About the Author(s)


Sinenhlanhla Ndzabandzaba Email symbol
Department of Clinical Microbiology and Infectious Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Department of Microbiology Laboratory, Chris Hani Baragwanath Academic Hospital, National Health Laboratory Services, Johannesburg, South Africa

Lesego Mothibi symbol
Department of Clinical Microbiology and Infectious Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Department of Microbiology Laboratory, Chris Hani Baragwanath Academic Hospital, National Health Laboratory Services, Johannesburg, South Africa

Nina von Knorring symbol
Department of Clinical Microbiology and Infectious Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Department of Microbiology Laboratory, Chris Hani Baragwanath Academic Hospital, National Health Laboratory Services, Johannesburg, South Africa

Citation


Ndzabandzaba S, Mothibi L, Von Knorring N. Non-fermenter Gram-negative bacilli at a tertiary hospital, South Africa. S Afr J Infect Dis. 2023;38(1), a538. https://doi.org/10.4102/sajid.v38i1.538

Original Research

Non-fermenter Gram-negative bacilli at a tertiary hospital, South Africa

Sinenhlanhla Ndzabandzaba, Lesego Mothibi, Nina von Knorring

Received: 17 May 2023; Accepted: 01 Oct. 2023; Published: 20 Nov. 2023

Copyright: © 2023. The Author(s). Licensee: AOSIS.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background: Non-fermenting Gram-negative bacilli (NFGNB) are a significant cause of healthcare-associated infections and are often implicated in nosocomial outbreaks. Non- fermenting Gram-negative bacilli tend to have variable susceptibility patterns that make the choice of empiric therapy difficult and thus treatment must be based on in vitro susceptibility testing of each antimicrobial agent.

Objectives: To describe the epidemiology of the NFGNB isolated from adult patients at Chris Hani Baragwanath Hospital (CHBAH) and to assess their antimicrobial susceptibility patterns in order to guide empiric therapy and inform infection prevention and control practices.

Method: Organisms isolated from sterile sites of adult in-patients between 01 January 2016 to 31 December 2018 were retrospectively analysed.

Results: A total of 2005 NFGNB isolated. Blood cultures were the most common specimen type (91.4%). Acinetobacter species were the most commonly isolated organisms (65.1%), followed by Pseudomonas species (26.5%). The majority of NFGNB were isolated from patients in surgical wards (38.9%) followed by medical wards (35.2%). Most (60%) of the Acinetobacter species were extremely drug resistant. Pseudomonas species were more susceptible than the Acinetobacter species with an overall susceptibility rate of 86% for Pseudomonas species.

Conclusion: The rates of antimicrobial resistance demonstrated among Acinetobacter and Pseudomonas species were high, which illustrates the threat of antimicrobial resistance also seen worldwide. An emergence of NFGNB with intrinsic multidrug resistance (Stenotrophomonas maltophilia and Burkholderia cepacia) was noted. We suggest empiric therapy with a carbapenem sparing regimen of piperacillin-tazobactam in combination with amikacin and that empiric therapy be reviewed annually when cumulative antibiograms are done.

Contribution: Understanding of the distribution and antimicrobial susceptibility patterns of NFGNB at CHBAH.

Keywords: prevalence; distribution; antibiogram; antimicrobial resistance; antimicrobial stewardship; infection prevention and control; non-fermenting Gram-negative bacilli.

Introduction

The increasing emergence of multidrug-resistant organisms is a public health threat that is recognised worldwide.1 The World Health Organization (WHO) has published the Priority Pathogens List as part of its efforts to address the increase in the global resistance to antimicrobial agents. In the list, the threat of Gram-negative bacilli (GNB) that are resistant to multiple antibiotics is emphasised. Two non-fermenting Gram-negative bacilli (NFGNB), namely Acinetobacter baumannii (carbapenem resistant) and Pseudomonas aeruginosa (carbapenem resistant) are among the organisms in this list.2

Non-fermenting Gram-negative bacilli often colonise the hospital environment,3 hospitalised patients and the hands of healthcare workers and pose a challenge as they are resistant to a variety of disinfectants commonly used in the hospital environment.4,5,6 Non-fermenting Gram-negative bacilli are increasingly being cultured from normally sterile sites such as cerebrospinal fluid (CSF), blood, tissue, pus, fluid and catheter tips.7 Non-fermenting Gram-negative bacilli have recently been recognised as an important cause of healthcare-associated infections (HAIs) and are known to cause infections such as bacteraemia, meningitis, lower respiratory and urinary tract infections as well as wound infections8,9 and may be implicated in outbreaks.10,11,12 The role of NFGNB in causing disease is well described especially in patients who are or have been recently hospitalised.9 Other risk factors for infections due to NFGNB include patients that are immunocompromised (for example, oncology patients, organ transplant patients), cystic fibrosis patients, patients who have sustained trauma, mechanically ventilated patients and patients with urinary catheters.13

