Scholarly article on topic 'Outbreak of Multi-Drug Resistant Pseudomonas aeruginosa Bloodstream Infection in the Haematology Unit of a South African Academic Hospital'

Outbreak of Multi-Drug Resistant Pseudomonas aeruginosa Bloodstream Infection in the Haematology Unit of a South African Academic Hospital Academic research paper on "Biological sciences"

Share paper
Academic journal
OECD Field of science

Academic research paper on topic "Outbreak of Multi-Drug Resistant Pseudomonas aeruginosa Bloodstream Infection in the Haematology Unit of a South African Academic Hospital"

OPEN 3 ACCESS Freely available online


Outbreak of Multi-Drug Resistant Pseudomonas aeruginosa Bloodstream Infection in the Haematology Unit of a South African Academic Hospital

Maanda Mudau1,3,4, Rachael Jacobson1, Nadia Minenza2, Lazarus Kuonza3,4, Vida Morris5, Heather Engelbrecht5, Mark P. Nicol1,2, Colleen Bamford1,2*

1 Centre for Tropical, Opportunistic and Hospital Infections, National Institute for Communicable Diseases, Johannesburg, South Africa, 2 Division of Medical Microbiology, University of Cape Town, Cape Town, South Africa, 3 South African Field Epidemiology & Laboratory Training Programme, Johannesburg, South Africa, 4School of Health Systems & Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa, 5 Provincial Government of Western Cape Department of Health, Cape Town, South Africa


Objective: To describe an outbreak of multi-resistant Pseudomonas aeruginosa bloodstream infections (MRPA-BSI) that occurred in the haematology ward of a tertiary academic hospital in Cape Town, South Africa, and determine risk factors for acquisition of MRPA-BSI.

Methods:The outbreak investigation included a search for additional cases, review of patient records, environmental and staff screening, molecular typing using pulsed-field gel electrophoresis (PFGE) and Multi-locus sequencing (MLST) and a retrospective case-control study.

Results:Ten MRPA-BSI cases occurred in the haematology ward between January 2010 and January 2011. The case fatality rate was 80%. Staff screening specimens were negative for MRPA and an environmental source was not identified. PFGE showed that 9/10 isolates were related. MLST showed that 3 of these 9 isolates belonged to Sequence type (ST) 233 while the unrelated isolate belonged to ST260.

Conclusion: We have described an outbreak of MRPA-BSI occurring over an extended period of time among neutropenic haematology patients. Molecular typing confirms that the outbreak was predominantly due to a single strain. The source of the outbreak was not identified, but the outbreak appears to have been controlled following intensive infection control measures.

Citation: Mudau M, Jacobson R, Minenza N, Kuonza L, Morris V, et al. (2013) Outbreak of Multi-Drug Resistant Pseudomonas aeruginosa Bloodstream Infection in the Haematology Unit of a South African Academic Hospital. PLoS ONE 8(3): e55985. doi:10.1371/journal.pone.0055985

Editor: Pierre Cornelis, Vrije Universiteit Brussel, Belgium

Received March 6, 2012; Accepted January 8, 2013; Published March 14, 2013

Copyright: © 2013 Mudau et al. 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 author and source are credited.

Funding: Nadia Minenza received financial support from the National Research Foundation, South Africa and from the University of Cape Town, South Africa (both unrestricted educational grants).The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing Interests: The authors have declared that no competing interests exist.

* E-mail:


The burden of nosocomial infection in low and middle income countries has been under-appreciated in the past [1], with the extent and impact of infections due to multi-resistant organisms such as Pseudomonas aeruginosa, in particular being under-estimated [2]. In the absence of well-resourced surveillance systems, outbreak reports can serve to highlight serious pathogens. While such outbreaks are frequently reported in the published literature, relatively few of these reports originate from low income countries.

P. aeruginosa is a common cause of infection among hospitalized patients. It is inherently resistant to certain antibiotics due to a variety of resistance mechanisms. Treatment is further limited by the ability of the organism to rapidly develop additional resistance during treatment [3,4]. Risk factors for P. aeruginosa infection include presence of indwelling devices, admission to an intensive

care unit, prior antibiotic use, length of hospitalization, severe underlying disease and impaired immunity [5,6].

We investigated an outbreak of P. aeruginosa bloodstream infection that occurred in the clinical haematology intensive care unit of a tertiary academic hospital in Cape Town, South Africa. Our report highlights the infection control, and general public health challenges, posed by antimicrobial-resistant organisms in resource-limited settings.



The haematology ward of the tertiary academic hospital is a shared intensive care unit (ICU) with 12 isolation (private) rooms, of which 6 are used by a public sector hospital and 6 by a private hospital. Each room has an attached bathroom, as well as a nursing anteroom. All have High-Efficiency Particulate Air

(HEPA) filters and 5 have a laminar flow system installed to provide protection against airborne pathogens. Access to the ward is controlled and strict infection control procedures are followed.

