1.Cross-sectional survey of healthcare-associated infection in 5 736 medical institutions across China in 2024
Cui ZENG ; Wuqiang GAO ; Fu QIAO ; Hui ZHAO ; Xu FANG ; Linping LI ; Xiuwen CHEN ; Jiansen CHEN ; Dan LI ; Yuan ZHOU ; Lingli YU ; Qinglan MENG ; Xia MOU ; Lijuan XIONG ; Weiguang LI ; Ding LIU ; Jiaqing XIAO ; Limei OU ; Baozhen LI ; Jun YIN ; Haojun ZHANG ; Qiang FU ; Qun LU ; Biao WU ; Ya-wei XING ; Shumei SUN ; Shuncai WANG ; Longmin DU ; Jingping ZHANG ; Wen-ying HE ; Gui CHENG ; Nan REN ; Xun HUANG ; Anhua WU
Chinese Journal of Infection Control 2025;24(11):1572-1583
Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27%.The number of HAI episodes was 38 032,and case prevalence rate was 1.38%.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66%to 2.35%.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65%.The most common infection site was the lower respiratory tract(44.66%),followed by the urinary tract(12.94%),surgical site(9.32%),upper respiratory tract(7.02%),and bloodstream infection(5.78%).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02%),department of neurosurgery(5.51%),and department(group)of hematology(5.34%).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10%)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76%),Pseudomonas aeruginosa(13.33%),Escherichia coli(12.79%),Acinetobacter baumannii(9.23%),and Staphylococcus aureus(7.88%).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71%.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18%.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46%.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.
2.Cross-sectional survey of healthcare-associated infection in 5 736 medical institutions across China in 2024
Cui ZENG ; Wuqiang GAO ; Fu QIAO ; Hui ZHAO ; Xu FANG ; Linping LI ; Xiuwen CHEN ; Jiansen CHEN ; Dan LI ; Yuan ZHOU ; Lingli YU ; Qinglan MENG ; Xia MOU ; Lijuan XIONG ; Weiguang LI ; Ding LIU ; Jiaqing XIAO ; Limei OU ; Baozhen LI ; Jun YIN ; Haojun ZHANG ; Qiang FU ; Qun LU ; Biao WU ; Ya-wei XING ; Shumei SUN ; Shuncai WANG ; Longmin DU ; Jingping ZHANG ; Wen-ying HE ; Gui CHENG ; Nan REN ; Xun HUANG ; Anhua WU
Chinese Journal of Infection Control 2025;24(11):1572-1583
Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27%.The number of HAI episodes was 38 032,and case prevalence rate was 1.38%.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66%to 2.35%.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65%.The most common infection site was the lower respiratory tract(44.66%),followed by the urinary tract(12.94%),surgical site(9.32%),upper respiratory tract(7.02%),and bloodstream infection(5.78%).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02%),department of neurosurgery(5.51%),and department(group)of hematology(5.34%).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10%)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76%),Pseudomonas aeruginosa(13.33%),Escherichia coli(12.79%),Acinetobacter baumannii(9.23%),and Staphylococcus aureus(7.88%).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71%.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18%.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46%.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.
3.Predictive value and efficacy evaluation of plasma miR-132,miR-134 combined with miR-124 in patients with depression
Wenpeng DENG ; Haojun XIONG ; Guangtao HU ; Wenjing YU ; Junjie FAN ; Yupeng LONG
International Journal of Laboratory Medicine 2024;45(16):1962-1965,1972
Objective To explore the predictive value and efficacy evaluation of plasma microRNA(miR)-132,miR-134 combined with miR-124 in patients with depression.Methods A total of 75 patients diagnosed with depression in the psychiatric department of the hospital from June 2021 to July 2023 were selected as the study group,and 75 healthy subjects who underwent physical examination in the hospital during the same pe-riod were selected as the control group.The relative expression levels of miR-132,miR-134 and miR-124 in plasma of the two groups were detected.The levels of miR-132,miR-124,miR-134,brain-derived neurotrophic factor(BDNF).inflammatory factors[interleukin(IL)-6,IL-18,tumor necrosis factor-a(TNF-a)]were com-pared between the two groups before and after 8 weeks of treatment.Multiple linear regression analysis was used to construct a joint prediction model.The application value of plasma miR-132,miR-134,miR-124 and combined prediction in the diagnosis of depression was evaluated by receiver operating characteristic(ROC)curve.Results The relative expression levels of miR-132 and miR-124 in plasma of the study group were sig-nificantly higher than those of the control group,with statistical significance(P<0.05).The relative expres-sion level of miR-134 in the study group was significantly lower than that in the control group,and the differ-ence was statistically significant(P<0.05).ROC curve analysis showed that the area under the curve of plas-ma miR-132,miR-134,miR-124 and combined prediction of depression were 0.858 8,0.851 9,0.763 1 and 0.971 4,respectively.Compared with 8 weeks before treatment,plasma miR-132,miR-124,IL-6,IL-18 and TNF-a levels were significantly down-regulated,while plasma miR-134 and BDNF levels were significantly up-regulated after 8 weeks of treatment.Conclusion miR-132,miR-134 and miR-124 are closely related to the oc-currence of depression,and the combination of the three can be used to predict and early diagnose depression patients and evaluate the drug efficacy of depression patients.