Non-fermenting Gram-negative bacilli are often inherently resistant to certain classes of antimicrobial agents.9,14,15 They express most of the known resistance mechanisms to antimicrobials.16,17 Non-fermenting Gram-negative bacilli tend to have variable susceptibility patterns, and predicting these is difficult. In recent years, there has been increased resistance to the already limited number of antimicrobials that are commonly used to treat NFGNB. One of the reasons thought to be accounting for this rise is the increased use of broad-spectrum antibiotics such as carbapenems.18 This emergence of resistance is being seen worldwide and has resulted in decreased treatment options as well as adverse patient outcomes.19 Laboratory-based sentinel surveillance for A. baumannii bacteraemia conducted in four South African provinces during 2018 detected 1787 cases; over a third of those whose outcome was known died in hospital.20

Because of the unpredictability of the susceptibility patterns, the choice of empiric therapy is complicated and must be based on in vitro susceptibility testing of each agent. Delay in initiating effective therapy for infections by resistant organisms has been shown to significantly increase the risk of mortality.19 Monitoring of emerging antimicrobial resistance trends locally using an annual summary of susceptibility rates, known as a cumulative antibiogram, is therefore critical as it guides adequate clinical management, infection-control interventions and antimicrobial-resistance containment strategies.21 A study in this country by von Knorring et al. showed that 15% of the NFGNB analysed were extremely drug-resistant (XDR).16 A similar study to ours, done in India, showed rapidly emerging resistance of the NFGNB and multidrug-resistant (MDR) rate of 35.28%.17 Both these studies support the use of antibiograms.

The objectives of the study therefore were to describe the epidemiology (burden and distribution) of the different NFGNB isolated from adult in-patients, as well as to assess their antimicrobial susceptibility patterns. This will assist in guiding empiric therapy for nosocomial bloodstream infections, especially in the vulnerable immunocompromised patients and in informing infection prevention and control (IPC) practices.

Methods

This was a retrospective data analysis of laboratory records from 01 January 2016 until 31 December 2018. It was conducted at the local laboratory, in the Department of Microbiology, Chris Hani Baragwanath Academic Hospital (CHBAH). Chris Hani Baragwanath Academic Hospital is a 3400-bed tertiary hospital in Soweto, Johannesburg, South Africa. The adult wards at CHBAH are divided into medical wards (including Haematology patients), psychiatric wards, surgical wards (including burns unit), obstetrics and gynaecological wards as well as the intensive care unit (ICU). The hospital has a high prevalence of patients infected with the human immunodeficiency virus (HIV).22 The ICU admits trauma patients, medical patients, as well as obstetrics and gynaecology patients.

Data were extracted from the National Health Laboratory Services’ (NHLS) laboratory information system (LIS) database. Organism identification, ward and specimen type of all NFGNB from clinical specimens from sterile sites (blood, tissue, fluid and pus aspirates, central venous catheter tips) in adult patients were extracted as well as the results of antimicrobial susceptibility testing (AST). Only catheter tips with significant colony forming units (> 15 CFU) were included. We excluded samples from non-sterile sites (pus swabs, respiratory samples and urine) as well as surveillance samples. Duplicate patient isolates of the same pathogen were excluded to minimise bias due to over-representation of more resistant organisms according to the Clinical and Laboratory Standards Institute (CLSI) guidelines.23 For the epidemiological aspect of this study, we excluded the same species identified from the same patient within 14 days for blood cultures and 30 days for other specimens according to the Centers for Disease Control and Prevention (CDC) document on HAIs.24 In order to compile an antibiogram, only the first isolate of a species per patient, irrespective of body site or antimicrobial profile was included as per CLSI guidance.25 Species isolates for which there were less than 30 samples were excluded from the analysis as these could lead to statistical inaccuracies.25 We also excluded those isolates with intermediate susceptibility.25

Identification of the NFGNB was done using manual methods such as Analytical Profile Index (API) 20E and API 20 NE (bioMérieux, Marcy l’Étoile, France) as well as the MicroScan WalkAway (Beckman Coulter, Brea, CA, United States [US]), which is an automated method.

The AST of the isolates was performed routinely using the manual Kirby-Bauer disk diffusion method or the MicroScan WalkAway. All susceptibility results were interpreted according to the CLSI breakpoints for the corresponding year.26,27,28

Organisms were described as XDR if non-susceptible to ≥ 1 agent in all but ≤ antimicrobial categories or as MDR if non-susceptible to ≥ 1 agent in ≥ 3 antimicrobial categories.29

Data were analysed using STATA 14 statistical software. Statistical significance was determined by the use of chi-squared p-value at a level of significance of 0.05. The data are presented in tables and proportions after removing those that did not meet the inclusion criteria.

