Skip to main content
BMC Infectious Diseases logoLink to BMC Infectious Diseases
. 2018 Jan 5;18:11. doi: 10.1186/s12879-017-2932-5

A multi-center study on the risk factors of infection caused by multi-drug resistant Acinetobacter baumannii

Huiping Huang 1,#, Borong Chen 2,#, Gang Liu 2,#, Jing Ran 3, Xianyu Lian 1, Xinhua Huang 4, Nan Wang 5, Zhengjie Huang 2,
PMCID: PMC5756379  PMID: 29304746

Abstract

Background

Acinetobacter baumannii (AB) is critical for healthcare-associated infections (HAI) with significant regional differences in the resistance rate, but its risk factors and infection trends has not been well studied. We aimed to explore the risk factors, epidemiological characteristics and resistance of multidrug-resistant Acinetobacter baumannii (MDR-AB) in intensive care unit inpatients.

Methods

Data of patients with MDR-AB (195 cases), and with antibiotic-sensitive AB infection (294 cases, control) during January to December, 2015 in three medical centers in Xiamen, China were conducted and analyzed in the present retrospective study.

Results

Lower respiratory tract infection with AB accounted for 68.71%. MDR-AB was detected in 39.88% of all cases. Univariate analysis suggested that mechanical ventilation, indwelling catheter, cancer patients, length of hospitalization in intensive care unit (ICU) ≥15 d, Acute Physiology and Chronic Health Evaluation (APACHE) II score, combined using antibiotic before isolation of AB and use of third-lines cephalosporins were associated with the development of MDR-AB healthcare-associated infections. Dose-response relationship analysis suggested that the age and the days of mechanical ventilation were associated with increased infection with MDR-AB. Logistic regression analysis suggested that, mechanical ventilation, combined using antibiotic before isolation of AB, and indwelling catheter, were associated with MDR-AB infection, with odds ratios (OR) and 95% confidence intervals (CI) of 3.93 (1.52–10.14), 4.11 (1.58–10.73), and 4.15 (1.32–12.99), respectively.

Conclusions

MDR-AB infection was associated with mechanical ventilation, combined using antibiotic before isolation of AB, and indwelling catheter. Furthermore, the age and the days of mechanical ventilation were associated with increased infection with MDR-AB.

Keywords: Intensive care unit, Multi-drug resistant, Acinetobacter baummanii, Risk factors

Background

Acinetobacter baumannii (AB) is a Gram-negative, lactose non-fermenting organism and its ability to survive in hospital environments, which is increasingly becoming a major healthcare-associated infections (HAI) pathogen worldwide. With the emergence of HAI, AB is an important cause in critically ill patients. AB is now largely regarded as one of the most troublesome pathogens and is responsible for several types of HAI including skin and soft tissue infections and invasive infections, such as pneumonia, osteomyelitis, and bacteremia [1].

Reports about multi-drug resistance Acinetobacter baumannii (MDR-AB) has been constantly increased, especially in the intensive care units (ICU) [24]. MDR-AB-caused infections are difficult to diagnose and treat, leading to increased mortality and prolonged hospital stays [5]. A recent study demonstrated that the 30-day hospital mortality rate of bloodstream infections caused by MDR-AB was 55.2% in geriatric inpatients [1].

Carbapenem resistant rate increases every year. It was showed that some hospital ICU emerged carbapenem resistant (CR) AB. Resistance of AB isolates to imipenem dramatically increased from16% in 2003–2007 to 78% in 2008–2010 in a single tertiary hospital in South Korea [6, 7]. Cross-transmission of MDR-AB was common in the hospital, resulting in ICU and neonatal ward infection outbreaks and epidemics, and was correlated with an adverse outcome, including an independent predictor of death and complications [811].

A large amount of data is available regarding the epidemiology, risk factors, and outcomes of patients with AB. However, besides the rapid growth worldwide, there are significant regional differences in the resistance rate of AB. Information is limited regarding the risk factors for MDR-AB in ICU inpatients in developing countries.

