Objective To investigate the risk factors of central line-associated bloodstream infection (CLABSI) and provide clinical guidance for reducing the incidence of CLABSI. Methods The clinical data of patients with central venous catheter catheterization in Sichuan Provincial People’s Hospital between January 2018 and December 2021 were retrospectively collected. According to whether CLABSI occurred, the patients were divided into CLABSI group and non-CLABSI group. The data of patients were analyzed and the risk factors of CLABIS were discussed. Results A total of 43 987 patients were included. Among them, there were 63 cases in the CLABSI group and 43924 cases in the non-CLABSI group. The incidence of CLABSI was 0.18/1 000 catheter days. Multivariate logistic regression analysis showed that admission to intensive care unit (ICU) [odds ratio (OR)=74.054, 95% confidence interval (CI) (22.661, 242.005), P<0.001], hemodialysis [OR=4.531, 95%CI (1.899, 10.809), P=0.001] and indwelling catheter days [OR=1.017, 95%CI (1.005, 1.029), P=0.005] were independent risk factors for CLABSI. A total of 63 strains of pathogenic bacteria were isolated from the 63 patients with CLABSI. Among them, 28 strains of Gram-positive bacteria, 25 strains of Gram-negative bacteria and 10 strains of Candida. Conclusions Admission to ICU, hemodialysis and long-term indwelling catheter are independent risk factors for CLABSI. The prevention and control measures of CLABSI should be strictly implemented for such patients to reduce the risk of infection.
Objective To analyze the characteristics of pathogens causing bloodstream infection (BSI) after cardiovascular surgery, and provide instructions for prevention and treatment of such kind of disease. Methods A retrospective investigation of clinical and pathogenic data of the patients suffering from BSI after cardiovascular surgery in West China Hospital of Sichuan University from January 2015 to December 2016 was performed. There were 61 patients with 36 males and 25 females at average age of 48.2±17.1 years. A percentage of 65.6% (40/61) of the underlying diseases was rheumatic heart disease. Results Sixty-five strains were isolated from the blood culture specimens of the 61 patients. Gram-positive bacteria, gram-negative bacteria and fungi isolates accounted for 56.9% (37/65), 35.4% (23/65), and 7.7% (5/65), respectively. Among these isolates, Streptococcus spp. was predominant (19/65, 29.2%), followed by Staphylococcus epidermidis (8/65, 12.3%), Staphylococcus aureus (6/65, 9.2%), Acinetobacter calcoaceticus- A. baumannii (5/65, 7.7%) and Escherichia coli (5/65, 7.7%). The resistance rate of Streptococcus spp. to erythromycin and clindamycin was 73.4% (14/19) and 63.2% (12/19), while its resistance to cefepime, vancomycin or linezolid was not observed. Staphylococcus spp. showed the resistance rate of 71.4% (10/14) to oxacillin. All of A. calcoaceticus-A. baumannii isolates were multidrug resistant (5/5, 100.0%), and 80.0% (4/5) of them were resistant to imipenem. The isolates producing extended spectrum beta-lactamase accounted for 80.0% (4/5) of E. coli. Conclusion Streptococcus spp. was the common pathogen causing BSI after cardiovascular surgery. Staphylococcus spp. and gram-negative bacilli show high resistance.
Objective To investigate the characteristics of the pathogens causing bloodstream infection after general surgery in infant and young children patients, and to provide the references for disease treatment and nosocomial infection control. Methods The clinical and laboratory examination data after general surgery in infant and young children patients, who were admitted to our hospital from January 2012 to March 2017, were retrospectively collected. The pathogens and drug resistance were analyzed by SPSS 18.0 software. Results In this study, 109 cases were included, and 117 strains of the pathogens were isolated, including 53 isolates (45.3%) of gram negative bacteria, 41 isolates (35.0%) of gram positive bacteria, and 23 isolates (19.7%) of fungi. Escherichia coli (16/117, 13.7%), Enterococcus faecium (13/117, 11.1%), Candida parapsilosis (12/117, 10.3%), Klebsiella pneumoniae (9/117, 7.7%) and Enterococcus faecalis (8/117, 6.8%) were the top 5 species. Strains producing extended-spectrum beta-lactamase accounted for 87.5% of E. coli (14/16) and 44.4% (4/9) of K. pneumoniae isolates. Both E. faecium and E. faecalis were susceptible to vancomycin. C. parapsilosis showed the susceptibility to the antifungal agents. Conclusion Gram negative bacteria are predominant pathogens causing bloodstream infection after general surgery in infant and young children patients, and infection caused by resistant isolates should be prevented and controlled.
