Literature DB >> 34882052

Clinical outcomes, molecular epidemiology and resistance mechanisms of multidrug-resistant Pseudomonas aeruginosa isolated from bloodstream infections from Qatar.

Mazen A Sid Ahmed1,2, Jemal M Hamid1, Ahmed A Husain3,4, Hamad Abdel Hadi3,4, Sini Skariah5, Ali A Sultan5, Emad Bashir Ibrahim1,6, Abdul Latif Al Khal3,4, Bo Soderquist7, Jana Jass2, Ali S Omrani3,4.   

Abstract

BACKGROUND: Bloodstream infections (BSIs) caused by multidrug-resistant (MDR)-Pseudomonas aeruginosa are associated with poor clinical outcomes, at least partly due to delayed appropriate antimicrobial therapy. The characteristics of MDR-P. aeruginosa bloodstream isolates have not been evaluated in Qatar. Our study aimed to examine in vitro susceptibility, clinical and molecular characteristics, and mechanisms of resistance of MDR-P. aeruginosa bloodstream isolates from Qatar.
MATERIALS AND METHODS: We included all MDR-P. aeruginosa isolated from blood cultures taken between October 2014 and September 2017. Blood cultures were processed using BD BACTEC™ FX automated system. BD Phoenix™ was used for identification, Liofilchem® MIC Test Strips for MIC determination. Whole-genome sequencing was performed using the Illumina-HiSeq-2000.
RESULTS: Out of 362 P. aeruginosa bloodstream isolates, 16 (4.4%) were MDR. The median patient age was 55 years (range 43-81) and all patients presented with septic shock. Most patients received meropenem (12/16) and/or colistin (10/16). Clinical response was achieved in eight patients, and five patients died within 30-days. MDR-P. aeruginosa isolates belonged to 13 different sequence types. All isolates were non-susceptible to cefepime and ciprofloxacin. The most active agents were colistin (16/16) and aztreonam (10/16). Seven isolates produced blaVIM, and four possessed genes encoding extended-spectrum β-lactamases. Aminoglycoside modifying enzymes were present in 15/16, transferable qnr-mediated quinolone resistance gene was detected in 3/16, and the novel ciprofloxacin modifying enzyme CrpP-encoding gene in one isolate.
CONCLUSION: MDR-P. aeruginosa BSIs are relatively uncommon in Qatar but are highly resistant, harbour multiple resistance genes, and are commonly associated with unfavourable clinical outcomes. Colistin was the only agent with consistent activity against the study isolates.Key messagesMDR-P. aeruginosa constituted <5% of P. aeruginosa blood isolates over three years.Typical risk factors for MDR infections were highly prevalent in the study population and overall clinical outcomes are consistent with those previously reported.Colistin was the only agent with consistent antibacterial activity against the study isolates.

Entities:  

Keywords:  Bacteraemia; MDR; Pseudomonas aeruginosa; Qatar

Mesh:

Substances:

Year:  2021        PMID: 34882052      PMCID: PMC8667892          DOI: 10.1080/07853890.2021.2012588

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   4.709


Introduction

Pseudomonas aeruginosa possess a remarkable array of intrinsic and acquired antimicrobial resistance mechanisms, often expressed simultaneously and resulting in multidrug-resistant (MDR) phenotypes [1]. Risk factors for MDR-P. aeruginosa infection includes prior antimicrobial therapy, the presence of indwelling medical devices, neutropenia, mechanical ventilation, and previous gut colonization with MDR-P. aeruginosa [2]. Bloodstream infections (BSIs) caused by MDR-P. aeruginosa are associated with poor clinical outcomes, including prolonged hospitalization, increased healthcare costs, and high mortality [3]. Such outcomes are at least in part due to delayed appropriate antimicrobial therapy and the limited availability of effective treatment options [4]. However, the clinical, microbiological, and molecular characteristics of bloodstream MDR-P. aeruginosa isolates have not been evaluated in Qatar. Our aim was to investigate the clinical characteristics and outcomes of MDR-P. aeruginosa BSIs from Qatar, assess their in-vitro susceptibility, and to investigate their molecular epidemiology and resistance mechanisms.