Results

Burden and distribution of non-fermenting Gram-negative bacilli

A total of 2005 NFGNB were isolated between 2016 and 2018 with blood cultures by far the most common sample type overall (n = 1833, 91.4%) and the most common sample type for each of the main individual species (Table 1). Acinetobacter species were the most commonly isolated NFGNB during the study period (n = 1306, 65.1%) followed by Pseudomonas species (n = 534, 26.6%), Stenotrophomonas maltophilia (n = 73, 3.6%) and Burkholderia cepacia (n = 25, 1.3%) (Table 1). This distribution was seen throughout the 3 years studied (Table 2). The other less commonly isolated NFGNB were grouped and formed 3.3% (n = 67) of the NFGNB.

TABLE 1: Organism distribution and sample type from 2016 to 2018.
TABLE 2: Yearly trends in the number of non-fermenting Gram-negative bacilli isolated from 2016 to 2018.

The burden of the Acinetobacter species decreased significantly from 2016 (n = 506, 71%) to 2018 (n = 402, 62%; p = 0.03), whereas the total number of Pseudomonas species showed a significant increase during the same time period (n = 168, 23% and n = 183, 28%, respectively; p = 0.001) (Table 2). Most NFGNB were isolated from surgical (n = 780, 38.9%) and medical wards (n = 705, 35.2%) (Table 3). The overall majority of Acinetobacter species were isolated from the surgical wards (n = 549, 42%), whereas Pseudomonas species were isolated slightly more often from the medical (n = 208, 39%) than the surgical (n = 11, 35.7%) wards. The majority of the S. maltophilia (n = 29, 40%) and B. cepacia (n = 9, 36%) isolates were from the medical wards although the overall numbers were small (Table 3).

TABLE 3: Organisms isolated per ward from 2016 to 2018.
Antimicrobial susceptibility pattern of the non-fermenting Gram-negative bacilli

The antimicrobial susceptibility patterns for all isolates included in the analysis are shown in Table 4. Acinetobacter species showed overall low susceptibility to the antimicrobials tested exhibiting a wide range from 26% for trimethoprim – sulfamethoxazole to 71% for amikacin. There was a high incidence of XDR Acinetobacter species (60%) while the incidence of MDR Acinetobacter species was 5%. The susceptibility for piperacillin-tazobactam was similar from 2016 to 2018 (32.4% and 31%, respectively). The susceptibility rate for ceftazidime decreased by 10% from 2016 to 2018, from 39% to 29%. For cefepime, the susceptibility decreased by 20% from the year 2017 to the year 2018 (51% to 31%) (Figure 1), which was statistically significant (p = 0.003). Carbapenem susceptibilities for Acinetobacter species were 48.2% and 47.5% for surgical wards and 40.9% and 41.3% for medical wards for imipenem and meropenem, respectively. These findings are similar to the findings in the South African surveillance data of A. baumannii complex bacteraemia in 2017 until 2019 where the majority of the patients were paediatrics.30

TABLE 4: Antimicrobial susceptibility testing patterns of non-fermenting Gram-negative bacilli isolated from 2016 to 2018.
FIGURE 1: Antimicrobial susceptibilities to Acinetobacter species per year (2016–2018).

Pseudomonas species were generally more susceptible to the antimicrobials tested than were Acinetobacter species. The susceptibility to the two commonly used antipseudomonal agents, piperacillin-tazobactam and ceftazidime was 83% and 86%, respectively. For the antipseudomonal carbapenems, however, susceptibility was reduced (76% for imipenem and 75% for meropenem) compared to the other antibiotics tested. There was a decline in the susceptibility towards meropenem noted between 2016 (81%) and 2018 (68%), and this was statistically significant (p = 0.012). The highest susceptibility, as for the Acinetobacter species, was demonstrated for amikacin (91%) (Figure 2). The Pseudomonas species had susceptibilities of 80.5% and 78.9% for surgical wards, 74.9% and 72.6% medical wards for imipenem and meropenem, respectively. Neither of these were statistically significant.

FIGURE 2: Antimicrobial susceptibilities to Pseudomonas species per year (2016–2018).

S. maltophilia isolates showed moderate susceptibility to trimethoprim-sulfamethoxazole (TMP-SMX; 75%). Trimethoprim-sulfamethoxazole is the principal agent used for the treatment of clinically significant S. maltophilia infections. There was an increase in the numbers of B. cepacia from 2016 to 2018, but this was not statistically significant (p = 0.45) (Table 2).

