Next Article in Journal
Diabetic Ketoacidosis Associated with Thyroxine (T4) Toxicosis and Thyrotoxic Cardiomyopathy
Previous Article in Journal
Association between Sleep Quality and Body Composition in Sedentary Middle-Aged Adults
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Medicina
Volume 54
Issue 6
10.3390/medicina54060092
medicina-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Multidrug-Resistant Gram-Negative Bacilli: A Retrospective Study of Trends in a Tertiary Healthcare Unit

by
Delia Muntean
1,2,
Florin-George Horhat
1,3,*,
Luminița Bădițoiu
1,
Victor Dumitrașcu
1,
Iulia-Cristina Bagiu
1,
Delia-Ioana Horhat
1,
Dan A. Coșniță
1,
Anca Krasta
2,
Dorina Dugăeşescu
1 and
Monica Licker
1,2
1
“Victor Babeș” University of Medicine and Pharmacy, Eftimie Murgu Street, No. 2, 300041 Timișoara, Romania
2
“Pius Brînzeu” Emergency Clinical County Hospital, Liviu Rebreanu Street, No. 156, 300723 Timișoara, Romania
3
Children Emergency “Louis Turcanu” Timisoara, Iosif Nemoianu Street, No. 2, 300011 Timișoara, Romania
*
Author to whom correspondence should be addressed.
Medicina 2018, 54(6), 92; https://doi.org/10.3390/medicina54060092
Submission received: 5 October 2018 / Revised: 6 November 2018 / Accepted: 20 November 2018 / Published: 26 November 2018
Browse Figure
Versions Notes

Abstract

:
Background and objective: Bacterial multidrug resistance is particularly common in Gram-negative bacilli (GNB), with important clinical consequences regarding their spread and treatment options. The aim of this study was to investigate the trend of multidrug-resistant GNB (MDR-GNB) in high-risk hospital departments, between 2000–2015, in intervals of five years, with the intention of improving antibiotic therapy policies and optimising preventive and control practices. Materials and methods: This is an observational, retrospective study performed in three departments of the most important tertiary healthcare unit in the southwestern part of Romania: the Intensive Care Unit (ICU), the General Surgery Department (GSD), and the Nutrition and Metabolic Diseases Department (NMDD). MDR was defined as acquired resistance to at least one agent in three or more antimicrobial categories. Trends over time were determined by the Cochran–Armitage trend test and linear regression. Results: During the study period, a total of 2531 strains of MDR-GNB were isolated in 1999 patients: 9.20% in 2000, 18.61% in 2005, 37.02% in 2010, and 35.17% in 2015. The most significant increasing trend was recorded in the ICU (gradient = 7.63, R² = 0.842, p < 0.001). The most common MDR-GNB in the ICU was isolated from bronchoalveolar aspiration samples. Concerning the proportion of different species, most of the changes were recorded in the ICU, where a statistically significant increasing trend was observed for Proteus mirabilis (gradient = 2.62, R2 = 0.558, p < 0.001) and Acinetobacter baumannii (gradient = 2.25, R2 = 0.491, p < 0.001). Analysis of the incidence of the main resistance phenotypes proportion identified a statistically significant increase in carbapenem resistance in the ICU (Gradient = 8.27, R² = 0.866, p < 0.001), and an increased proportion of aminoglycoside-resistant strains in all three departments, but more importantly in the ICU and GSD. Conclusion: A statistically significant increasing trend was observed in all three departments; the most significant one was recorded in the ICU, where after 2010, carbapenem-resistant strains were isolated.

1. Introduction

Bacterial multidrug resistance is particularly common in Gram-negative bacilli (GNB), with important clinical consequences regarding their spread and treatment options.
Over recent years, infections caused by multidrug-resistant (MDR) bacteria have become endemic in many tertiary health care units and hospitals; acquired outbreaks involving such microorganisms are being reported worldwide [1,2,3].
Due to the impact of rising antimicrobial resistance, in 2001, the World Health Organisation (WHO) concluded that high priority should be given to measures that aimed to slow the emergence and reduce the spread of MDR, including ongoing local surveillance programmes and antibiotic stewardship. These measures are particularly important given that the development of antimicrobial agents has been reduced over the last years [4].
Several mechanisms could determine the antimicrobial resistance in GNB. These mechanisms include the enzymatic degradation of antimicrobial agents, such as beta-lactamases in the case of beta-lactam resistance, or modifying enzymes in aminoglycosides resistance. The alteration of antimicrobial targets mediate resistance to fluoroquinolones. Moreover, changes in bacterial membrane permeability can lead to resistance to many antimicrobial agents [5].
Due to the high variability in the prevalence of pathogens and resistance patterns in each hospital, local trends must be identified in order to be able to continually update and increase the effectiveness of empirical and targeted therapies through adapting them to identified microorganisms [6].
The selection of the Intensive Care Unit (ICU), General Surgery Department (GSD), and Nutrition and Metabolic Diseases Department (NMDD) was due to the following criteria: the ICU is the epicentre for the dissemination of MDR strains; surgery combines multiple extrinsic factors which create large breaches in the natural defence systems of the organism, and metabolic pathology is acknowledged to have an intrinsic potential for the increased receptivity to infections. Colonisation strains were not excluded, because colonisation may cause infections, especially in patients with suppressed immune systems or in invasive procedures such as catheters or surgeries [7]. On the other hand, there is also the possibility for the transmission of MDR strains from colonised patients to other people (patients and medical staff) by direct or indirect contact [8].
This study aimed to investigate the trend of MDR-GNB in the most important tertiary health care unit in the southwestern part of Romania over the period 2000–2015, with the intention of improving antibiotic therapy policies and optimising preventive and control practices.

