Literature DB >> 24396634

Risk Factors for Mortality in Patients with Acinetobacter baumannii Bacteremia.

Se Yoon Park1, Jin Woo Choo1, Soon Ha Kwon1, Shi Nae Yu1, Eun Jung Lee1, Tae Hyong Kim1, Eun Ju Choo1, Min Huok Jeon1.   

Abstract

BACKGROUND: Acinetobacter baumannii, an opportunistic nosocomial pathogen that can cause significant morbidity and mortality, has emerged as a worldwide problem. The aim of this study was to evaluate the risk factors for mortality in patients with A. baumannii bacteremia.
MATERIALS AND METHODS: We retrospectively evaluated 118 patients who had A. baumannii bacteremia between July 2003 and December 2011. The aim of this study was to identify the 30-day mortality in patients with A. baumannii bacteremia and relevant risk factors.
RESULTS: The bacteremia-related 30-day mortality rate was 34.1%. Univariate analysis revealed that the risk factors for mortality included malignancy, longer hospital stay before bacteremia, intensive care unit (ICU) stay at the time of bacteremia, mechanical ventilation, use of a central venous catheter, unknown origin of bacteremia, bacteremia due to pneumonia, antimicrobial resistance to carbapenems, and elevated Acute Physiology and Chronic Health Evaluation II and Pitt bacteremia scores. Multivariate logistic regression analysis revealed that resistance to carbapenems (odds ratio [OR]: 4.01, 95% confidence interval [CI]: 1.51 to 0.68, P = 0.005), need for mechanical ventilation (OR: 3.97, 95% CI: 1.41 to 11.13, P = 0.005), and presence of malignancy (OR: 4.40, 95% CI: 1.60 to 12.08, P = 0.004) were significantly related to mortality risk.
CONCLUSIONS: Risk factors such as resistance to carbapenems, mechanical ventilation, and presence of malignancy were found to be associated with high mortality rates in the patients with A. baumannii bacteremia.

Entities:  

Keywords:  Acinetobacter baumannii; Bacteremia; Mortality

Year:  2013        PMID: 24396634      PMCID: PMC3848511          DOI: 10.3947/ic.2013.45.3.325

Source DB:  PubMed          Journal:  Infect Chemother        ISSN: 1598-8112


Introduction

Acinetobacter species are nonfermenting aerobic gram-negative bacteria that have become important nosocomial pathogens. According to Korean Nosocomial Infections Surveillance System (KONIS) data, Acinetobacter baumannii accounts for 32% (450/1,405) of nosocomial gram-negative bacilli infections, and the pathogen is particularly common in intensive care unit (ICU) cases [1]. Previously, this organism was considered to have low virulence, generally more capable of colonizing than infecting. However, it has emerged as an invasive and life-threatening pathogen, especially in critically ill patients [2-5]. A. baumannii infection is now a common worldwide problem that can lead to increased morbidity and prolonged hospital stays. Carbapenems are usually the antimicrobial agents of choice for the treatment of serious A. baumannii infection. However, carbapenem-resistant A. baumannii (CRAB) isolates have been reported with increasing frequency worldwide in recent years. KONIS data show that imipenem-resistant strains of A. baumannii infection represented 86.9% of infections with the pathogen during 2010 and 2011 in university hospitals throughout the Republic of Korea (ROK) [1]. Generally, patients with CRAB infection have higher mortality rates, longer duration of hospitalization, and higher healthcare costs than those infected with carbapenem-susceptible A. baumannii (CSAB) [6-9]. Despite the increasing prevalence of A. baumannii bacteremia and the degree to which it has become a clinically significant concern, there are limited data on A. baumannii bacteremia in the ROK. Therefore, the aim of this study was to evaluate the clinical features and outcomes of patients with A. baumannii bacteremia in the ROK to help identify risk factors for A. baumannii infection-related mortality.