The main agents used for the treatment of clinically significant B. cepacia infections showed reduced susceptibility at 58%, 69% and 75% for TMP-SMX, ceftazidime and meropenem, respectively.

Discussion

Multidrug-resistant NFGNB have emerged as important nosocomial organisms. During the 3 years studied, the most common NFGNB isolated at CHBAH from sterile sites in adult patients were Acinetobacter species followed by Pseudomonas species. Poor susceptibility to the commonly used antimicrobials was demonstrated, especially for the Acinetobacter species.

The distribution of organisms noted in this study is comparable to other studies. In South Africa, the national antimicrobial resistance surveillance conducted in 2016 reported on blood cultures from 16 sentinel hospitals in the public sector (including CHBAH); of 2318 NFGNB isolates, 71% were identified as A. baumannii and 29% as P. aeruginosa,31 which is similar to our results (65% and 27%, respectively).

The majority of Acinetobacter species in our study were found in surgical wards. Our analysis showed that among ICU patients, Acinetobacter species were the most commonly isolated NFGNB. Similarly, a study by Ntusi et al.32 in Cape Town assessed adult patients in both surgical and respiratory ICUs and showed that out of 251 patients analysed, 85% of patients were infected and 15% were colonised with A. baumannii, the risk factors for infection being recent surgery and insertion of an endotracheal tube.32 The observation in our study is, therefore, also likely to be due to patients in ICU being mechanically ventilated or having post-surgical or trauma-related wound infections.

We found that most of the Acinetobacter species were isolated from blood culture specimens, as were the other main NFGNB species. In a study by K. Swe Swe-Han et al. looking at the clinical and microbiological characteristics and antibiotic resistance patterns of A. baumannii strains in both ICU and non-ICU patients from sterile and non-sterile sites, blood cultures were also reported as the commonest site of isolation in patients with sepsis (46%).33 A. baumannii, as well as certain other NFGNB colonising patients and CHBAH environment, are not always interpreted as significant pathogens in patients, and clinical characteristics have to be taken into consideration. Even samples obtained from sterile sites may be prone to contamination from the patients’ skin or the environment.

There was a significant decline noted in the number of Acinetobacter species from 2016 to 2018. Hospital management, nurses and doctors focused more on IPC measures during this period. These measures included educating all staff on IPC measures, hand hygiene audits, instituting stringent contact precautions where required, environmental cleaning and screening of contacts of patients infected with MDR or XDR Acinetobacter species. Employing strict IPC measures has been shown to significantly reduce the incidence of A. baumannii infections;34 therefore, improving IPC measures might have contributed to this finding.

The data in the study showed poor susceptibility of Acinetobacter species to imipenem and meropenem (46% and 45% susceptibility, respectively). The susceptibility rates for amikacin and gentamicin also declined from 2017 to 2018. The European Antimicrobial Resistance Surveillance Network (EARS-Net) database reports that in 18 countries surveyed, more than 50% of A. baumannii isolates were non-susceptible to carbapenems and aminoglycosides.35 Recently, the National Institute for Communicable Diseases (NICD) reported on antimicrobial susceptibility patterns of ESKAPE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, A. baumannii, P. aeruginosa, Enterobacter species). Organisms isolated from patients with bacteraemia in South Africa between 2016 and 2018. In this report, it is noted that for A. baumannii isolates from the public sector, there was a decrease in susceptibility for imipenem and meropenem between 2016 (27% and 25%, respectively) and 2017 (both 19%), remaining stable in 2018. The susceptibility rates for amikacin and gentamicin equally decreased between 2016 (44% and 32%, respectively) and 2017 (37% and 23%, respectively).36 Despite the overall decrease in Acinetobacter species over the years as described, these rates and trends are worrying and highlight the limited therapeutic options for A. baumannii locally and globally37; it is particularly concerning as Acinetobacter species was found to be the most prevalent NFGNB in our centre.

Contrary to the Acinetobacter species, there was a significant increase of Pseudomonas species during the study period (23% to 28%) with a slight majority isolated from the medical wards (39%), versus 36% from the surgical wards. The susceptibility rates for Pseudomonas species to the first line antipseudomonal drugs piperacillin-tazobactam and ceftazidime were higher than the carbapenems. Our data show a decrease in susceptibility to imipenem (75% to 71%) and meropenem (81% to 68%) over the study period. The susceptibility rates data obtained from various European countries also show susceptibility to the carbapenems below 50% among P. aeruginosa isolates, considerably lower still than in this study.35 The NICD report on the ESKAPE pathogens from the public sector showed that there were no changes in susceptibilities for this organism to imipenem and meropenem (between 76% and 78%) between the years 2016–2018.36 This higher resistance rate to the carbapenems compared to piperacillin-tazobactam and ceftazidime may have been driven by the widespread use of carbapenems globally.38,39,40

