ObjectiveTo analyze epidemic characteristics of multidrug-resistant organism (MDRO) in Neurosurgical Intensive Care Unit (NSICU), and to analyze the status of infection and colonization, in order to provide reference for constituting intervention measures. MethodsPatients who stayed in NSICU during January 2014 to April 2015 were actively monitored for the MDRO situation. ResultsA total of 218 MDRO pathogens were isolated from 159 patients, and 42 cases were healthcare-associated infections (HAI) among 159 patients. The Acinetobacter baumannii was the most common one in the isolated acinetobacter. Colonization rate was positively correlated with the incidence of HAI. From January to December, there was a significantly increase in the colonization rate, but not in the incidence of HAI. ConclusionThe main MDRO situation is colonization in NSICU. The obvious seasonal variation makes the HAI risk at different levels. So it is necessary that full-time and part-time HAI control staff be on alert, issue timely risk warning, and strengthen risk management. The Acinetobacter baumannii has become the number one target for HAI prevention and control in NSICU, so their apparent seasonal distribution is worthy of more attention, and strict implementation of HAI prevention and control measures should be carried out.
Objective To evaluate the effect of active screening and intervention of multidrug-resistant organisms (MDROs) on control nosocomial infection in the general intensive care unit (ICU). Methods A non-concurrent control trial was conducted in patients hospitalized in the ICU for more than 24 hours in the Second Affiliated Hospital of Fujian Medical University. Patients underwent active screening of MDROs for nasal vestibular swab, throat swab and rectal swab combined with further intensive intervention for patients with positive screening result during Sept. 2014 to Aug. 2015 were included as an intervention group, patients only underwent active screening during Sept. 2013 to Aug. 2014 were included as a screening group, and patients without undergoing active screening during Sept. 2012 to Aug. 2013 were as a control group. SPSS 19.0 software was used to compare the hospital infection rate and the infection rate of MDROs among the three groups. Results A total of 1 773 patients were included, of which 655 patients were in the intervention group, 515 patients were in the screening group, and 603 patients were in the control group. The difference of hospital infection rates among the three groups was statistically significant (χ2=21.087, P < 0.001), and further pairwise comparison results showed that the intervention group was lower than the screening group (χ2=5.891, P=0.015), and the screening group was lower than the control group (χ2=4.259, P=0.039). The adjustment daily infection rate of the intervention group, screening group and control group were 6.69‰, 10.88‰, and 15.39‰, respectively. The difference of MDROs hospital infection rates among the three groups was statistically significant (χ2=21.039, P < 0.001), and further pairwise comparison results showed that the intervention group was lower than the screening group (χ2=5.936, P=0.015), and the screening group was lower than the control group (χ2=5.798, P=0.016). The MDROs thousand daily infection rate of the intervention group was lower than that of the screening group (3.90‰ vs. 7.30‰, χ2=5.999, P=0.014). Conclusion The active screening plus intensive intervention of MDROs can effectively reduce the incidence rates of nosocomial infections and MDROs infections in ICU.
Objective To know the status quo of multidrug-resistant organism (MDRO) infection in primary general hospitals, analyze the differences among various intervention measures, and put forward guiding principles for MDRO infection control in primary general hospitals. Methods We investigated all patients (n=51 612) admitted into the hospital between January 2013 and December 2015, and found out 6 types of MDRO. Pre-interventional investigation was carried out between January 2013 and June 2014 (before intervention) during which no intervention measures were taken; Intervention was carried out between July 2014 and December 2015 (after intervention). All departments in the hospital (6 groups) were matched with intervention measures (6 groups) randomly. Then, we compared the MDRO detection rate, nosocomial infection case rate and intervention compliance rate among the groups. Results We detected altogether 611 MDRO cases (without duplication) out of the 51 612 cases. The total detection rate of MDRO was 1.18%. The detection rate of MDRO before and after intervention was 1.37% and 1.01%, respectively. The difference between the two was of statistical significance (P<0.05). After the intervention, the detection rate in groups 1, 5 and 6 was significantly lower than before (P<0.05); the differences in detection rate among groups 2, 3, and 4 were not significant (P> 0.05). Nosocomial infection rate decreased from 0.28% before intervention to 0.14% after intervention (P<0.05). After the intervention, MDRO nosocomial infection case rate of groups 1, 5 and 6 was significantly lower than before (P<0.05); the rate was lower in groups 3 and 4 than before without any significance (P>0.05); no MDRO cases were detected in group 2 and comparison was meaningless. The knowledge rates of medical workers and of nursing staff increased from 52.97% and 20.00% before intervention to 78.76% and 66.34% after intervention, respectively (χ2=30.670, 38.604;P<0.05). The compliance to all kinds of protection measures improved significantly (P<0.05) except compliances to equipment of hand antiseptic agent and patient transfer order (P> 0.05). Conclusion Promoting the compliance rate to hand hygiene and environmental cleaning and disinfection, primary general hospitals can decrease the detection rate and nosocomial infection case rate of MDRO.