2. Materials and Methods

2.1. Setting and Study Design

This is an observational, retrospective study performed in three departments of the “Pius Brînzeu” Emergency Clinical County Hospital, Timișoara (PBECCHT): the ICU with 27 beds, the GSD with 70 beds, and the NMDD with 62 beds. To assess the frequency of GNB resistance in the period 2000–2015, we studied four distinct years (in each case for the entire 12-month period of each year: 2000, 2005, 2010, and 2015).
Inclusion into the MDR category was made according to the definition proposed by Magiorakos et al. [9]:
-
MDR was defined as acquired resistance to at least one agent in three or more antimicrobial categories;
-
XDR was defined as bacterial isolates that remained susceptible to at most two antimicrobial categories.
The authors of this definition identify one of the limitations of these MDR criteria, which also exists for other definitions in the scientific literature, namely that bacterial strains labelled as MDR may possess multiple resistance profile variants. As the differences in MDR interpretation may depend on geographical area and endemicity, based on the National Programme for the Surveillance and Control of Nosocomial Infections and Monitoring of Antibiotic Use and Antibiotic Resistance given by the National Institute of Public Health (NIPH) in Romania, we classified the following bacteria that fell within the MDR-GNB category: Enterobacteriaceae resistant to extended-spectrum cephalosporins by the production of extended-spectrum beta-lactamases (ESBL) or AmpC, carbapenem-resistant Enterobacteriaceae, non-fermenting GNB resistant to ceftazidime or carbapenems [5].
Information was derived from electronic data records provided by the Bacteriology Department of the Central Clinical Laboratory of the hospital and then entered into in an electronic database (Microsoft Excel file) to allow statistical processing. Due to the retrospective nature of the study, based only on the microbiological surveillance data of samples taken during the current medical activity, the informed consent of the patient was not necessary, but the study has received the approval of the PBECCHT Ethics Committee (ref. no. 130/13 Sep. 2017).

2.2. Inclusion/Exclusion Criteria

All MDR-GNB from patients admitted to the above-mentioned departments during the study period were included. Patients with an ICU stay under one hour were excluded. Consecutive readmissions were considered in the case of discharged patients who were later readmitted to the same department in the same year. In cases of readmission that were more than one month after the previous discharge, the patient was again included in the total number of patients. A same strain was defined as a strain of the same bacterial species, with the same antibiotic susceptibility pattern, isolated in the same patient during one month, regardless of the samples in which it was isolated, and it was excluded to avoid duplication.

2.3. Calculation of Variables

The incidence of MDR-GNB-infected patients was calculated by reporting the number of patients from whom MDR-GNB strains were isolated, and the total number of patients admitted to that department during that year × 100.
The proportion of the biological samples was calculated by reporting the number of specimens from a particular sample from which the MDR-GNB strains were isolated to the total number of samples from which such strains have been isolated × 100.
The proportion of the species was calculated by reporting the number of MDR strains of that species to the total number of MDR-GNB strains isolated × 100.
The percent of phenotypes was calculated by reporting the number of resistant strains with that phenotype, isolated in that department, to the total number of MDR-GNB strains isolated in the same department × 100.

2.4. Microbiological Methods

Specimens came from the routinely clinical activity. GNB were isolated on Columbia 5% sheep blood agar (COS-bioMérieux, Marcy l’Etoile, France), lactose-containing Mac Conkey (bioMérieux, France), and chromogenic media for the detection of ESBL production (ESBL Brilliance agar-Oxoid, Basingstoke, UK) and carbapenem resistance (Brilliance CRE agar-Oxoid, UK). For bacterial identification, we used API 20E galleries (bioMérieux, France) or the Vitek automated system (bioMérieux, France). Sensitivity to antimicrobial agents was tested according to the Clinical Laboratory and Standards Institute (CLSI) criteria, by determining the minimum inhibitory concentration (MIC) with the Vitek system, which was supplemented when needed by the disk diffusion method [10].
The phenotypic confirmation of ESBL production was done using the synergy test between extended-spectrum cephalosporins and clavulanic acid and the double-disk synergy test with cefotaxime, ceftazidime, and cefepime with and without clavulanic acid [10,11]. Carbapenemase production was demonstrated either by the modified Hodge test or by combined disc methods (KPC, MBL, and OXA-48 Confirm kit, Rosco Diagnostica, Denmark) [10,12,13].

2.5. Statistical Analysis

The categorical variables, which were characterised by number and percentage, were compared by applying Pearson’s Chi-square with Fisher’s exact test. Trends over time were determined by the Cochran–Armitage trend test and linear regression. Statistical significance was calculated by two-tailed tests, and the significance threshold was set at p values ≤ 0.05. The statistical analysis of the database was performed using the SPSS version 20 (Armonk, NY, USA: IBM Corp) and XLSTAT (New York, NY, USA: Addinsoft SARL).