The reduced susceptibility of Acinetobacter and Pseudomonas species to carbapenems described here may be a result of overuse of these agents. Before 2018, carbapenems (imipenem or meropenem) were recommended as empiric therapy for nosocomial bloodstream infections with GNB. The current empiric antimicrobial therapy used at this hospital selected in 2019 is a carbapenem-sparing combination of amikacin and piperacillin-tazobactam. Our findings suggest that this empiric therapy was a reasonable choice for the most common NFGNB in our setting; however, further susceptibility analyses will be needed going forward to determine whether this change has had an impact.

One of the challenges regarding S. maltophilia is its intrinsic antimicrobial resistance to a variety of antimicrobials, especially carbapenems. The overuse of carbapenems is thought to be a driver for selection of S. maltophilia in patients who are heavily immunosuppressed (e.g., neutropenic).31 Although the numbers are minimal, this may explain why this study showed that more S. maltophilia isolates were isolated from the medical wards (n = 29; 39.7%) as these wards include the haematology patients. We were, however, unable to separate out the haematology patients to examine this further as they are often mixed with the non-haematology patients in the ward. The susceptibility to TMP-SMX was only 75% in our analysis. However, it has been shown that there is in vitro synergistic activity in combination with other antimicrobial agents even if TMP-SMX shows resistance.34 At this hospital, combination therapy for TMP-SMX non-susceptible strains is therefore recommended. Antimicrobial susceptibility testing for S. maltophilia poses a challenge as the results are particularly affected by factors such as the method of testing, culture medium, incubation temperature and even the interpretation of results.41 Clinical and Laboratory Standards Institute only provides minimum inhibitory concentration (MIC) breakpoints and not zone diameter breakpoints for ceftazidime and MICs were not available for all the isolates.

The study showed a high incidence of XDR Acinetobacter (60%) and Pseudomonas species (14%). Colistin is sometimes the only option remaining for treatment of infections with these organisms. Due to the increased use of colistin, there has been an emergence of resistance to this agent.42 Colistin has no activity against B. cepacia and some strains of S. maltophilia43 and the slight increase in the number of these isolates shown in this study, albeit not significant, might be due to the increase in the use of colistin to treat infections caused by XDR organisms.44 Additionally, an increase in the number of B. cepacia isolates is considered a possible indication of overuse of broad-spectrum antibiotics.45

There are several limitations to our study. It was a single centre study. Due to the retrospective nature of the analysis, we were unable to confirm any of the laboratory results. The lack of colistin MIC data. As only data from the laboratory database was included, the clinical significance of these isolates could not be ascertained. Even though only isolates from sterile sites were included, it remains challenging to determine whether the isolates were true pathogens or contaminants, particularly because NFGNB are common colonisers in the hospital environment. Occasionally, due to antibiotic disk stock shortages, AST for certain antibiotics was not available and antibiotics that have not been tested cannot be used for patient management. An alternative antibiotic that is susceptible would therefore be recommended. Clinical syndromes associated with NFGNB as well as specific risk factors for these infections were not established. The AST patterns for B. cepacia were analysed despite the CLSI recommendations that organisms with isolates of less than 30 are excluded, and the results should be interpreted with caution. There was a lack of denominator data to report prevalence.

The CLSI and the European Committee on Antimicrobial Susceptibility Testing (EUCAST) recommend using manual broth microdilution (BMD) for colistin susceptibility testing,31 which was conducted at a referral laboratory during the study period. Colistin susceptibility testing by BMD was not performed for the majority of our isolates and was therefore not included. There was no differentiation possible between MDR/XDR Pseudomonas species because of the limitation in the number of antimicrobial classes tested. We also did not have MICs for S. maltophilia and ceftazidime as recommended by the CLSI, so we did not include this in the analysis. A small number of the NFGNB failed to be identified by routine methods available on site (n = 33) and were released as NFGNB. Additional identification methods such as Matrix-assisted laser desorption/ionisation-time of flight (MALDI-TOF) mass spectrometer (MS) may have assisted in these cases.46 Lastly, NFGNB other than the four main species detailed in this analysis were grouped together and included when analysing the AST patterns based on disk diffusion and automated susceptibility results; CLSI does not recommend this, and these results should therefore also be interpreted with caution.