Materials and Methods

1. Study population

We performed an observational retrospective study. We reviewed the medical records, including clinical, microbiological, and laboratory data, and analyzed the outcomes and characteristics of all patients with A. baumannii bacteremia at a 750-bed tertiary medical center in the ROK (between July 2003 and December 2011). The demographic characteristics, clinical care information, microbiological data, treatments provided, and outcomes of 118 patients with 123 episodes of clinically significant A. baumannii bacteremia were reviewed. The following data were collected: age, sex, underlying diseases, duration of hospital stay before bacteremia, ICU stay at the time of bacteremia, invasive procedures, antimicrobial susceptibility of A. baumannii, severity of illness (as determined by Acute Physiology and Chronic Health Evaluation II [APACHE II] and Pitt scores) at the time of bacteremia, and the initial empirical antibiotic agents administered.

2. Identification and antimicrobial susceptibility testing

Blood specimens were cultured using the BACTEC blood culture system (Becton Dickinson, Sparks, MD, USA). Identification and antimicrobial susceptibility tests for Acinetobacter were performed with the Microscan Walk Away-96 plus system (Siemens, Deerfield, IL, USA). The susceptibility results were interpreted according to the guidelines of the Clinical and Laboratory Standards Institute [10]. Isolates with intermediate susceptibility or resistance to the antibiotics were considered to be resistant.

3. Definitions

Significant bacteremia was defined as the isolation of A. baumannii from one or more blood culture specimens, and the presence of clinical features consistent with infection (e.g., fever or leukocytosis). If more than 14 days had passed without a positive blood culture result, the subsequent isolation of A. baumannii from blood was deemed to be a separate episode. Nosocomial bacteremia was defined as the isolation of one or more A. baumannii isolates from blood cultures after 48 hours of admission [11]. CRAB was defined as in vitro resistance to imipenem and/or meropenem. Appropriate antibiotic therapy was defined as the use of drugs with in vitro activity at therapeutic dosages (as determined using the results of sensitivity tests within 3 days of the bacteremic episode) that were delivered by an approved route and for an approved duration. When antimicrobial therapy did not meet these conditions, it was considered to be inappropriate.

4. Statistical analysis

Continuous variables are expressed as mean (SD) and were compared using the Student's t-test or Mann-Whitney U-test. Categorical variables were compared with the Chi-square test or Fisher's exact test when the expected values were below 5. Predictors for 30-day mortality were identified using logistic regression. All clinical and laboratory parameters were a priori tested. Parameters with P < 0.1 and those with potentially important biological meaning were analyzed in a multivariate logistic regression model. All P-values were 2-tailed, and P < 0.05 was considered to be statistically significant. SPSS for Windows (Version 14.0, SPSS Inc., Chicago, IL, USA) was used for these analyses.

Results

1. Demographic and clinical characteristics

A total of 123 episodes in 118 patients with significant bacteremia between July 2003 and December 2011 were identified in this study. All the 123 cases were reviewed;114 (92.7%) were cases of nosocomial infection. The mean age for all the patients was 62.54 (15.80) years, and 53% (63/118) patients were male. Of the 118 patients, 86.2% had underlying comorbidities. The most common underlying disease was malignancy, which was present in 35.8% (44/123) of the patients. Central venous catheterization was the most common invasive procedure (49.6%; 61/123) performed during hospitalization. The proportion of patients who were confined in the ICU at the time of identifying their bacteremia was 49.6%, and the mean duration of hospital stay before bacteremia was 38.02 (62.46) days. Twenty-eight bacteremia cases (22.8%) were of unknown origin. CRAB bacteremia accounted for 42.3% of the cases. Only 42 of the 123 patients received appropriate antibiotic therapy. The disease-related characteristics of the patients with A. baumannii bacteremia are shown in Table 1.
Table 1

Comparisons of the demographic and clinical characteristics according to survival state at 30 days in patients with Acinetobacter baumannii bacteremia

COPD, chronic obstructive pulmonary disease; ESRD, end stage renal disease; ICU, intensive care unit; PCD, percutaneous catheter drainage; CRAB, carbapenem-resistant A. baumannii; APACHE, acute physiology and chronic health evaluation.