ObjectiveTo explore the practical effects of multi-disciplinary team (MDT) management model in the management of multidrug-resistant organisms (MDROs).MethodsIn 2015, the multi-drug resistant MDT was established, and MDT meetings were held regularly to focus on the problems in the management of MDROs and related measures to prevent and control nosocomial infections of MDROs.ResultsThe detection rate of MDROs from 2014 to 2017 was 9.20% (304/3 303), 7.11% (334/4 699), 8.01% (406/5 072), and 7.81% (354/4 533), respectively. The difference was statistically significant (χ2=11.803, P=0.008), in which the detection rates of carbapenem-resistant Acinetobacter baumannii (CRABA), carbapenem-resistant Pseudomonas aeruginosa, and carbapenem-resistant Enterobacteriaceae (CRE) changed significantly (χ2=39.022, 17.052, 12.211; P<0.05). From 2014 to 2017, the proportion of multi-drug resistant infections decreased year by year, from 84.54% to 52.82%, and the proportion of multi-drug resistant hospital infections also declined, from 46.05% to 23.16%; the nosocomial infection case-time rate decreased from 0.24% to 0.13% year-on-year; the proportion of multi-drug resistant hospital infections in total hospital infections was 9.07%, 11.17%, 10.47%, and 6.16%, respectively; in the distribution of multi-drug resistant nosocomial infection bacteria, the proportion of methicillin-resistant Staphylococcus aureus, CRABA, CRE hospital infections accounted for the number of MDROs detected decreased year by year. The use rate of antibiotics decreased from 46.58% in 2014 to 42.93% in 2017, and the rate of pathogens increased from 64.83% in 2014 to 84.59% in 2017.ConclusionThe MDT management mode is effective for the management and control of MDROs, which can reduce the detection rate, infection rate, hospital infection rate, and antibacterial drug use rate, increase the pathogen detection rate, and make the prevention and control of MDROs more scientific and standardized.
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.
ObjectiveTo analyze the risk factors of multidrug-resistant organism (MDRO) nosocomial infection, and to provide the scientific basis for the prevention and control of MDRO nosocomial infection.MethodsPatients with MDRO in Chengdu Shangjin Nanfu Hospital from 2014 to 2015 were retrospectively collected. The patients were divided into the MDRO nosocomial infection group and the MDRO non-nosocomial infection group. The MDRO infection/colonization, bacterial strain type, specimens type and distribution characteristics of clinical departments were analyzed. Single factor and multiple factor logistic regression analysis were used to analyze the risk factors of MDRO nosocomial infection.ResultsA total of 357 patients of MDRO infection/colonization were monitored, of which 147 times (144 patients) were with nosocomial infections and 213 times (213 patients) were without nosocomial infections. MDRO nosocomial infection incidence rate/cases incidence rate were 0.18%. A total of 371 MDRO bacterial strains were detected, of which 147 (39.62%) were with nosocomial infection and 224 (60.38%) were without nosocomial infections. The MDRO non-nosocomial infections included 175 strains (47.17%) in community infection and 49 strains (13.12%) in colonization. Carbapenem-resistant Acinetobacter baumannii (52.83%) was the main MDRO strains. Sputum (57.14%) and secretion (35.04%) were main specimens. The top three departments of MDRO nosocomial infection strains were orthopedics (32.65%), ICU (27.89%), neurosurgery (13.61%). ICU [odds ratio (OR)=3.596, 95% confidence interval (CI) (1.124, 11.501), P=0.031], surgical history [OR=2.858, 95%CI (1.061, 7.701), P=0.038], indwelling urinary catheter [OR=3.250, 95%CI (1.025, 10.306), P=0.045], and using three or more antibiotics [OR=4.228, 95%CI (1.488, 12.011), P=0.007] were the independent risk factors of MDRO nosocomial infection.ConclusionEffective infection prevention and control measures should be adopted for the risk factors of MDRO nosocomial infection to reduce the incidence rate of MDRO nosocomial 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.