Materials and methods

Patients were identified prospectively from routine clinical specimens received by the Division of Microbiology at Hamad Medical Corporation (HMC) in Doha, Qatar. The facility provides routine and tertiary diagnostic services for all primary health centres and public hospitals across the whole country. MDR-P. aeruginosa were defined as isolates with in-vitro resistance to ≥1 agent from ≥3 antipseudomonal classes of antimicrobials [5]. Consecutive patients with blood cultures yielding growth of MDR-P. aeruginosa during the period from October 2014 to September 2017 were included. Clinical data were retrieved from the electronic healthcare system. Blood cultures were processed using BD BACTEC™ FX automated system (Becton Dickinson, USA). Bacterial identification and initial antimicrobial susceptibility testing were performed on BD Phoenix™ (Becton, Dickinson and Company, Franklin Lakes, New Jersey, United States). Liofilchem® MIC gradient strips (Liofilchem, Roseto degli Abruzzi, Italy) were used for minimum inhibitory concentration (MIC) determination. Broth microdilution was used for colistin susceptibility testing (ComASP Colistin, Liofilchem, Roseto degli Abruzzi, Italy). Escherichia coli ATCC 25922, E. coli ATCC 35218 and P. aeruginosa ATCC 27853 were used as controls. Clinical Laboratory Standards Institute (CLSI) breakpoints were used to interpret susceptibility results [6]. Intermediate and resistant categories were grouped as non-susceptible for all reported antimicrobial agents.

Whole-genome sequencing and statistical analyses

DNA was sequenced at GATC Service (Eurofins Genomics, Germany) using Illumina HiSeq 2000 system (Illumina, San Diego, California, USA). The genomes were assembled using SPAdes, Version 3.13.0 [7]. Multilocus sequence typing (MLST) of P. aeruginosa isolates was performed on MLST server 1.8 provided [8]. The Comprehensive Antibiotic Resistance Database (CARD), Version 1.2.0 were used to annotate antibiotics resistance genes (ARGs) [9]. The pan-genome tree and the k-mer tree were constructed using NDtree [10,11], while Interactive Tree Of Life was used to display, manipulate, annotate, and visualize the phylogenetic trees [12]. PATRIC RASTtk-enabled Genome Annotation Service was used for the detection and annotation of exotoxin genes [13]. Data were presented as frequency or median and range, as appropriate. Statistical analyses were conducted using IBM SPSS Statistics for Windows, Version 25.0 (IBM Corp, Armonk, NY, USA).

Results

Over the study period, MDR-P. aeruginosa constituted 16 (4.4%) out of 362 episodes of P. aeruginosa bacteraemia. The included isolates were from blood cultures from Hamad General Hospital (12/16), Rumailah Hospital (3/16), and the National Centre for Cancer Care and Research (1/16). No MDR-P. aeruginosa were isolated from blood cultures from other HMC facilities during the study period. The median patient age was 55 years (range 43–81) and the majority were males 93.8% (15/16). Nine patients were in an intensive care unit (ICU) at the time of MDR-P. aeruginosa bacteraemia (Table 1). All patients presented with septic shock and the majority had multiple risk factors for MDR infections, including hospitalization or outpatient hospital attendance within the previous 90 days (15/16), invasive medical devices (13/16), and recent systemic antimicrobial therapy (12/16). The most frequent underlying co-morbidities were diabetes mellitus (11/16), and malignant disease (5/16). Combinations of two or three different antimicrobial agents were used in (10/16) patients. The most commonly used agents were meropenem (12/16), and colistin (10/16). Clinical response was achieved in (8/16) patients, while five patients died of any cause within 30 days of their MDR-P. aeruginosa bacteraemia (Table 2).
Table 1.

Demographics and susceptibility results for patients with MDR-P. aeruginosa bacteraemia.

