1.Risk factors analysis and prediction model construction of SGLT2 inhibitor-associated euglycemic diabetic ketoacidosis
Wenhui HUANG ; Xiufen CHEN ; Jianming CHEN ; Yana HONG ; Jingjing CAI ; Jinshan CHEN
Journal of Pharmaceutical Practice and Service 2026;44(5):247-252
Objective To explore risk factors of sodium-dependent glucose transporters 2 (SGLT2) inhibitor-associated euglycemic diabetic ketoacidosis (euDKA) and to construct a risk prediction model. Methods A retrospective analysis was performed on the clinical data of type 2 diabetes patients treated with SGLT2 inhibitors in Dongnan Hospital of Xiamen University from January 2020 to December 2023, including age, gender and course of diabetes. The risk factors of SGLT2 inhibitor-associated euDKA were analyzed by univariate analysis and multivariate Logistic regression, and a prediction model was established. According to the receiver's operating characteristic (ROC) curve, the area under the curve (AUC) and the optimal critical value of the prediction model were determined. The prediction model was subjected to both internal and external validation. Results A total of 119 patients with type 2 diabetes treated with SGLT2 inhibitors were included in this study. Among them, there were 98 cases without euDKA (non-euDKA group)and 21 cases with euDKA (euDKA group). Multivariate Logistic regression analysis showed the DKA history (OR=114.153), appetite or diet decreased three days before admission (OR=21.774), elevated neutrophil count (OR=2.056) and pre-hospital adjustment of hypoglycemic agents (OR=45.745) were independent factors to increase risks of euDKA associated with SGLT2 inhibitors (P<0.05). Surgical history before admission was an independent factor to reduce this risk (OR=0.007, P<0.05). By establishing the calculation formula of the prediction model = neutrophil count+6.571 (DKA history)−6.874 (surgical history before admission)+4.273 (appetite or diet decreased three days before admission)+5.302 (pre-hospital adjustment of hypoglycemic drugs), the ROC curve was drawn. The AUC of the ROC of the prediction model was 0.982 (95%CI: 0.961-1.000, P<0.001), with accuracy of 94.96%, sensitivity of 0.905, specificity of 0.959 and a critical value of 7.405. The AUC of ROC curve after the model’s ten-fold cross validation was 0.930. And the accuracy of the external validation of the prediction model was 85.29%. Conclusion The DKA history, appetite or diet decreased three days before admission, elevated neutrophil count and pre-hospital adjustment of hypoglycemic agents increased the risk of SGLT2 inhibitor-associated euDKA, while the surgical history before admission reduced this risk. The risk prediction model constructed on this basis could better predict the risk of SGLT2 inhibitor-associated euDKA.
2.Analysis of salary satisfaction and influencing factors of medical staff in public hospitals in Guangxi
Yanlong WU ; Wenhui ZHUANG ; Junjie HUANG ; Pinghua ZHU
Chinese Journal of Hospital Administration 2025;41(2):119-126
Objective:To analyze the salary satisfaction and influencing factors of medical staff in public hospitals in Guangxi under the background of salary system reform, and to provide suggestions for deepening the salary system reform of public hospitals in Guangxi.Methods:From July to December 2022, medical staff from 39 public hospitals that have carried out salary system reform were selected through stratified random sampling, and self-made questionnaires were used to survey them, which mainly included salary, salary expectations and salary satisfaction. Descriptive analysis of the questionnaire data was performed, and binary logistic regression was used to analyze the influencing factors of salary satisfaction.Results:A total of 10 299 valid questionnaires were obtained. 6 869 (66.7%) medical staff had a lower average monthly income after tax than those employed in urban non-private units in Guangxi in that year; 8 100 (78.6%) medical staff expected to be paid 30%~50% higher than the current salary level; 4 073 (39.5%) were satisfied with the overall salary satisfaction, of which 2 377 (23.1%) were satisfied with the salary increase after the reform of the salary system in 2017. The results of multivariate analysis showed that education, hospital type, hospital level, professional title, position and job type were the main influencing factors of salary satisfaction of medical staff ( P<0.05), and hospital level interacted with education, hospital type and job type respectively ( P<0.05). Conclusions:The external competitiveness of the salary of medical staff in Guangxi was insufficient, and the salary satisfaction was not high. It is suggested to pay attention to the inter-embeddedness of the reform of the salary system and the reform of the " three-medical linkage" , pay attention to the balanced development of different levels and types of hospitals, scientifically calculate the value coefficient of different positions, and effectively improve the salary level of medical staff.
