Objective To explore the source and distribution of patients with multidrug resistant organisms (MDROs) acquired (infections/colonizations) outside the hospital and to provide a reference for guiding proactive interventions for nosocomial transmission of MDROs. Methods Bacterial culture results and clinical data of patients newly admitted to Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospita1 were retrospectively investigated between January 1st 2022 and December 31st 2023. The types of MDROs infections/colonizations, patient sources, and triple distributions of patients with nosocomial acquisition of MDROs were analyzed. Results A total of 293 patients with 308 infections/colonizations were investigated in the extranocomial infection of MDROs, 198110 newly admitted patients during the same period, and the total case rate of extranocomial infection of MDROs was 0.155% (308/198110). Among them, the case rate of extranocomial infection of methicillin-resistant Staphylococcus aureus (0.062%) and carbapenem resistant Acinetobacter baumannii (0.044%) were higher than those of other types of bacteria. The case rate of extranocomial infection of MDROs was statistically significant in terms of the distribution of the route of admission, gender of the patient, age of the patient, department of admission, and time of admission (P<0.001); The distribution of patients with extranocomial infection of various types of MDROs was correlated with admission route, patient age, and admission department (P<0.001), and the associations with patient gender and admission time were not statistically significant (P>0.05). Conclusions The total case rate of extranocomial infection of MDROs in the institution was at a relatively low level, and conducting large-scale active screening has certain limitations. Active screening factors should be considered in a comprehensive manner to capture differences in epidemiological characteristics of patients with extranocomial infection of MDROs, and targeted prevention and intervention should be carried out to achieve a reduction in infections from MDROs in hospitals.
ObjectiveTo evaluate the effect of bundle strategies on the prevention and control of multidrug-resistant organisms (MDROs) in intensive care unit (ICU), in order to effectively prevent and control the severe situation of multiple drug-resistant bacteria in ICU.MethodsWe selected patients who admitted into the ICU from January 2016 to December 2017 as study subjects, and monitored 6 types of MDROs. Basic information was surveyed and collected from January to December 2016 (before intervention), while bundle strategies on MDROs were implemented from January to December 2017 (after intervention), including issusing isolation orders, hanging isolation marks, wearing isolation clothes, using medical articles exclusively, cleaning and disinfecting environment, implementing hand hygiene, etc. Then we compared the MDRO detection rate, nosocomial infection rate, MDRO nosocomial infection rate, and compliance rates of interventions between the two periods.ResultsThe MDRO detection rate before intervention was 77.10%, and that after intervention was 49.12%, the difference between the two periods was statistically significant (χ2=69.834, P<0.001). The nosocomial infection rate of ICU decreased from 23.51% before intervention to 15.23% after intervention, the MDRO nosocomial infection rate decreased from 13.70% before intervention to 5.84% after intervention, and the differences between the two periods were statistically significant (χ2=8.594, P=0.003; χ2=13.722, P<0.001). The compliance rates of doctor’s isolation orders, hanging isolation marks, wearing isolation clothes, using medical articles exclusively, cleaning and disinfecting environment, and hand hygiene, as well as the correct rate of hand hygiene after intervention (92.12%, 93.55%, 81.77%, 84.24%, 82.90%, 77.39%, and 96.37%) were significantly higher than those before intervention (31.94%, 52.00%, 23.43%, 48.18%, 67.16%, 59.46%, and 88.64%), and the differences were all statistically significant (P<0.001).ConclusionThe implementation of the above bundle strategies on the prevention and control of MDROs can decrease the MDRO detection rate and MDRO nosocomial infection rate.