IsolateIsolation monthAge groupGenderHospitalLocationCIP*ATM*FEP*MEM*CAZ*TZP*GEN*TOB*AMK*C/T*CZA*CST*
PA84Feb-1540–49MaleHGHICU32832322448256256321231
PA123Apr-1540–49MaleHGHInpatient328320.75122564864961.522
PA148May-1540–49MaleHGHInpatient328243263225632161.561
PA183Jul-1540–49MaleNCCCRInpatient32616321225648243224122
PA208Sep-1540–49MaleHGHICU3225625632256256256242562562562
PA212Oct-1540–49MaleHGHICU3225625632256256256322562562562
PA220Oct-1550–59MaleHGHICU32256256322562562562562562562561
PA232Nov-1550–59MaleHGHICU1.58256323225640.7580.7520.5
PA241Dec-1550–59MaleHGHICU312192326166112162
PA263Jan-1650–59MaleRHInpatient88323212641.50.754161
PA420Dec-1650–59MaleRHInpatient1.52425632962560.750.534161
PA447Feb-1760–69MaleRHInpatient3162563248960.750.321.582
PA457Mar-1770–79MaleHGHInpatient3216321.58161.50.7531.582
PA498Jun-1770–79MaleHGHICU41.56432161922566432256161
PA508Jul-1780–89MaleHGHICU83323248482562563212241
PA527Aug-1780–89FemaleHGHICU32625632256256256128256256481

AMK: amikacin; ATM: aztreonam; CAZ: ceftazidime; CIP: ciprofloxacin; CST: colistin; C/T: ceftolozane/tazobactam; CZA: ceftazidime/avibactam; FEP: cefepime; GEN: gentamicin; HGH: Hamad General Hospital; ICU: intensive care unit; MEM: meropenem; MIC: minimum inhibitory concentration; NCCCR: National Centre for Cancer Care and Research; NS: non-susceptible; RH: Rumailah Hospital; S: susceptible; ST: sequence type; TOB: tobramycin; TZP: piperacillin/tazobactam.

*Minimum inhibitory concentration (MIC) in µg/ml, shading indicates P. aeruginosa non-susceptibility to the corresponding antimicrobial agent. Clinical Laboratory Standards Institute (CLSI) breakpoints for susceptibility: CIP ≤1, ATM ≤8, FEP ≤8, MEM ≤2, CAZ ≤8, TZP ≤16, GEN ≤4, TOB ≤4, AMK ≤16, C/T ≤ 4, CZA ≤8 and CST ≤2 µg/ml.

Table 2.

Clinical diagnosis, common associated underlying conditions, and outcome of patients with MDR-P. aeruginosa infections from 4 hospitals in Qatar.

CharacteristicsFrequency (N = 16)
Septic shock16
Hospital acquired infection16
Antimicrobial therapy 
 Amikacin1
 Aztreonam1
 Meropenem12
 Piperacillin/tazobactam3
 Colistin10
Number of antimicrobial agents used
 One6
 Two9
 Three1
Risk factors for MDR-P. aeruginosa infection 
 Extensive health care contacta15
 Invasive deviceb13
 History of antimicrobial exposure within the preceding 90 daysc12
 Isolation of prior susceptible P. aeruginosa9
 History of MDR infection or colonization within prior 90 days9
 Co-infection with other microorganismsd3
Co-existing medical conditions 
 Diabetes mellitus11
 Malignancy5
 End-stage kidney disease3
 Chronic obstructive pulmonary disease3
 Chronic lung disease2
 Organ transplantation1
 Chronic liver disease1
Outcomes 
 Cured8
 Relapsed2
 Died6
 30-Day all-cause mortality5
 90-Day all-cause mortality1

aExtensive health care contact included regular visits to outpatient medical facilities, regular home visit by home care teams, hospitalization within the preceding 90 days, or residency in a long-term care facility.

bInvasive devices included central venous lines, ureteral stent, urinary catheter, surgical drain, endotracheal tube, nephrostomy, nasogastric tube, peritoneal dialysis catheter, or gastrostomy tube.

cAmoxicillin, azithromycin, ceftriaxone, cefuroxime, ciprofloxacin, clindamycin, colistin, doxycycline, ertapenem, levofloxacin, linezolid, metronidazole, co-trimoxazole, teicoplanin, tigecycline, or vancomycin.

dCo-infections were involved the following organisms: Candida glabrata, Klebsiella pneumoniae (extended-spectrum beta-lactamases), or Streptococcus agalactiae.