3.Analysis of influencing factors of early activity in patients with mechanical ventilation based on theoretical domain framework
Wenhui YU ; Yanlin HUANG ; Xiaoping WANG
Chinese Journal of Practical Nursing 2025;41(12):897-906
Objective:Based on the theoretical domain framework, the factors that affect early ambulation in patients with mechanical ventilation were analyzed to provide evidence for improving the rehabilitation effect of patients.Methods:The mixed method of systematic review and qualitative study were adopted. Studies about factors affecting early activity of patients with mechanical ventilation searched from Cochrane Library, Embase, PubMed, Web of Science, VIP database, Wanfang Database, CNKI and SinoMed published from inception to March 19, 2024. Following literature screening and data extraction, Nvivo11 qualitative research software, content analysis and rooted theory were used to encode the text data at three levels, and the logical relationship of influencing factors were linked.Results:A total of 24 articles were selected, 351 coding elements were encoded into 14 theoretical domains, 35 secondary nodes and 42 three-level nodes were concluded. The number of coding points involving "environmental context and resources" theory domain is the largest (115 coding points), followed by the "social influences" theory domain (42 coding points). Pareto diagram was used to order and analyze the frequency of influencing factors. Patients′ physical condition (45 times) and occupational role characteristics (22 times) were the most influential single factors on early activity.Conclusions:The influencing factors of early ambulation of patients with mechanical ventilation involve all theoretical domains, and are both pluralism, blending and complex.
4.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; 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 ; 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 ; 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 ; 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 WENG ; 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(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
5.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; 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 ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; 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(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
6.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; 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 ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
7.Analysis of salary satisfaction and influencing factors of medical staff in public hospitals in Guangxi
Yanlong WU ; Wenhui ZHUANG ; Junjie HUANG ; Pinghua ZHU
Chinese Journal of Hospital Administration 2025;41(2):119-126
Objective:To analyze the salary satisfaction and influencing factors of medical staff in public hospitals in Guangxi under the background of salary system reform, and to provide suggestions for deepening the salary system reform of public hospitals in Guangxi.Methods:From July to December 2022, medical staff from 39 public hospitals that have carried out salary system reform were selected through stratified random sampling, and self-made questionnaires were used to survey them, which mainly included salary, salary expectations and salary satisfaction. Descriptive analysis of the questionnaire data was performed, and binary logistic regression was used to analyze the influencing factors of salary satisfaction.Results:A total of 10 299 valid questionnaires were obtained. 6 869 (66.7%) medical staff had a lower average monthly income after tax than those employed in urban non-private units in Guangxi in that year; 8 100 (78.6%) medical staff expected to be paid 30%~50% higher than the current salary level; 4 073 (39.5%) were satisfied with the overall salary satisfaction, of which 2 377 (23.1%) were satisfied with the salary increase after the reform of the salary system in 2017. The results of multivariate analysis showed that education, hospital type, hospital level, professional title, position and job type were the main influencing factors of salary satisfaction of medical staff ( P<0.05), and hospital level interacted with education, hospital type and job type respectively ( P<0.05). Conclusions:The external competitiveness of the salary of medical staff in Guangxi was insufficient, and the salary satisfaction was not high. It is suggested to pay attention to the inter-embeddedness of the reform of the salary system and the reform of the " three-medical linkage" , pay attention to the balanced development of different levels and types of hospitals, scientifically calculate the value coefficient of different positions, and effectively improve the salary level of medical staff.
