Acinetobacter Baumannii Bacteremia Research Articles

The Microbiological Characteristics of Acinetobacter Baumannii Associated With Early Mortality in Patients With Bloodstream Infection.

Despite rapid deaths resulting from Acinetobacter baumannii bacteremia, the clinical impact of the microbiological characteristics of A baumannii strains on early mortality (EM) is unclear. We aimed to identify the microbiological characteristics of A baumannii strains associated with EM. Clinical information and isolates from patients with A baumannii bacteremia from January 2015 to December 2021 were collected. EM was defined as death within 3 days of the initial positive blood culture, whereas late mortality meant death within 5-30 days. The microbiological characteristics of A baumannii were analyzed using multilocus sequence typing, polymerase chain reactions, and a Galleria mellonella in vivo infection model. Among 130 patients, 69 (53.1%) died within 30 days and EM occurred in 38 (55.1% of 30-day deaths). Sequence type 191 (ST191) strain was more prevalent in patients with EM than in 30-day survivors (31.6% vs 6.6%). Regarding virulence genes, bfmS was more frequent (92.1% vs 47.5%), whereas bauA was less frequent (13.2% vs 52.5%) in patients with EM than in 30-day survivors. Higher clinical severity, pneumonia, and ST191 infection were identified as independent risk factors for EM. In the G mellonella infection model, ST191, bfmS+, and bauA- isolates showed higher virulence than non-ST191, bfmS-, and bauA+ isolates, respectively. ST191 and bfmS were more frequently found in the EM group. ST191 infection was also an independent risk factor for EM and highly virulent in the in vivo model. Tailored infection control measures based on these characteristics are necessary for A baumannii bacteremia management.

Risk factors for bacteremic pneumonia and mortality (28-day mortality) in patients with Acinetobacter baumannii bacteremia

BackgroundPatients infected with Acinetobacter baumannii (AB) bacteremia in hospital have high morbidity and mortality. We analyzed the clinical characteristics of pneumonia and nonpneumonia-related AB bloodstream infections (AB BSIs) and explored the possible independent risk factors for the incidence and prognosis of pneumonia-related AB BSIs.MethodsA retrospective monocentric observational study was performed. All 117 episodes of hospital-acquired AB bacteremia sorted into groups of pneumonia-related AB BSIs (n = 45) and nonpneumonia-related AB BSIs (n = 72) were eligible. Univariate/multivariate logistic regression analysis was used to explore the independent risk factors. The primary outcome was the antibiotic susceptibility in vitro of pneumonia-related AB BSIs group. The secondary outcome was the independent risk factor for the pneumonia-related AB BSIs group.ResultsAmong 117 patients with AB BSIs, the pneumonia-related group had a greater risk of multidrug resistant A. baumannii (MDRAB) infection (84.44%) and carbapenem-resistant A. baumannii (CRAB) infection (80%). Polymyxin, minocycline and amikacin had relatively high susceptibility rates (> 80%) in the nonpneumonia-related group. However, in the pneumonia-related group, only polymyxin had a drug susceptibility rate of over 80%. Univariate analysis showed that survival time (day), CRAB, MDRAB, length of hospital stay prior to culture, length of ICU stay prior to culture, immunocompromised status, antibiotics used prior to culture (n > = 3 types), endotracheal tube, fiberoptic bronchoscopy, PITT, SOFA and invasive interventions (n > = 3 types) were associated with pneumonia-related AB bacteremia. The multivariate logistic regression analysis revealed that recent surgery (within 1 mo) [P = 0.043; 0.306 (0.098–0.962)] and invasive interventions (n > = 3 types) [P = 0.021; 0.072 (0.008–0.671)] were independent risk factors related to pneumonia-related AB bacteremia. Multivariate logistic regression analysis revealed that length of ICU stay prior to culture [P = 0.009; 0.959 (0.930–0.990)] and recent surgery (within 1 mo) [P = 0.004; 0.260 (0.105–0.646)] were independent risk factors for mortality in patients with pneumonia-related AB bacteremia. The Kaplan‒Meier curve and the timing test showed that patients with pneumonia-related AB bacteremia had shorter survival time compared to those with nonpneumonia-related AB bacteremia.ConclusionsOur study found that A. baumannii had a high rate of antibiotic resistance in vitro in the pneumonia-related bacteremia group, and was only sensitive to polymyxin. Recent surgery was a significantly independent predictor in patients with pneumonia-related AB bacteremia.