目的 对烧伤层流病房多重耐药菌感染的相关因素进行分析，通过护理干预来预防和减少烧伤病房多重耐药菌感染的发生。 方法 回顾性分析2011年1月－12月收治的629例烧伤患者，其中发生多重耐药菌感染74例，感染率为11.8%。 结果 感染部位：创面分泌物培养感染占70.2%，痰液标本培养感染占9.4%，血液标本培养感染占16.2%，其他占4.2%。感染病原菌：以金黄色葡萄球菌为主，占77.0%；鲍曼不动杆菌占4.2%，铜绿假单胞菌占10.8%，肺炎克雷伯菌占6.7%，真菌感染占1.3%。 结论 对发生医院内多重耐药菌感染的原因进行分析并及时采取相应的护理干预措施，及可行的医院感染管理控制措施，对烧伤患者预后有重要的意义，可有效降低院内感染率的发生。
目的 了解新生儿患者多重耐药菌社区感染的特点和定植情况，采取预防控制措施，防止在院内传播。 方法 对2011年9月－2012年8月所有新入院新生儿患者共801例进行耐甲氧西林金黄色葡萄球菌（MRSA）、耐万古霉素肠球菌（VRE）和产超广谱β内酰胺酶（ESBL）菌入院筛查，了解多重耐药菌社区感染的特点和定植情况。并将801例新生儿患者（观察组）医院感染发生率与2010年9月－2011年8月同期801 例新生儿患者（对照组）医院感染发生率进行比较。 结果 观察组发现MRSA和产ESBL菌共321例，检出率为40.1%。其中包括单纯MRSA 45例，占14.1%；产ESBL菌238例，占74.1%；MRSA+产ESBL菌38例，占11.8%。观察组医院感染发生率为2.0%，多重耐药菌医院感染构成比为12.5%；对照组医院感染发生率为5.1%，多重耐药菌医院感染构成比为53.6%；两组医院感染发生率和多重耐药菌医院感染构成比差异均有统计学意义（P＜0.01）。 结论 新生儿患者多重耐药菌定植情况严重，应引起高度重视，加强管理可防止在医院传播，减少医院感染发生。
Objective To investigate the risk factors of multidrug-resistant organism (MDRO) infection in patients with car accident injuries in intensive care unit (ICU), providing clinical guidance for reducing MDRO infection in car accident patients. Methods The clinical data of patients with car accident injuries in Sichuan Provincial People’s Hospital between January 1st 2019 and February 28th 2023 were collected, and the relevant data were analyzed retrospectively to explore the risk factors of MDRO infection. Results A total of 141 patients with car accident injuries were collected, of whom 30 had MDRO infection. The proportions of males (P=0.012), indwelling catheters (P=0.005), mechanical ventilation (P=0.001), length of hospital stay (P<0.001), and total treatment costs (P<0.001) in the infection group were higher than those in the non-infection group. Multiple logistic regression analysis showed that male [odds ratio (OR)=3.797, 95% confidence interval (CI) (1.174, 12.275), P=0.026], mechanical ventilation [OR=4.596, 95%CI (1.538, 13.734), P=0.006], and length of hospital stay≥20 d [OR=1.014, 95%CI (1.001, 1.028), P=0.037] were independent risk factors for MDRO infection in car accident patients. Conclusions Male, mechanical ventilation, and increased length of hospital stay are independent risk factors for MDRO infection in car accident patients. For such patients, the prevention and control measures of hospital infection should be strictly implemented to reduce the risk of infection.
ObjectiveTo optimize procedures of going out for examination for patients with multidrug-resistant organism, strengthen prevention and control management of nosocomial infection, and prevent nosocomial infection.MethodsPatients with multidrug-resistant organism who went out for examination were selected from April to November 2018. April to July 2018 (before implementation) was process construction stage, and August to November 2018 (after implementation) was process optimization implementation stage. In April 2018, process and management system of going out for multidrug-resistant organism patients were formulated, training of transporters was strengthened, and measures such as checklist identification, accompany patients for examination, patient handover, isolation and protection, and disinfection of materials were implemented, to realize the infection prevention and control management in the whole process of going out for multidrug-resistant organism patients. We compared relevant indicators before and after implementation.ResultsA total of 262 cases times of patients with multidrug-resistant organism were included, including 134 cases times before implementation and 128 cases times after implementation. Compared with before implementation, the hand hygiene, wearing gloves, disinfection of inspection instruments and articles, patient transfer, isolation measures in waiting process (special elevator, isolation after waiting for inspection, arrange inspection time reasonably), education and training after implementation improved(P<0.05). Before and after implementation, the Methicillin resistant staphylococcus aureus detection rate difference was statistically significant (P<0.05).ConclusionsThe optimization of procedures of examination for patients with multidrug-resistant organism can increase implementation rate of indirect indicators such as hand hygiene, disinfection of inspection instruments and articles, isolation and protection, education and training in the prevention and control of multidrug-resistant organism in nosocomial infection. And it is important for the prevention and control of multi-disciplinary collaboration of multidrug-resistant organism.