8.A case of mental retardation-56 caused by the CLTC gene mutation and literature review
Bingbin MAI ; Wenhui MO ; Yi LI ; Qiaowen TU ; Minghao HUANG ; Haojie LIU ; Yun CAO ; Xin XIAO
Chinese Journal of Applied Clinical Pediatrics 2025;40(2):133-137
The clinical data and genetic characteristics of one child with mental retardation-56 (MRD56) diagnosed at the Department of Neonatology, Foshan Fosun Chancheng Hospital in October 2021 were retrospectively analyzed.The patient was admitted to the hospital with " 34 + 2 weeks of preterm birth, shortness of breath, and dyspnea for 0.5 hours". In the neonatal period, the patient had special facial features, hypotonia, weaning and feeding difficulties, laryngeal stridor.In infancy, the patient showed global psychomotor development delay, intellectual disability, epilepsy, etc.Magnetic resonance imaging of the brain showed delayed myelination and dysplasia of the cerebellum and corpus callosum.Whole-exome sequencing showed that the CLTC gene had a new missense mutation c.3334T>C (p.Trp1112Arg), and MRD56 was confirmed.A total of 32 cases of MRD56 were reported worldwide, with special facial features, intellectual disability, and psychomotor retardation as the main clinical manifestations.The cause is a mutation in the CLTC gene, which leads to abnormality in the structure of the clathrin encoded, thus affecting neurotransmitter transmission.This is the first report of MRD56 caused by the CLTC gene mutation in China, and a new clinical phenotype has been discovered.The finding enriches the phenotypic spectrum of the disease and provides a basis for clinicians to understand and study the disease.
9.Visual analysis of the current status of research on traditional Chinese medicine treatment for allergic rhinitis
Wenhui HUANG ; Danni HUI ; Mengjie HAN ; Xinyi HUANG ; Erle LI ; Yajuan XUE
China Modern Doctor 2025;63(1):6-9,42
Objective To analyze the hotspots and frontiers of traditional Chinese medicine treatment for allergic rhinitis(AR)in China,aiming to provide reference for the treatment of AR patients in China.Methods Literatures related to traditional Chinese medicine treatment of AR published by CNKI,Wanfang Data and VIP database from January 2004 to December 2023 were searched,and CiteSpace software was used for visual analysis of the number of literatures,key words,research institutions and authors.Results A total of 1604 literatures were included,and the annual number of literatures generally showed an upward trend.The research frontiers in the last 5 years include medication patterns,immune function,quality of life,data mining,and thumbtack needle.The top five institutions in terms of publications were Beijing University of Traditional Chinese Medicine,Tianjin University of Traditional Chinese Medicine,Nanjing University of Traditional Chinese Medicine,the First Affiliated Hospital of Beijing University of Traditional Chinese Medicine,and Chengdu University of Traditional Chinese Medicine.The core authors were Yuan Weiling,Yan Daonan,Zhao Jiping,Zhang Qinxiu,and Feng Weiyun.Conclusion The application of traditional Chinese medicine in treatment of AR has always been in a high research heat,and giving full play to the characteristics of traditional Chinese medicine can be the development direction of AR research in the future.
10.Visual analysis of the current status of research on traditional Chinese medicine treatment for allergic rhinitis
Wenhui HUANG ; Danni HUI ; Mengjie HAN ; Xinyi HUANG ; Erle LI ; Yajuan XUE
China Modern Doctor 2025;63(1):6-9,42
Objective To analyze the hotspots and frontiers of traditional Chinese medicine treatment for allergic rhinitis(AR)in China,aiming to provide reference for the treatment of AR patients in China.Methods Literatures related to traditional Chinese medicine treatment of AR published by CNKI,Wanfang Data and VIP database from January 2004 to December 2023 were searched,and CiteSpace software was used for visual analysis of the number of literatures,key words,research institutions and authors.Results A total of 1604 literatures were included,and the annual number of literatures generally showed an upward trend.The research frontiers in the last 5 years include medication patterns,immune function,quality of life,data mining,and thumbtack needle.The top five institutions in terms of publications were Beijing University of Traditional Chinese Medicine,Tianjin University of Traditional Chinese Medicine,Nanjing University of Traditional Chinese Medicine,the First Affiliated Hospital of Beijing University of Traditional Chinese Medicine,and Chengdu University of Traditional Chinese Medicine.The core authors were Yuan Weiling,Yan Daonan,Zhao Jiping,Zhang Qinxiu,and Feng Weiyun.Conclusion The application of traditional Chinese medicine in treatment of AR has always been in a high research heat,and giving full play to the characteristics of traditional Chinese medicine can be the development direction of AR research in the future.

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