Objective To investigate the predictors for carbapenem-resistant Acinetobacter baumannii, Enterobacteriaceae and Pseudomonas aeruginosa (CR-AEP) as the pathogens of bloodstream infection (BSI) for intensive care unit (ICU) patients. Methods A retrospective case-control study based on ICU- healthcare-associated infection (HAI) research database was carried out. The patients who have been admitted to the central ICU between 2015 and 2019 in the ICU-HAI research database of West China Hospital of Sichuan University were selected. The included patients were divided into two groups, of which the patients with ICU-acquired BSI due to CR-AEP were the case group and the patients with BSI due to the pathogens other than CR-AEP were the control group. The clinical features of the two groups of patients were compared. Logistic regression model was used to identify the predictors of BSI due to CR-AEP.ResultsA total of 197 patients with BSI were included, including 83 cases in the case group and 114 cases in the control group. A total of 214 strains of pathogenic bacteria were isolated from the 197 BSI cases, including 86 CR-AEP strains. The results of multivariate logistic regression analysis showed that previous use of tigecycline [odds ratio (OR)=2.490, 95% confidence interval (CI) (1.141, 5.436), P=0.022] was associated with higher possibility for CR-AEP as the pathogens of BSI in ICU patients with BSI, while previous use of antipseudomonal penicillin [OR=0.497, 95%CI (0.256, 0.964), P=0.039] was associated with lower possibility for that. Conclusion Previous use of tigecycline or antipseudomonal penicillin is the predictor for CR-AEP as the pathogens of BSI in ICU patients with BSI.
Objective To explore the colonization of Klebsiella pneumoniae in the intensive care unit of our hospital and analyze the risk factors. Methods A total of 226 patients were actively screened in the surgical intensive care unit and neurosurgery intensive care unit from June to December 2020 in the hospital, and their clinical data were retrospectively analyzed. Results Totally, 87 strains of Klebsiella pneumoniae were screened out, 69 strains were carbapenem-resistant Klebsiella pneumoniae (CRKP), and the resistant genotype was mainly KPC genotype (79.6%). The resistance rates of meropenem were 75.0% and 77.4%, respectively. Age and pulmonary infection before admission are risk factors for CRKP colonization, while pulmonary infection before admission is an independent risk factor for CRKP colonization. Conclusions Both the CRKP colonization rate of patients and the rate of resistance to carbapenem antimicrobials are relatively high in the intensive care unit of our hospital. Pulmonary infection before admission is an independent risk factor for CRKP colonization.
Liver transplantation is currently the only effective curative treatment for end-stage liver disease. In recent years, with advancements in liver transplantation surgery and anti-rejection drugs, the incidence of surgical complications and organ rejection has gradually decreased. Conversely, transplant-related infections have increasingly become a major factor affecting the prognosis of transplant recipients. Furthermore, due to the progress in critical life support technologies, the time spent in the donor’s intensive care unit (ICU) has been extended, and post-transplant infections originating from the donor, especially donor-derived infection (DDI), have become one of the primary sources of infection for recipients. Studies have shown that infections in liver transplant recipients are often caused by Gram-negative pathogens, particularly carbapenem-resistant Klebsiella pneumoniae (CRKP), which has now become the leading cause of fatal infections in liver transplant recipients. To reduce the risk of donor-derived infections, it is necessary to strengthen donor screening and evaluation, establish standardized testing processes, and adjust the use strategies of post-transplant anti-infective drugs and immunosuppressants. Monitoring the immune status of recipients is also crucial. Multidisciplinary collaboration and the application of new technologies will be key in future infection prevention and control. To promote the prevention and treatment of CRKP-related donor infections, West China Hospital of Sichuan University, in collaboration with international experiences, has organized relevant experts to develop an expert consensus on the prevention and treatment of CRKP-targeted DDI.