Conclusion

The study showed a considerable burden of MDR and XDR Acinetobacter and Pseudomonas species and an emergence of NFGNB with intrinsic multidrug resistance (S. maltophilia and B. cepacia). The choice of empiric antibiotics remains a challenge due to the variability of organism. The current AST patterns show that the use of piperacillin-tazobactam and amikacin as empiric therapy for nosocomial infections was appropriate during the study period. However, ongoing surveillance is necessary to monitor and support antimicrobial stewardship practices. Improved antibiotic stewardship and infection control practices are needed to ensure rational antibiotic prescribing and slow down the emergence and spread of MDR NFGNB in our healthcare setting.

Acknowledgements

Competing interests

The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.

Authors’ contributions

L.M. and N.V.K. conceptualised the study. S.N. collated and analysed the data and was the primary author. L.M. and N.V.K. assisted with data interpretation and supervised the writing of the article.

Ethical considerations

The study was approved by the Human Research Ethics Committee (Medical) of the University of the Witwatersrand (clearance certificate number M190845).

Funding information

The authors received no financial support for the research, authorship and/or publication of this article.

Data availability

The data that support the findings of this study are available from the National Health Laboratory Services. Data are available from the corresponding author (S.N.) with the permission of National Health Laboratory Services.

Disclaimer

The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of any affiliated agency of the authors.