Each hospital has its own nursing staff. However, various facilities, including the nurses' station and sluice room, as well as staff facilities, such as tea room and change rooms, are shared by the two hospitals. Food is provided to all patients from the kitchen of the private hospital. Medical staff and cleaning staff attached to the public hospital provide services to both groups of patients. In addition to the regular ward staff, temporary nursing staff from nursing agencies is sometimes employed. The ward admits patients with malignant and non-malignant haematological conditions, most of whom have undergone haemopoetic stem cell transplant (HSCT) or are undergoing intensive chemotherapy. These patients are usually highly immuno-compromised and are extremely susceptible to infections. Patients are confined to individual rooms, but do occasionally leave the ward, e.g. to visit the radiology department for investigations.

Differences between the private and public sections of the unit that might impact on the risk of infection include the better nurse: patient ratio in the private sector, the more liberal patient selection criteria in the private sector permitting the treatment of older patients and the use of filgrastim, a granulocyte colony-stimulating factor analogue, to shorten the period of neutropenia post- stem cell transplant in selected high-risk patients in the private sector.

Data Collection

The laboratory database was searched to identify all P. aeruginosa isolates from blood culture specimens from 1 January 2009 until 31 January 2011. Patients with P. aeruginosa isolates found in blood specimens collected during their admission in the haematology ward were identified. The hospital information system and patient folders were reviewed in order to determine the hospitalization history of the cases, demographic characteristics and clinical history. Since the study was conducted as an outbreak investigation, informed consent of patients was not sought on the grounds that a) clinical information was collected solely by retrospective record review b) no additional specimens were collected from patients for study purposes c) all patient identifying data was removed prior to dissemination of results. The study was approved by the Human Research Ethics Committee of the University of Cape Town (Ref: 393/2011) and conducted according to the ethical guidelines and principles of the International Declaration of Helsinki and the Medical Research Council (MRC) guidelines for Good Clinical Practice (GCP).

Staff and Environmental Screening

In November 2010 after a series of meetings and consultations staff members were requested to submit stool specimens to investigate gut colonization with P. aeruginosa and to report any other possible personal sources of MRPA colonization such as chronic otitis externa or any infection around finger nails. Additional samples, such as contact plates from hands that might detect more transient carriage, were not sought from staff because of the delay in detection of the outbreak. Informed consent from staff was not sought as screening of staff for possible carriage of the organism of interest is good clinical practice and an essential part of a public health intervention in this type of outbreak investigation. No specific therapy would have been indicated for staff found to be carrying resistant P. aeruginosa. However, they would have been redeployed to other areas of the hospital temporarily. The employers undertook that no staff member would be financially or otherwise disadvantaged as a result of

testing. No penalties were applied to staff who did not submit specimens.

Because of concerns around the safety of cleaning procedures and because of P. aeruginosa's propensity to survive in moist environments, initial sampling in October 2010 focused on cleaning equipment, water samples and swabs from taps in the patient isolation rooms and from water used in respiratory therapy equipment. Environmental surfaces were swabbed with sterile swabs, pre-moistened in sterile water. Swabs were placed in commercial transport medium and transported rapidly to an on-site laboratory. For collection of water samples, 100 ml of water was collected directly into a commercially-available sterile bottle containing sodium thiosulphate powder for immediate neutralization of residual chlorine.

Microbiological Testing

Microbiology testing was carried out at an on-site accredited microbiology laboratory. The laboratory uses the Bactec 9000 blood culture system (Becton Dickinson, New Jersey), while other specimens are inoculated onto a selection of appropriate agar media. Screening specimens were plated onto McConkey agar supplemented with 4 mg/ml of gentamicin. P. aeruginosa was identified using Vitek 2 (BioMerieux, North Carolina) Gram negative card, supplemented as necessary by phenotypic tests such as oxidase positivity and production of green pigment. Antimicrobial susceptibilities were determined by the Vitek 2 (BioMer-ieux, North Carolina), using the AST-N133 card and interpreted according to Clinical Laboratory Standards Institute (CLSI) criteria [7].The following antibiotics were tested: piperacillin-tazobactam, ceftazidime, cefepime, meropenem, imipenem, cip-rofloxacin, gentamicin, amikacin and colistin. Water samples were processed at the local accredited public health laboratory, according to a standard protocol for detection of P. aeruginosa based on membrane filtration, incubation of the membrane filter in thioglycolate broth for 24 h, and subsequent subculture and identification [8].