Therefore, we designed the present retrospective study to investigate the risk factors and infection trends caused by MDR-AB in ICU inpatients. Patients in three university affiliated hospitals with more than 800 beds in Xiamen, China, were evaluated. The clinical characteristics as well as the trends of MDR-AB with the dose-response relationship were analyzed. Our study is beneficial for understanding clinical significance and risk factors of MDR-AB, and for providing support for future management in ICU clinical practice.

Methods

Setting

Three ICU of tertiary general hospitals in Xiamen, including the First Affiliated Hospital of Xiamen University, the No. 2 Hospital of Xiamen, and 174th Hospital of the Chinese People’s Liberation Army (the Affiliated Chenggong Hospital of Xiamen University), of which the microbial identification results are homogeneous and are regulatory accepted by each other, were selected by using stratified sampling method. Four hundred eighty-nine patients who were hospitalized during the period of January 1st to December 31st, 2015 patients with AB infection were included as participants in the present study. Repeated strains isolated from the same patient in the same part of the specimen were excluded.

The quality control methods of sputum samples: Under laboratory microscope, if the squamous epithelial cells in the low fold field of vision <10 and the white blood cells >25 are qualified samples.

Diagnostic criteria: The designation of MDR was defined as the absence of susceptibility to >3 of the following antimicrobials or groups of antimicrobials: ampicillin/sulbactam, aztreonam, ceftazidime, ciprofloxacin, gentamicin, imipenem, piperacillin, trimethoprim/sulfamethoxazole, carbapenems, and amikacin [12, 13].Bacterial isolation and antimicrobial susceptibility testing were performed in accordance with the methodology of the Clinical and Laboratory Standards Institute [14]. HAI was confirmed according to the surveillance definition of the Centers for Disease Control and Prevention/National Healthcare Safety [15].

Investigation methods

The cases were reviewed in the microbiology and inspection laboratory database by searching for at least 2 positive cultures. Through a retrospective survey, the medical records of the cases were obtained from the medical record archives. The demographics, information, regarding clinical care, microbiologic data, treatments provided, and outcomes of the patients with clinically significant AB were reviewed.

Main contents of questionnaire including the name, gender, age, APACHE II score, comorbidities, ICU days, infection site, HAI, hospitalization days before infection, operation, invasive operation, antibiotic use, and drug sensitivity were collected. The data were analyzed after double-entry.

Definitions of main risk factors

1) Comorbidities refer to hypertension, coronary heart disease, diabetes, cancer, chronic renal insufficiency, cerebral infarction, etc. 2) ICU days refers to patients with ICU admission until test positive for the first time. 3) The combination of antimicrobial agents is the use of 2 or more than 2 kinds of antibacterial drugs. 4) Invasive operation refers to tracheotomy, nasal feeding, indwelling catheter, arteriovenous catheter, abdominal puncture, ventilator etc.

Statistical analysis

All of the statistical analyses were performed using SPSS 13.0 (SPSS Inc., Chicago, IL, USA). Categorical variables were analyzed using the Χ2 test or Fisher’s exact test, and continuous variables were analyzed using Student’s t test or Mann-Whitney U test, and were generally presented as means and standard deviation. Multivariate logistic regression analyses using the forward likelihood ratio selection method were used. To identify independent factors of MDR-AB and is presented with an odds ratio (95% confidence intervals, CI). Potential candidate variables were those with P < 0.05 in univariate analyses. All of the P values were 2 tailed, and P < 0.05 was considered statistically significant.

Results

Clinical characteristics

A total of 489 patients aged from 38 days to 101 years with AB isolations during January to December 2015 were identified in this study. The mean age of the patients was 56.54 ± 27.18 years. The male to female ratio was 3.9:1(Male 390, female 99). Two hundred twenty-one of the cases were healthcare-associated infections, accounting for 45.20%.

MDR-AB was identified in up to 195 cases (39.88%), male 165 and female 30. Two hundred ninety-four cases were Non-MDR-AB, male 225 and female 69. The gender was significantly associated with the infection caused by MDR-AB (Χ2 = 4.74, P = 0.03).

The average age of the patients (64.93 ± 21.13) was significantly higher than that (50.98 ± 29.28) in the control group (t = 5.74, P < 0.001).

The positive AB isolations were common in the respiratory tract (72.31% versus 66.33%, respectively). There was no significant difference between the two groups (Table 1).

Table 1.