Demographics and susceptibility results for patients with MDR-P. aeruginosa bacteraemia. AMK: amikacin; ATM: aztreonam; CAZ: ceftazidime; CIP: ciprofloxacin; CST: colistin; C/T: ceftolozane/tazobactam; CZA: ceftazidime/avibactam; FEP: cefepime; GEN: gentamicin; HGH: Hamad General Hospital; ICU: intensive care unit; MEM: meropenem; MIC: minimum inhibitory concentration; NCCCR: National Centre for Cancer Care and Research; NS: non-susceptible; RH: Rumailah Hospital; S: susceptible; ST: sequence type; TOB: tobramycin; TZP: piperacillin/tazobactam. *Minimum inhibitory concentration (MIC) in µg/ml, shading indicates P. aeruginosa non-susceptibility to the corresponding antimicrobial agent. Clinical Laboratory Standards Institute (CLSI) breakpoints for susceptibility: CIP ≤1, ATM ≤8, FEP ≤8, MEM ≤2, CAZ ≤8, TZP ≤16, GEN ≤4, TOB ≤4, AMK ≤16, C/T ≤ 4, CZA ≤8 and CST ≤2 µg/ml. Clinical diagnosis, common associated underlying conditions, and outcome of patients with MDR-P. aeruginosa infections from 4 hospitals in Qatar. aExtensive health care contact included regular visits to outpatient medical facilities, regular home visit by home care teams, hospitalization within the preceding 90 days, or residency in a long-term care facility. bInvasive devices included central venous lines, ureteral stent, urinary catheter, surgical drain, endotracheal tube, nephrostomy, nasogastric tube, peritoneal dialysis catheter, or gastrostomy tube. cAmoxicillin, azithromycin, ceftriaxone, cefuroxime, ciprofloxacin, clindamycin, colistin, doxycycline, ertapenem, levofloxacin, linezolid, metronidazole, co-trimoxazole, teicoplanin, tigecycline, or vancomycin. dCo-infections were involved the following organisms: Candida glabrata, Klebsiella pneumoniae (extended-spectrum beta-lactamases), or Streptococcus agalactiae. The study isolates belonged to 13 different sequence types. The most frequent were ST233 (3/16), and ST357 (2/16) (Figure 1). We detected P. aeruginosa-encoded type III secretion system exotoxins ExoS (9/16), ExoT (15/16), ExoU (6/16), and ExoY (15/16). MDR-P. aeruginosa from all patients who died within 90 days possessed three exotoxin-encoding genes (Table 3).
Figure 1.

Phylogenetic relationship constructed by comparing the core genome of the16 MDR- P. aeruginosa isolates collected from blood stream infection in Qatar between October 2014 and September 2017.

Table 3.

The main P. aeruginosa-encoded exotoxin of the type III secretion system detected in 16 MDR-P. aeruginosa isolates from Qatar.

Isolate numberGene presence (% identity of protein sequences)
ExotoxinexoSexoTexoUexoY
PA84*Yes (100)Yes (99)Yes (98)
PA123Yes (100)Yes (98)Yes (99)
PA148Yes (99)Yes (99)Yes (98)
PA183*Yes (99)Yes (100)Yes (98)
PA208Yes (100)Yes (99)Yes (98)
PA212Yes (100)Yes (99)Yes (98)
PA220Yes (99)Yes (99)Yes (98)
PA232*Yes (99)Yes (99)Yes (99)
PA241Yes (99)Yes (99)Yes (98)
PA263Yes (100)Yes (99)Yes (100)
PA420*Yes (100)Yes (99)Yes (100)
PA447Yes (99)Yes (99)Yes (98)
PA457
PA498Yes (100)Yes (99)Yes (98)
PA508Yes (99)Yes (99)Yes (99)
PA527*Yes (99)Yes (99)Yes (99)

*Patients with these isolates died within 90 days of MDR-P. aeruginosa bacteraemia.

Phylogenetic relationship constructed by comparing the core genome of the16 MDR- P. aeruginosa isolates collected from blood stream infection in Qatar between October 2014 and September 2017. The main P. aeruginosa-encoded exotoxin of the type III secretion system detected in 16 MDR-P. aeruginosa isolates from Qatar. *Patients with these isolates died within 90 days of MDR-P. aeruginosa bacteraemia. Rates of nonsusceptibility were high to cefepime (16/16), ciprofloxacin (16/16), meropenem (14/16), ceftazidime (13/16), and piperacillin/tazobactam (14/16). The highest susceptibility rates were to colistin (16/16) and aztreonam (10/16) (Figure 2).
Figure 2.