Pulsed-field gel electrophoresis was performed and restriction endonuclease digestion of the intact genomic DNA of all isolates was performed in situ using SpeI [9]. Restriction fragments of DNA were separated on a 1% wt/vol agarose gel using a CHEF-DRII GeneNavigator apparatus (Amersham Biosciences, Fairfield, CT, USA) at a pulse time of 5 to 30 s for 20 h at 200 V in 0.5% vol/vol TBE buffer maintained at 14°C. Following staining with ethidium bromide (0.5 mg/ml), the DNA fingerprints were visualized and photographed under UV light. DNA fragment analysis was performed using GelCompar II version 5.1 (Applied maths, St-Martens-Latem, Belgium) and clusters were defined using the Dice coefficient of similarity. Dendrograms were drawn with a position tolerance of 1% and optimization of 1%. A cluster of isolates was defined to include all isolates at greater than 80% similarity in their DNA profiles according to the criteria of Tenover [10].

Multi-locus sequencing (MLST) of seven housekeeping genes (acetyl coenzyme A synthetase acsA, shikimate dehydrogenase aroE , GMP synthase guaA , DNA mismatch repair protein mutL, NADH dehydrogenase I chain C, D nuoD, phosphoenolpyruvate synthase ppsA and anthranilate synthetase component I trpE) was performed on selected isolates spanning the outbreak period according to a previously described method for P. aeruginosa [11]. The MLST database was used to determine allelic profiles for each gene, and the subsequent sequence type, for each of the strains (

Case-Control Study

A retrospective case-control study was conducted to identify potential risk factors for P. aeruginosa bloodstream infection among patients admitted to the unit. Cases identified between 1 December 2009 and 31 January 2011 were compared to patients admitted to the unit over the same period of time who had bloodstream infections due to Gram-negative bacteria other than P. aeruginosa (GN Controls) and to patients who never developed bloodstream infection due to Gram-negative bacteria (Non-GN Controls).

Specific variables that were studied included age, sex, hospital (public or private), length of hospitalization, primary diagnosis at admission, antibiotic use, haemopoetic stem cell transplant (HSCT) and chemotherapy. Antibiotic use was defined as antibiotics used in the 30 days prior to isolation of P. aeruginosa for cases and during any episode of admission in the ward for controls. HSCT was defined as within one year prior to isolation of P. aeruginosa for cases and within one year prior to final discharge from the ward for controls. Chemotherapy was defined as any chemotherapy given during the index admission prior to isolation of P. aeruginosa for cases and chemotherapy during any episode of admission in the ward for controls.

Statistical Analysis

Data management and statistical analysis was done using STATA Intercooled version 11 (StataCorp. 2009. Stata Statistical Software: Release 11. College Station, TX: StataCorp LP). Continuous and discrete variables were summarized by median and interquartile range and were compared between the cases and controls using the Mann-Whitney U test. Categorical variables were summarized by proportions (percentages) and Fischer's exact test was used to test for statistical significance. Odds ratios and their 95% confidence intervals were calculated. Fischer's exact test was used to test for statistical significance. Backward elimination stepwise logistic regression analysis (P-removal: 0.05) was used to identify independent risk factors for P. aeruginosa infection. Variables that were significantly associated with MRPA-BSI at p<0.25 significance level were considered for possible inclusion in the logistic regression model.


Description of the outbreak

This outbreak of MRPA-BSI was detected in October 2010 after two patients who were admitted to the clinical haematology ICU died very rapidly of MRPA-BSI over one weekend. Both patients had been hospitalized for prolonged periods of time and were neutropenic. The initial response to the outbreak was a review of all practices in the ward, specifically maintenance of the environmental infection control system and adherence to basic infection control procedures. In November another three patients developed P. aeruginosa bloodstream infection, two of whom died. The ward was closed in the first week of December and thoroughly cleaned. After reopening one further patient developed MRPA-BSI and died in January 2011. Four additional cases of MRPA-BSI that had occurred prior to detection of the outbreak were identified through a retrospective search of the laboratory database. There were no reported cases of MRPA infection or colonisation in the unit prior to January 2010.

Eight of the cases were female (80%). All the cases were neutropenic at the time of collection of the first blood culture with MRPA. Seven (70%) of the cases had an admission diagnosis of Acute Myeloid Leukemia (AML), one had Acute Lymphoblastic Leukemia (ALL), one had Aplastic Anaemia and one with a B-cell

Lymphoma. Eight of the patients died (CFR = 80%), all within 48 hours of development of MRPA-BSI and despite the initiation of colistin therapy in some patients (given usually at a dose of 3 million units 8 hourly) Most of the patients had prolonged periods of hospitalization (median = 61 days) prior to development of MRPA-BSI. Table 1 gives details of individual patients.Two patients had evidence of MRPA colonisation at other sites, one (case 9) on a skin swab taken from the site of insertion of a vascular catheter four days prior to development of BSI, and one (case 10) from a stool sample taken simultaneously with the detection of BSI. Although weekly stool samples were taken for surveillance purposes from all patients admitted to the haematology ICU, no other patients were colonised with MRPA during the period of the outbreak (December 2009 to January 2011).