2. Clinical outcomes and risk factors for mortality

The mortality rate 30 days after the onset of A. baumannii bacteremia was 34.1%. The results of the univariate analysis of bacteremia-related 30-day mortality in the patients with A. baumannii bacteremia are shown in Table 1. The multivariate analysis showed that the independent risk factors for bacteremia-related 30-day mortality were carbapenem resistance (odds ratio [OR]: 4.01, 95% confidence interval [CI]: 1.51 to 10.68, P = 0.005), mechanical ventilation (OR: 3.97, 95% CI: 1.41 to 11.13, P = 0.009), and presence of malignancy (OR: 4.22, 95% CI: 1.60 to 12.08, P = 0.004; Table 2).
Table 2

Multivariate logistic regression analysis for predictors of mortality

CRAB, carbapenem-resistant A. baumannii; OR, odds ratio; CI, confidence interval.

Discussion

A. baumannii has become a problematic nosocomial pathogen, partly due to clonal spread, particularly in ICUs [2, 4-7]. In this study, only 9 cases (7.3%) were community acquired while 114 were nosocomial, of which 49.6% occurred in the ICU. A. baumannii is the most common nosocomial pathogen among gram-negative bacilli and is characterized by marked antimicrobial resistance in the ROK. According to the KONIS data, A. baumannii represented 17.7% (95/537) of clinical specimens from patients with nosocomial gram-negative bacilli infections in 2006. The percentage of such infections caused by A. baumannii increased over the subsequent 5 years to 27.1% (389/1435) in 2010-2011. The percentage of imipenem-resistant A. Baumannii isolates has increased dramatically from 43.6% (41/94) in 2006 to 84.8% (313/369) in 2010-2011 [1]. A. baumannii can cause outbreaks of nosocomial infections such as bloodstream infection, ventilator-associated pneumonia, urinary tract infection, and wound infection [12]. The sources of bacteremia have been found to be, in decreasing order of frequency, the respiratory tract, vascular catheters, the intra-abdominal region, the urinary tract, soft tissues, and wounds [8, 13, 14]. Pneumonia and vascular access infections were the most common sources of bacteremia in this study, together accounting for nearly 50% of the cases; this result is similar to the results of previous studies [8, 14]. When pneumonia was the source of bacteremia, 64.2% (18/28) of the cases occurred in the ICU. In comparison, when vascular catheter-related infections were the source of bacteremia, 63.6% (7/11) of the patients were infected in the community or a general ward. This difference was not statistically significant. A. baumannii bacteremia is associated with a high mortality rate, ranging from 29% to 46.9% [2, 13-15]. A diverse spectrum of comorbidities has been investigated as potential risk factors for mortality in these patients, such as previous severity of organ failure, neutropenia, elevated APACHE II score, malignancy, inappropriate antimicrobial treatment, pneumonia as the source of bacteremia, and septic shock [10, 13-16]. Our research showed that the major portal of entry was respiratory infection, and higher 30-day mortality rates were recorded in the patients with nosocomial pneumonia (28.4% vs 57.1%). Although no association between route of infection and mortality was observed in the multivariate analysis, our results showed a significantly higher mortality rate in those who received mechanical ventilation and those with underlying malignancy. The most serious issue in the treatment of A. baumannii infection is multidrug resistance (MDR) because the number of appropriately active agents is limited. Several studies have reported that antibiotic resistance has an adverse impact on mortality rate, duration of hospitalization, and healthcare costs in patients with A. baumannii bacteremia. One matched-control study showed that mortality rate increased from 13% to 34% in A. baumannii bacteremia when the pathogen possessed MDR and that duration of hospitalization and healthcare costs were additionally increased [12]. Moreover, according to a multicenter study conducted in Taiwan, the acquisition of carbapenem resistance led to higher mortality rates and increased durations of hospital stay [9]. In contrast, however, one study has reported that mortality did not differ between patients with CRAB and CSAB bacteremia. However, in that study, patients with CRAB bacteremia had less severe illness on admission than those with CSAB [15]. Our results showed that carbapenem resistance was present in 42.3% (52/123) of cases, and resistance was identified as a significant independent risk factor for mortality in the multivariate analysis. Some limitations were inherent in the present study. Although cases were consecutively enrolled according to an accurate laboratory database minimizing selection bias, clinical information regarding risk factors was collected retrospectively. Therefore, our results can not be generalized to other populations of patients. However, the study was strengthened by the inclusion of a large number of patients with a range of comorbidities and by its well-defined 30-day mortality end point. In conclusion, A. baumannii bacteremia mostly develops as a nosocomial infection and is associated with a high mortality rate. Underlying malignancy, the need for mechanical ventilation, and infection with carbapenem-resistant strains were risk factors associated with a higher mortality rate in the patients with A. baumannii bacteremia.
  14 in total