Susceptibility patterns of 16 MDR-P. aeruginosa bacteraemia isolates collected from Qatar between October 2014 and September 2017. *Number susceptible (%); †all MIC values are in µg/ml. AMK: amikacin; ATM: aztreonam; CAZ: ceftazidime; CIP: ciprofloxacin; CST: colistin; C/T: ceftolozane/tazobactam; CZA: ceftazidime/avibactam; FEP: cefepime; GEN: gentamicin; MEM: meropenem; MIC: minimum inhibitory concentration; TOB: tobramycin; TZP: piperacillin/tazobactam.

Susceptibility patterns of 16 MDR-P. aeruginosa bacteraemia isolates collected from Qatar between October 2014 and September 2017. *Number susceptible (%); †all MIC values are in µg/ml. AMK: amikacin; ATM: aztreonam; CAZ: ceftazidime; CIP: ciprofloxacin; CST: colistin; C/T: ceftolozane/tazobactam; CZA: ceftazidime/avibactam; FEP: cefepime; GEN: gentamicin; MEM: meropenem; MIC: minimum inhibitory concentration; TOB: tobramycin; TZP: piperacillin/tazobactam. Each isolate possessed 1–7 different β-lactamase genes from all classes, including at least one Pseudomonas-derived cephalosporinase (PDC)-encoding gene. blaOXA-50 was present in the majority (12/16), blaVIM metallo-β-lactamase (MBL) in seven and extended-spectrum β-lactamases (ESBL) in four isolates (Table 4). All but one isolate possessed up to six different genes encoding aminoglycoside modifying enzymes (AMEs). Most common were aminoglycoside phosphotransferases (APH) (15/16) and aminoglycoside nucleotidyltransferases (ANT) (5/16) (Table 4). Only one isolate carried a gene encoding 16S rRNA methyltransferase (Rmt) (Table 5). Fluoroquinolone resistance through topoisomerase mutations gyrA (T83I) predominated (13/16), in addition to mutant genes encoding gyrA (S80I) and parC (S83I) in two isolates, and parE (A473V) in one isolate, as well as transferable qnr genes in three isolates (Table 5). A mutated CrpP (R4K, D7G) gene, which encodes a ciprofloxacin modifying enzyme, was detected in one isolate (Tables 4 and 5). β-lactam resistance through mutated PBP3 (D350N, S357N) and OmpK37 (M70I, M128I) were detected in two isolates (Table 5). The active efflux pumps MexAB-OprM, MexCD-OprJ and MexEF-OprN were present in all the study isolates (Table S1, data supplement file).
Table 4.

Antimicrobial resistance genes detected in sixteen MDR-P. aeruginosa bacteraemia isolated between October 2014 and September 2017.

IsolatesPA84PA123PA148PA183PA208PA212PA220PA232PA241PA263PA420PA447PA457PA498PA508PA527
β-LactamasesShaded cells indicate presence of gene in the isolates (% of identity of protein sequences)
 CARB-3 99.67              
 CTX-M-15    100   100       
 SHV-11    100           
 VEB-9    99.799.7          
 VIM-2   100  100      100100100
 VIM-5    100100          
 PDC-1100         100     
 PDC-3  99.5 99.299.24100    100  100100
 PDC-5 99.75     100 100      
 PDC-7   99    99.5    99.5  
 OXA-4      100       100100
 OXA-10100   99.699.62          
 OXA-5098.8598.09  99.299.2499.2498.8598.8599.2410099.2484.7399.24  
 OXA-114a      98.91       100100
 OXA-486                
 OXA-488  100             
Aminoglycoside modifying enzymes
 AAC(6′)-Ib     100           
 AAC(6′)-II               100100
 aadA 99.62 99.21          99.61  
 aadA2     99.6 100 100     100100
 aadA3  98.48              
 ANT(2′')-Ia 100 100 100100       100  
 ANT(3′')-IIa     99.699.63          
 ANT(4′)-IIb 99.2               
 APH(3′)-IIb 100 98.5198.599.399.2598.8898.8899.2598.8899.2598.51 10098.8898.88
 APH(3′')-Ib 98.8899.2599.6399.6            
 APH(3′)-VIa     96.196.14          
 APH(6)-Id 99.64 99.2899.6            
Ciprofloxacin modifying enzyme
CrpP  96.92             