One hundred and eighteen patients were admitted to the haematology unit between 1 December 2009 and 31 January 2011 generating a total of 4399 patient-days. Of these patients 26 developed BSIs with Gram-negative bacilli other than P. aeruginosa.

Microbiology Results

In 9 cases the initial P. aeruginosa isolate was resistant to ampicillin, cefuroxime, ceftriaxone, cefepime, ceftazidime, co-amoxiclav, piperacillin-tazobactam, ertapenem, meropenem, im-ipenem gentamicin, amikacin, cotrimoxazole, ciprofloxacin and tigecycline. Two of these 9 isolates had reduced susceptibility to colistin, with MICs of 4 and 8 mg/ml, respectively. The remaining patient (case 2) had multiple isolates over time, with the initial 3 isolates being susceptible only to amikacin, ceftazidime and colistin. Two subsequent isolates from this patient demonstrated a progressive increase in resistance, with the first being susceptible only to ceftazidime and colistin, and the final isolate being susceptible to colistin only.

PFGE analysis shown in Figure 1 revealed that the 9 clinical strains with similar antibiotic resistance profiles were closely related, 8 with greater than 80% similarity, and 1 (Case 3) with 78.9% similarity, while one isolate, Case 2, was unrelated. MLST analysis shown in Table 2 indicated that the isolates from cases 1, 4 and 10 belonged to Sequence Type (ST) 233 while that of Case 2 belonged to ST260 [12] (see Figures S1, S2, S3, S4, S5, S6 and S7 for MLST allele consensus sequences).

Environmental and Staff screening

Twenty six of 51 eligible staff members submitted stool specimens. P. aeruginosa was not identified from any of the submitted specimens. Three specimens contained other probable nosocomially acquired organisms: two ESBL-producing Klebsiella pneumoniae and one multi-resistant Acinetobacter baumannii.

A total of 49 environmental samples and 24 water samples were tested. P. aeruginosa was identified in a single specimen taken from a cleaning mop. The isolate was susceptible to ceftazidime and colistin only, and its PFGE profile differed from the patient isolates.

Case-Control Study

In bivariate analysis MRPA-BSI was associated with hospitalisation longer than 60 days (OR = 60, 95% CI 4.73-2879), AML (OR= 7.8, 95% CI 1.49-51.3) and prior use of amikacin (oR = 0.22, 95% CI 0.04-1.08) and clarithromycin (OR= 12.6, 95% CI 1.16-164.8) when non-GN controls were used. When GN controls were used clarithromycin (OR= 10.7, 95% CI 0.67-584), metronidazole (OR =16.7, 95% CI 1.2-852) and imipenem (OR = 7.77, 95% CI 1.2-57.8) were significantly associated with MRPA-BSI. (See Table 3)

Table 1. Characteristics of patients with Pseudomonas aeruginosa bloodstream infection in a haematology intensive care unit of a tertiary academic hospital in Cape Town, South Africa, January 2010-January 2011.

Patients Hospital Age Sex Diagnosis Length of hospitalisation in unit (days) Date of infection Outcome

Case 1 public 46 M AML 11 03/01/2010 Died

Case 2 private 16 M Aplastic Anaemia 52 28/01/2010 Discharged

Case 3 public 28 F B-cell Lymphoma 70 31/05/2010 Died

Case 4 private 58 F AML 74 23/06/2010 Died

Case 5 private 20 F ALL 105 06/10/2010 Died

Case б public 37 F AML 19 08/10/2010 Died

Case 7 private 48 F AML 29 05/11/2010 Died

Case 8 private 46 F AML 49 21/11/2010 Died

Case 9 public 60 F AML 126 23/11/2010 Discharged

Case 10 public 20 F AML 125 13/01/2011 Died

AML Acute Myeloid Leukemia ALL Acute Lymphoblastic Leukemia. doi:10.1371/journal.pone.0055985.t001

Variables independently associated with MRPA-BSI were AML (OR = 19.5, 95% CI 2.03-187, p-value = 0.01) and prior use of amikacin (OR = 0.06, 95% CI 0.006-0.581, p-value = 0.015) when Non-GN controls were used. When GN controls were used, metronidazole (OR =16.7, 95% 1.56-177, p-value = 0.020) was independently associated with MRPA. (See Table 4)


We report an outbreak of MRPA-BSI infection occurring over a one year period involving 10 immunocompromised patients in a haematology unit of a tertiary hospital in Cape Town. In 9 out of 10 cases the organism was resistant to all antibiotics tested, including carbapenems, and susceptible only to colistin. PFGE analysis showed the 9 isolates to have identical profiles, and this was confirmed with MLST which further indicated that 3 isolates spanning the outbreak period belonged to ST233. Strains belonging to ST233 have been described previously in a Japanese outbreak in 2006-2009 [13] and in a case probably imported to Scandinavia from Ghana [14].