Risk factors for bacteremia and mortality due to multidrug-resistant Acinetobacter baumannii: a retrospective study.

This research aimed to determine the relationships between the risk factors for nosocomial multidrug-resistant Acinetobacter baumannii (MDRAB) bacteremia and associated mortality. We analyzed 144 patients treated for A. baumannii bacteremia, including 120 patients with MDRAB bacteremia, from March 2015 to March 2020, in this retrospective study. The overall bacteremia-related mortality rate was 48.6%. The mortality rates were 25.0% and 53.3% for non-MDRAB and MDRAB bacteremia, respectively. Risk factors for the development of MDRAB bacteremia were prior use of cephalosporins [odds ratio (OR): 8.62; P<.001], carbapenems (OR: 15.04; P<.001), or quinolones (OR: 5.02; P=.040); indwelling urinary catheters (OR: 21.38; P<.001); and respiratory tract as the source of bacteremia (OR: 75.33; P<.001). Patients with elective surgeries were inclined to develop non-MDRAB bacteremia (OR: 0.45; P=.029). High scores in the Acute Physiology and Chronic Health Evaluation II (OR: 1.321; P<.001) and Sequential Organ Failure Assessment (OR: 1.326; P<.001) were risk factors for mortality from MDRAB infection. In summary, higher mortality rates occur in patients with MDRAB bacteremia, and risk factors include prior use of cephalosporins, carbapenems, or quinolones. Urinary catheters and the respiratory tract as sources of the infection increase the risk of MDRAB bacteremia.

Clinical and molecular predictors of mortality in patients with carbapenem-resistant Acinetobacter baumannii bacteremia: A retrospective cohort study

Background/PurposeTo investigate the virulence profiles and identify clinical and microbiological predictors of mortality in patients with carbapenem-resistant Acinetobacter baumannii (A. baumannii) bacteremia. MethodsThis retrospective cohort study enrolled adult patients with carbapenem-resistant A. baumannii (CRAB). Multivariate logistic regression was used to identify the predictors of 30-day mortality. All isolates were subjected to real-time polymerase chain reaction for virulence factors and genotyped using multilocus sequence typing. ResultsAmong the 153 patients with CRAB bacteremia, 66 % received appropriate definitive antibiotic therapy. The in-hospital and 30-day mortality rates were 58.3 and 23.5 %, respectively. Ultimately, we enrolled 125 patients with CRAB bacteremia in the analysis, excluding early mortality cases. All CRAB isolates carried blaOXA-23 and blaOXA-51. The clinical strains belonged to 10 sequence types (STs), and the major genotypes were ST191, ST195, ST451, and ST784. The distribution of virulence factors included surface adhesion (Ata, 84.8 %; ChoP, 7.2 %), biofilm formation (OmpA, 76.8 %), killing of host cells (AbeD, 99.2 %), toxins (LipA, 99.2 %), and conjugation (BfmR, 90.4 %). In multivariate logistic regression analysis, hemodialysis due to acute kidney injury and moderate to severe thrombocytopenia were significant risk factors associated with 30-day mortality. However, microbiological factors were not significant predictors. ConclusionsClinical factors such as hemodialysis due to acute renal injury and moderate to severe thrombocytopenia have a greater influence on mortality in CRAB bacteremia compared with microbiological factors.

Initial indicators for the prognosis of Acinetobacter Baumannii bacteremia in children