Objective To investigate the changes of multidrug-resistant organisms (MDROs) in the First People’s Hospital of Longquanyi District of Chengdu around its overall relocation. Methods The First People’s Hospital of Longquanyi District of Chengdu was overall relocated on December 31st, 2016. The detection rates of MDROs and the changes in nosocomial infections before the relocation (from 2015 to 2016) and after the relocation (from 2017 to 2020) were retrospectively analyzed. Results A total of 83634 qualified specimens were submitted for inspection, 8945 strains of pathogenic bacteria were detected, and the detection rate of pathogenic bacteria was 10.70%, showing an increasing trend in yearly detection rates of pathogenic bacteria (χ2trend=8.722, P=0.003); among them, 1551 MDRO strains were detected, and the detection rate of MDROs was 17.34%, showing an increasing trend in yearly detection rates of MDROs (χ2trend=11.140, P=0.001). The detection rate of pathogenic bacteria before relocation was lower than that after relocation, and the difference was statistically significant (9.64% vs. 11.08%; χ2=35.408, P<0.001); there was no significant difference in the detection rate of MDROs before and after relocation (16.32% vs. 17.66%; χ2=2.050, P=0.152). From 2015 to 2020, the detection rates of pathogenic bacteria from sputum+throat swab specimens (χ2trend=81.764, P<0.001) and secretion+pus specimens (χ2trend=56.311, P<0.001) showed increasing trends, while the detection rates of pathogenic bacteria from blood specimens (χ2trend=110.400, P<0.001), urine specimens (χ2trend=11.919, P=0.001), and sterile body fluid specimens (χ2trend=20.158, P<0.001) showed decreasing trends. The MDRO detection rates of Escherichia coli (χ2trend=21.742, P<0.001), Staphylococcus aureus (χ2trend=47.049, P<0.001), and Pseudomonas aeruginosa (χ2trend=66.625, P<0.001) showed increasing trends, while the MDRO detection rates of Klebsiella pneumoniae (χ2trend=2.929, P=0.087) and Acinetobacter baumannii (χ2trend=0.498, P=0.481) showed no statistically linear trend, but the MDRO detection rate of Acinetobacter baumannii dropped significantly in 2017. In the targeted monitored MDROs, the proportions of nosocomial infections in methicillin-resistant Staphylococcus aureus (χ2trend=4.581, P=0.032), carbapenem-resistant Enterobacteriaceae (χ2trend=8.031, P=0.005), and carbapenem-resistant Pseudomonas aeruginosa (χ2trend=6.692, P=0.010) showed decreasing trends; there was no statistically linear trend in the proportion of nosocomial infections in carbapenem-resistant Acinetobacter baumannii (χ2trend=0.597, P=0.440); only one strain of vancomycin-resistant Enterococcus was detected in 2017, and no nosocomial infection occurred. Conclusions The overall detection rate of pathogenic bacteria and MDROs in this tertiary general hospital around relocation showed increasing trends year by year. The detection rate of pathogenic bacteria after relocation was higher than that before relocation, but the detection rate of MDROs after relocation did not differ from that before relocation. The proportion of nosocomial infections among the targeted monitored MDROs decreased.