3. Results

After monitoring a total of 7040 patients admitted in the three above-mentioned departments in 2000, 6245 in 2005, 5891 in 2010, and 6068 in 2015, 2531 strains of MDR-GNB were isolated from 1999 patients (184 in 2000, 372 in 2005, 740 in 2010, and 703 in 2015), with an incidence trend shown in Table 1.
An increasing trend was observed that was statistically significant in all three departments, but with obvious differences. The most significant increase was recorded in the ICU (gradient = 7.63, R² = 0.842) followed by a significant linear increase in the NMDD (gradient = 2.58, R² = 0.952). In the GSD, the rising trend was much lower.
MDR-GNB were most commonly isolated in the ICU from bronchoalveolar aspiration samples. After a statistically significant decrease in 2005 versus 2000 (p < 0.001), the percentage of bronchoalveolar aspiration (among the samples from which MDR-GNB were isolated) significantly increased in 2010 versus 2005 (p < 0.001), remaining at the same percentage in 2015 (p = 0.669). The decrease in 2005 was due to an increased proportion in the blood cultures, with a peak in that year. In 2010, we recorded a significant decrease (p < 0.001), followed by an increase in percentage in 2015 in comparison to 2010 (p < 0.001). In the same department also in 2005, catheter-associated infections reached a peak of 7.14% (Table 2).
Concerning the proportion of different species in MDR Enterobacteriaceae and non-fermenting bacteria (Figure 1), most of the changes were recorded in the ICU. Thus, a statistically significant increasing trend was observed for Proteus mirabilis (gradient = 2.62, R2 = 0.558, p < 0.001) and Acinetobacter baumannii (gradient = 2.25, R2 = 0.491, p < 0.001), while the proportion of Klebsiella pneumoniae registered a very significant decreasing trend (gradient = −5.60, R² = 0.866, p < 0.001).
In the GSD, E. coli had a statistically significant decreasing trend (gradient = −3.85, R2 = 0.213, p = 0.014). Although for Proteus mirabilis the increasing statistical trend was only at the statistical significance threshold (gradient = 2.02, R² = 0.420, p = 0.065), this increase is important from an epidemiological and a clinical point of view, due to the links with the ICU.
On the NMDD, E. coli recorded a significantly decreasing trend (gradient = −4.35, R² = 0.492, p = 0.004), while Klebsiella pneumoniae had an increased trend (gradient = 3.45, R² = 0.671, p = 0.011).
The strains of Pseudomonas aeruginosa and Enterobacter cloacae did not portray statistically significant trends in any department; the high percentage of Pseudomonas aeruginosa strains was due to the reduced MDR-GNB number identified in the GSD in 2000.
The analysis of the incidence of the main beta-lactam resistance phenotypes only identified a statistically significant increase in carbapenem resistance in the ICU (gradient = 8.27, R² = 0.866, p < 0.001), which is presented in Table 3.
Concerning the other resistance phenotypes, an increased proportion of aminoglycoside-resistant strains in all three departments was noticed, but more importantly in the ICU and GSD, as highlighted in Table 4. The proportion of fluoroquinolone-resistant strains varied with statistical significance in the ICU, but the trend was not linear, while the percentage of resistance to folate pathway inhibitors and tetracyclines did not vary during the study in any of the three departments. None of the strains included in the study showed acquired resistance to glycylcyclines or polymyxins.

