEN ; Tao LIU ; Tie SONG ; Shao Wei CHEN ; Ping WANG ; Jia Ling LI ; Yun Hua LAN ; Ming Ji CHENG ; Jin Xu HUANG ; Ji Wei NIU ; Jian Peng XIAO ; Jian Xiong HU ; Li Feng LIN ; Qiong HUANG ; Ai Ping DENG ; Xiao Hua TAN ; Min KANG ; Gui Min CHEN ; Mo Ran DONG ; Hao Jie ZHONG ; Wen Jun MA
Chinese Journal of Preventive Medicine 2022;56(4):474-478
Objective: To analyze the course of disease and epidemiological parameters of COVID-19 and provide evidence for making prevention and control strategies. Methods: To display the distribution of course of disease of the infectors who had close contacts with COVID-19 cases from January 1 to March 15, 2020 in Guangdong Provincial, the models of Lognormal, Weibull and gamma distribution were applied. A descriptive analysis was conducted on the basic characteristics and epidemiological parameters of course of disease. Results: In total, 515 of 11 580 close contacts were infected, with an attack rate about 4.4%, including 449 confirmed cases and 66 asymptomatic cases. Lognormal distribution was fitting best for latent period, incubation period, pre-symptomatic infection period of confirmed cases and infection period of asymptomatic cases; Gamma distribution was fitting best for infectious period and clinical symptom period of confirmed cases; Weibull distribution was fitting best for latent period of asymptomatic cases. The latent period, incubation period, pre-symptomatic infection period, infectious period and clinical symptoms period of confirmed cases were 4.50 (95%CI:3.86-5.13) days, 5.12 (95%CI:4.63-5.62) days, 0.87 (95%CI:0.67-1.07) days, 11.89 (95%CI:9.81-13.98) days and 22.00 (95%CI:21.24-22.77) days, respectively. The latent period and infectious period of asymptomatic cases were 8.88 (95%CI:6.89-10.86) days and 6.18 (95%CI:1.89-10.47) days, respectively. Conclusion: The estimated course of COVID-19 and related epidemiological parameters are similar to the existing data.
COVID-19
;
Cohort Studies
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Contact Tracing
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Humans
;
Incidence
;
Prospective Studies
6.Digitalized analysis of the gingival and bone morphology in the maxillary anterior teeth in patient with posterior dental implant.
Wei ZHANG ; Ying LI ; Bing LIU ; Tao HONG ; Yun Jing LONG ; Li Peng LIU ; Wei Kang AN ; Chu Fan MA
Chinese Journal of Stomatology 2022;57(4):340-345
Objective: To explore and analyze the correlation between labial gingival morphology and alveolar bone morphology of maxillary anterior teeth in patients with posterior dental implant, so as to provide reference basis for restoration design and esthetic reconstruction of anterior teeth. Methods: Sixty-four patients [24 males, 40 females (25.6±3.3) years old] who planned to receive posterior dental implant restoration were recruited randomly with the inclusion and exclusion criteria in Department of Prosthodontics, School of Stomatology, The Fourth Military Medical University from May 2020 to May 2021. According to the visibility of periodontal probe through gingival margin, the subjects were divided into thin and thick gingival biotypes, including 29 cases of thin biotype and 35 cases of thick biotype. The 3Shape software was used to perform oral scanning, and cone beam CT (CBCT) was taken for each patient. Geomagic and Mimics software were used to measure and record the labial crown width and length, gingival papilla height, gingival angle, bone papilla height and bone margin angle of maxillary anterior teeth. Results: The crown width length ratios of maxillary central incisors, lateral incisors and canines were 0.85±0.08, 0.80±0.08 and 0.86±0.09 (F=10.71, P<0.01). The height of gingival papilla between maxillary central incisors, between central incisors and lateral incisors, between lateral incisors and canines were (3.93±0.86), (3.47±0.84) and (3.38±0.91) mm respectively (F=7.44, P<0.01), and the height of corresponding bone papilla were (3.44±0.88), (3.12±0.75) and (2.72±0.63) mm respectively (F=14.26, P<0.01). The gingival margin angles of maxillary central incisors, lateral incisors and canines were 88.3°±7.7°, 84.7°±8.9° and 81.2°±6.6° (F=13.15, P<0.01), and the bone margin angles were 103.2°±13.1°, 99.5°±11.2° and 110.6°±13.0° (F=13.25, P<0.01). The crown width length ratio (0.81±0.08), gingival margin angle (82.2°±7.4°) and bone margin angle (99.4°±12.9°) of thin gingival subjects were significantly lower than those of thick gingival subjects (0.85±0.09, 86.5°±8.6°, 108.5°±11.4°) (t=-2.79, 3.63, 5.20, P<0.01). The height of gingival papilla [(3.93±0.81) mm] and bone papilla [(3.43±0.80) mm] in thin gingival subjects were significantly lower than those in thick gingival subjects [(3.34±0.84) and (2.85±0.71) mm, respectively] (t=-4.89, -5.36, P<0.01). The height of labial gingival papilla of upper anterior teeth was positively correlated with that of bone papilla in all patients (r=0.66, P<0.01); the ratio of crown width to length of upper anterior teeth was positively correlated with the angle of bone margin (r=0.42, P<0.01); the height of anterior gingival papilla was negatively correlated with the angle of bone margin (r=-0.58, P<0.01), and the height of bone papilla was negatively correlated with the angle of bone margin (r=-0.82, P<0.01). Conclusions: The crown shape, gingival shape and alveolar bone shape of maxillary anterior teeth were different in different tooth positions. Patients with different periodontal phenotypes had different crown width length ratio, gingival papilla height, bone papilla height, gingival margin angle, and bone margin angle.