The aim of the outbreak investigation was to identify the source of the outbreak and associated risk factors in order to halt the

spread of MRPA in the ward Fortunately, transmission seems to have been halted by the intervention conducted in December 2010 as the only case of MRPA-BSI after the ward was reopened was a patient previously admitted to the ward before December 2010, who was presumed to have become colonised at that stage.

In general, bloodstream infection with P. aeruginosa among patients with haematological conditions results chiefly from endogenous sources [15]. The striking similarity among the strains isolated from these cases suggests an exogenous common source. Several potential sources for MRPA may exist in a hospital setting, including colonized patients, staff or the environment.

Transmission of multi-resistant organisms from one patient to another may occur by direct contact or indirectly, with formites or healthcare workers as vectors [16-18]. In the current outbreak, direct patient-to-patient transmission was considered unlikely as patients were accommodated in separate isolation rooms and had little or no contact with each other.

Transmission by staff could not be adequately investigated due to the retrospective nature of the investigation. However, screening of staff for long-term gut colonization with MRPA did not reveal any carriers. It should, however, be noted that not all

' ! и 1II ■ t

1 ■ 1111

1 1 1

II 1 1 1 1 Mil H II DI II

si III

Case 6 Case 7 Case 1 Case 8 Case 9 Case 10 Case 5 Case 4 Case 3 Mop Case 2

Figure 1. Dendrogram of clinical and environmental Pseudomonas aeruginosa isolates from outbreak among patients admitted to the haematology intensive care unit of a tertiary academic hospital in Cape Town, South Africa, January 2010-January 2011.


Table 2. Multi-locus sequence typing (MLST) allelic profiles and sequences for five selected Pseudomonas aeruginosa isolates as determined from the MLST database (

MLST alleles

ST Sequence Type


Table 3. Bivariate analysis of risk factors associated with multi-resistant Pseudomonas aeruginosa bloodstream infection among patients admitted to the haematology intensive care unit of a tertiary academic hospital in Cape Town, South Africa, January 2010-January 2011.

Risk Factor Cases Non-GN Controls GN Controls

(n = 10) (n = 61) OR (95% CI) p-Value n = 26 OR (95% CI) p-Value

Female, n (%) 8 (80%) 32 (52.5%) 3.62(0.64-37.11) 0.1036 17 (65.4%) 2.12 (0.311-24.16) 0.3938


Public Hospital, n (%) 5 (50%) 32 (52.5%) 0.91 (0.19-4.38) 0.8853 12 (46.1%) 1.17 (0.21-6.45) 0.836

Cumulative length of hospitalisation longer than 2 months (60 days) 5 (50%) 1 (18%) 60 (4.73-2879.6) <0.0001 8 (30.8%) 2.25 (0.386-12.8) 0.2819


AML, n (%) 7 (70%) 14 (22.9%) 7.8 (1.49-51.3) 0.0025 13 (50%) 2.33 (0.404-16.7) 0.2794

ALL 1 (10%) 7 (11.5%) 0.86 (0.017-8.17) 0.8912 3 (11.5%) 0.85 (0.015-12.4) 0.8953

Aplastic anaemia 1 (10%) 3 (4.92%) 2.15 (0.037-29.98) 0.5183 1 (3.85%) 2.78 (0.032-226.5) 0.4703

Therapeutic Procedure

Bone Marrow Transplant, n (%) 4 (44.4%) 34 (58.6%) 0.56 (0.102-2.95) 0.4245 9 (37.5%) 1.33 (0.205-8.12) 0.7161

Chemotherapy, n (%) 7 (78%) 32 (55.2) 2.84 (0.48-29.9) 0.2008 18 (75%) 1.17 (0.152-14.46) 0.8683

Antibiotic use

Amikacin, n (%) 4 (40%) 46 (75.4%) 0.22 (0.04-1.08) 0.023 16 (61.5%) 0.42 (0.07-2.33) 0.244

Cotrimoxazole, n (%) 1 (10%) 17 (27.9%) 0.29 (0.006-2.4) 0.2286 0 - -

Clarithromycin, n (%) 3 (30%) 2 (3.28%) 12.6 (1.16-164.8) 0.0022 1 (3.85%) 10.7 (0.67-584.1) 0.0253

Metronidazole, n (%) 4 (40%) 16 (26.2%) 1.87 (0.34-9.06) 0.3696 1 (3.85%) 16.7 (1.2-852.1) 0.005

Gentamicin, n (%) 2 (20%) 5 (8.19%) 2.8 (0.226-20.8) 0.2458 5 (19.2%) 1.05 (0.084-8.22) 0.9583

Imipenem, n (%) 7 (70%) 38 (62.3%) 1.41 (0.285-9.26) 0.6392 6 (23.1%) 7.77 (1.2-57.8) 0.0087