BackgroundRisk factors related to mortality due to Acinetobacter baumannii (AB) bacteremia have been unveiled previously, but early clinical manifestations of AB bacteremia based on prognosis remain uncovered.MethodsThe demographic characteristics, clinical features, antibiotic susceptibility, and outcomes of 37 hospitalized children with laboratory-confirmed AB bacteremia from Suzhou, China, were collected and analyzed retrospectively.ResultsOf the 37 children with AB bacteremia included in this study, 23 were males and 14 were females, with a median age of 4.83 (0.60 to 10.15) years. Among the children, 18 died (48.65%, 18/37) and 19 survived (51.35%, 19/37). The dead group had a significantly higher incidence of respiratory failure (p = 0.008), shock (P = 0.000), MODS (p = 0.000), neutropenia (< 1.5 × 109/L) (p = 0.000) and serious neutropenia (< 0.5 × 109/L) (p = 0.000) than those in the survival group. The death group had significantly more invasive procedures (2 or more) than that in the survival group at 2 weeks before onset (p = 0.005). The proportion of MDR-AB in the death group was significantly higher than that in the survival group (p = 0.000), while the PICS score was significantly lower in the survival group than that in the death group (p = 0.000). There was no significant difference in effective antibiotic use within 24 h between these two groups (p = 0.295). Among the 37 children with bloodstream infection of AB, 56.76% (21/37) of the underlying diseases were hematological diseases and oncology. Among them, 17 (81.00%) were died in the hospital. The proportion of white blood cells (p = 0.000), neutrophils (p = 0.042), eosinophils (p = 0.029), the ANC (p = 0.000) and lymphocyte (p = 0.000), the NLR(p = 0.011), hemoglobin (p = 0.001), platelets (p = 0.000), prealbumin (P = 0.000), LDH (p = 0.017), blood gas pH (p = 0.000), and serum potassium (p = 0.002) in the death group were significantly lower than those in the survival group. However, CRP (p = 0.000) and blood glucose(p = 0.036) were significantly higher in the death group than those in the survival group. By further multivariate analysis, CRP [OR (95% CI): 1.022(1.003, 1.041), p = 0.021] and neutropenia [OR (95% CI): 21.634 (2.05, 228.313, p = 0.011] within 24 h of infection were independent risk factors for death in children with AB bacteremia. When CRP was higher than 59.02 mg/L, the sensitivity of predicting mortality was 88.9%, and the specificity was 78.9%. And the sensitivity and specificity of neutropenia for predicting mortality were 83.3% and 84.2%.ConclusionsAB bacteremia has a high mortality in children, especially in patients with hematological diseases and oncology. Many early indicators were associated with poor prognosis, while elevated CRP and neutropenia were the independent predictors for the 30-day mortality of children with laboratory-confirmed AB bacteremia.

Enzyme Patterns and Factors Associated with Mortality among Patients with Carbapenem Resistant AcinetobacterBaumannii (CRAB) Bacteremia: Real World Evidence from a Tertiary Center in India.

In the Indian setting, antimicrobial resistance in A. baumannii is a considerable problem, especially in intensive care units (ICUs). Due to the limited data, clinicians are left with very few choices except polymyxins for treating serious infections caused by A. baumannii. There is sparse data regarding the local mechanisms of resistance. Given the current therapeutic challenges, it is critical to know the local enzymatic patterns and antibiograms. A retrospective analysis of 50 episodes of bacteremia caused by CRAB. We analyzed the enzyme patterns and the susceptibility rates to various antibiotics. The resistance rates for amikacin, tigecycline, minocycline, and fluoroquinolones were 88, 82, 50, and 88% respectively. OXA-23 was the most commonly isolated enzyme (86% of the isolates produced OXA-23) followed by OXA-51 and NDM. The overall mortality was high (58%). On univariate analysis, pneumonia, and higher Pitt's bacteremia score were significantly associated with mortality (p = 0.04 and p = 0.001 respectively). Of the total patients who received combination therapy, a majority (58%) received polymyxin plus meropenem. Combination therapy using polymyxins as a backbone was not associated with reduced mortality (p = 0.1). A. baumannii is associated with significant morbidity and mortality, as shown in our study. The rates of resistance for aminoglycosides were very high, and minocycline showed better susceptibility rates in comparison with tigecycline. In our study, OXA-23 and NDM remained the most important enzymes. The routine use of the combination of polymyxin and meropenem may not offer a significant advantage over monotherapy. Prayag PS, Patwardhan SA, Joshi RS, Panchakshari SP, Rane T, Prayag AP. Enzyme Patterns and Factors Associated with Mortality among Patients with Carbapenem Resistant Acinetobacter Baumannii (CRAB) Bacteremia: Real World Evidence from a Tertiary Center in India. Indian J Crit Care Med 2023;27(9):663-668.

Incidence, mortality, and risk factors associated with carbapenem-resistant acinetobacter baumannii bacteremia within 30 days after liver transplantation

Incidence, mortality, and risk factors associated with carbapenem-resistant acinetobacter baumannii bacteremia within 30 days after liver transplantation

Clinical Outcomes and Associated Factors for Mortality among Pediatric Patients with Carbapenem-Resistant Acinetobacter baumannii