Adult
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Cone-Beam Computed Tomography
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Dental Implants
;
Esthetics, Dental
;
Female
;
Gingiva/anatomy & histology*
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Humans
;
Male
;
Maxilla/diagnostic imaging*
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Tooth Crown
;
Young Adult
7. The inhibitory effect of lenvatinib plus fluvastatin on liver transplantation tumor in mice and corresponding mechanism
Yi LEI ; Xin-Sheng LIN ; Shuai KANG ; Cheng LI ; Jian-Cong LI ; Yun ZHU ; Yang CHENG ; Peng-Hui SUN
Chinese Pharmacological Bulletin 2022;38(10):1511-1516
Aim To explore the inhibitory effect of lenvatinib plus fluvastatin on liver transplantation tumor in mice and the mechanism.Methods Mouse model of subcutaneous liver cancer was used.Single agent of lenvatinib, single agent of fluvastatin, a combination of lenvatinib and fluvastatin and control solvent were given to four groups of mice.Tumor volume was measured.Immunohistochemistry was used to examine proliferation of tumor cells.Tunel was employed to detect the cell apoptosis.qRT-PCR and immunohistochemistry were used to measure the expression of TLR4.Western blot was employed to determine β-catenin expression.Rescue experiment was done using human hepatoma cells cultured in vitro.Results Treatment with both lenvatinib and fluvastatin significantly suppressed tumor growth in nude mice.Combined treatment significantly decreased the expressions of PNCA and increased apoptosis in tumor cells.Mechanically combined treatment synergistically suppressed the mRNA and protein expression of TLR4 which further inhibited the expression of β-catenin in hepatoma cells.Conclusions A combination of lenvatinib and fluvastatin synergistically inhibits tumor growth and promotes tumor cell apoptosis.The combination treatment significantly inhibits TLR4/β-catenin signaling pathway.
8. Osteomodulin (OMD) as A Potential Prognostic Marker of GastricCancer and A New Immunotherapy Target
Feng PAN ; Jia-Qi NIE ; Xu-Dong ZHANG ; Xiao-Ning LI ; Hai-Kang CUI ; Lan YANG ; Wen-Jie ZHANG ; Hong-Yun PENG ; Feng PAN ; Jia-Qi NIE ; Xu-Dong ZHANG ; Xiao-Ning LI ; Hai-Kang CUI ; Lan YANG ; Wen-Jie ZHANG
Chinese Journal of Biochemistry and Molecular Biology 2022;38(1):97-107
Preoperative detection of biomarkers that can predict postoperative survival of gastric cancer patients has important implications for surgical procedures, postoperative chemoradiotherapy and followup. Using multi-center cancer database and online analysis and verifying by qRT-PCR and Western blotting, we found that Osteomodulin (OMD) was highly expressed in gastric cancer tissues (P =0. 015) and could affect the survival of gastric cancer patients (P < 0. 001) and can be detected preoperatively to evaluate the prognosis of gastric cancer patients. The mRNA expression of OMD was significantly correlated with age (P = 0. 034), Lauren typing (P < 0. 001) and clinical stage (P =0. 001) of gastric cancer patients. It also associated with a variety of immune cells (dendritic cellsresting, eosinophils) and the immune checkpoint regulator ENTPD1 (rho = 0. 634, P < 0. 001) and chemokine CXCL12 (rho = 0. 625, P < 0. 001), which affects the occurrence and development of gastriccancer through the immune microenvironment. Therefore, OMD may become a clinically feasible prognostic biomarker of gastric cancer and a new target for immunotherapy.