4. Discussion

This study had its starting point from the emergence of GNB in nosocomial infections with steadily rising trends over the past decade in Europe. Another important reason for conducting this study was the evidence of a risk of increased mortality among patients with hospital-acquired infections (HAI), in the event of a failure to control the pathogen during the first 24–48 h [14,15,16].
Under conditions of the increased use of invasive devices and procedures, aggressive antibiotic therapies and the increased number of more elderly patients undergoing surgery, treated with immunosuppressive therapies, or with co-morbidities causing immune deficiencies, we initiated this study in a tertiary healthcare unit with over 1000 beds, 11 medical and 12 surgical departments, and the most important ICU in southwest Romania.
Data from other studies that were conducted during the same period suggested a possible return in Europe to the situation where GNB dominated the etiology of systemic infections, which was a position that they lost in 1980 in favor of Gram-positive (GP) pathogens, especially Staphylococcus [17,18,19,20]. This change raises concerns, taking into account the higher mortality of sepsis caused by GNB as compared with GP cocci and the continual emergence of resistance among these bacterial species [3].
Based on the data obtained, we observed a decreased isolation of Klebsiella pneumoniae, which was concomitant with the emergence of Proteus mirabilis and Acinetobacter baumannii strains in the ICU. Acinetobacter baumannii is frequently involved in the etiology of assisted post-ventilation pneumonia, post-operative wound infections, septicemia and meningitis associated with ventricular artery disease, and ulcers pressure infections. Furthermore, the increased incidence of MDR strains requires the use of carbapenems, as well as in the case of resistance to this class, the use of colistin and tigecycline [21,22,23,24,25]. Parallel growth in the incidence of colistin-resistant Enterobacteriaceae, as Proteeae, increase the risk of inefficiency of these backup antimicrobial agents in case of extensively drug resistant (XDR)-Acinetobacter baumannii and Proteus spp. The impact of this upward trend is quantified in excess of morbidity, fatality, prolongation of hospitalisation, and significant additional financial costs for the ICU [26]. Additionally, there is an increase in the epidemiological risk of spreading these strains in other departments, affecting the quality of medical services provided by the hospital.
Most of the MDR-GNB strains were isolated from bronchial aspirates in ICU patients, from wound secretions of GSD patients, and from the urine of NMDD patients; these results are comparable with other studies conducted during the same period [27,28,29]. In our study, in 2005, in accordance with other reports, MDR-GNB were frequently isolated from blood cultures in the ICU and GSD [30,31,32,33].
The European Centre for Disease Prevention and Control (ECDC) data from 2007 showed high levels of resistance to third generation cephalosporins, fluoroquinolones, and aminoglycosides in southeastern European countries, especially for Klebsiella pneumoniae and Pseudomonas aeruginosa isolates [34].
In 2009, ECDC data highlighted the increase in MDR-GNB strains, which limited the number of therapeutic options, especially as a few countries in this period have reported a high proportion of carbapenem resistance in the case of Klebsiella pneumoniae [35].
In regard to our country, carbapenem resistance and MDR-GNB invasive isolates places Romania in the first place among European Antimicrobial Resistance Surveillance Network (EARS Net) countries [36]. In another study that was conducted in the same unit between 2012–2013, the incidence density of resistant strains was 7.88 for ESBL producing Klebsiella pneumoniae, 4.17 for Proteus mirabilis, and 4.68/1000 patient-days for MDR-Acinetobacter baumannii [26].
The increased resistance among GNB is frequently related to the high selective pressure of antimicrobials that are commonly used in hospitals [37,38,39]. The inclusion of gentamycin in many protocols of postoperative antibioprophylaxis (especially in digestive, urological, and gynecological surgery), as well as its frequent use in antibiotherapy, has led to increased selective pressure and incidence of aminoglycoside-resistant strains [40]. Correspondingly, in this study, all three departments that we observed showed an increase in the proportion of aminoglycoside-resistant strains.
However, frequent ESBL or cephalosporinases-producing strains did not show statistically significant trends in any department studied.
Resistance to fluoroquinolones did not increase significantly, but in the ICU, it changed significantly within the four years.
Also in the ICU, XDR strains have been isolated, which are characteristic for this department, where the accumulation of intrinsic and extrinsic nosocomial factors favors the selection of such bacterial strains.
The upward trend of the MDR and XDR strains has multiple causes: prolonged postoperative antibiotic prophylaxis in Romanian hospitals, a high antibiotic consumption rate (especially those with broad spectrum) both in hospitals and the community, a lack of updating clinical protocols depending on local circulatory trends, reduced the possibilities of isolation in high-risk departments, as well as reduced multidisciplinarity in the case of management and limited collaboration between clinicians, microbiologists, and epidemiologists [41]. This affects the ability of hospitals to offer optimal medical treatment, especially in high-risk departments, such as the ICU, surgery, and departments designed to treat immunosuppressed patients.
The increasing trend of resistance was seen in the majority of the bacteria studied in other European ICUs [42].
Worldwide, we are witnessing the emergence of MDR strains that may severely compromise the survival chances of patients. The key interventions against this phenomenon are appropriate infection control measures and the more considered use of antimicrobial agents [2]. To save the existing potential antibiotics, the government and physicians should limit the antibiotic prescription to prevent antibiotic resistance; for that reason, people should not easily get access to self-medicated antibiotics. Although antibiotics are released by prescription, self-medication is still present in the community environment, which raises the consumption of antibiotics. In Romania, there is the need for stricter monitoring of bacterial multidrug resistance, both locally and nationally, and studies such as this one give a complete overall picture and contribute to prioritising the topic in public health policies.
In the tertiary healthcare unit studied in this paper, following the increased levels of bacterial resistance, particularly in the ICU, a restrictive antibiotic therapy policy was adopted in 2005, and in 2011 the Committee for the prevention of healthcare-associated infections was created in the PBECCHT. Efforts initially focussed on the identification and annihilation of exogenous MDR sources by performing microbiological cultures of samples collected from all potentially contaminated medical devices or from other objects in the hospital environment and on the revision of all nosocomial risk procedures. In parallel, measures to prevent cross-contamination were taken, which can also be found in the guidelines for the prevention and control of MDR-GNB [43,44].
The design limitations of the present study include: retrospective character, discontinuous analysis of the three departments, at five-year intervals, and the involvement of a single tertiary medical unit and a single university center. Also, the lengthy investigation period generated inherent variations in MDR-GNB strains identification methodology, terminology, prevention, and control interventions applied in the hospital. As well as that, the interpretation of resistance phenotypes was done based on results published by the Bacteriology Department, without the opportunity to add genotyping methods for MDR strains.
Despite these, the study adds information to the data reported worldwide regarding the incidence of MDR-GNB in patients of high-risk hospital departments. Furthermore, the complete implementation of prevention and control methods is essential for the limitation of MDR-GNB dissemination and prevention of their further spread in the community.

5. Conclusions

A statistically significant increasing trend of MDR-GNB was observed in all three departments, with the most significant one recorded in the ICU, where most of the recorded changes targeted Proteus mirabilis and Acinetobacter baumannii strains. The same increasing trend was recorded for Proteus mirabilis in GSD and Klebsiella pneumoniae in NMDD. Analysis of the incidence of the main resistance phenotypes identified a statistically significant increase in carbapenem resistance in the ICU and an increased proportion of aminoglycoside-resistant strains in all three departments.