Background: Acinetobacter baumannii bacteremia is a hospital-acquired infection with a high mortality rate. Up to 80% of hospital-acquired A. baumannii infections are caused by carbapenem-resistant Acinetobacter baumannii (CRAB) strains. Objective: To determine the overall 30-day mortality rate, factors associated with mortality, and antibiotic drug susceptibility patterns of CRAB isolates among children with hospital-acquired CRAB bloodstream infections. Materials and Methods: A retrospective review was conducted among hospitalized pediatric patients between January 2017 and September 2022 at King Chulalongkorn Memorial Hospital, Bangkok. The inclusion criteria were CRAB bacteremia in children under 18 years of age. Thirty-day mortality after CRAB bacteremia was analyzed using Kaplan-Meier estimates. Associated factors were analyzed by Poisson regression. Antibiotic susceptibility patterns of nine antimicrobial agents were summarized. Results: Fifty-eight patients with 66 episodes of CRAB bacteremia were identified. The median age was 7.5 months (IQR 0.8 to 60.0), and 86.4% of the patients were admitted to the intensive care unit. Central line-associated bloodstream infections (CLABSI) were identified in 90.9% of cases. Most patients (74.2%) received colistin combination with sulbactam regimen. The 30-day mortality rate was 19.7% (95% CI 10.9 to 31.3). Associated factors for mortality rate were septic shock (aRR 7.6, 95% CI 2.3 to 25.0) and underlying congenital heart disease (aRR 3.4, 95% CI 1.0 to 11.7). Drug susceptibility of colistin and tigecycline were 93% and 48%, respectively. Sulbactam was not susceptible. Conclusion: One-fifth of children with CRAB bacteremia died within 30 days. Associated factors with mortality were septic shock and congenital heart disease. Colistin had the highest in vitro drug susceptibility rate. The common regimen used in the present study was colistin combination with sulbactam therapy. Keywords: Acinetobacter baumannii; Bacteremia; Carbapenem resistance; Susceptibility; Mortality; Pediatrics

Incidence, mortality, and risk factors associated with carbapenem-resistant Acinetobacter baumannii bacteremia within 30 days after liver transplantation.

Carbapenem-resistant Acinetobacter baumannii bacteremia (CRAB-B) is a fatal infectious complication of liver transplantation (LT). This study investigated the incidence, effects, and risk factors associated with CRAB-B during the early post-LT period. Among 1051 eligible LT recipients, 29 patients experienced CRAB-B within 30 days of LT with a cumulative incidence of 2.7%. In the patients with CRAB-B (n=29) and matched controls (n=145) by nested-case control design, the cumulative incidence of death on days 5, 10, and 30 from the index date was 58.6%, 65.5%, and 65.5%, and 2.1%, 2.8%, and 4.2%, respectively (p<.001). Pre-transplant MELD (OR 1.11, 95% confidence interval [CI] 1.04-1.19, p=.002), severe encephalopathy (OR 4.62, 95% CI 1.24-18.61, p=.025), donor body mass index (OR .57, 95% CI .41-.75, p<.001), and reoperation (OR 6.40, 95% CI 1.19-36.82, p=.032) were independent risk factors for 30-day CRAB-B. CRAB-B showed extremely high mortality within 30 days after LT, especially within 5 days after its occurrence. Therefore, assessment of risk factors and early detection of CRAB, followed by proper treatment, are necessary to control CRAB-B after LT.

Clinical Effectiveness of Tetracycline-Class Agents Based Regimens in Patients With Carbapenem-Resistant Acinetobacter baumannii Bacteremia: A Single-Center Retrospective Cohort Study.

This study evaluated the clinical outcome of carbapenem-resistant Acinetobacter baumannii (CRAB) bacteremia and the clinical effectiveness of tetracyclines-based therapy. In a retrospective cohort study over 5 years period, 108 patients were included in the study. The overall 30-day mortality rate was 71.4%. Pitt's bacteremia score (PBS) (adjusted hazard ratio [aHR], 1.32; 95% confidence interval [CI], 1.22-1.42 per 1-point), colistin-single regimens (aHR, 0.34; 95% CI, 0.17-0.69), and tetracyclines single/tetracyclines-colistin combination regimens (aHR, 0.18; 95% CI, 0.07-0.48) were independently associated with 30-day mortality. Among patients with a PBS < 6, only tetracycline-containing regimens were associated with decreased mortality. Among patients receiving appropriate definite antimicrobials, the tetracyclines-colistin combination (7 of 7, 100%) tended to a higher 30-day survival rate compared to a tetracycline (7 of 12, 57.1%) or colistin single regimen (10 of 22, 41.6%, P = 0.073). Our findings suggest tetracyclines might be effective for treating CRAB infections when combined with colistin.

