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.
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.
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 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.