Author Contributions

Conceptualization, D.M. and M.L.; Methodology, L.B.; Software, L.B.; Validation, V.D., D.D. and F.-G.H.; Formal Analysis, L.B.; Investigation, D.A.C., A.K., D.-I.H.; Writing-Original Draft Preparation, D.M.; Writing-Review & Editing, I.-C.B.; Visualization, L.M.; Supervision, F.-G.H.; Project Administration, M.L.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Spellberg, B.; Blaser, M.; Guidos, R.J.; Boucher, H.W.; Bradley, J.S. Combating antimicrobial resistance: Policy recommendations to save lives. Clin. Infect. Dis. 2011, 52, 397–428. [Google Scholar]
  2. Gray, J.W.; Mahida, N. How do you solve a problem like multidrug-resistant Gram-negative bacteria? J. Hosp. Infect. 2016, 92, 1–2. [Google Scholar] [CrossRef] [PubMed]
  3. Cole, J. Antimicrobial resistance—A ‘rising tide’ of national (and international) risk. J. Hosp. Infect. 2016, 92, 3–4. [Google Scholar] [CrossRef] [PubMed]
  4. World Health Organization. WHO Global Strategy for the Containment of Antimicrobial Resistance; WHO: Geneva, Switzerland, 2001; Available online: http://www.who.int/drugresistance/guidance/en/index.html (accessed on 15 August 2017).
  5. Ruppé, E.; Woerther, P.; Barbier, F. Mechanisms of antimicrobial resistance in Gram-negative bacilli. Ann. Intensive Care 2015, 5, 21. [Google Scholar] [CrossRef] [PubMed]
  6. US Centers for Disease Control and Prevention. A Public Health Action Plan to Combat Antimicrobial Resistance. Available online: http://www.cdc.gov/drugresistance/actionplan/taskforce.html (accessed on 15 August 2017).
  7. Sekowska, A.; Gospodarek, E.; Kusza, K. The prevalence of infections and colonisation with Klebsiella pneumoniae strains isolated in ICU patients. Anaesthesiol. Intensive Ther. 2014, 46, 280–283. [Google Scholar] [PubMed]
  8. National Programme for the Surveillance and Control of Nosocomial Infections and Monitoring of Antibiotic Use and Antibiotic Resistance. National Institute of Public Health 2016. Available online: http://www.hosptm.ro/files/juridic/2016/ordinul_nr._1101_din_07.10.2016.pdf (accessed on 15 December 2016).
  9. Magiorakos, A.P.; Srinivasan, A.; Carey, R.B.; Carmeli, Y.; Falagas, M.E.; Giske, C.G.; Harbarth, S.; Hindler, J.F.; Kahlmeter, G.; Olsson-Liljequist, B.; et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: An international expert proposal for interim standard definitions for acquired resistance. Clin. Microbiol. Infect. 2012, 18, 268–281. [Google Scholar] [CrossRef] [PubMed]
  10. Clinical and Laboratory Standards Institute. Performance Standards for Antimicrobial Susceptibility Testing 2013; Twenty third informational supplement M 100-S23; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2013. [Google Scholar]
  11. Tharmalingam, N.; Rajmuthiah, R.; Kim, W.; Fuchs, B.B.; Jeyamani, E.; Kelso, M.J.; Mylonakis, E. Antibacterial Properties of Four Novel Hit Compounds from a Methicillin-Resistant Staphylococcus aureus-Caenorhabditis elegans High-Throughput Screen. Microb. Drug Resist. 2018, 24, 666–674. [Google Scholar] [CrossRef] [PubMed]
  12. Hrabák, J.; Chudáčková, E.; Papagiannitsis, C.C. Detection of carbapenemases in Enterobacteriaceae: A challenge for diagnostic microbiological laboratories. Clin. Microbiol. Infect. 2014, 20, 839–853. [Google Scholar] [CrossRef]
  13. Miriagou, V.; Tzelepi, E.; Kotsakis, S.D.; Daikos, G.L.; Bou Casals, J.; Tzouvelekis, L.S. Combined disc methods for the detection of KPC-and/or VIM-positive Klebsiella pneumoniae: Improving reliability for the double carbapenemase producers. Clin. Microbiol. Infect. 2013, 19, E412–E415. [Google Scholar] [CrossRef]
  14. Blot, S. Limiting the attributable mortality of nosocomial infection and multidrug resistance in intensive care units. Clin. Microbiol. Infect. 2008, 14, 5–13. [Google Scholar] [CrossRef]
  15. Colardyn, F. Appropriate and timely empirical antimicrobial treatment of ICU infections-a role for carbapenems. Acta Clin. Belg. 2005, 60, 51–62. [Google Scholar] [CrossRef] [PubMed]
  16. Depuydt, P.; Blot, S. Antibiotic therapy for ventilator-associated associated pneumonia: De-escalation in the real world. Crit. Care Med. 2007, 35, 632–633. [Google Scholar] [CrossRef] [PubMed]
  17. Livermore, D.M.; Hope, R.; Brick, G.; Lillie, M.; Reynolds, R. Non-susceptibility trends among Enterobacteriaceae from bacteraemias in the UK and Ireland, 2001–06. J. Antimicrob. Chemother. 2008, 62, ii4–ii54. [Google Scholar] [CrossRef] [PubMed]
  18. Wilson, J.; Elgohari, S.; Livermore, D.M.; Cookson, B.; Johnson, A.; Lamaqni, T.; Chronias, A.; Sheridan, E. Trends among pathogens reported as causing bacteraemia in England, 2004–2008. Clin. Microbiol. Infect. 2011, 17, 451–458. [Google Scholar] [CrossRef] [PubMed]
  19. Marchaim, D.; Zaidenstein, R.; Lazarovitch, T.; Karpuch, Y.; Ziv, T.; Weinberger, M. Epidemiology of bacteremia episodes in a single center: Increase in Gram-negative isolates, antibiotics resistance and patient age. Eur. J. Clin. Microbiol. Infect. Dis. 2008, 27, 1045–1051. [Google Scholar] [CrossRef]
  20. Robenshtok, E.; Paul, M.; Leibovici, L.; Fraser, A.; Pitlik, S.; Ostfeld, I.; Samra, Z.; Perez, S.; Lev, B.; Weinberger, M. The significance of Acinetobacter baumannii bacteraemia compared with Klebsiella pneumoniae bacteraemia: Risk factors and outcomes. J. Hosp. Infect. 2006, 64, 282–287. [Google Scholar] [CrossRef] [PubMed]
  21. Gaynes, R.; Edwards, J.R. National Nosocomial Infections Surveillance System. Overview of nosocomial infections caused by Gram-negative bacilli. Clin. Infect. Dis. 2005, 41, 848–854. [Google Scholar]
  22. Pimentel, J.D.; Low, J.; Styles, K.; Harris, O.C.; Hughes, A.; Athan, E. Control of an outbreak of multi-drug-resistant Acinetobacter baumannii in an intensive care unit and a surgical ward. J. Hosp. Infect. 2005, 59, 249–253. [Google Scholar] [CrossRef]