Clinical impact of COVID-19 in patients with carbapenem-resistant Acinetobacter baumannii bacteremia.

The aim of this study was to evaluate the impact of coronavirus disease 2019 (COVID-19) on treatment outcomes in critically ill patients with carbapenem-resistant Acinetobacter baumannii (CRAB) bloodstream infection (BSI). This single-centre, retrospective cohort study was conducted in a 1,048-bed university-affiliated tertiary hospital in the Republic of Korea from January 2021 to March 2022. The study participants included consecutive hospitalised adult patients (aged ≥18years) in the intensive care unit with CRAB monomicrobial BSI. During the study period, a total of 70 patients were included in our study, and 24 (34.3%) were diagnosed with COVID-19. The 28-day mortality rate was 64.3%. In the multivariate Cox proportional hazard regression analysis, diagnosis of COVID-19 (hazard ratio (HR), 2.91; 95% confidence interval (CI): 1.45-5.87), neutropenia (HR, 2.76; 95% CI: 1.04-7.29), Pitt bacteraemia score (per point; HR, 1.30; 95% CI: 1.19-1.41), and appropriate definite antibiotic therapy (HR, 0.31; 95% CI: 0.15-0.62) were independent predictors of 28-day mortality in patients with CRAB BSI. In conclusion, our findings suggested that COVID-19 has a negative prognostic impact on patients with CRAB BSI. Further study is needed to investigate the specific mechanisms of how COVID-19 worsens the prognosis of CRAB infection.

1855. Risk factors for early mortality in patients with carbapenem-resistant Acinetobacter baumannii bacteremia

Abstract Background Although many deaths due to carbapenem-resistant Acinetobacter baumannii (CRAB) bacteremia occur within a few days after the onset of bacteremia, risk factors for early mortality (EM) have not been deeply investigated. We aimed to determine the risk factors for EM and the difference between risk factors associated with EM and late mortality (LM) in CRAB bacteremia. Methods All patients with CRAB bacteremia in 10 hospitals during a 1-year study period were identified. We prospectively collected patients’ clinical data, including microbiological and demographic data, underlying comorbidities, origin of bacteremia, severity of illness, antibiotic therapy, and mortality. Among the cases with mortality within 30 days, EM and LM were defined as death within 3 and more than 5 calendar days from the first positive blood culture, respectively. Results A total of 212 CRAB bacteremia cases were included in the analysis. Of 122 (57.5%) patients with 30-day mortality, EM was observed in 75 (61.5%) patients and LM in 39 (32.0%) patients. The proportion of severe sepsis or septic shock, Pitt score, and Sequential Organ Failure Assessment (SOFA) score were significantly higher in 30-day deaths than 30-day survivors. These factors of clinical severity were also significantly higher in patients with EM than those with LM. While urinary tract infection as the factor of site of infection and the severity of illness were independent predictors of LM, only factors representing the severity of illness were independent risk factors for EM. Appropriate empirical antibiotic therapy was associated with reduced risk of EM. Conclusion The difference between risk factors for EM and LM was identified in this study. Our data suggest that a large proportion of CRAB bacteremia with high severity progress to a rapidly fatal course, regardless of the underlying diseases or source of infection. Further studies might be needed to investigate the microbiological factors associated with CRAB and pathogen-host interaction in patients with EM. Disclosures All Authors: No reported disclosures.

Microbiological characteristics and risk factors on prognosis associated with Acinetobacter baumannii bacteremia in general hospital: A single-center retrospective study.