1.  A multicenter study of risk factors and outcome of hospitalized patients with infections due to carbapenem-resistant Acinetobacter baumannii.

Authors:  Wang-Huei Sheng; Chun-Hsing Liao; Tsai-Ling Lauderdale; Wen-Chien Ko; Yao-Shen Chen; Jien-Wei Liu; Yeu-Jun Lau; Li-Hsin Wang; Ke-Sun Liu; Tung-Yuan Tsai; San-Yi Lin; Meng-Shiuan Hsu; Le-Yin Hsu; Shan-Chwen Chang
Journal:  Int J Infect Dis       Date:  2010-06-19       Impact factor: 3.623

2.  Mortality risk factors of Acinetobacter baumannii bacteraemia.

Authors:  J Y Choi; Y S Park; C O Kim; Y S Park; H J Yoon; S Y Shin; Y-A Kim; Y G Song; D Yong; K Lee; J M Kim
Journal:  Intern Med J       Date:  2005-10       Impact factor: 2.048

3.  Bacteremia due to Acinetobacter baumannii: epidemiology, clinical findings, and prognostic features.

Authors:  J M Cisneros; M J Reyes; J Pachón; B Becerril; F J Caballero; J L García-Garmendía; C Ortiz; A R Cobacho
Journal:  Clin Infect Dis       Date:  1996-06       Impact factor: 9.079

4.  Carbapenem-resistant versus carbapenem-susceptible Acinetobacter baumannii bacteremia in a Greek intensive care unit: risk factors, clinical features and outcomes.

Authors:  C Routsi; M Pratikaki; E Platsouka; C Sotiropoulou; S Nanas; V Markaki; C Vrettou; O Paniara; H Giamarellou; C Roussos
Journal:  Infection       Date:  2010-03-12       Impact factor: 3.553

5.  CDC definitions for nosocomial infections, 1988.

Authors:  J S Garner; W R Jarvis; T G Emori; T C Horan; J M Hughes
Journal:  Am J Infect Control       Date:  1988-06       Impact factor: 2.918

6.  Impact of appropriate antimicrobial therapy on mortality associated with Acinetobacter baumannii bacteremia: relation to severity of infection.

Authors:  Yi-Tzu Lee; Shu-Chen Kuo; Su-Pen Yang; Yi-Tsung Lin; Fan-Chen Tseng; Te-Li Chen; Chang-Phone Fung
Journal:  Clin Infect Dis       Date:  2012-04-11       Impact factor: 9.079

7.  Nosocomial bacteremia involving Acinetobacter baumannii in critically ill patients: a matched cohort study.

Authors:  Stijn Blot; Koenraad Vandewoude; Francis Colardyn
Journal:  Intensive Care Med       Date:  2003-02-08       Impact factor: 17.440

Review 8.  Nosocomial bacteremia due to Acinetobacter baumannii: epidemiology, clinical features and treatment.

Authors:  J M Cisneros; J Rodríguez-Baño
Journal:  Clin Microbiol Infect       Date:  2002-11       Impact factor: 8.067

9.  Clinical and economic impact of multidrug resistance in nosocomial Acinetobacter baumannii bacteremia.

Authors:  Nan-Yao Lee; Hsin-Chun Lee; Nai-Ying Ko; Chia-Ming Chang; Hsin-I Shih; Chi-Jung Wu; Wen-Chien Ko
Journal:  Infect Control Hosp Epidemiol       Date:  2007-05-14       Impact factor: 3.254

10.  Risk factors for occurrence and 30-day mortality for carbapenem-resistant Acinetobacter baumannii bacteremia in an intensive care unit.