  23. Falagas, M.E.; Kopterides, P. Risk factors for the isolation of multidrug-resistant Acinetobacter baumannii and Pseudomonas aeruginosa: A systematic review of the literature. J. Hosp. Infect. 2006, 64, 7–15. [Google Scholar] [CrossRef]
  24. Cisneros, J.M.; Rodriguez-Bano, J.; Fernandez-Cuenca, F.; Ribera, A.; Vila, J.; Pascual, A.; Martinez-Martinez, L.; Bou, G.; Pachon, J. Spanish Group for Nosocomial Infection (GEIH) for the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC): Risk-factors for the acquisition of imipenem-resistant Acinetobacter baumannii in Spain: A nationwide study. Clin. Microbiol. Infect. 2005, 11, 874–879. [Google Scholar] [CrossRef]
  25. Villalón, P.; Valdezate, S.; Cabezas, T.; Ortega, M.; Garrido, N.; Vindel, A.; Medina-Pascual, M.J.; Saez-Nieto, J.A. Endemic and epidemic Acinetobacter baumannii clones: A twelve-year study in a tertiary care hospital. BMC Microbiol. 2015, 15, 47. [Google Scholar] [CrossRef] [PubMed]
  26. Axente, C.; Licker, M.; Moldovan, R.; Hogea, E.; Muntean, D.; Horhat, F.; Bedreag, O.; Sandesc, D.; Papurica, M.; Dugaesescu, D.; et al. Antimicrobial consumption, costs and resistance patterns: A two year prospective study in a Romanian intensive care unit. BMC Infect. Dis. 2017, 17, 358. [Google Scholar] [CrossRef] [PubMed]
  27. Kola, A.; Holst, M.; Chaberny, I.F.; Ziesing, S.; Suerbaum, S.; Gastmeier, P. Surveillance of extended-spectrum β-lactamase-producing bacteria and routine use of contact isolation: Experience from a three-year period. J. Hosp. Infect. 2007, 66, 46–51. [Google Scholar] [CrossRef] [PubMed]
  28. Sligl, W.; Taylor, G.; Brindley, P.G. Five years of nosocomial Gram-negative bacteremia in a general intensive care unit: Epidemiology, antimicrobial susceptibility patterns and outcomes. Int. J. Inf. Dis. 2006, 10, 320–325. [Google Scholar] [CrossRef] [PubMed]
  29. Randrianirina, F.; Vaillant, L.; Ramarokoto, C.E. Antimicrobial resistance in pathogens causing nosocomial infections in surgery and intensive care wards in Antananarivo, Madagascar. J. Infect. Dev. Ctries 2010, 4, 74–82. [Google Scholar] [PubMed]
  30. Depuydt, P.O.; Blot, S.I.; Benoit, D.D.; Claeys, G.W.; Verschraegen, G.L.; Vandewoude, K.H.; Vogelaers, D.P.; Decruyenaere, J.M.; Colardyn, F.A. Antimicrobial resistance in nosocomial bloodstream infection associated with pneumonia and the value of systematic surveillance cultures in an adult intensive care unit. Crit. Care Med. 2006, 34, 653–659. [Google Scholar] [CrossRef] [PubMed]
  31. Blot, S.; Depuydt, P.; Vogelaers, D.; Decruyenaere, J.; De Waele, J.; Hoste, E.; Peleman, R.; Claeys, G.; Verschraegen, G.; Colardyn, F.; et al. Colonization status and appropriate antibiotic therapy for nosocomial bacteremia caused by antibiotic-resistant gram-negative bacteria in an intensive care unit. Infect. Control Hosp. Epidemiol. 2005, 26, 575–579. [Google Scholar] [CrossRef]
  32. Starnes, M.J.; Brown, C.V.R.; Morales, I.R.; Hadjizacharia, P. Evolving pathogens in the surgical intensive care unit: A 6-year experience. J. Crit. Care. 2008, 23, 507–512. [Google Scholar] [CrossRef]
  33. Moehario, L.H.; Tjoa, E.; Kiranasari, A.; Ningsih, I.; Rosana, Y.; Karuniawati, A. Trends in antimicrobial susceptibility of Gram-negative bacteria isolated from blood in Jakarta from 2002 to 2008. J. Infect. Dev. Ctries. 2009, 3, 843–848. [Google Scholar] [CrossRef]
  34. ECDC. Antimicrobial Resistance and Healthcare-Associated Infections (AMR/HCAI). Annual Epidemiological Report on Communicable Diseases in Europe. Stockholm, Sweden, 2009. Available online: www.ecdc.europa.eu (accessed on 15 August 2017).
  35. ECDC. Antimicrobial Resistance and Healthcare-Associated Infections (AMR/HCAI). Annual Epidemiological Report 2011—Reporting on 2009 Surveillance Data and 2010 Epidemic Intelligence Data. Available online: www.ecdc.europa.eu (accessed on 15 August 2017).
  36. Popescu, G.A.; Șerban, R.; Niculcea, A. CARMIN-ROM 2015 (Consumul de Antibiotice, Rezistența Microbiană și Infecții Nosocomiale în România-2015). Available online: https://cnscbt.ro/index.php/analiza-date-supraveghere/infectii-nosocomiale-1/684-consumul-de-antibiotice-rezistenta-microbiana-si-infectii-nosocomiale-in-romania-2015/file (accessed on 15 August 2017).
  37. Friedrich, L.V.; White, R.L.; Bosso, J.A. Impact of use of multiple antimicrobials on changes in susceptibility of gram-negative aerobes. Clin. Infect. Dis. 1999, 28, 1017–1024. [Google Scholar] [CrossRef]
  38. Hsueh, P.R.; Chen, W.H.; Luh, K.T. Relationships between antimicrobial use and antimicrobial resistance in Gram-negative bacteria causing nosocomial infections from 1991–2003 at a university hospital in Taiwan. Int. J. Antimicrob. Agents 2005, 26, 463–472. [Google Scholar] [CrossRef] [PubMed]
  39. Chen, I.L.; Lee, C.H.; Su, L.H.; Tang, Y.F.; Chang, S.J.; Liu, J.W. Antibiotic consumption and healthcare-associated infections caused by multidrug-resistant gram-negative bacilli at a large medical center in Taiwan from 2002 to 2009: Implicating the importance of antibiotic stewardship. PLoS ONE 2013, 8, e65621. [Google Scholar] [CrossRef]
  40. Bartlett, J.G.; Auwaerter, P.G.; Pham, P.A. Johns Hopkins ABX Guide: Diagnosis & Treatment of Infectious Diseases, 2nd ed.; Jones & Bartlett Publishers: Burlington, MA, USA, 2010; Volume 526. [Google Scholar]
  41. ECDC Country Visit to Romania to Discuss Antimicrobial Resistance Issues. Available online: https://ecdc.europa.eu/en/publications-data/ecdc-country-visit-romania-discuss-antimicrobial-resistance-issues (accessed on 20 October 2018).
  42. Hanberger, H.; Arman, D.; Gill, H.; Jindrák, V.; Kalenic, S.; Kurcz, A.; Licker, M.; Naaber, P.; Scicluna, E.A.; Vanis, V.; et al. Surveillance of microbial resistance in European Intensive Care Units: A first report from the Care-ICU programme for improved infection control. Intensive Care Med. 2009, 1, 91–100. [Google Scholar] [CrossRef] [PubMed]