References

  1. Chou CH, Lai YR, Chi CY, et al. Long-term surveillance of antibiotic prescriptions and the prevalence of antimicrobial resistance in non-fermenting gram-negative bacilli. Microorganisms. 2020;8(3):397. https://doi.org/10.3390/microorganisms8030397
  2. Prioritization of pathogens to guide discovery, research and development of new antibiotics for drug-resistant bacterial infections, including tuberculosis. Geneva: World Health Organization; 2017(WHO/EMP/IAU/2017.12).
  3. Aprameya IV. Non-fermenting gram-negative bacilli (NFGNB) other than pseudomonas. J Acad Clin Microbiol. 2013;15(2):59. https://doi.org/10.4103/0972-1282.124588
  4. Sharan H, Katare N, Pandey A, Bhatambare GS, Bajpai T. Emergence of hospital acquired Carbapenem resistant non-fermenters in teaching institute. J Clin Diagn Res. 2016;10(12):DC20–DC23. https://doi.org/10.7860/JCDR/2016/22607.9020
  5. Ahn Y, Kim JM, Kweon O, et al. Intrinsic resistance of Burkholderia cepacia complex to Benzalkonium chloride. mBio. 2016;7(6):e01716-16. https://doi.org/10.1128/mbio.01716-16
  6. Romão CMCPA, De Faria YN, Pereira LR, Asensi MD. Susceptibility of clinical isolates of multiresistant Pseudomonas aeruginosa to a hospital disinfectant and molecular typing. Mem Inst Oswaldo Cruz. 2005;100(5):541–548. https://doi.org/10.1590/S0074-02762005000500015
  7. Tajeddin E, Rashidan M, Razaghi M, et al. The role of the intensive care unit environment and health-care workers in the transmission of bacteria associated with hospital acquired infections. J Infect Public Health. 2016;9(1):13–23. https://doi.org/10.1016/j.jiph.2015.05.010
  8. Juyal D, Negi V, Prakash R, Shanakarnarayan S, Sharma M, Sharma N. Prevalence of non-fermenting gram negative bacilli and their in vitro susceptibility pattern in a tertiary care hospital of Uttarakhand: A study from foothills of Himalayas. Saudi J Health Sci. 2013;2(2):108. https://doi.org/10.4103/2278-0521.117915
  9. Malini A, Deepa E, Gokul B, Prasad S. Nonfermenting gram-negative bacilli infections in a Tertiary Care Hospital in Kolar, Karnataka. J Lab Physicians. 2009;1(2):62–66. https://doi.org/10.4103/0974-2727.59701
  10. Mudau M, Jacobson R, Minenza N, et al. Outbreak of multi-drug resistant Pseudomonas aeruginosa bloodstream infection in the Haematology Unit of a South African Academic Hospital. PLoS One. 2013;8(3):e55985. https://doi.org/10.1371/journal.pone.0055985
  11. Tanguy M, Kouatchet A, Tanguy B, Pichard É, Fanello S, Joly-Guillou ML. Management of an Acinetobacter baumannii outbreak in an intensive care unit. Méd Mal Infect. 2017;47(6):409–414. https://doi.org/10.1016/j.medmal.2017.06.003
  12. Suarez C, Peña C, Arch O, et al. A large sustained endemic outbreak of multiresistant Pseudomonas aeruginosa: A new epidemiological scenario for nosocomial acquisition. BMC Infect Dis. 2011;11:272. https://doi.org/10.1186/1471-2334-11-272
  13. Krishnan S, Santharam P, Shanmugavadivoo N, Usha B. Prevalence of non-fermenting gram negative bacilli and their antibiotic sensitivity pattern at a Tertiary Care Hospital in Tamilnadu, India. Int J Curr Microbiol App Sci. 2018;7(2):2751–2758. https://doi.org/10.20546/ijcmas.2018.702.335
  14. McGowan JE. Resistance in nonfermenting gram-negative bacteria: Multidrug resistance to the maximum. Am J Infect Cont. 2006;34(5):S29–S37. https://doi.org/10.1016/j.ajic.2006.05.226
  15. Vila J, Pachón J. Acinetobacter baumannii resistant to everything: What should we do? Clin Microbiol Infect. 2011;17(7):955–956. https://doi.org/10.1111/j.1469-0691.2011.03566.x
  16. Von Knorring N, Nana T, Chibabhai V. Cumulative antimicrobial susceptibility data for a tertiary-level paediatric oncology unit in Johannesburg, South Africa. S Afr J Oncol. 2019;3:8. https://doi.org/10.4102/sajo.v3i0.65
  17. Soni M, Kapoor G, Perumal N, Chaurasia D. Emergence of multidrug-resistant non-fermenting gram-negative bacilli in a Tertiary Care Teaching Hospital of Central India: Is Colistin resistance still a distant threat? Cureus [Internet]. 2023;15(5):e39243. https://doi.org/10.7759/cureus.39243
  18. Plüss-Suard C, Pannatier A, Kronenberg A, Mühlemann K, Zanetti G. Impact of antibiotic use on Carbapenem resistance in Pseudomonas aeruginosa: Is there a role for antibiotic diversity? Antimicrob Agents Chemother. 2013;57(4):1709–1713. https://doi.org/10.1128/AAC.01348-12
  19. Friedman ND, Temkin E, Carmeli Y. The negative impact of antibiotic resistance. Clin Microbiol Infect. 2016;22(5):416–422. https://doi.org/10.1016/j.cmi.2015.12.002
  20. GERMS-SA Annual report 2018 [homepage on the Internet]. [cited 2020 Aug 12]. Available from: https://www.nicd.ac.za/wp-content/uploads/2019/11/GERMS-SA-AR-2018-Final.pdf
  21. Hindler JF, Stelling J. Analysis and presentation of cumulative antibiograms: A new consensus guideline from the Clinical and Laboratory Standards Institute. Clin Infect Dis. 2007;44(6):867–873. https://doi.org/10.1086/511864
  22. Black A, Sitas F, Chibrawara T, Gill Z, Kubanje M, Williams B. HIV-attributable causes of death in the medical ward at the Chris Hani Baragwanath Hospital, South Africa. PLoS One. 2019;14(5):e0215591. https://doi.org/10.1371/journal.pone.0215591
  23. Zapantis A, Lacy MK, Horvat RT, et al. Nationwide antibiogram analysis using NCCLS M39-A guidelines. J Clin Microbiol. 2005;43(6):2629–2634. https://doi.org/10.1128/JCM.43.6.2629-2634.2005