Source of Acinetobacter baummanii from clinical specimens

Group Sputum Whole blood Drainage fluid Central venous catheter tip Others
N% N% N% N% N%
MDR-AB 141 (72.3) 9 (4.6) 21 (10.8) 10 (5.1) 14 (7.2)
Non-MDR-AB 195 (66.3) 23 (7.8) 29 (9.9) 12 (4.1) 35 (11.9)
Total 336 (68.7) 32 (6.5) 50 (10.2) 22 (4.5) 49 (10.0)

Χ2 = 5.45, P = 0.24

Univariate analysis for risk factors of MDR-AB

The Χ2 analysis results show, HAI, mechanical ventilation, indwelling catheters, ICU days, APACHE II score, combined use of antimicrobial agents prior to infection and the use of third-generation cephalosporins, hospitalization ≥3 times, history of cancer are associated with MDR-AB infection. And the operation history, comorbidities and other factors are no significant correlated with MDR-AB infection (Table 2).

Table 2.

The results of one-way Chi-square test about exposure factors in MDR-AB infection patients

Characteristics Acinetobacter baumannii bacteremia N (%) P
MDR-AB (N = 195) Non-MDRAB (N = 294)
Sex Male 165 (84.6) 225 (76.5) 0.03
Female 30 (15.4) 69 (23.5)
Age (y) < 50 10 (5.13) 58 (19.7)
50–60 22 (11.3) 131 (44.6) < 0.001
60–70 98 (50.3) 62 (21.1)
70–80 46 (23.6) 34 (11.6)
> 80 19 (9.74) 9 (3.06)
Recent history of surgery Yes 54 (27.7) 75 (25.5) 0.59
No 141 (72.3) 219 (74.5)
Comorbidities < 2 165 (84.6) 246 (83.7) 0.78
≥2 30 (15.4) 48 (16.3)
HAI Yes 117 (60.0) 104 (35.4) < 0.001
No 78 (40.0) 190 (64.6)
ICU days < 15d 24 (12.3) 78 (26.5) < 0.001
≥15d 171 (87.7) 216 (73.5)
Mechanical ventilation Yes 177 (90.8) 210 (71.4) < 0.001
No 18 (9.2) 84 (28.6)
Indwelling catheters Yes 183 (93.8) 234 (79.6) < 0.001
No 12 (6.2) 60 (20.4)
Combined use of antimicrobial agents prior to infection Yes 174 (89.2) 246 (83.7) < 0.001
No 21 (10.8) 48 (16.3)
Use of third-generation cephaloglycin Yes 186 (95.4) 246 (83.7) < 0.001
No 9 (4.6) 48 (16.3)
Hospitalization times < 3 33 (16.9) 97 (33.0) < 0.001
≥3 162 (83.1) 197 (67.0)
History of cancer Yes 121 (62.1) 148 (50.3) 0.01
No 74 (37.9) 146 (49.7)
APACHE II score < 18 117 (60.0) 228 (77.6) < 0.001
≥18 78 (40.0) 66 (22.4)

Multivariate regression analysis results

An unconditional logistic multiple regression analysis was performed on 9 variables with significant differences in single factor analysis. Finally logistic multiple regression analysis revealed that the mechanical ventilation, combined use of antibacterial drugs before infection, and indwelling catheter were independent risk factors associated with the MDR-AB infection, respectively (Table 3).

Table 3.

The results of unconditional logistic multiple regression analysis about the risk factors of MDR-AB infection

Risk factors B (k) SE (B) Χ2 P OR 95% CI
Mechanical ventilation 1.37 0.48 8.03 < 0.001 3.93 1.53–10.14
Combined use of Antimicrobial agents 1.41 0.49 8.35 < 0.001 4.11 1.58–10.73
Indwelling catheter 1.42 0.58 5.97 0.02 4.15 1.33–13.00

Dose-response relationship

The trend Χ2 analysis showed that there was a dose-response relationship between the age, the days of mechanical ventilation, and MDR-AB infections, respectively. The age and the days of mechanical ventilation are both positively associated with the MDR-AB infections (Table 4).

Table 4.