  43. Tacconelli, E.; Cataldo, M.A.; Dancer, S.J.; De Angelis, G.; Falcone, M.; Frank, U.; Kahlmeter, G.; Pan, A.; Petrosillo, N.; Rodríguez-Baño, J.; et al. ESCMID guidelines for the management of the infection control measures to reduce transmission of multidrug-resistant Gram-negative bacteria in hospitalized patients. Clin. Microbiol. Infect. 2014, 20, 1–55. [Google Scholar] [CrossRef] [PubMed]
  44. Wilson, A.P.; Livermore, D.M.; Otter, J.A.; Warren, R.E.; Jenks, P.; Enoch, D.A.; Newsholme, W.; Oppenheim, B.; Leanord, A.; McNulty, C.; et al. Prevention and control of multi-drug-resistant Gram-negative bacteria: Recommendations from a Joint Working Party. J. Hosp. Infect. 2016, 92, S1–S44. [Google Scholar] [CrossRef] [PubMed]
Medicina 54 00092 g001 550
Figure 1. The proportion of species among MDR-GNB isolated included in this study.
Figure 1. The proportion of species among MDR-GNB isolated included in this study.
Medicina 54 00092 g001
Table
Table 1. Incidence of infected and colonised patients with multidrug-resistant Gram-negative bacilli (MDR-GNB). ICU: Intensive Care Unit, GSD: General Surgery Department, NMDD: Nutrition and Metabolic Diseases Department.
Table 1. Incidence of infected and colonised patients with multidrug-resistant Gram-negative bacilli (MDR-GNB). ICU: Intensive Care Unit, GSD: General Surgery Department, NMDD: Nutrition and Metabolic Diseases Department.
Departments2000 n (%) *2005 n (%) *2010 n (%) *2015 n (%) *GradientR²p *
ICU100 (3.73)221 (10.74)455 (26.18)422 (24.03)7.630.842<0.001
GSD13 (0.56)61 (2.80)104 (5.06)73 (3.08)0.980.474<0.001
NMDD71 (3.47)90 (4.47)181 (8.63)208 (10.67)2.580.952<0.001
Total184 (2.61)372 (5.96)740 (12.56)703 (11.58)3.350.842<0.001
* Cochran–Armitage trend test.
Table
Table 2. Proportion of various biological samples from which MDR-GNB have been isolated.
Table 2. Proportion of various biological samples from which MDR-GNB have been isolated.
Biological Specimens2000200520102015
ICU n (%) *GSD n (%) *NMDD n (%) *ICU n (%) *GSD n (%) *NMDD n (%) *ICU n (%) *GSD n (%) *NMDD n (%) *ICU n (%) *GSD n (%) *NMDD n (%) *
Bronchoalveolar lavage80 (72.07)0 (0)1 (1.38)128 (39.75)1 (1.58)0 (0)434 (58.88)5 (4.63)6 (3.17)371 (60.03)0 (0)0 (0)
Sputum1 (0.9)0 (0)1 (1.38)1 (0.31)1 (1.58)3 (3.19)17 (2.3)1 (0.92)7 (3.7)15 (2.42)1 (1.26)20 (9.09)
Endotracheal aspirate2 (1.8)1 (7.69)1 (1.38)8 (2.48)3 (4.76)3 (3.19)0 (0)0 (0)0 (0)2 (0.32)0 (0)0 (0)
Blood0 (0)0 (0)0 (0)44 (13.66)4 (6.35)0 (0)22 (2.98)0 (0)0 (0)45 (7.28)0 (0)0 (0)
Catheter tip0 (0)0 (0)0 (0)23 (7.14)1 (1.58)0 (0)34 (4.61)1 (0.92)0 (0)19 (3.07)1 (1.26)0 (0)
Wound secretion17 (15.31)7 (53.84)4 (5.55)26 (8.07)32 (50.79)12 (12.76)67 (9.09)63 (58.33)32 (16.93)33 (5.33)31 (39.24)28 (12.72)
Urine11 (9.9)4 (30.77)64 (88.89)72 (22.36)17 (26.98)76 (80.85)138 (18.72)16 (14.81)142 (75.13)114 (18.44)19 (24.05)165 (75)
Other *0 (0)1 (7.69)1 (1.38)20 (6.21)4 (6.35)0 (0)25 (3.39)22 (20.37)2 (1.05)19 (3.07)27 (34.18)7 (3.18)
Total111 (100)13 (100)72 (100)322 (100)63 (100)94 (100)737 (100)108 (100)189 (100)618 (100)79 (100)220 (100)
* Other = cerebrospinal fluid; puncture fluids; abscess pus; pressure ulcer secretion; drainage tube.
Table
Table 3. The proportion incidence of beta-lactam resistance phenotypes among MDR-GNB.
Table 3. The proportion incidence of beta-lactam resistance phenotypes among MDR-GNB.
DepartmentPhenotypes2000 n (%)2005 n (%)2010 n (%)2015 n (%)GradientR²p *
ICUCASE30 (27.52)177 (59.59)509 (73.55)295 (49.00)7.840.2720.727
ESBL79 (72.47)120 (40.40)183 (26.44)307 (50.99)−7.840.2720.727
CR0 (0)0 (0)69 (9.97)146 (24.25)8.270.866<0.001
Total 109 (100)297 (100)692 (100)602 (100)
GSDCASE10 (76.92)51 (80.95)100 (93.45)64 (83.11)2.510.2510.474
ESBL3 (23.07)12 (19.04)7 (6.54)13 (16.88)−3.110.3240.474
CR0 (0)0 (0)1 (0.93)1 (1.29)0.480.8880.366
Total 13 (100)63 (100)107 (100)77 (100)
NMDDCASE59 (81.94)84 (90.32)174 (93.04)193 (88.12)2.130.3370.349
ESBL13 (18.00)9 (9.67)13 (6.95)26 (11.87)−5.510.9660.349
CR0 (0)0 (0)1 (0.53)1 (0.45)0.190.7260.462
Total 72 (100)93 (100)187 (100)219 (100)
Total 194453986898
* Cochran–Armitage trend test; CASE: cephalosporinase hyperproduction, ESBL: extended spectrum beta-lactamases, CR: carbapenem resistance.
Table
Table 4. The evolution of aminoglycosides, fluoroquinolones, folate pathway inhibitors, glycylcyclines, polymyxins, and tetracyclines resistance proportion among MDR-GNB.
Table 4. The evolution of aminoglycosides, fluoroquinolones, folate pathway inhibitors, glycylcyclines, polymyxins, and tetracyclines resistance proportion among MDR-GNB.
DepartmentAntibiotic2000 n (%)2005 n (%)2010 n(%)2015 n (%)GradientR²p *
ICUAminoglycosides47 (43.11)173 (58.24)576 (83.23)517 (85.88)15.330.928<0.001
Fluoroquinolones73 (66.97)119 (40.06)283 (40.89)404 (67.10)0.1220.0001<0.001
Folate pathway inhibitors67 (61.46)181 (60.94)417(60.26)382(63.45)0.5290.5580.449
Glycylcycline0 (0)0 (0)0 (0)0 (0)NANANA
Polymyxins0 (0)0 (0)0 (0)0 (0)NANANA
Tetracyclines59 (54.12)167 (56.22)392 (56.64)326 (54.15)0.0510.0020.687
Total 109 (100)297 (100)692 (100)602 (100)
GSDAminoglycosides3 (23.07)44 (69.84)98 (91.58)64 (83.11)20.1860.727<0.001
Fluoroquinolones3 (23.07)16 (25.39)25 (23.36)24 (31.16)2.2240.5850.398
Folate pathway inhibitors6 (46.15)31 (49.20)47 (43.92)34 (44.15)−1.1280.3550.606
Glycylcycline0 (0)0 (0)0 (0)0 (0)NANANA
Polymyxins0 (0)0 (0)0 (0)0 (0)NANANA
Tetracyclines4 (30.76)17 (26.98)29 (27.10)32 (41.55)3.2490.3730.093
Total 13 (100)63 (100)107 (100)77 (100)
NMDDAminoglycosides55 (76.38)60 (64.51)167 (89.3)190 (86.75)5.590.408<0.001
Fluoroquinolones19 (26.38)33 (35.48)53 (28.34)61 (27.85)−0.2730.0070.913
Folate pathway inhibitors44 (61.11)59 (63.44)108 (57.75)129 (58.90)−1.2320.3990.545
Glycylcycline0 (0)0 (0)0 (0)0 (0)NANANA
Polymyxins0 (0)0 (0)0 (0)0 (0)NANANA
Tetracyclines50 (69.44)62 (66.66)117 (62.56)144 (65.75)−1.5170.4770.592
Total 72 (100)93 (100)187 (100)219 (100)
Total 194453986898
* Cochran–Armitage trend test; NA = Not applicable.