Objective To investigate the antibiotic resistance distribution and profiles of multidrug resistant bacteria in respiratory intensive care unit ( RICU) , and to analyze the related risk factors for multidrug resistant bacterial infections. Methods Pathogens from79 patients in RICU from April 2008 to May 2009 were analyzed retrospectively. Meanwhile the risk factors were analyzed by multi-factor logistic analysis among three groups of patients with non-multidrug, multidrug and pandrug-resistant bacterialinfection. Results The top three in 129 isolated pathogenic bacteria were Pseudomonas aeruginosa ( 24. 0% ) , Staphylococcus aureus( 22. 5% ) , and Acinetobacter baumannii( 15. 5% ) . The top three in 76 isolated multidrug-resistant bacteria were Staphylococcus aureus ( 38. 9% ) , Pseudomonas aeruginosa ( 25. 0% ) , and Acinetobacter baumannii( 19. 4% ) . And the two main strains in 29 isolated pandrug-resistant bacteria were Pseudomonas aeruginosa ( 48. 3% ) and Acinetobacter baumannii ( 44. 8% ) . Multi-factor logistic analysis revealed that the frequency of admition to RICU, the use of carbapenem antibiotics, the time of mechanical ventilation, the time of urethral catheterization, and complicated diabetes mellitus were independent risk factors for multidrug-resistant bacterial infection( all P lt; 0. 05) . Conclusions There is a high frequency of multidrug-resistant bacterial infection in RICU. Frequency of admition in RICU, use of carbapenem antibiotics, time of mechanical ventilation, time of urethral catheterization, and complicated diabetes mellitus were closely related withmultidrug-resistant bacterial infection.
Objective To systematically assess the risk factors for the occurrence of multidrug-resistant organism (MDRO) infections in general intensive care units (ICU). Methods A computerized search was conducted to identify literature on the risk factors for MDRO infection in ICUs in the Chinese Biomedical Literature Service system, CNKI, Wanfang, VIP, PubMed, Web of Science, Cochrane Library, and Embase databases from January 1, 2012, to June 1, 2024. The literature meeting the inclusion and exclusion criteria was subjected to two-person data extraction and quality evaluation, and then meta-analysis was conducted by using Revman5.4 software. Results A total of 25 articles were included, with a cumulative total of 19 280 patients, including 3 945 patients with MDRO infection (20.5%). Twenty-four risk factors were analyzed, and the difference between 19 of them was statistically significant (P<0.050). The risk factors for MDRO infection included: (1) three general factors: length of hospital stay, ICU length of stay, and APACHE Ⅱ score; (2) seven invasive operation-related factors: mechanical ventilation, duration of mechanical ventilation, fiberoptic bronchoscopy, arterial intubation , length of venous catheterization, ureteral intubation, and urinary catheter retention; (3) four antibiotic-related factors: use of antimicrobials prior to ICU admission, concomitant antimicrobials, antimicrobial species, and duration of antimicrobials use; (4) five factors related to the underlying diseases: hypoproteinemia, pulmonary diseases, combined underlying diseases, number of combined underlying diseases, and mixed infections. Conclusions The current research evidence suggests that multiple factors are associated with the occurrence of MDRO infections in patients in general ICU, which may provide a basis for early screening of patients at risk for MDRO infections by ICU healthcare professionals.
Medical institutions of China still face two challenges in hospital infections currently: one challenge is from infection, including infectious diseases, multidrug-resistant bacteria healthcare-associated infection (HAI), and classic HAI; the another challenge comes from the management of HAI in medical institutions, such as lack of full-time staff and insufficient capacity, inadequate infection control organizations, insufficient awareness of infection control among medical staff, and unbalanced development. To cope with these severe challenges, we must do the following three aspects: establishing the discipline of HAI, and improving people’s infection control ability through human-orienting; improving the management organization and system of HAI; improving the awareness of infection control among all medical staff, carrying out scientific and orderly infection prevention and control work in accordance with the law, and adhering to evidence-based infection control.