ObjectiveTo evaluate the efficiency of hydrogen peroxide vapor (HPV) in disinfecting multidrug-resistant organisms (MDROs).MethodsWe searched Cochrane Library, PubMed, Embase, Web of Science, China National Knowledge Infrastructure, Wanfang, China Science and Technology Journal Database for before-after studies or case-control studies or cohort studies evaluating efficiency of HPV and published from January 2010 to December 2020 (the time range was from January 2000 to December 2020 in the snowball searching). RevMan 5.4 and R 4.0.2 softwares were used for meta-analysis.ResultsA total of 9 studies were included, consisting of 8 before-after studies and 1 cohort study. Six studies evaluated positive rate of environmental samplings, meta-analysis revealed that HPV combined with manual cleaning disinfected the environment efficiently [relative risk (RR)=0.03, 95% confidence interval (CI) (0.01, 0.08), P< 0.000 01] and HPV was more efficient than manual cleaning [RR=0.04, 95%CI (0.02, 0.10), P< 0.000 01]. Three studies evaluated the hospital-acquired MDROs colonization/infection rates, and the results of the 3 studies were consistent, revealing that HPV could reduce hospital-acquired MDROs colonization/infection rates.ConclusionHPV is efficient in reducing MDROs contaminated surfaces and hospital-acquired infection rate.
Antimicrobial stewardship (AMS) is an important means to control bacterial resistance. The unique situation of intensive care unit (ICU) poses a challenge to AMS. This article reviews the literature on AMS in the ICU at home and abroad in recent years, and summarizes the related measures of AMS. Effective AMS measures in the ICU include setting up a multidisciplinary AMS team, using rapid microbial diagnosis technology to shorten the time of diagnosis, using non-culture methods to assess the necessity of antimicrobial therapy for patients with suspected sepsis, and evaluating the effectiveness of antimicrobial therapy as early as possible and optimizing it. These initiatives aim to increase the rational use of antimicrobials in ICU, reduce the risk of multidrug-resistant infections, and improve patients’ condition.
Objective To explore the clinical effect of failure mode and effect analysis (FMEA) combined with PDCA cycle management model in the prevention and control of multidrug-resistant organisms (MDROs) in intensive care unit (ICU), and provide evidences for drawing up improvement measures in healthcare-associated MDRO infections in ICU. Methods In January 2020, a risk assessment team was established in the Department of Critical Care Medicine, the First People’s Hospital of Longquanyi District of Chengdu, to analyze the possible risk points of MDRO infections in ICU from then on. FMEA was used to assess risks, and the failure modes with high risk priority numbers were selected to evaluate the high-risk points of MDRO infections. The causes of the high-risk points were analyzed, and improvement measures were formulated to control the risks through PDCA cycle management model. The incidence of healthcare-associated MDRO infections in ICU, improvement of high-risk events, and satisfaction of doctors and nurses after the implementation of intervention measures (from January 2020 to June 2021) were retrospectively collected and compared with those before the implementation of intervention measures (from January 2018 to December 2019). Results Six high-risk factors were screened out, namely single measures of isolation, unqualified cleaning and disinfection of bed units, irrational use of antimicrobial agents, weak consciousness of isolation among newcomers of ICU, weak awareness of pathogen inspection, and untimely disinfection. The incidence of healthcare-associated MDRO infections was 2.71% (49/1800) before intervention and 1.71% (31/1808) after intervention, and the difference between the two periods was statistically significant (χ2=4.224, P=0.040). The pathogen submission rate was 56.67% (1020/1800) before intervention and 61.23% (1107/1808) after intervention, and the difference between the two periods was statistically significant (χ2=7.755, P=0.005). The satisfaction rate of doctors and nurses was 75.0% (30/40) before intervention and 95.0% (38/40) after intervention, and the difference between the two periods was statistically significant (χ2=6.275, P=0.012). Conclusions FMEA can effectively find out the weak points in the prevention and treatment of MDRO infections in ICU, while PDCA model can effectively formulate improvement measures for the weak points and control the risks. The combined application of the two modes provides a scientific and effective guarantee for the rational prevention and treatment of MDRO infections in ICU patients.