AAC: aminoglycoside acetyltransferase; ANT: aminoglycoside nucleotidyltransferase; APH: aminoglycoside phosphotransferases; cat: chloramphenicol acetyltransferase; CrpP: ciprofloxacin resistance protein phosphotransferase.

Table 5.

The resistance genes encoding of target modification in the sixteen MDR-P. aeruginosa bacteraemia from Qatar.

Resistance mechanismAffected antimicrobial classIsolate number
PA84PA123PA148PA183PA208PA212PA220PA232PA241PA263PA420PA447PA457PA498PA508PA527
Target alteration
 RmtF aminoglycosides        100%       
 gyrAfluoroquinolonesT83IT83IT83IT83IS80I, T83IT83IT83I S80IT83I T83IT83IT83IT83IT83I
 parC    S83I   S83I       
 parE           A473V    
 PBP3 β-lactams    D350N, S357N   D350N, S357N       
Target protection
 QnrB1 fluoroquinolones    100%   100%       
 QnrS2       100%         
Reduced permeability to antibiotic
  OmpK37 β-lactams    M70I, M128I   M70I, M128I       

Shaded cells indicate presence of gene in the isolates. gyr: DNA gyrase; ParC: DNA topoisomerase IV subunit A; ParE: DNA topoisomerase 4 subunit B; Qnr: quinolone resistance pentapeptide repeat protein; RmtF: 16S rRNA methyltransferase. PBP; penicillin binding protein.

Amino acids: A; alanine, D; aspartic acid, I; isoleucine, M; methionine, N; asparagine, S; serine, T; threonine, V; valine. 100%; the gene is identical.

Antimicrobial resistance genes detected in sixteen MDR-P. aeruginosa bacteraemia isolated between October 2014 and September 2017. AAC: aminoglycoside acetyltransferase; ANT: aminoglycoside nucleotidyltransferase; APH: aminoglycoside phosphotransferases; cat: chloramphenicol acetyltransferase; CrpP: ciprofloxacin resistance protein phosphotransferase. The resistance genes encoding of target modification in the sixteen MDR-P. aeruginosa bacteraemia from Qatar. Shaded cells indicate presence of gene in the isolates. gyr: DNA gyrase; ParC: DNA topoisomerase IV subunit A; ParE: DNA topoisomerase 4 subunit B; Qnr: quinolone resistance pentapeptide repeat protein; RmtF: 16S rRNA methyltransferase. PBP; penicillin binding protein. Amino acids: A; alanine, D; aspartic acid, I; isoleucine, M; methionine, N; asparagine, S; serine, T; threonine, V; valine. 100%; the gene is identical.

