Antimicrobial Susceptibility and Resistance Profile of Pseudomonas aeruginosa Isolates from Patients at an Egyptian Hospital
Moustafa M. Saleh1*, Refa't A. Sadeq2, Hemat K. Abdel Latif3, Hisham A. Abbas3, Momen Askoura3
1Department of Microbiology and Immunology, Faculty of Pharmacy, Port Said University,
Port Said 42515, Egypt.
2Department of Microbiology and Immunology, Faculty of Medicine, Port Said University, Egypt.
3Department of Microbiology and Immunology, Faculty of Pharmacy, Zagazig University, Egypt.
*Corresponding Author E-mail: moustafasaleh8090@gmail.com
ABSTRACT:
Pseudomonas aeruginosa is a standout amongst the most hazardous microorganisms of high morbidity and mortality rates especially in debilitated patients with few successful antibiotic choices available due to the rapid dissemination of antimicrobials resistance. Therefore, the present study was intended to examine the susceptibility and resistance pattern of various Pseudomonas aeruginosa clinical isolates taken from patients at an Egyptian hospital against commonly prescribed anti-pseudomonal antibiotics. In the current study, 150 Pseudomonas aeruginosa isolates were recovered from different types of specimens (urine, sputum and wound-burn) and identified using classical standard procedures. The isolates were 44 from urine, 61 from sputum and 45 from burn-wound infections. After identification, all Pseudomonas aeruginosa isolates were subjected to antimicrobial susceptibility test using disc diffusion technique. According to the specimens' type, the antimicrobial susceptibility profile of the tested isolates from urine specimens exhibited the highest susceptibility against colistin sulfate (88.64%) and to a lower extent imipenem (75%). On the other hand, urine isolates showed the highest resistance to piperacillin (22.73%). The isolates from sputum specimens showed the highest susceptibility against colistin sulfate (98.36%) followed by both aztreonam and ciprofloxacin (80.33%) while the same isolates showed the highest resistance to gentamicin (37.79%) and both piperacillin and ceftazidime (22.95%). Finally, the highest susceptibility of the isolates recovered from burn-wound specimens was against colistin sulfate (82.22%) and levofloxacin (75.56%) and the highest resistance was obtained against gentamicin (42.22%) and both piperacillin and ceftazidime (37.78%). In addition, our data revealed that 30% of the isolates tested were found to be multi-drug resistant. In view of the present outcomes, we can infer that despite the fact of the development of multi-drug resistant Pseudomonas aeruginosa strains, which are difficult to be treated, some available antibiotics still able to dominate pseudomonal infections with a reasonable percentage of success, for example, colistin sulfate and quinolones (ciprofloxacin and levofloxacin). At last, it is very important to determine the antimicrobial susceptibility and resistance behavior of Pseudomonas aeruginosa isolates to initiate an effective therapy especially in cases of multi-drug resistant strains.
KEYWORDS: Pseudomonas aeruginosa, Antimicrobial Susceptibility, Antibiotic Resistance, Pseudomonas Infections, Multi-Drug Resistant.