The results of tendency chi-square test about the relation of MDR-AB infection with the age and the days of mechanical ventilation

Exposure factors Observed cases Cases of MDR-AB Infection rate (%) OR Χ2 P
Age (years)
 0 13 2 15.38 1.00 58.62 < 0.001
 20 69 16 23.19 1.36
 40 127 37 29.13 1.41
 60 184 72 39.13 1.64
 80 96 68 70.83 3.43
Mechanical ventilation (days)
 0 102 18 17.65 1.00 43.36 < 0.001
 10 247 94 38.06 2.87
 20 140 83 59.29 6.80

Discussion

MDR-AB infection could significantly prolong the hospital stay, increase mortality, and increase economic costs [8, 11]. The present study was a retrospective, observational, multi-center study. Multiple regression analysis was employed to minimize the confounding bias. We showed that the incidence of MDR-AB was 39.88% in ICU inpatients, and was less than 56.3%, while more than 50% of the positive AB specimens were from sputum and lower respiratory tract infection was predominant. Our results were in concert with the studies reported by Zorgan, Dejsirilert, Custovic, etc. [2, 1619]. In addition, we analyzed the relationship between the use of antibacterial agents and MDR-AB infection. It is found that combined use of antibiotics before the infection is an important factor affecting the incidence of MDR-AB.

Studies had shown that tumor history, high APACHE II score and indwelling catheter were risk factors with the infection of resistant bacteria [9, 20, 21]. By using univariate analysis, we also found that the risk of MDR-AB infection in the patients with hospitalization ≥3 times was 2.42 fold of that in patients with hospitalization <3 times.

In our study, a significant association between MDR-AB infection and mechanical ventilation, combined use of antimicrobial agents, indwelling catheters were noted. There were independent risk factors for MDR-AB in ICU inpatients. Mechanical ventilation is often considered as an important factor in the MDR Acinetobacter pneumonia [4, 22, 23]. In the present study, mechanical ventilation was in 187 of 195 cases (accounting for 95.89%), whereas lower respiratory tract infections accounted for 72.31%, further confirmed mechanical ventilation as an important factor for MDR-AB infection.

The use of multiple types of antibiotics also increased MDR-AB infections (OR = 4.111), since we also found that combination with antibiotics before infection is an important risk factor. Studies have reported that, use of carbapenem antibiotics within 28 days of infection was significantly related with MDR bacterial infection [21, 23, 24]. Inappropriate drug combination leads to selective pressure, which increases the opportunity of AB infection and promotes the selection of drug-resistant bacteria. The β- lactam antimicrobial drugs could induce AB to produce β-lactamase, and hence inactivate antimicrobial drugs, resulting in resistance of AB to other β-lactam antibiotics [25]. Therefore, the principle of the combination must be strictly followed, and the frequent replacement of antibiotics should be avoided.

Indwelling catheter is also an independent risk factor for MDR-AB infection (OR = 4.149). Similar results were also reported previously [21, 22]. MDR-AB could spread through catheter and puncture point, and treatment device.

The trend Χ2 analysis showed that there was a significant dose-response relationship between age, days of mechanical ventilation, and MDR-AB infections. The risk of MDR-AB infections increased with higher age, and with longer time of mechanical ventilation.

Conclusions

In conclusion, MDR-AB infection was associated with mechanical ventilation, combined using antibiotic before isolation of AB, and indwelling catheter. Furthermore, the age and the days of mechanical ventilation were associated with increased infection with MDR-AB.

Acknowledgements

We would like to thank everyone who helped with this study.

Funding

This study was supported by grants from the Science and Technology Project of Natural Science Foundation of Fujian Province (No. 2016 J01639, 2016 J01640), the Medical Innovations Topic in Fujian Province (No. 2016-CXB-8, 2012-CXB-29) and Project of Xiamen Scientific and Technological Plan (No. 3502Z20134011). They have not influenced the study design, data collection and analysis, and preparation of the manuscript.

Availability of data and materials

Restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are, however, available from the authors upon reasonable request.