Acinetobacter baumannii is one of the most important pathogenic bacteria causing nosocomial infections and has a high mortality rate. Assessment of the microbiological characteristics and risk factors on prognosis associated with A.baumannii is essential. In this study, we aimed to investigate the clinical characteristics and prognostic risk factors of patients with A.baumannii bacteremia. This study retrospectively analyzed the antibiotic resistance of pathogens based on the clinical data of A.baumannii bacteremia patients presented in a tertiary teaching hospital from 2017 to 2022. Logistic regression and decision tree identified the prognostic risk factors for patients with baumannemia. Kaplan-Meier method was used for survival analysis between MDR and Non-MDR groups. The area under receiver-operating characteristic curve (ROC curve) was used to compare the predictive value of the APACHE II score and Sequential Organ Failure Assessment (SOFA) score. A total of 110 patients with positive A. Baumannii blood cultures were included. Most of the patients were from intensive care unit (ICU) wards. The drug sensitivity results showed that the resistance rate of A. baumannii to colistin was the lowest (1.1%), followed by tigecycline (3.6%).The survival time of MDR group was significantly shorter than that of Non-MDR group. Multivariate analysis showed that, APACHE II score and SOFA score were independent risk factors affecting the prognosis of 28 days of A.baumannii bacteremia. And both scores displayed excellent AUROCs (SOFA: 0.909, APACHE II: 0.895 in predicting 28-day mortality). The two scoring systems were highly correlated and predicted no significant difference (r 2 = 0.4410, P < 0.001). We found that SOFA > 7 and APACHE II > 21 are associated with significantly higher mortality rates. A.baumannii bacteremia have the highest incidence in the ICU, with high drug resistance and mortality rates. The survival time of patients with MDR A. Baumannii bacteremia was significantly shortened. The SOFA score and APACHE II score can reflect the severity of A.baumannii bacteremia patients and evaluate the 28-day prognosis. In addition, for the convenience of calculation, the SOFA score may be more clinically useful than the APACHE II score in predicting the mortality rate of A.baumannii bacteremia.

Mortality predictors on the day of healthcare-associated Acinetobacter baumanni bacteremia in intensive care unit.

Mortality of healthcare-associated Acinetobacter baumannii bacteremia can be 50-60% in intensive care units (ICUs). We aimed to determine the risk factors for 28-day mortality in patients with sepsis due to A. baumannii bacteremia during their ICU follow-up. Demographic characteristics, disease severity scores on admission and bacteremia day (BD), resistance status, invasive interventions, and laboratory values showing the infection and severity of the BD, were compared between groups with and without mortality as a retrospective cohort study in the ICU of a tertiary hospital. Of a total of 2411 patients, there were 192 cases of bacteremia. After applying the exclusion criteria, 39 patients were recruited for the study, 25 of whom died (mortality rate 64.1%). Higher age, Simplified Acute Physiology Score II (SAPS II) on admission and high Sequential Organ Failure Assessment Score (SOFA), Red Blood Cell Distribution Width (RDW) (p < 0.001), and C-Reactive Protein (CRP) (p = 0.002) on the BD and invasive intervention in follow-up were associated with mortality. When CRP and RDW were both positive, sensitivity was 72%, specificity was 100%, negative predictive value was 33%, and positive predictive value was 100% for the 28-day mortality after BD. Based on multivariate analysis, CRP and RDW values on the BD were independent risk factors for mortality. It is critical to monitor SOFA, RDW, and CRP values in older ICU patients with SAPS II scores and who undergo invasive intervention in follow-up. Increases in these parameters may indicate bacteremia with high mortality due to A. baumannii.

Biofilm formation is not an independent risk factor for mortality in patients with Acinetobacter baumannii bacteremia.

In the past decades, due to the high prevalence of the antibiotic-resistant isolates of Acinetobacter baumannii, it has emerged as one of the most troublesome pathogens threatening the global healthcare system. Furthermore, this pathogen has the ability to form biofilms, which is another effective mechanism by which it survives in the presence of antibiotics. However, the clinical impact of biofilm-forming A. baumannii isolates on patients with bacteremia is largely unknown. This retrospective study was conducted at five medical centers in Taiwan over a 9-year period. A total of 252 and 459 patients with bacteremia caused by biofilm- and non-biofilm-forming isolates of A. baumannii, respectively, were enrolled. The clinical demographics, antimicrobial susceptibility, biofilm-forming ability, and patient clinical outcomes were analyzed. The biofilm-forming ability of the isolates was assessed using a microtiter plate assay. Multivariate analysis revealed the higher APACHE II score, shock status, lack of appropriate antimicrobial therapy, and carbapenem resistance of the infected strain were independent risk factors of 28-day mortality in the patients with A. baumannii bacteremia. However, there was no significant difference between the 28-day survival and non-survival groups, in terms of the biofilm forming ability. Compared to the patients infected with non-biofilm-forming isolates, those infected with biofilm-forming isolates had a lower in-hospital mortality rate. Patients with either congestive heart failure, underlying hematological malignancy, or chemotherapy recipients were more likely to become infected with the biofilm-forming isolates. Multivariate analysis showed congestive heart failure was an independent risk factor of infection with biofilm-forming isolates, while those with arterial lines tended to be infected with non-biofilm-forming isolates. There were no significant differences in the sources of infection between the biofilm-forming and non-biofilm-forming isolate groups. Carbapenem susceptibility was also similar between these groups. In conclusion, the patients infected with the biofilm-forming isolates of the A. baumannii exhibited different clinical features than those infected with non-biofilm-forming isolates. The biofilm-forming ability of A. baumannii may also influence the antibiotic susceptibility of its isolates. However, it was not an independent risk factor for a 28-day mortality in the patients with bacteremia.