ObjectiveTo study the direct economic burden of hospitalization in patients with carbapenem-resistant Enterobacteriaceae (CRE) infection.MethodsPatients with CRE detected in Jianyang People’s Hospital between January 2017 and June 2019 were divided into infection group and colonization group, and multiple linear regression analysis was used to analyze the confounding factors, and then propensity score matching method was used to match the confounding factors of the two groups, finally the direct economic burden of hospitalization was compared between the two groups.ResultsA total of 2 013 patients were enrolled, including 507 CRE-infected patients and 1 506 CRE-colonized patients. Multiple linear regression results showed that factors affecting the direct economic burden of hospitalization included mechanical ventilation, intravenous catheterization, blood transfusion or use of blood products, urinary intubation, tracheotomy, gender, surgery, intensive care unit stay, main diagnosis, and the type of medical insurance, together with CRE infection (P<0.05). After propensity score matching, these confounding factors were well balanced between the infection group (n=249) and the colonization group (n=249), and the differences were not statistically significant (P>0.05). The median of total hospitalization cost of CRE-infected patients was 1.29 times (15 589.23 yuan more than) that of CRE-colonized patients and the difference between the two groups was statistically significant (Z=–3.116, P=0.002). The top two types of hospitalization cost with largest differences in the medians were the cost of Western medicine (4 850.21 yuan; Z=–3.460, P=0.001) and the cost of laboratory diagnosis (2 613.00 yuan; Z=–3.529, P<0.001), respectively. The cost of antimicrobial drugs differed significantly between the two groups (Z=–3.391, P=0.001), and it was 1.54 times in patients with CRE infection what it was in patients with CRE colonization.ConclusionsThere are many factors affecting the direct economic burden of inpatients, and it is necessary to avoid the influence of confounding factors as far as possible during analysis. The economic burden of patients with CRE infection is significantly greater than that of CRE-colonized patients, so active measures should be adopted to prevent and control CRE infection.
Objective To analyze the clinical characteristics, mortality risk and risk factors of patients with carbapenem resistant Acinetobacter baumannii (CRAB), so as to provide references for the prevention and control of CRAB. Methods Inpatients with Acinetobacter baumannii were selected from the clinical samples in the intensive care unit of Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital between January 2018 and December 2021. The patients were divided into CRAB infection group, carbapenem-sensitive Acinetobacter baumannii (CSAB) infection group and CRAB colonization group. Survival analysis was used to analyze the mortality risk and its influencing factors in patients with CRAB infection. Results A total of 696 patients were included. Among them, there were 392 cases of CRAB infection, 267 cases of CRAB colonization, and 37 cases of CSAB infection. The factors that increased the 30-day mortality risk of CRAB mainly included blood transfusion or use of blood products, mechanical ventilation, respiratory failure, maximum procalcitonin and age. Kaplan-Meier analysis showed that the 30-day mortality risk of CRAB infection group was higher than that of CSAB infection group（χ2=4.837, P=0.028), there was no significant difference between CRAB infection group and CRAB colonization group in 30-day mortality risk（χ2=0.219, P=0.640). Conclusions The mortality risk of CRAB infected patients is higher. Compared with the infection status, the 30-day mortality risk of patients is more attributed to drug resistance status. The effective method to control the mortality rate of CRAB should focus on reducing the hospital acquisition rate of CRAB.
Objective To investigate the risk factors for Carbapenem-resistant Klebsiella pneumoniae (CRKP) infections, and construct a clinical model for predicting the risk of CRKP infections. Methods A retrospective analysis was performed on Klebsiella pneumoniae infection patients hospitalized in the Third Hospital of Hebei Medical University from May 2020 to May 2021. The patients were divided into a CRKP group (117 cases) and a Carbapenem-sensitive Klebsiella pneumoniae (CSKP) group (191 cases). The predictors were screened by full subset regression using R software (version 4.3.1). The truncation values of continuous data were determined by Youden index. Nomogram and score table model for CRKP infections risk prediction was constructed based on binary logistic regression. The receiver operator characteristic (ROC) curve and area under curve (AUC) were used to evaluate the accuracy of models. Calibration curve and decision curve were used to evaluate the performance of models. Results308 patients with Klebsiella pneumoniae infections were included. A total of 8 predictors were selected by using full subset regression and truncation values were determined according to Youden index: intensive care unit (ICU) stay at time of infection>2 days, male, acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score>15 points, hospitalization stay at time of infection>10 days, any history of Gram-negative bacteria infection in the last 6 months, heart disease, lung infection, antibiotic exposure history in the last 6 months. The AUC of CRKP prediction risk curve model was 0.811 (95%CI 0.761 - 0.860). When the optimal cut-off value of the constructed CRKP prediction risk rating table was 6 points, the AUC was 0.723 (95%CI 0.672 - 0.774). The Bootstrap method was used for internal repeated sampling for 1000 times for verification. The model calibration curve and Hosmer-Lemeshow test (P=0.618) showed that these models have good calibration degree. The decision curve showed that these models have good clinical effectiveness. Conclusion The prediction model of CRKP infections based on the above 8 risk factors can be used as a risk prediction tool for clinical identification of CRKP infections.
