Objective To investigate the species distribution and antibiotic resistance of pathogens fromcatheter-related bloodstream infections ( CRBSI) in intensive care unit( ICU) , to provide evidence for the guidance of clinical rational administration.Methods A retrospective analysis was performed to review the microbiological and susceptibility test data of all CRBSI patients in ICU from January 2009 to December 2011. The patterns of antibiotic resistance among the top seven bacteria were compared. Results 67 cases of CRBSI were detected with 81 strains, including 40 Gram-positive ( G+ ) bacteria( 49.4% ) , 38 Gram-negative( G- ) bacteria ( 46.9% ) , and 3 fungi ( 3.7% ) . The main pathogens causing CRBSI were coagulase negative Staphylococci ( 27 strains, 33.3%) , Acinetobacter baumannii ( 12 strains, 14.8% ) , Klebsiella pneumoniae( 9 strains, 11. 1% ) , Staphylococcus aureus ( 8 strains, 9. 9% ) , Pseudomonas aeruginosa ( 7 strains, 8. 6% ) , Escherichia coli ( 6 strains, 7.4% ) , suggesting that Staphylococcus epidermidis was predominant pathogenic G+ bacteria, and Acinetobacter baumannii was predominant G- bacteria. The antibiotic resistance tests demonstrated that isolated G- bacillus was highly sensitive to carbopenem, while vancomycin-resistant G+ bacteria were not found. Conclusions Within the latest 3 years, the predominant pathogens of CRBSI in ICU are Staphylococcus epidermidis and Acinetobacter baumannii. Acinetobacter baumannii exhibited high drug resistance to all antibiotics.
Objective To explore the risk factors of catheter-associated bloodstream infections ( CRBSI) in intensive care unit ( ICU) of primary hospital. Methods A total of 623 patients with central venous catheters were recruited in the study. 60 of themsuffered fromCRBSI served as an observation group and other 563 cases without CRBSI served as control. Univariate analysis was used to scan possible risk factors. Then logistic regression analysis was used to exclude the confounding factors. Results The overall incidence rate of CRBSI was 9. 63% ( 60 /623) . There were significant differences in APACHE score, type of catheter, location of catheter, duration of central venous catheter, intravenous nutrition, use of steroid, times of intubation, urgent intubations, nutritional status, diabetes, and MODS between the two groups. Logistic regression analysis revealed that higher APACHE score, double-lumen catheter, femoral vein catheter, catheter indwelling more than two weeks, intravenous nutrition, intubation more than 2 times, and emergency intubation were risk factors of CRBSI. Conclusions Higher APACHE score, double-lumen catheter, femoral vein catheter, catheter indwelling more than two weeks, intravenous nutrition, intubation more than 2 times, and emergency intubation were major risk factors of CRBSI in ICU of primary hospital.
ObjectiveTo investigate the diagnostic value of simultaneous culture of central venous catheter (CVC) blood and peripheral blood for catheter-related bloodstream infections (CRBSI). MethodsNon-septic patients who were treated with CVC for 1 to 7 days were enrolled from February 2011 to February 2015 in the First Hospital of Wuhan City. Blood were collected from both peripheral vein and CVC for bacterial culture once a day. The CVCs were removed from patients who got CRBSI from the first to sixth day and who did not by the end of the seventh day for semi-quantitative catheter culture, quantitative catheter culture, CVC culture and catheter exit-site pus culture. The diagnosis of CRBSI were based on 4 methods as follows:A, both peripheral and CVC blood were positive and the time of CVC blood positive were 2 hours earlier than peripheral blood; B, the colonies of semi-quantitative catheter cultures were ≥15 CFU and the microorganisms in both CVC and peripheral blood were the same; C, the colonies ratio of CVC and peripheral blood cultures were ≥5:1; D, the microorganisms in both the peripheral blood and catheter exit-site pus were the same. The diagnostic value of the four methods was compared. ResultsA total of 1 086 patients were finally included. From 1 to 7 days, 64 patients were peripheral blood positive, 79 were CVC blood positive. The patients diagnosed as CRBSI using A, B, C, and D methods were 58, 55, 51, and 36, respectively. Sixty patients were diagnosed as CRBSI based on the clinical and laboratory methods. For the number of patients diagnosed with CRBSI, there was no significant difference between A and B (P>0.05), as well as A and C (P>0.05), however, significant difference was found between A and D (P<0.05). In the diagnostic value of CRBSI, A is similar to B (sensitivity:93.33% vs. 91.67%, specificity:99.81% vs. 100%, Youden index:0.93 vs. 0.92). A, B and C had almost similar specificity (all >99%), however, A had higher sensitivity (93.33% vs. 76.67%, 58.33%) and Youden index (0.93 vs. 0.76, 0.58). ConclusionSimultaneous culture of CVC blood and peripheral blood has a good diagnostic value for CRBSI.