INTRODUCTION:
Pseudomonas aeruginosa is a non-fermentative, aerobic, Gram-negative rod shape microorganism that can occupy the soil and aquatic environments with minimal nourishing needs and high adaptability to numerous ecological unfavorable conditions. It is usually isolated from clinical specimens of hospitalized patients primarily those with suppressed immune defenses and counted as one of the topmost widely disseminated nosocomial and life-threatening health pathogens1,2,3. Pseudomonas aeruginosa is ranked one of the main causatives of plenty of diseases, for example, ventilator associated pneumonia, surgical site, and urinary tract infections4,5. It represents about 12 % of all hospital acquired infections and rated as the first worldwide pathogen causing burn-wound infections which in a lot of cases progress to sepsis resulting in high incidence of burn-wound associated mortality. In addition, Pseudomonas aeruginosa was observed to be the second topmost cause of pneumonia and the fourth topmost cause of urinary tract infections (UTIs) globally,6,7. Worryingly, Pseudomonas aeruginosa infections are highly problematic to be cured due to its natural resistance and the momentous capacity to challenge conventional antibiotic groups8. In addition, it has rapid evolutionary tactics to acquire adaptive resistance towards different antibiotics, bringing about the upgrowth of multi-drug resistant (MDR) strains. MDR Pseudomonas aeruginosa isolates is considered an earnest problem and their infections have turned into a huge threat in numerous countries around the world with limited options of treatment9,10,11. Infections caused by resistant isolates are an issue of great concern as they are accompanied by 3-fold higher mortality rates and 9-fold higher rate of secondary bacteremia12. Since the antibiotic susceptibility profile of Pseudomonas aeruginosa is in continuous change, this study, like many other studies on susceptibility profile, aimed at determining the most proper empirical antimicrobial therapy that can be helpful in the efficacious management of pseudomonal infections. Likewise, these studies will also help in limiting the expansion of antimicrobials resistance that occurs due to the inappropriate use of antibiotics13,14.
MATERIALS AND METHODS:
Collection of specimens:
Clinical specimens from different sources (urine, sputum and wound-burn infections) were taken from patients who admitted to Port Said General Hospital, Port Said, Egypt during the period from May 2016 to December 2016 according to standard procedures15,16. Briefly, sputum specimens were taken by using sterile wide-mouth containers with a secure, tight-fitting cover and requesting patients to cough deeply to produce sputum. Urine specimens were taken from clean-catch midstream urine in sterile, wide-mouth containers. Burn-wound specimens were taken using sterile cotton swabs from the middle of the burn-wound site after swabbing around the burn-wound site with a sterile alcohol swab and then the cotton swabs are added to sterile tryptone soy broth (Oxoid, UK). The specimens were transported and processed immediately at the laboratory of Microbiology and Immunology Department- Faculty of Pharmacy- Port Said University where the study was conducted.
Isolates identification:
Pseudomonas aeruginosa isolates in this study were identified following conventional methods17. Specimens were streaked on nutrient agar (Oxoid, UK) and incubated at 37°C under aerobic conditions for 24 hr. Each colony isolated from nutrient agar was initially examined by Gram-staining. Colonies which appeared as Gram-negative rods were further sub-cultured on MacConkey agar (Oxoid, UK). Pale colonies on MacConkey agar which exhibit non-lactose fermenter isolates were tested by oxidase test, citrate utilization, growth and pigment production on cetrimide agar (Oxoid, UK) and the capability to grow at 42°C which is characteristic for Pseudomonas aeruginosa.
Antibiotic discs used:
All Pseudomonas aeruginosa isolates in this study were tested against standard anti-pseudomonal antibiotic discs including, aztreonam 30 µg (ATM), piperacillin 100 µg (PRL), ceftazidime 30 µg (CAZ), cefepime 30 µg (FEP), ciprofloxacin 5 µg (CIP), levofloxacin 5 µg (LEV), amikacin 30 µg (AK), gentamicin 10 µg (CN), colistin sulfate 10 µg (CT) and imipenem 10 µg (IPM). The anti-pseudomonal discs were procured from (Oxoid, UK).
Antimicrobial susceptibility testing:
The antimicrobial susceptibility testing for the isolates was implemented using the disc diffusion technique as stated by the Clinical Laboratory and Standards Institute (CLSI) guidelines18 against the above mentioned anti-pseudomonal antibiotics. Briefly, well-grown colonies of tested isolate were suspended in 5 ml sterile saline solution and adjusted to match the turbidity of 0.5 MacFarland. This solution was swabbed over the surface of Muller Hinton agar(Oxoid, UK) plates. The plates were swabbed in three directions (the plate was rotated 60º) to ensure equal distribution, and then the anti-pseudomonal discs were placed on the plates surfaces. The plates were incubated aerobically at 37ºC within 30 minutes of preparation for 18 hr. After incubation, the diameter of the inhibition zones was measured and recorded in mm and the results were interpreted according to the diameters in (CLSI)18, Figure 1.