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 investigate the species distribution and antibiotic resistance among the bloodstream infections in intensive care unit ( ICU) . Methods A retrospective analysis was performed to review the microbiological and susceptibility test data of all bloodstream infections in ICU from January 2004 to September 2009. The patterns of antibiotic resistance among the top five bacteria were compared. Results 89 cases of bloodstream infection were detected with 112 strains, including 55 Gram-positive ( G+ ) bacteria( 49. 1% ) , 55 Gram-negative ( G- ) bacteria ( 49. 1% ) , and 2 fungi ( 1. 8% ) . The main pathogens causing bloodstream infection were Burkholderia spp. ( 33, 29. 5% ) , S. epidermidis( 31, 27. 7% ) , Klebsiella pneumoniae ( 7, 6. 3% ) , S. aureus ( 7, 6. 3% ) , S. hominis ( 6, 5. 4% ) , Acinetobacter baumannii ( 6,5. 4% ) , Pseudomonas aeruginosa( 5, 4. 5% ) and S. haemolyticus( 5, 4. 5%) , suggesting that Burkholderia spp. was predominant pathogenic G- bacteria, and coagulase-negative staphylococcus was predominant G+ bacteria. The antibiotic resistance tests demonstrated that isolated G- bacillus was highly sensitive to carbopenem, while vancomycin-resistant G+ cocci were not found. Conclusions Within the latest 5 years,the prevalence of G+ bacteria infection is almost equivalent to G- bacteria in blood stream infection.Coagulase-negative staphylococcus is the mainly G+ bacteria and Burkholderia spp. is predominant in G- bacteria. Carbopenemand glycopeptides still remain to be the first choice.
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 analyze distribution and drug resistance of pathogens in bloodstream infection in Sichuan Antibiotic Resistance Monitoring Network in 2016, and to provide the basis for clinical rational use of antimicrobial drugs in Sichuan province. Methods A total of 14 543 strains of bacteria in bloodstream infection were collected from Sichuan Antibiotic Resistance Monitoring Network in 2016. Bacteria strains were identified to species, drug susceptibility test was performed by using the MIC and disc diffusion method (KB method). The results were interpreted according to the clinical laboratory standards institute CLSI 2016. Drug resistance was analyzed by using WHONET 5.6 software. Results Among the 14 543 strains of bacteria, Escherichia coli (34.5%), Klebsiella pneumoniae (10.7%), Staphylococcus epidermidis (10.2%), Staphylococcus aureus (7.2%), Staphylococcus hominis (6.0%) ranked the first five. Resistance rate to imipenem was 0.9% for Escherichia coli, resistance rate to imipenem was 2.4% for Klebsiella pneumoniae. No vancomycin-resistance and linezolid-resistance Staphylococcus epidermidis, Staphylococcus aureus and Staphylococcus hominis were found. MRSA detection rate was 25.8%. Conclusion Gram negative bacteria are the main pathogens in the blood cultures in Sichuan province, while attention should pay to the Staphylococcus.
Objective To evaluate the basic performance and clinical application value of nanopore sequencing, in order to provide new ideas for the rapid detection of clinical etiology. Methods From December 2021 to May 2022, blood samples from inpatients suspected of bloodstream infection in Renmin Hospital of Wuhan University were collected, and the nanopore sequencing platform and blood culture method were used to simultaneously identify the pathogenic bacteria in the blood samples of the selected patients, and identify the pathogenic bacteria in the blood samples of the selected patients. The basic performance and clinical utility of nanopore sequencing were evaluated. Results A total of 251 patients were included, and 119 patients (47.4%) were found to have pathogens by nanopore sequencing, which was higher than that of 23 patients (9.2%) by blood culture (χ2=79.167, P<0.001). The results of the two methods are not consistent (kappa=0.052, P=0.175). Nanopore sequencing has a certain missed detection rate. In terms of the types of pathogenic bacteria detected, 47 bacteria and 15 fungi were detected by nanopore sequencing. Conclusion Compared with blood culture, nanopore sequencing has a higher detection rate and more types of pathogens. This technology has obvious advantages in the rapid diagnosis of bloodstream infection pathogens.