In recent years, with the wide application of carbapenems, the resistance of Enterobacterium to carbapenems has become increasingly high, leading to a large number of carbapenem-resistant Klebsiella pneumoniae (CRKP). These bacteria are often resistant to many different types of antibacterial drugs, including carbapenems, which leads to clinical treatment failure and seriously threatens the life safety of patients. Currently, these bacteria have become an independent risk factor for patients’ death. This article reviews the drug resistance, infection status and influencing factors, and medication therapy of CRKP, in order to facilitate the clinical diagnosis, treatment, and disease process control of CRKP infection, and provide reference for curbing bacterial drug resistance.
Objective To explore the overall outcome and its factors of patients with carbapenem-resistant Pseudomonas aeruginosa bloodstream infection (CRPA-BSI). Methods A single-center, retrospective cohort study was carried out. The demographic and clinical data of all emergency patients and inpatients in West China Hospital of Sichuan University from 2017 to 2021 were collected. Firstly, the prognosis of patients with CRPA-BSI was compared with those with carbapenem-sensitive Pseudomonas aeruginosa bloodstream infection (CSPA-BSI). Then Cox regression was used to analyze the factors affecting the prognosis of CRPA-BSI patients. Results A total of 53 patients with CRPA-BSI and 175 patients with CSPA-BSI were enrolled, and they were 1∶1 matched according to the age-adjusted Charlson Comorbidity Index (aCCI) to control for confounding factors. When aCCI was similar, the incidence of poor prognosis in CRPA-BSI patients was significantly higher than that in CSPA-BSI patients [41.5% vs. 18.9%; relative risk=2.20, 95% confidence interval (CI) (1.16, 4.19), P=0.011]. The median length of hospital stay in the CRPA-BSI group was 3 d longer than that in the CSPA-BSI group but the difference was not statistically significant (29 vs. 26 d, P=0.388). With regard to prognostic factors, univariate Cox regression analyses showed that the highest temperature ≤39℃ (P=0.014), hepatobiliary and pancreatic diseases (P=0.011), days of central venous catheterization (P=0.025), days of indwelling urinary catheters (P=0.037), adjustment of medication duration according to drug sensitivity results (P=0.015) and Pitt bacteremia score (P=0.007) were related to the poor prognosis of CRPA-BSI patients. Multiple Cox regression analysis showed that hepatobiliary and pancreatic disease [hazard ratio (HR)=3.434, 95%CI (1.271, 9.276), P=0.015] and Pitt bacteremia score [HR=1.264, 95%CI (1.057, 1.510), P=0.010] were independently associated with poor outcome in CRPA-BSI patients. Conclusions The prognosis of CRPA-BSI patients is worsen than that of CSPA-BSI patients. Hepatobiliary and pancreatic diseases significantly increase the risk of poor outcome in CRPA-BSI patients. Pitt bacteremia score is a predictor of prognosis in patients with CRPA-BSI.