Abbreviations

AB

Acinetobacter baumannii

APACHE

Acute Physiology and Chronic Health Evaluation

CI

Confidence intervals

CR

Carbapenem resistant

HAI

Healthcare-associated infections

ICU

Intensive care unit

MDR-AB

Multidrug-resistant Acinetobacter baumannii

OR

Odds ratios

Authors’ contributions

ZJH and HPH conceptualized and designed the study. BRC, GL, JR, XYL, XHH and NW did data collection and input. ZJH and HPH checked and review data. BRC and GL performed the statistical analysis. HPH, BRC and GL drafted the manuscript. ZJH contributed to revise the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The Ethics Committee of the First Affiliated Hospital of Xiamen University, the Ethics Committee of the Second Hospital of Xiamen and the Ethics Committee of the Chenggong Hospital Affiliated to Xiamen University approved this study. The matched clinical information was collected and analyzed with each participant written informed consent. Meanwhile, for participants under the age of 16, the consent was obtained from a parent or guardian on behalf. All participants consented that the matched clinical information would be submitted for publication.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Huiping Huang, Email: 9737223@qq.com.

Borong Chen, Email: 642308500@qq.com.

Gang Liu, Email: liugang917@163.com.

Jing Ran, Email: 23172158@qq.com.

Xianyu Lian, Email: h74zj@126.com.

Xinhua Huang, Email: hxhzhk011@163.com.

Nan Wang, Email: xm174yygkk@163.com.

Zhengjie Huang, Phone: +86-592-2139280, Email: huangzhengjie@xmu.edu.cn.