9.Epidemiological investigation of tinnitus in Sichuan and Chongqing.
Jia Qiu DAI ; Ying PANG ; Zi Qi CHEN ; Si Ji WANG ; Bin PENG ; Hong XU ; Feng Hui YU ; Lin ZHU ; Xi OUYANG ; Chang Chao XIANG ; Ping LYU ; Yun HE ; Dong Bao YANG ; Qiu Tang HUANG ; Sen YANG ; Wen Xing YU ; Xia JIANG ; Hou Yong KANG
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2021;56(11):1164-1173
Objectives: To investigate the prevalence and associated risk factors of tinnitus in Sichuan and Chongqing. Methods: We designed a tinnitus epidemiological questionnaire. The multi-stage stratified cluster random sampling methods was applied to obtain study subjects in six areas (Nanchong, Jiangjin, Fengdu, Yunyang, Suining and Ya'an), which were selected for epidemiological investigation. Home visit completion of epidemiological questionnaires was conducted. The trained investigators guided the respondents to fill in the tinnitus epidemiological questionnaires, and the epidemiological status of six areas on prevalence and risk factor was investigated. SPSS 22.0 software was used for statistical analysis. Results: Sampling population were 10 289, in which 9 273 were valid questionnaires. There were 4 281 males and 4 992 females, with an average age of 47.3 years, among which 34.83% (3 230/9 273) had tinnitus. 3.99% (370/9 273) were diagnosed with bothersome tinnitus. In a multivariable logistic regression mod, the following factors were associated with onsetting of tinnitus: sleep disorder [Odds Ratio(OR)=3.74] and noise exposure(OR=1.99). The risk of disease was lowest in the age of 30-40 years old, while the risk of disease was higher for people under 30 and over 40. In another multivariable logistic regression mode, the following factors were associated with having bothersome tinnitus: older people were more likely to suffer from tinnitus, sleep disorders (OR=4.68) and noise exposure (OR=1.56). Conclusions: The prevalence of tinnitus in Sichuan and Chongqing is about 34.83%, but most of the tinnitus is short-lived and has low loudness, which will not affect the patients. Only a small number of patients with tinnitus (3.99%) persist and affect their health and need treatment. The occurrence and exacerbation of tinnitus may be related to sleep, age, and noise exposure.
Adult
;
Aged
;
Female
;
Humans
;
Logistic Models
;
Male
;
Middle Aged
;
Prevalence
;
Risk Factors
;
Surveys and Questionnaires
;
Tinnitus/epidemiology*
10.Platelet HPA Typing of Platelet Donors in Zhangjiakou Area.
Wen-Jing JIANG ; Yun-Peng XU ; Fei LI ; Ping LI ; Shao-Ping KANG ; Li-Hong LI ; Yi-Hao WANG
Journal of Experimental Hematology 2021;29(1):233-238
OBJECTIVE:
To analyze the polymorphism of the HPA1-5,15 system of the donors in Zhangjiakou area.
METHODS:
DNA was extracted from the blood samples of the donors, PCR- SSP method was used to divide HPA1-6, 15 genotype. The gene frequency and genotype frequency were calculated, compared with the difference and regiahal specificity of the populations in our country and foregiens was compared other populations.
RESULTS:
The gene expression in the HPA-1, HPA-2 and HPA-4 systems were all homozygous aa, and the donors who expressed homozygous bb was not exessed. Among them, one heterozygous ab expression was found in both HPA-1 and HPA-4 systems (1%), and 14 cases of heterozygous ab expression were found in HPA-2 system (14%). The gene expression in the HPA-5 system was mainly homozygous aa (98%), and a very few expressed homozygous bb (2%) was found. The degree of heterozygosity of gene expression in the HPA-3 and HPA-15 systems was relatively high. The proprotion of the expression of aa, ab and bb in the HPA-3 system was respectively 46%, 40% and 14%, the proprotion of the expression of aa, ab and bb in the HPA-15 system was respectively 21%, 64% and 15%.
CONCLUSION
The gene frequency of platelet-specific antigen HPA1-5,15 system in zhangjiakou region shows local characteristics. The heterozygosity degree of gene expression in the HPA-3 and HPA-15 systems are both high, suggesting that they are more likely to result in alloimmunization and ineffective platelet transfusion, which should be pays attention to.
Antigens, Human Platelet/genetics*
;
Blood Donors
;
Gene Frequency
;
Genotype
;
Humans
;
Polymorphism, Genetic

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