Ofloxacin, n (%) 7 (70%) 44 (72.1%) 0.901 (0.179-6.03) 0.8896 20 (76.9%) 0.7 (0.109-5.55) 0.6674

Piperacillin/Tazobactam, n (%) 3 (30%) 34 (55.7%) 0.34 (0.053-1.69) 0.131 6 (23.1%) 1.43 (0.18-9.14) 0.6674

Vancomycin, n (%) 6 (60%) 36 (59%) 1.04 (0.22-5.55) 0.9532 11 (42.3%) 2.04 (0.369-12.2) 0.3409

Non-GN Controls: controls who never developed bloodstream infection due to Gram-negative bacteria. GN Controls: controls who had bloodstream infections due to Gram-negative bacteria other than P. aeruginosa. AML Acute myeloid leukaemia ALL Acute lymphoblastic leukaemia. doi:10.1371/journal.pone.0055985.t003

Table 4. Multivariate analysis of risk factors associated with multi-resistant Pseudomonas aeruginosa bloodstream infections among patients admitted to the haematology intensive care unit of a tertiary academic hospital, in Cape Town, South Africa, January 2010-January 2011.

Control Group Risk Factor Adjusted OR (95% CI) p-Value

AML Acute myeloid leukaemia.

Non-GN Controls patients who never developed bloodstream infection due to Gram-negative bacteria.

GN Controls patients with bloodstream infections due to Gram-negative bacteria other than P. aeruginosa. doi:10.1371/journal.pone.0055985.t004

staff participated in the screening initiative. Additionally, the ward has a high turnover of temporary agency nursing staff who could not be accounted for.

Although none of the patients admitted to the haematology ICU between December 2009 and January 2011 showed evidence of gastro-intestinal colonization with MRPA, adherence to the schedule of weekly stool surveillance samples, as specified by the unit protocol, had been inconsistent during this time.

No environmental source of infection was identified. P. aeruginosa was isolated from only one of 73 environmental specimens collected. This isolate differed from the outbreak strain in both antibiotic resistance and PFGE profiles. Given the time delay between the occurrence of the first cases in January 2010 and the collection of the environmental samples in October of that year, it is possible that an initial environmental source had existed, but had already been eliminated by the time of the screening. One of the drawbacks of the study was that we were unable to narrow our investigations to the particular isolation rooms occupied by patients with MRPA- BSI, since the unit did not keep records of individual room occupancy.

A case-control study was conducted to identify potential risk factors for P. aeruginosa bloodstream infection among patients admitted to the unit. Cases with P. aeruginosa BSI were compared to patients with bloodstream infections due to other Gram-negative bacteria and to patients without Gram-negative bloodstream infection. Potential risk factors identified on multivariate analysis included for the comparison to patients with other Gram negative BSIs, the prior use of metronidazole (OR = 16.7, 95% 1.56-177, p-value = 0.020), and for the comparison to patients without other Gram-negative BSIs, an underlying diagnosis of AML (OR= 19.5, 95% CI 2.03-187, p-value = 0.01). The prior use of amikacin (OR = 0.06, 95% CI 0.006-0.581, p-value = 0.015) appeared to be protective in this latter group (See Table 4).

The findings from the case-control study should be interpreted with caution, given the small number of cases, as well as the fact that data for important variables, such as the severity and duration of neutropenia, were not available. The period of observation for controls was generally much longer than the period of observation for cases and thus observational bias may have led to underestimation of certain exposures among the cases. In addition, control group selection in studies of antimicrobial resistant nosocomial pathogens is complicated and use of inappropriate controls may give misleading results [19].

The haematology ward is specifically designed for maximal protection of vulnerable patients; strict infection control protocols

are in place and access to the ward is strictly controlled. While it is not unusual for multi-resistant pathogens such as MRPA to be sporadically introduced into such units, the infection control procedures in place should contain the infection. Irrespective of the original source of the MRPA outbreak strain and whether it was subsequently transmitted from human or environmental locations, breaches in infection control may have contributed to the sustained spread of this organism over time.

This outbreak occurred in a shared public-private unit where two separate staff groups share a common environment. There was no evidence to suggest that patients from either the public or private side were more likely to become infected. However, being a shared unit did contribute to the complexity of managing the outbreak in that communication with both sectors was constantly required. The case fatality rate during this outbreak was high in comparison to other studies conducted in similar populations [2022]. This was, in part, due to severe underlying immunocompro-mise among the patients, but to a larger extent due to extensive resistance of the MRPA strain. Early initiation of empirical therapy with broad-spectrum antibiotics is associated with reduced mortality among patients with neutropenic sepsis [23-25]. The MRPA strain encountered in this outbreak was resistant to most antibiotics with antipseudomonal activity and infection progressed so rapidly that even early initiation of colistin therapy in the later cases, did not improve the patient outcomes. Further characterisation of the mechanisms contributing to the multi-resistant phenotype of these strains is ongoing.