Risk factors for early mortality in patients with carbapenem-resistant Acinetobacter baumannii bacteraemia

Although many deaths due to carbapenem-resistant Acinetobacter baumannii (CRAB) bacteraemia occur within a few days after the onset of bacteraemia, risk factors for early mortality (EM) have not been deeply investigated. We aimed to determine the risk factors for EM and the difference between risk factors associated with EM and late mortality (LM) in CRAB bacteraemia. Clinical information on all patients with CRAB bacteraemia in 10 hospitals during a 1-year period was collected. Among the cases with mortality within 30 days, EM and LM were defined as death within 3 and more than 5 calendar days from the first positive blood culture, respectively. In total, 212 CRAB bacteraemia cases were included in the analysis. Of 122 (57.5%) patients with 30-day mortality, EM was observed in 75 (61.5%) patients and LM in 39 (32.0%) patients. The proportion of severe sepsis or septic shock, Pitt score, and Sequential Organ Failure Assessment (SOFA) score was significantly higher in patients with EM than those with LM. Although urinary tract infection as the site of infection and the severity of illness were independent predictors of LM, only factors representing the severity of illness were independent risk factors for EM. Our results suggest that a large proportion of CRAB bacteraemia with high severity progresses to a rapidly fatal course, regardless of the underlying diseases or source of infection. Further studies might be needed to investigate the microbiological factors associated with CRAB and pathogen-host interaction in patients with EM.

Replacement of the Dominant ST191 Clone by ST369 Among Carbapenem-Resistant Acinetobacter baumannii Bloodstream Isolates at a Tertiary Care Hospital in South Korea.

The clonal dissemination of carbapenem-resistant Acinetobacter baumannii (CRAB) bacteremia is a serious clinical problem worldwide. However, the factors related to the emergence and replacement of predominant CRAB clones in nosocomial settings are unclear. By multilocus sequence typing (MLST), we evaluated the genetic relatedness of CRAB bloodstream isolates at a tertiary care hospital over a 3.5-year period and investigated the clinical and microbiologic characteristics of the predominant sequence types (STs). One hundred and seventy-nine CRAB bloodstream isolates were collected from June 2016 to December 2019, and their MLSTs according to Oxford scheme and clinical data were obtained. The predominant STs were assessed for in vitro growth, competitive growth, and virulence in a mouse model of intraperitoneal infection. Two dominant clones—ST369 (n = 98) and ST191 (n = 48)—belonging to international clone 2 (IC2) were recovered from patients admitted to intensive care units (ICUs) or wards. ST191 predominated (61%, 27/43) from June 2016 to July 2017, whereas ST369 (72%, 98/136), which was first isolated from a patient admitted to the emergency room, replaced ST191 (15%, 21/136) after August 2017. In a multivariate analysis, leukopenia (OR = 3.62, 95% CI 1.04–12.6, p = 0.04) and ST191 or 369 (OR = 5.32, 95% CI 1.25–22.65, p = 0.02) were independent risk factors for 7-day mortality. Compared with non-ST369, ST369 was associated with a shorter time to bacteremia from ICU admission (7 vs. 11 days, p = 0.01), pneumonia as an origin of bacteremia (67 vs. 52%, p = 0.04), leukopenia (28 vs. 11%, p < 0.01), and a lower 7-day survival rate (41 vs. 70%, p < 0.01). In vitro, ST 369 isolates had significantly higher growth rates and enhanced competitive growth compared to ST191. Finally, ST369 had greater virulence and a higher mortality rate than other STs in a mouse infection model. We report almost-complete replacement of the predominant ST191 clone by ST369 within an 8-month period at our hospital. ST369 had a high incidence density rate of CRAB bacteremia, a short time to bacteremia after ICU admission, and a high early mortality rate, which may be in part explained by its faster competitive growth rate and higher virulence than ST191.