Discussion

The present study describes MDR-P. aeruginosa bacteraemia over 3 years in Qatar. The proportion of MDR from all bloodstream isolates was 4.4%. This is small compared with reports from other regions such as Spain and Italy [2,14]. Not surprisingly, co-morbidities were highly prevalent in our patients and all had severe clinical presentations including septic shock [15]. However, our overall mortality was (5/16) at 30-days. Similarly, high mortality rates have been consistently reported with P. aeruginosa bacteraemia [16,17]. Antimicrobial resistance mutations can result in loss of fitness and reduced P. aeruginosa virulence [1]. However, from previous studies of invasive MDR-P. aeruginosa disease the production of potent virulence factors, such as exoU type III secretion system, have been linked to poor clinical outcomes in association with MDR-P. aeruginosa infections, but in the present study all cases of death express common virulence factor genes such as exoT and exoY with variable expressions of exoS and exoU which cannot be reliably linked to mortality (Table 3) [18]. Other important risk factors for mortality in patients with P. aeruginosa bacteraemia include multiple co-morbidity states, critical illness, shock, and older age, all of which were common in our patients [19,20]. Similar to the previous studies, colistin was the only agent with consistent in-vitro activity against MDR-P. aeruginosa bloodstream isolates included in the present study [21,22]. However, the clinical use of colistin is fairly problematic given its toxicity and the continuing uncertainty about its appropriate dosing [23]. The high prevalence of resistance to antipseudomonal β-lactam agents in this study is associated with the presence of class A ESBL (i.e.; blaVEB-9, blaCTX-M-15), MBL, and PDC enzymes. Vietnamese extended-spectrum β-lactamase (VEB) and Verona integron-encoded metallo-β-lactamase (VIM) enzymes are established in P. aeruginosa from our region [24]. blaNDM and blaIMP, both of which are occasionally identified in MDR-P. aeruginosa from our region, were not detected in this study [24,25]. The majority of isolates were susceptible to aztreonam, which is not susceptible to the hydrolytic activity of MBLs or the narrow-spectrum OXA β-lactamases found in this study [26]. Ceftazidime/avibactam and ceftolozane/tazobactam were active against 8/16 MDR-P. aeruginosa isolates reported here. The study pre-dated their availability for clinical use in Qatar and none of the patients in this cohort was treated with these agents. Clinical data on the use of ceftazidime/avibactam and ceftolozane/tazobactam for the treatment of patients with infections caused by MDR-P. aeruginosa are mainly derived from retrospective studies [27,28]. Though the data are encouraging, their utility depends on the local epidemiology and prevailing P. aeruginosa resistance mechanisms [29]. Predictably, neither agent was active against VIM-producing MDR-P. aeruginosa isolates reported here (Tables 1 and 4). All isolates included in this study were resistant to ciprofloxacin. Rates of fluoroquinolone resistance in MDR-P. aeruginosa are usually very high [30]. Fluoroquinolone resistance is predominantly mediated by well-characterized mutations in the gyrA (T83I), parE (A473V), and topoisomerase IV encoding genes, in addition to upregulation of efflux mechanisms [1,31]. Two types of transferable quinolone resistance genes, Qnr and CrpP, were also detected in this study. Qnr-encoding gene confers fluoroquinolone through target protection, while CrpP-mediates antibiotic modification through phosphorylation [32]. A variety of Qnr-encoding genes in P. aeruginosa have been described from multiple countries in the Arabian Peninsula and North Africa [33]. However, to our knowledge, the presence of CrpP-encoding gene in P. aeruginosa isolates from this region has not been previously reported. In-vitro susceptibility of MDR-P. aeruginosa included in this study to aminoglycosides ranged from 31.3% for gentamicin to 43.8% for amikacin. Aminoglycoside resistance is driven mainly through the production of a variety of well-established AME [1]. Considering the antimicrobial agents available for clinical use at the time of the study, five (25%) isolates were only susceptible to colistin and an aminoglycoside. However, the efficacy of monotherapy with either of these for BSIs is questionable; their combined use is associated with an increased risk of toxicity [23]. A wide variety of sequence types were represented in this study’s MDR-P. aeruginosa bloodstream isolates, including the high-risk ST233 and ST357 [34]. Other previously reported high-risk P. aeruginosa clones such as ST235, ST111, and ST175 were notably absent [1].

Conclusions

MDR-P. aeruginosa BSIs are relatively uncommon in Qatar, representing less than 5% of P. aeruginosa blood isolates over three years. Typical risk factors for MDR infections were highly prevalent in the study population and overall clinical outcomes are consistent with those previously reported. Its multiple clinical limitations notwithstanding, colistin was the only agent with consistent antibacterial activity against the study isolates. Alternatives, such as newer β-lactam-β-lactamase inhibitor combinations and aminoglycosides, are active against half of the isolates or less.

Ethical approval

This study was approved by the Research Ethics Committee (Protocol number IRGC-01-51-033) at Hamad Medical Corporation (HMC), Doha, Qatar, with a waiver for informed consent. Click here for additional data file.
  33 in total

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2.  Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance.