Given such a resistant organism and a population in whom infection is so severe and progresses so rapidly, emphasis must be put on preventing acquisition and transmission of infection in the first place. Future efforts on dealing with resistant organisms among this patient population must focus on early identification and decolonization/decontamination of potential sources, possibly using routine screening of patients, staff and the environment as a tool.

Although the haematology unit had a policy of regular screening of patients for gut colonization with resistant pathogens, this had not been implemented consistently in the weeks and months preceding the outbreak. This, coupled with the fact that the outbreak was detected 9 months after the first occurrence, indicates the importance of continuous, consistent surveillance of nosocomial infections among high-risk patients. Surveillance for pathogens in such settings should also incorporate molecular methods to support epidemiological data.

In conclusion, we have described an outbreak of MRPA due to a single strain, but were unable to identify the source of the organism. The outbreak appears to have been contained by the temporary closure and cleaning of the ward in December 2010. Poor adherence to infection control may have facilitated transmission of MRPA. It is vital that in future increased resources and effort is available for the strengthening of infection control practices in the hospital concerned.

Outbreaks of nosocomial infections due to drug resistant organisms are an important infection control problem in both developed and limited-resource countries. They contribute to the overall burden of disease and are often associated with high costs and increased mortality. Despite widespread recognition of drug resistant pathogens as a universal problem, few outbreaks of this nature are investigated and reported in low-resourced countries [26-28]. Outbreaks due to drug resistant pathogens may be more likely to occur in middle income countries, where resources allow for the use of broad spectrum antibiotics, but not for adequate infection control and surveillance. As far as we know this is the second published report of a nosocomial outbreak of P. aeruginosa from South Africa, the first having been published in 2002 [29]. Our

report highlights the problem of antimicrobial-resistant organisms and the infection control challenges that they pose in a limited resource setting. It also highlights the need to create capacity for surveillance and investigation of nosocomial outbreaks.

Supporting Information

Figure S1 acsA consensus sequence.

Figure S2 aroE consensus sequence.

Figure S3 guaA consensus sequence.

Figure S4 mutL consensus sequence.

Figure S5 nuoD consensus sequence.

Figure S6 ppsA consensus sequence.

Figure S7 trpE consensus sequence.


The authors would like to acknowledge the following colleagues from the Division of Medical Microbiology, University of Cape Town: Nicolette Riviera, Andrew Whitelaw, Stephen Oliver, Eliya Madikane, as well as Dr Andrew McDonald, clinical haematologist, and the Provincial Government of the Western Cape Department of Health.

Author Contributions

Conceived and designed the experiments: MM RJ CB MN. Performed the experiments: MM RJ NM. Analyzed the data: MM RJ MN CB NM. Contributed reagents/materials/analysis tools: VM HE. Wrote the paper: MM RJ MN LK CB.


1. Allegranzi B, Bagheri Nejad S, Combescure C, Graafmans W, Attar H, et al. (2011) Burden of endemic health-care-associated infection in developing countries: systematic review and meta-analysis. Lancet 377:228—241.

2. Okeke IN, Laxminarayan R, Bhutta ZA, Duse AG, Jenkins P, et al. (2005) Antimicrobial resistance in developing countries. Part I: recent trends and current status. Lancet Infect Dis 5:481^93.

3. Hancock RE, Speert DP (2000) Antibiotic resistance in Pseudomonas aeruginosa: mechanisms and impact on treatment. Drug Resist Updat 3:247— 255.

4. Lambert PA (2002) Mechanisms of antibiotic resistance in Pseudomonas aeruginosa. J R Soc Med 95 Suppl 41:22-26.

5. Harris AD, Perencevich E, Roghmann MC, Morris G, Kaye KS, et al. (2002) Risk factors for piperacillin-tazobactam-resistant Pseudomonas aeruginosa among hospitalized patients. Antimicrob Agents Chemother 46:854-858

6. Joo EJ, Kang CI, Ha YE, Kim J, Kang SJ, et al. (2011) Clinical predictors of Pseudomonas aeruginosa bacteremia among Gram-negative bacterial infections in non-neutropenic patients with solid tumor. J Infect 63:207-214.

7. Clinical and Laboratory Standards Institute (2010) Performance standards for antimicrobial susceptibility testing; twentieth informational supplement. Wayne, Pennsylvania.

8. National Health Laboratory Service Standard Operating Procedure MIC1605v1 (2011) Testing for pathogens in water by membrane filtration method.

9. PulseNetInternational. Available: SiteCollectionDocuments/pfge/5%201_5%202_5%204_PNetStand_Ecoli_ with_Sflexneri.pdf. Accessed 2011 Dec 13.

10. Tenover F, Arbeit R, Goering R, Mickelsen P, Murray B, et al. (1995) Interpreting chromosomal DNA restriction patterns produced by pulsed-field gel electrophoresis: criteria for bacterial strain typing. J Clin Microbiol 33:22332239.