References

  • 1.Fu Q, Ye H, Liu S. Risk factors for extensive drug-resistance and mortality in geriatric inpatients with bacteremia caused by Acinetobacter baumannii. Am J Infect Control. 2015;43(8):857–860. doi: 10.1016/j.ajic.2015.03.033. [DOI] [PubMed] [Google Scholar]
  • 2.Chaisathaphol T, Chayakulkeeree M. Epidemiology of infections caused by multidrug-resistant gram-negative bacteria in adult hospitalized patients at Siriraj Hospital. J Med Assoc Thail. 2014;97(Suppl 3):S35–S45. [PubMed] [Google Scholar]
  • 3.Behnia M, et al. Nosocomial and ventilator-associated pneumonia in a community hospital intensive care unit: a retrospective review and analysis. BMC Res Notes. 2014;7:232. doi: 10.1186/1756-0500-7-232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Medell M, et al. Nosocomial ventilator-associated pneumonia in Cuban intensive care units: bacterial species and antibiotic resistance. MEDICC Rev. 2013;15(2):26–29. doi: 10.37757/MR2013V15.N2.6. [DOI] [PubMed] [Google Scholar]
  • 5.Perez F, et al. Global challenge of multidrug-resistant Acinetobacter baumannii. Antimicrob Agents Chemother. 2007;51(10):3471–3484. doi: 10.1128/AAC.01464-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Werarak P, et al. Acinetobacter baumannii nosocomial pneumonia in tertiary care hospitals in Thailand. J Med Assoc Thail. 2012;95(Suppl 2):S23–S33. [PubMed] [Google Scholar]
  • 7.Gurung M, et al. Emergence and spread of carbapenem-resistant Acinetobacter baumannii sequence type 191 in a Korean hospital. Infect Genet Evol. 2013;19:219–222. doi: 10.1016/j.meegid.2013.07.016. [DOI] [PubMed] [Google Scholar]
  • 8.Garlantezec R, et al. Cost-analysis of an intensive care unit closure due to an imipenem-resistant oxa-23 Acinetobacter baumannii outbreak. J Hosp Infect. 2011;77(2):174–175. doi: 10.1016/j.jhin.2010.09.027. [DOI] [PubMed] [Google Scholar]
  • 9.Zarrilli R, et al. Clonal spread and patient risk factors for acquisition of extensively drug-resistant Acinetobacter baumannii in a neonatal intensive care unit in Italy. J Hosp Infect. 2012;82(4):260–265. doi: 10.1016/j.jhin.2012.08.018. [DOI] [PubMed] [Google Scholar]
  • 10.Agodi A, et al. Spread of a carbapenem- and colistin-resistant Acinetobacter baumannii ST2 clonal strain causing outbreaks in two Sicilian hospitals. J Hosp Infect. 2014;86(4):260–266. doi: 10.1016/j.jhin.2014.02.001. [DOI] [PubMed] [Google Scholar]
  • 11.Ayraud-Thevenot S, et al. Control of multi-drug-resistant Acinetobacter baumannii outbreaks in an intensive care unit: feasibility and economic impact of rapid unit closure. J Hosp Infect. 2012;82(4):290–292. doi: 10.1016/j.jhin.2012.08.016. [DOI] [PubMed] [Google Scholar]
  • 12.Zarrilli R, et al. Global evolution of multidrug-resistant Acinetobacter baumannii clonal lineages. Int J Antimicrob Agents. 2013;41(1):11–19. doi: 10.1016/j.ijantimicag.2012.09.008. [DOI] [PubMed] [Google Scholar]
  • 13.Taitt CR, et al. Antimicrobial resistance determinants in Acinetobacter baumannii isolates taken from military treatment facilities. Antimicrob Agents Chemother. 2014;58(2):767–781. doi: 10.1128/AAC.01897-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Institute, C.a.L.S Methods for dilution antimicrobial susceptiblity tests for bacteria that grow aerobically;approved standard-eighth edition. Clinical and Laboratory Standards Institute. 2008;29(2):11. [Google Scholar]
  • 15.Horan TC, Andrus M, Dudeck MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. 2008;36(5):309–332. doi: 10.1016/j.ajic.2008.03.002. [DOI] [PubMed] [Google Scholar]
  • 16.Zorgani A, et al. Prevalence of device-associated Nosocomial infections caused by gram-negative bacteria in a trauma intensive care unit in Libya. Oman Med J. 2015;30(4):270–275. doi: 10.5001/omj.2015.54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Dejsirilert S, et al. Antimicrobial resistance of Acinetobacter baumannii: six years of National Antimicrobial Resistance Surveillance Thailand (NARST) surveillance. J Med Assoc Thail. 2009;92(Suppl 4):S34–S45. [PubMed] [Google Scholar]
  • 18.Custovic A, et al. Epidemiological monitoring of nosocomial infections caused by Acinetobacter baumannii. Med Arch. 2014;68(6):402–6. doi: 10.5455/medarh.2014.68.402-406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Koo SH, et al. Genetic basis of multidrug-resistant Acinetobacter baumannii clinical isolates from three university hospitals in Chungcheong Province, Korea. Korean J Lab Med. 2010;30(5):498–506. doi: 10.3343/kjlm.2010.30.5.498. [DOI] [PubMed] [Google Scholar]
  • 20.Perez F, Adachi J, Bonomo RA. Antibiotic-resistant gram-negative bacterial infections in patients with cancer. Clin Infect Dis. 2014;59(Suppl 5):S335–S339. doi: 10.1093/cid/ciu612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Vasudevan A, et al. Risk factors for infection/colonization caused by resistant Gram negative bacilli in critically ill patients (an observational study of 1633 critically ill patients) Prev Med. 2013;57(Suppl):S70–S73. doi: 10.1016/j.ypmed.2012.12.003. [DOI] [PubMed] [Google Scholar]
  • 22.Jung JY, et al. Risk factors for multi-drug resistant Acinetobacter baumannii bacteremia in patients with colonization in the intensive care unit. BMC Infect Dis. 2010;10:228. doi: 10.1186/1471-2334-10-228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Zheng YL, et al. Risk factors and mortality of patients with nosocomial carbapenem-resistant Acinetobacter baumannii pneumonia. Am J Infect Control. 2013;41(7):e59–e63. doi: 10.1016/j.ajic.2013.01.006. [DOI] [PubMed] [Google Scholar]
  • 24.McCracken M, et al. Characterization of Acinetobacter baumannii and meropenem-resistant Pseudomonas aeruginosa in Canada: results of the CANWARD 2007-2009 study. Diagn Microbiol Infect Dis. 2011;69(3):335–341. doi: 10.1016/j.diagmicrobio.2010.10.030. [DOI] [PubMed] [Google Scholar]
  • 25.Roca I, et al. The Acinetobacter baumannii oxymoron: commensal hospital dweller turned pan-drug-resistant menace. Front Microbiol. 2012;3:148. doi: 10.3389/fmicb.2012.00148. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are, however, available from the authors upon reasonable request.


Articles from BMC Infectious Diseases are provided here courtesy of BMC

RESOURCES