4.Clinical analysis of 1 057 patients with critical illnesses in a dermatological ward
Hai LONG ; Li JIANG ; Yueqi QIU ; Nan YAO ; Licong LIU ; Yuming XIE ; Feng XIONG ; Siqi TAN ; Qiqi KUANG ; Ruixuan YOU ; Ke CHAI ; Xin LUO ; Haojun LONG ; Yue XIN ; Ziyu GUO ; Jiaqi WANG ; Yixin TAN ; Qing ZHANG ; Guiying ZHANG ; Yaping LI ; Yuwen SU ; Rong XIAO ; Qianjin LU
Chinese Journal of Dermatology 2021;54(9):790-797
Objective:To summarize clinical characteristics of and treatment experience with patients with critical illnesses in a dermatological ward.Methods:All patients with serious or life-threatening conditions, who were hospitalized at the dermatological ward of the Second Xiangya Hospital of Central South University from July 9, 2011 to December 31, 2020, were collected, and their clinical data were retrospectively analyzed. Demographic characteristics, disease types and proportions, main complications, causes of serious or life-threatening conditions, important treatment measures and outcomes were summarized, and causes of death were also analyzed and discussed.Results:A total of 1 057 patients with critical illnesses were collected, with a male-to-female ratio of 1∶1.11, and 64.81% of them aged 18 to 65 years. The types of diseases mainly included drug eruptions (332 cases) , connective tissue diseases (226 cases) , bullous skin diseases (104 cases) , psoriasis (57 cases) , erythroderma (45 cases) , infectious skin diseases (67 cases) , etc. Among them, psoriasis (39 cases) and erythroderma (32 cases) mostly occurred in males, and connective tissue diseases (168 cases) mostly occurred in females. Common complications mainly involved infections, important organ damage or dysfunction, hypoalbuminemia, and fluid, electrolyte and acid-base imbalances. A total of 94 patients were diagnosed with life-threatening conditions, which were found to be mainly caused by primary skin diseases, hematologic abnormalities, respiratory failure, nervous system abnormalities, renal failure, sepsis, fluid, electrolyte and acid-base imbalances, etc. During the management of critical illnesses, 43 patients were treated with high-dose glucocorticoid pulse therapy, 264 were treated with gamma-globulin pulse therapy, 355 were transfused with other blood products, and 34 received special therapies such as hemoperfusion/immunoadsorption therapy, plasma exchange, dialysis, artificial liver support therapy; 42 patients were transferred to the intensive care unit (ICU) , 12 were transferred to the department of surgery for operations, and 12 were transferred to the department of obstetrics and gynecology for delivery or induction of labor. After treatment, 989 patients (93.57%) achieved improvement and were discharged. A total of 14 patients (1.32%) died, of whom 7 died of secondary sepsis, 2 died of severe pulmonary infections, 2 died of asphyxia caused by respiratory mucosa shedding-induced airway obstruction, the other 3 died of gastrointestinal hemorrhage, cerebral hemorrhage and neuropsychiatric systemic lupus erythematosus, respectively.Conclusions:Critical cases in the dermatological ward mainly suffered from serious skin diseases such as severe drug eruptions, connective tissue diseases and bullous skin diseases, as well as complications such as severe underlying diseases, severe organ dysfunction, sepsis or severe fluid, electrolyte and acid-base imbalances. In terms of treatment, it is of critical significance to make a clear diagnosis and assess the severity of disease as early as possible, monitor and prevent possible complications, and to consult with specialists in relevant disciplines in time.
5.Influence of QDPR expression on DHFR expression of NRK-52E cells in high gluoc se ambience
Xiangjun YANG ; Zhijie PU ; Lingyu MENG ; Yanhong MA ; Hailan HE ; Hao XIONG ; Xuejing WU ; Haojun ZHANG ; Zhiguo LI
Journal of Medical Postgraduates 2016;29(5):460-464
Objective K93T point mutation exists in the quinoid dihydropteridine reductase ( QDPR) of OLEFT rats which catalyzes QDPR into tetrahydrobinopterin(BH4), while dihydrofolate reductase(DHFR) can reduce QDPR to BH4, which implies crosstalk between hydrobiopterin and folate metabolism.By investigating the influence of QDPR expression on DHFR expression of NRK-52E cells, the article aimed to find out the possible underlying mechanism of QDPR gene in diabetic nephropathy ( DN). Methods Western blot was performed to identify the expression level in NRK-52E cell under high glucose ambience and DHFR pro-tein expression of OLETF rats.NRK-52E cells were transfected by the lentivirus to establish no-load overexpression, overexpressed QDPR and knockdown QDPR models.Each group was given 5.4 mmol/L normal sugar medium and 30mmol/L in high glucose ambi-ence for 72 hours'cell cultivation to simulate DN model.Observation was made on the influence of QDPR gene expression levels on DHFR in high glucose ambience. Results The western blot analysis revealed that DHFR protein decreased in NHG group( [0.33 ± 0.16] vs [0.64 ±0.5], P<0.05) and OLETF rats cortex ([0.56 ±0.16] vs [1.03 ±0.12], P<0.01).In high glucose ambi-ence, compared with LV-OCON-HG group, the protein expression of DHFR was significantly decreased in LV-QDPR-HG group ([0.12 ±0.09] vs [0.63 ±0.08], P<0.01).No difference was found in the comparison of DHFR expression levels between LV-SHQDPR-HG and LV-SHCON-HG group. Conclusion DHFR protein expression decreases in NRK-52E cells of high glucose and LOLETF rat model, which suggests that DHFR protein plays an important role in the development of DN.QDPR overexpression leads to the decreased expression of DHFR, which implies that overexpressed QDPR influences the occurrence and process of DN by down-regulating DHFR expression level.

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