11. Curran B, Jonas D, Grundmann H, Pitt T, Dowson C (2004) Development of a multilocus sequence typing scheme for the opportunistic pathogen Pseudomonas aeruginosa. J Clin Microbiol 42:5644-5649.

12. Jacobson R, Minenza N, Bamford C, Nicol M (2012) VIM-2 metallo-beta-lactamase-producing Pseudomonas aeruginosa causing an outbreak in South Africa. J Antimicrob Chemother 67:1797-8.

13. Tsutsui A, Suzuki S, Yamane K, Matsui M, Konda T, et al. (2011) Genotypes and infection sites in an outbreak of multidrug-resistant Pseudomonas aeruginosa. J Hosp Infect 78:317-322.

14. Samuelsen 0, Toleman M, Sundsfjord A, RydbergJ, Leegaard T, et al. (2010) Molecular epidemiology of metallo-ß-lactamase-producing Pseudomonas aeru-ginosa isolates from Norway and Sweden shows import of international clones and local clonal expansion. Antimicrob Agents Chemother 54:346-352.

15. Tancrede CH, Andremont AO (1985) Bacterial translocation and gram-negative bacteremia in patients with hematological malignancies. J Infect Dis 152:99103.

16. Mayank D, Anshuman M, Singh RK, Afzal A, Baronia AK, et al. (2009) Nosocomial cross-transmission of Pseudomonas aeruginosa between patients in a tertiary intensive care unit. Indian J Pathol Microbiol 52:509—513.

17. Kominos SD, Copeland CE, Grosiak B (1972) Mode of transmission of Pseudomonas aeruginosa in a burn unit and an intensive care unit in a general hospital. Appl Microbiol 23:309-312.

18. Widmer AF, Wenzel RP, Trilla A, Bale MJ, Jones RN, et al. (1993) Outbreak of Pseudomonas aeruginosa infections in a surgical intensive care unit: probable transmission via hands of a health care worker. Clin Infect Dis 16:372-376.

19. Harris A, Samore M, Lipsitch M, Kaye K, Perencevich E, et al. (2002) Control-group selection importance in studies of antimicrobial resistance: examples applied to Pseudomonas aeruginosa, enterococci, and Escherichia coli. Clin Infect Dis 34:1558-63.

20. Cortes JA, Cuervo SI, Urdaneta AM, Potdevin G, Arroyo P, et al. (2009) Identifying and controlling a multiresistant Pseudomonas aeruginosa outbreak in a Latin-American cancer centre and its associated risk factors. Braz J Infect Dis 13:99-103.

21. Micol JB, de Botton S, Guieze R, Coiteux V, Darre S, et al.(2006) An 18-case outbreak of drug-resistant Pseudomonas aeruginosa bacteraemia in hematology patients. Haematologica 91:1134-1138.

22. Engelhart S, Krizek L, Glasmacher A, Fischnaller E, Marklein G, et al. (2002) Pseudomonas aeruginosa outbreak in a haematology-oncology unit associated with contaminated surface cleaning equipment. J Hosp Infect 52:93-98.

23. Schimpff S, Satterlee W, Young VM, Serpick A (1971) Empiric therapy with carbenicillin and gentamicin for febrile patients with cancer and granulocyto-penia. N Engl J Med 284:1061-1065.

24. Schimpff SC (1986) Empiric antibiotic therapy for granulocytopenic cancer patients. Am J Med 80:13-20.

25. Klastersky J (2000) Empirical treatment of sepsis in neutropenic patients. Int J Antimicrob Agents 16:131-133.

26. Pitout JD, Revathi G, Chow BL, Kabera B, Kariuki S, et al. (2008) Metallo-beta-lactamase-producing Pseudomonas aeruginosa isolated from a large tertiary centre in Kenya. Clin Microbiol Infect 14:755-759.

27. Hammami S, Boutiba-Ben Boubaker I, Ghozzi R, Saidani M, Amine S, et al. (2011) Nosocomial outbreak of imipenem-resistant Pseudomonas aeruginosa producing VIM-2 metallo-beta-lactamase in a kidney transplantation unit. Diagn Pathol 6:106.

28. Crespo MP, Woodford N, Sinclair A, Kaufmann ME, Turton J, et al. (2004) Outbreak of carbapenem-resistant Pseudomonas aeruginosa producing VIM-8, a novel metallo-beta-lactamase, in a tertiary care center in Cali, Colombia. J Clin Microbiol 42:5094-5101.

29. Poirel L, Weldhagen GF, De Champs C, Nordmann P (2002) A nosocomial outbreak of Pseudomonas aeruginosa isolates expressing the extended-spectrum beta-lactamase GES-2 in South Africa. J Antimicrob Chemother 49:561-565