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 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 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 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.
ObjectiveTo analyze the prognostic factors of patients with bacterial bloodstream infection sepsis and to identify independent risk factors related to death, so as to potentially develop one predictive model for clinical practice. Method A non-intervention retrospective study was carried out. The relative data of adult sepsis patients with positive bacterial blood culture (including central venous catheter tip culture) within 48 hours after admission were collected from the electronic medical database of the First Affiliated Hospital of Dalian Medical University from January 1, 2018 to December 31, 2019, including demographic characters, vital signs, laboratory data, etc. The patients were divided into a survival group and a death group according to in-hospital outcome. The risk factors were analyzed and the prediction model was established by means of multi-factor logistics regression. The discriminatory ability of the model was shown by area under the receiver operating characteristic curve (AUC). The visualization of the predictive model was drawn by nomogram and the model was also verified by internal validation methods with R language. Results A total of 1189 patients were retrieved, and 563 qualified patients were included in the study, including 398 in the survival group and 165 in the death group. Except gender and pathogen type, other indicators yielded statistical differences in single factor comparison between the survival group and the death group. Independent risk factors included in the logistic regression prediction model were: age [P=0.000, 95% confidence interval (CI) 0.949 - 0.982], heart rate (P=0.000, 95%CI 0.966 - 0.987), platelet count (P=0.009, 95%CI 1.001 - 1.006), fibrinogen (P=0.036, 95%CI 1.010 - 1.325), serum potassium ion (P=0.005, 95%CI 0.426 - 0.861), serum chloride ion (P=0.054, 95%CI 0.939 - 1.001), aspartate aminotransferase (P=0.03, 95%CI 0.996 - 1.000), serum globulin (P=0.025, 95%CI 1.006 - 1.086), and mean arterial pressure (P=0.250, 95%CI 0.995 - 1.021). The AUC of the prediction model was 0.779 (95%CI 0.737 - 0.821). The prediction efficiency of the total score of the model's nomogram was good in the 210 - 320 interval, and mean absolute error was 0.011, mean squared error was 0.00018. Conclusions The basic vital signs within 48 h admitting into hospital, as well those homeostasis disordering index indicated by coagulation, liver and renal dysfunction are highly correlated with the prognosis of septic patients with bacterial bloodstream infection. Early warning should be set in order to achieve early detection and rescue patients’ lives.
Objective To explore the vascular access infection (VAI) incidence of hemodialysis patients during the the maximum spread of the COVID-19 epidemic (epidemic period) compared with the corresponding period with no local cases of COVID-19 (control period). Methods A single-center, retrospective study was carried out. Adult patients who underwent hemodialysis at the Department of Blood Purification Center, the Affiliated Hospital of Xuzhou Medical University during the epidemic period between December 7, 2022 and February 23, 2023 and the control period between December 7, 2020 and February 23, 2021 were selected. The incidence of local access site infection (LASI) and access related bloodstream infection (ARBSI) in included patients were observed and compared. ResultsA total of 1 401 patients were included. Among them, there were 737 cases during the epidemic period and 664 cases during the control period. There was no statistically significant difference in the age, gender, and duration of catheterization among patients of different periods and pathway types (P>0.05). There was no statistically significant difference in the occurrence of LASI between the epidemic period and the control period (χ2=1.800, P=1.180). There was a statistically significant difference in the occurrence of ARBSI between the epidemic period and the control period [χ2=4.610, relative risk (RR)=2.575, 95% confidence interval (CI) (1.053, 6.298), P=0.032]. There was no statistically significant difference in the incidence of LASI and ARBSI at different stages in patients with arteriovenous fistula and unnel-cuffed catheters (TCC) (P＞0.05). There were statistically significant differences in the incidence of LASI [χ2=4.898, RR=3.832, 95%CI (1.058, 13.885), P=0.027] and ARBSI [χ2=7.150, RR=4.684, 95%CI (1.333, 16.460), P=0.005] among non cuffed catheters (NCC) patients at different stages. TCC patients might experience LASI (P<0.05) during the epidemic period and ARBSI (P<0.05) during the control period compared with the arteriovenous fistula patients; both central venous catheterization and NCC patients might experience LASI and ARBSI during the control period (P<0.05). Conclusion Targeting COVID-19 prevention may be associated with the reduction of vascular access infection in hemodialysis patients, in particular in NCC patients.