Objective To study the risk factors and prognosis of hospital acquired pneumonia( HAP)caused by carbapenem-resistant Acinetobacter baumannii( CRAB) . Methods By a case-control study, the data of 44 cases of HAP caused by CRAB fromJan 2005 to Dec 2007 in Nanfang Hospital were analyzed. 66 cases of HAP caused by Carbapenem-susceptible A. baumannii ( CSAB) were selected randomly at the same time as control. Univariate analysis( T test and chi-square test) and multivariate logistic regression were used for statistics analysis. Results Univariate analysis revealed that five factors associated with the infection caused by CRAB were APACHE Ⅱ score ≥ 16, chronic pulmonary disease ( COPD/ bronchiectasis ) , imipenem/meropenem and fluoroquinolone used 15 days before isolation of CRAB, and early combination therapy of antibiotics. Multivariate logistic regression analysis identified two independent factors as APACHEⅡ score ≥16( OR=6. 41, 95% CI 2. 20-18. 67) and imipenem/meropenemused 15 days before isolation of CRAB( OR =6. 33,95% CI 1. 83-21. 87) . Of 44 cases of CRAB infections, 14 patients died and 30 patients survived. Univariate analysis revealed that two factors associated with poor prognosis were organ failure and clinical pulmonary infection score( CPIS) rise after three-day treatment. According to multivariate logistic regression analysis, only CPIS rise after three-day treatment ( OR =7. 01, 95% CI 1. 23-40. 03) was an independent predictive factor. Conclusions APACHEⅡ score ≥ 16 and imipenem/meropenem used 15 days before isolation of CRAB were independent risk factors for CRAB infection. CPIS rise after three-day treatment was a predictive factor for the prognosis of CRAB infection.
Objective To investigate the clinical characteristics and drug resistance changes of nosocomial infection caused by carbapenem-resistant Klebsiella pneumoniae (CRKP) in different types of clinical departments, and to provide evidence for prevention and control of CRKP infection. Methods The hospital infection real-time monitoring system was used to retrospectively collect the inpatients with CRKP nosocomial infection in the First People’s Hospital of Lianyungang from January 2019 to December 2023 as the research objects. According to the different sources of departments, they were divided into intensive care unit (ICU) group, internal medicine group and surgery group. The changes of clinical characteristics and drug resistance to common antibiotics were analyzed. Results A total of 636188 inpatients were monitored, and 225 cases were infected with CRKP, with an overall infection detection rate of 0.035%. The detection rates of CRKP infection in the ICU group, internal medicine group, and surgery group were 0.736% (138/18749), 0.013% (44/336777), and 0.015% (43/280662), respectively, with the ICU group demonstrating a significantly higher rate than the other groups (P<0.05). The detection rates fluctuated in the early stage and then decreased rapidly in different years. The main infection site of CRKP in all groups was lower respiratory tract, but the proportion of device-related infections in the ICU group was higher than that in the internal medicine and surgery groups (P<0.05). In terms of the infected population, there was no significant difference in gender among groups (P>0.05) with the proportion of males more than 60%, while the difference in the proportion of patients aged ≥65 years among groups was statistically significant (P<0.05), with the highest in the internal medicine group (86.36%). The burden of underlying diseases and invasive operation exposure of the infected patients were high, and the proportion of cardiovascular and cerebrovascular diseases and indwelling catheters were as high as 69.33% and 83.56%, respectively. The differences in the proportions of cardiovascular and cerebrovascular diseases, diabetes mellitus, ≥3 underlying diseases, and surgical and invasive procedures among groups were statistically significant (P<0.05). The distribution of infection specimens in each group showed no statistically significant difference (P>0.05), with sputum, blood, and mid-stream urine specimens being the main detected specimens in all groups. The resistance rates of CRKP to penicillins and cephalosporins were more than 93%, and the resistance rates to aminoglycosides and sulfonamides were relatively low and showed a decline year by year. The resistance rate to ceftazidime/avibactam was only 7.41%, but the resistance rate to tigecycline increased. The difference in resistance rate of CRKP to co-trimoxazole among groups was statistically significant (P<0.05), while the differences in resistance to other antimicrobial agents were not statistically significant (P>0.05). Conclusions The detection rate, clinical characteristics and drug resistance of CRKP infection in different types of departments of medical institutions are different and changing. It is necessary to strengthen the rational use of antibiotics and the prevention and control of nosocomial infection.