Share and Cite

MDPI and ACS Style

Muntean, D.; Horhat, F.-G.; Bădițoiu, L.; Dumitrașcu, V.; Bagiu, I.-C.; Horhat, D.-I.; Coșniță, D.A.; Krasta, A.; Dugăeşescu, D.; Licker, M. Multidrug-Resistant Gram-Negative Bacilli: A Retrospective Study of Trends in a Tertiary Healthcare Unit. Medicina 2018, 54, 92. https://doi.org/10.3390/medicina54060092

AMA Style

Muntean D, Horhat F-G, Bădițoiu L, Dumitrașcu V, Bagiu I-C, Horhat D-I, Coșniță DA, Krasta A, Dugăeşescu D, Licker M. Multidrug-Resistant Gram-Negative Bacilli: A Retrospective Study of Trends in a Tertiary Healthcare Unit. Medicina. 2018; 54(6):92. https://doi.org/10.3390/medicina54060092

Chicago/Turabian Style

Muntean, Delia, Florin-George Horhat, Luminița Bădițoiu, Victor Dumitrașcu, Iulia-Cristina Bagiu, Delia-Ioana Horhat, Dan A. Coșniță, Anca Krasta, Dorina Dugăeşescu, and Monica Licker. 2018. "Multidrug-Resistant Gram-Negative Bacilli: A Retrospective Study of Trends in a Tertiary Healthcare Unit" Medicina 54, no. 6: 92. https://doi.org/10.3390/medicina54060092

Article Metrics

Back to TopTop