Authors:  A-P Magiorakos; A Srinivasan; R B Carey; Y Carmeli; M E Falagas; C G Giske; S Harbarth; J F Hindler; G Kahlmeter; B Olsson-Liljequist; D L Paterson; L B Rice; J Stelling; M J Struelens; A Vatopoulos; J T Weber; D L Monnet
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3.  Multidrug-resistant Pseudomonas aeruginosa bloodstream infections: risk factors and mortality.

Authors:  M Tumbarello; E Repetto; E M Trecarichi; C Bernardini; G De Pascale; A Parisini; M Rossi; M P Molinari; T Spanu; C Viscoli; R Cauda; M Bassetti
Journal:  Epidemiol Infect       Date:  2011-11       Impact factor: 2.451

4.  Identification of carbapenem-resistant Pseudomonas aeruginosa in selected hospitals of the Gulf Cooperation Council States: dominance of high-risk clones in the region.

Authors:  Hosam M Zowawi; Melanie W Syrmis; Timothy J Kidd; Hanan H Balkhy; Timothy R Walsh; Sameera M Al Johani; Reem Y Al Jindan; Mubarak Alfaresi; Emad Ibrahim; Amina Al-Jardani; Jameela Al Salman; Ali A Dashti; Hanna E Sidjabat; Omar Baz; Ella Trembizki; David M Whiley; David L Paterson
Journal:  J Med Microbiol       Date:  2018-04-17       Impact factor: 2.472

5.  Evaluation of fluoroquinolone resistance mechanisms in Pseudomonas aeruginosa multidrug resistance clinical isolates.

Authors:  Maria Rosalia Pasca; Claudia Dalla Valle; Ana Luisa De Jesus Lopes Ribeiro; Silvia Buroni; Maria Cristiana Papaleo; Silvia Bazzini; Claudia Udine; Maria Loreto Incandela; Silvio Daffara; Renato Fani; Giovanna Riccardi; Piero Marone
Journal:  Microb Drug Resist       Date:  2011-07-28       Impact factor: 3.431

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Authors:  Hilmar Wisplinghoff; Tammy Bischoff; Sandra M Tallent; Harald Seifert; Richard P Wenzel; Michael B Edmond
Journal:  Clin Infect Dis       Date:  2004-07-15       Impact factor: 9.079

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Authors:  Thomas Brettin; James J Davis; Terry Disz; Robert A Edwards; Svetlana Gerdes; Gary J Olsen; Robert Olson; Ross Overbeek; Bruce Parrello; Gordon D Pusch; Maulik Shukla; James A Thomason; Rick Stevens; Veronika Vonstein; Alice R Wattam; Fangfang Xia
Journal:  Sci Rep       Date:  2015-02-10       Impact factor: 4.379

8.  CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database.

Authors:  Baofeng Jia; Amogelang R Raphenya; Brian Alcock; Nicholas Waglechner; Peiyao Guo; Kara K Tsang; Briony A Lago; Biren M Dave; Sheldon Pereira; Arjun N Sharma; Sachin Doshi; Mélanie Courtot; Raymond Lo; Laura E Williams; Jonathan G Frye; Tariq Elsayegh; Daim Sardar; Erin L Westman; Andrew C Pawlowski; Timothy A Johnson; Fiona S L Brinkman; Gerard D Wright; Andrew G McArthur
Journal:  Nucleic Acids Res       Date:  2016-10-26       Impact factor: 16.971

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Authors:  Ivica Letunic; Peer Bork
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

10.  Ceftolozane-Tazobactam for the Treatment of Multidrug-Resistant Pseudomonas aeruginosa Infections: A Multicenter Study.

Authors:  Jason C Gallagher; Michael J Satlin; Abdulrahman Elabor; Nidhi Saraiya; Erin K McCreary; Esther Molnar; Claudine El-Beyrouty; Bruce M Jones; Deepali Dixit; Emily L Heil; Kimberly C Claeys; Jon Hiles; Nikunj M Vyas; Christopher M Bland; Jin Suh; Kenneth Biason; Dorothy McCoy; Madeline A King; Lynette Richards; Nicole Harrington; Yi Guo; Saira Chaudhry; Xiaoning Lu; Daohai Yu
Journal:  Open Forum Infect Dis       Date:  2018-10-31       Impact factor: 3.835

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