Bacteremia Is a Risk Factor for Cerebrospinal Fluid Infection in Patients with Cerebrospinal Fluid Drains—A Retrospective Study

There is little evidence on the role of prior infection in patients with external ventricular drains (EVDs) and lumbar drains (LDs). In this study, our aim is to investigate whether previous bacteremia is a risk factor for cerebrospinal fluid drain infection (CSFDI) in patients with EVDs and LDs and to describe the microorganisms implicated. We designed a retrospective, single-center cohort study. We recorded patients’ demographic and clinical characteristics, as well as microbiology laboratory data. We used non-parametric statistical methods to identify possible risk factors for CSFDI. We found 799 neurosurgical admissions during the study period, 70 of which fulfilled the inclusion criteria. Acinetobacter baumannii was the most frequent single pathogen isolated in the cerebrospinal fluid (CSF). Acinetobacter baumannii bacteremia was more common in patients with Acinetobacter baumannii CSFDI (p = 0.01). The distribution of the pathogens in the CSF differed from that of the pathogens isolated in blood (p = 0.001). In the univariate analysis, prior bacteremia was more common in patients with CSFDI (p = 0.027), but, in the multivariate model, prior bacteremia was not identified as an independent risk factor (OR = 0.456, CI: 0.138–1.512, p = 0.2). In an ICU population, the most frequently isolated pathogens were Gram-negative Enterobacteriaceae and Acinetobacter baumannii. Previous bacteremia was significantly more probable among patients with EVDs or LDs who developed a CSFDI, and its role warrants further investigation.

Prediction of Bacteremia Based on 12-Year Medical Data Using a Machine Learning Approach: Effect of Medical Data by Extraction Time.

Early detection of bacteremia is important to prevent antibiotic abuse. Therefore, we aimed to develop a clinically applicable bacteremia prediction model using machine learning technology. Data from two tertiary medical centers’ electronic medical records during a 12-year-period were extracted. Multi-layer perceptron (MLP), random forest, and gradient boosting algorithms were applied for machine learning analysis. Clinical data within 12 and 24 hours of blood culture were analyzed and compared. Out of 622,771 blood cultures, 38,752 episodes of bacteremia were identified. In MLP with 128 hidden layer nodes, the area under the receiver operating characteristic curve (AUROC) of the prediction performance in 12- and 24-h data models was 0.762 (95% confidence interval (CI); 0.7617–0.7623) and 0.753 (95% CI; 0.7520–0.7529), respectively. AUROC of causative-pathogen subgroup analysis predictive value for Acinetobacter baumannii bacteremia was the highest at 0.839 (95% CI; 0.8388–0.8394). Compared to primary bacteremia, AUROC of sepsis caused by pneumonia was highest. Predictive performance of bacteremia was superior in younger age groups. Bacteremia prediction using machine learning technology appeared possible for acute infectious diseases. This model was more suitable especially to pneumonia caused by Acinetobacter baumannii. From the 24-h blood culture data, bacteremia was predictable by substituting only the continuously variable values.

The Bad Bug is Back: Acinetobacter Baumannii Bacteremia Outbreak during the COVID-19 Pandemic in an Intensive Care Unit.

Epidemiology of nosocomial infections may show variability because of under-estimation of infection control measures (ICMs) in coronavirus disease 19 (COVID-19) outbreak. To investigate the Acinetobacter bacteremia outbreak developed in an intensive care unit (ICU) between March 20 to May 15, 2020, examine the risk factors, and re-evaluate ICM retrospectively. A retrospective cohort analysis was conducted to determine the risk factors, pulsed field gel electrophoresis (PFGE) was performed for analysis of the outbreak, ICM practices were observed by a team, and infection control interventions were undertaken. Acinetobacter bacteremia developed in 17 patients (21.5%) within 79 COVID-19 patients included in the study. The mean age of the bacteremic patients was 67.3 (SD = 14.82) years, and 82.4% of them were male; of these, 15 died, leading to 88.2% mortality. The bacteremia rate was higher compared with a 14-month period preceding the COVID-19 pandemic (17/79 versus 12/580 patients, respectively). PFGE revealed that the outbreak was polyclonal. On multi-variate analysis, the bacteremia development rate was 13.7 and 5.06 times higher with central venous catheter (CVC) use and in patients with chronic obstructive pulmonary disease (COPD), respectively. The mortality rate was higher in bacteremic patients (p = 0.0016). It was observed that ICMs were not followed completely, especially change of gloves and hand hygiene. Contamination of A. baumannii was observed in 38% of the gloves. COPD and CVC use were determined as risk factors for Acinetobacter bacteremia development, and failures in ICM may have led to cross-contamination of endemic A. baumannii. The outbreak could be controlled within 3 weeks of interventions.