  24. Identifying Healthcare-associated Infections (HAI) for NHSN Surveillance. Available from: https://www.cdc.gov/nhsn/PDFs/pscManual/2PSC_IdentifyingHAIs_NHSNcurrent.pdf
  25. CLSI. Analysis and presentation of cumulative antimicrobial susceptibility test data. 5th ed. CLSI guideline M39. PA: Clinical and Laboratory Standards Institute; 2022.
  26. CLSI. Performance standards for antimicrobial susceptibility testing. 26th ed. CLSI supplement M100S. Wayne, PA: Clinical and Laboratory Standards Institute; 2016.
  27. CLSI. Performance standards for antimicrobial susceptibility testing. 27th ed. CLSI supplement M100. Wayne, PA: Clinical and Laboratory Standard Institute; 2017.
  28. CLSI. Performance standards for antimicrobial susceptibility testing. 28th ed. CLSI supplement M100. Wayne, PA: Clinical and Laboratory Standards Institute; 2018.
  29. Magiorakos AP, Srinivasan A, Carey RB, 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(3):268–281. https://doi.org/10.1111/j.1469-0691.2011.03570.x
  30. Perovic O, Duse A, Chibabhai V, et al. Acinetobacter baumannii complex, national laboratory-based surveillance in South Africa, 2017 to 2019. PLoS One. 2022;17(8):e0271355. https://doi.org/10.1371/journal.pone.0271355
  31. Perovic O, Ismail H, Schalkwyk EV. Antimicrobial resistance surveillance in the South African public sector. S Afr J Infect Dis. 2018;33(4):118–129. https://doi.org/10.1080/23120053.2018.1469851
  32. Ntusi NBA, Badri M, Khalfey H, et al. ICU-associated Acinetobacter baumannii colonisation/infection in a high HIV-prevalence resource-poor setting. PLoS One. 2012;7(12):e52452. https://doi.org/10.1371/journal.pone.0052452
  33. Swe Swe-Han K, Mlisana KP, Pillay M. Analysis of clinical and microbiological data on Acinetobacter baumannii strains assist the preauthorization of antibiotics at the patient level for an effective antibiotic stewardship program. J Infect Public Health. 2017;10(5):608–616. https://doi.org/10.1016/j.jiph.2017.01.014
  34. Poulos CD, Matsumura SO, Willey BM, Low DE, McGeer A. In vitro activities of antimicrobial combinations against Stenotrophomonas (Xanthomonas) maltophilia. Antimicrob Agents Chemother. 1995;39(10):2220–2223. https://doi.org/10.1128/AAC.39.10.2220
  35. Akova M. Epidemiology of antimicrobial resistance in bloodstream infections. Virulence. 2016;7(3):252. https://doi.org/10.1080/21505594.2016.1159366
  36. Husna Ismail, Olga Perovic. Overview of antimicrobial susceptibility patterns of ESKAPE organisms isolated from patients with bacteraemia in South Africa, 2016 – 2018. Available from: https://www.nicd.ac.za/wp-content/uploads/2020/06/OVERVIEW-OF-ANTIMICROBIAL-SUSCEPTIBILITY-PATTERNS-OF-ESKAPE-ORGANISMS-ISOLATED-FROM-PATIENTS-WITH-BACTERAEMIA-IN-SOUTH-AFRICA-2016-%E2%80%93-2018.pdf
  37. Isler B, Doi Y, Bonomo RA, Paterson DL. New treatment options against carbapenem-resistant Acinetobacter baumannii infections. Antimicrob Agents Chemother. 2019;63(1):e01110-18. https://doi.org/10.1128/aac.01110-18
  38. Buehrle DJ, Shields RK, Clarke LG, Potoski BA, Clancy CJ, Nguyen MH. Carbapenem-resistant Pseudomonas aeruginosa bacteremia: Risk factors for mortality and microbiologic treatment failure. Antimicrob Agents Chemother. 2017;61(1):e01243-16. https://doi.org/10.1128/aac.01243-16
  39. McDougall DAJ, Morton AP, Playford EG. Association of ertapenem and antipseudomonal carbapenem usage and carbapenem resistance in Pseudomonas aeruginosa among 12 hospitals in Queensland, Australia. J Antimicrob Chemother. 2013;68(2):457–460. https://doi.org/10.1093/jac/dks385
  40. Castanheira M, Deshpande LM, Costello A, Davies TA, Jones RN. Epidemiology and carbapenem resistance mechanisms of carbapenem-non-susceptible Pseudomonas aeruginosa collected during 2009–11 in 14 European and Mediterranean countries. J Antimicrob Chemother. 2014 Jul 1;69(7):1804–1814. https://doi.org/10.1093/jac/dku048
  41. Brooke JS. Stenotrophomonas maltophilia: An emerging global opportunistic pathogen. Clin Microbiol Rev. 2012;25(1):2–41. https://doi.org/10.1128/CMR.00019-11
  42. Dortet L, Potron A, Bonnin RA, et al. Rapid detection of colistin resistance in Acinetobacter baumannii using MALDI-TOF-based lipidomics on intact bacteria. Sci Rep. 2018;8(1):16910. https://doi.org/10.1038/s41598-018-35041-y
  43. Linden PK, Kusne S, Coley K, Fontes P, Kramer DJ, Paterson D. Use of parenteral colistin for the treatment of serious infection due to antimicrobial-resistant Pseudomonas aeruginosa. Clin Infect Dis. 2003;37(11):e154–e160. https://doi.org/10.1086/379611
  44. Perovic O, Ismail H, Quan V, et al. Carbapenem-resistant enterobacteriaceae in patients with bacteraemia at tertiary hospitals in South Africa, 2015 to 2018. Eur J Clin Microbiol Infect Dis. 2020;39(7):1287–1294. https://doi.org/10.1007/s10096-020-03845-4
  45. Matthaiou DK, Chasou E, Atmatzidis S, Tsolkas P. A case of bacteremia due to Burkholderia cepacia in a patient without cystic fibrosis. Respir Med CME. 2011;4(3):144–145. https://doi.org/10.1016/j.rmedc.2010.11.002
  46. Hou TY, Chiang-Ni C, Teng SH. Current status of MALDI-TOF mass spectrometry in clinical microbiology. J Food Drug Anal. 2019;27(2):404–414. https://doi.org/10.1016/j.jfda.2019.01.001

Appendix 1

TABLE 1-A1: Other non-fermenting Gram-negative bacilli.


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