Authors:  Song Yee Kim; Ji Ye Jung; Young Ae Kang; Joo Eun Lim; Eun Young Kim; Sang Kook Lee; Seon Cheol Park; Kyung Soo Chung; Byung Hoon Park; Young Sam Kim; Se Kyu Kim; Joon Chang; Moo Suk Park
Journal:  J Korean Med Sci       Date:  2012-07-25       Impact factor: 2.153

View more
  17 in total

1.  Morbidity and mortality risk factors in emergency department patients with Acinetobacter baumannii bacteremia.

Authors:  Rui-Xue Sun; Priscilla Song; Joseph Walline; He Wang; Ying-Chun Xu; Hua-Dong Zhu; Xue-Zhong Yu; Jun Xu
Journal:  World J Emerg Med       Date:  2020

2.  Combination Therapy for Extreme Drug-Resistant Acinetobacter baumannii: Ready for Prime Time?

Authors:  Brad Spellberg; Robert A Bonomo
Journal:  Crit Care Med       Date:  2015-06       Impact factor: 7.598

Review 3.  Antimicrobial resistance in Acinetobacter baumannii: From bench to bedside.

Authors:  Ming-Feng Lin; Chung-Yu Lan
Journal:  World J Clin Cases       Date:  2014-12-16       Impact factor: 1.337

4.  Treatment, Clinical Outcomes, and Predictors of Mortality among a National Cohort of Admitted Patients with Acinetobacter baumannii Infection.

Authors:  Haley J Appaneal; Vrishali V Lopes; Kerry L LaPlante; Aisling R Caffrey
Journal:  Antimicrob Agents Chemother       Date:  2022-01-10       Impact factor: 5.938

Review 5.  Code blue: Acinetobacter baumannii, a nosocomial pathogen with a role in the oral cavity.

Authors:  A M Richards; Y Abu Kwaik; R J Lamont
Journal:  Mol Oral Microbiol       Date:  2014-09-27       Impact factor: 3.563

6.  Diabetes Exacerbates Infection via Hyperinflammation by Signaling through TLR4 and RAGE.

Authors:  Travis B Nielsen; Paul Pantapalangkoor; Jun Yan; Brian M Luna; Ken Dekitani; Kevin Bruhn; Brandon Tan; Justin Junus; Robert A Bonomo; Ann Marie Schmidt; Michael Everson; Frederick Duncanson; Terence M Doherty; Lin Lin; Brad Spellberg
Journal:  mBio       Date:  2017-08-22       Impact factor: 7.867

7.  Acinetobacter baumannii strains isolated from patients in intensive care units in Goiânia, Brazil: Molecular and drug susceptibility profiles.

Authors:  Suellen Rocha Araújo Castilho; Cássia Silva de Miranda Godoy; Adriana Oliveira Guilarde; Juliana Lamaro Cardoso; Maria Cláudia Porfirio André; Ana Paula Junqueira-Kipnis; André Kipnis
Journal:  PLoS One       Date:  2017-05-05       Impact factor: 3.240

8.  Risk factors for mortality in ICU patients with Acinetobacter baumannii ventilator-associated pneumonia: impact of bacterial cytotoxicity.

Authors:  Mohan Ju; Dongni Hou; Shu Chen; Ying Wang; Xinjun Tang; Jie Liu; Cuicui Chen; Yuanlin Song; Huayin Li
Journal:  J Thorac Dis       Date:  2018-05       Impact factor: 2.895

Review 9.  Insights on the Horizontal Gene Transfer of Carbapenemase Determinants in the Opportunistic Pathogen Acinetobacter baumannii.

Authors:  Gabriela Jorge Da Silva; Sara Domingues
Journal:  Microorganisms       Date:  2016-08-23

10.  Risk Factors and Clinical Outcomes for Patients With Acinetobacter baumannii Bacteremia.

Authors:  Zhenyang Gu; Yuliang Han; Taojiang Meng; Shasha Zhao; Xiaoli Zhao; Chunji Gao; Wenrong Huang
Journal:  Medicine (Baltimore)       Date:  2016-03       Impact factor: 1.889

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.