Figure (1): Representative examples of antimicrobial susceptibility test of some tested Pseudomonas aeruginosa isolates.
RESULTS:
Pseudomonas aeruginosa isolates and identification:
A total of 150 positive Pseudomonas aeruginosa isolates were recovered from the patients. All the 150 Pseudomonas aeruginosa isolates were confirmed phenotypically as they all were Gram-negative rods, non-fermenters on MacConkey agar, gave positive oxidase test and positive citrate utilization test and exhibited an ability to grow on cetrimide agar with green pigmentation at 42°C. The distribution of Pseudomonas aeruginosa isolates among different types of specimens is presented in Table 1.
Table (1): Distribution of Pseudomonas aeruginosa isolates among different types of specimens
Specimen type |
Urine |
Sputum |
Burn-wound |
Total No. (%) of all isolates |
Number and percentage of isolates |
44 (29.33%) |
61 (40.67%) |
45 (30%) |
150 (100%) |
Antimicrobial susceptibility and resistance profile:
According to the type of specimens, it was found that the 44 Pseudomonas aeruginosa isolates from urine specimens showed the highest susceptibility against colistin sulfate 39/44 (88.64%), followed by imipenem with susceptibility equal to 33/44 (75%), while the highest resistance of urine isolates was against piperacillin 10/ 44 (22.73%), Table 2. On the other hand, the 61 Pseudomonas aeruginosa isolates from sputum specimens exhibited the highest susceptibility also to colistin sulfate 60/61 (98.36%), followed by both aztreonam and ciprofloxacin with susceptibility equal to 49/61 (80.33%), while the highest resistance of sputum isolates was against gentamicin 20/61 (32.79%) and both piperacillin and ceftazidime 14/61 (22.95%), Table 3. Finally, the 45 Pseudomonas aeruginosa isolates from burn-wound specimens showed the highest susceptibility to colistin sulfate 37/45 (82.22%) followed by levofloxacin with susceptibility equal to 34/45 (75.56%), while the highest resistance of burn-wound specimens was obtained against gentamicin 19/45 (42.22%) and both piperacillin and ceftazidime 17/45 (37.78%), Table 4. Moreover, the resistance behavior of Pseudomonas aeruginosa isolates in this study showed that 45 of the isolates (30%) are MDR (resistant to one antimicrobial agent in at least three different antibiotic groups), Table (5). The antibiotics which showed the highest resistance or the highest sensitivity against the tested isolates are bolded in the tables below.
Table (2): Antimicrobial susceptibility pattern of Pseudomonas aeruginosa isolates from urine specimens.
Susceptibility pattern Antibiotics tested |
No. (%) of resistant isolates (R) |
No. (%) of intermediate isolates (I) |
No. (%) of sensitive isolates (S) |
ATM |
6 (13.64%) |
6 (13.64%) |
32 (72.72%) |
PRL |
10 (22.73%) |
11 (25%) |
23 52.27%) |
CAZ |
4 (9.09%) |
11 (25%) |
29 (65.91%) |
FEP |
3 (6.82%) |
11 (25%) |
30 (68.18%) |
CIP |
5 (11.36%) |
9 (20.46%) |
30 (68.18%) |
LEV |
1 (2.27%) |
13 (29.55%) |
30 (68.18%) |
AK |
4 (9.09%) |
14 (31.28%) |
26 (59.09%) |
CN |
5 (11.36%) |
16 (36.36%) |
23 (52.27%) |
CT |
5 (11.36%) |
0 (0%) |
39 (88.46%) |
IPM |
8 (18.18%) |
3 (6.82%) |
33 (75%) |
Table (3): Antimicrobial susceptibility pattern of Pseudomonas aeruginosa isolates from sputum specimens.
Susceptibility pattern Antibiotics tested |
No. (%) of resistant isolates (R) |
No. (%) of intermediate isolates (I) |
No. (%) of sensitive isolates (S) |
ATM |
4 (6.56%) |
8 (13.11%) |
49 (80.33%) |
PRL |
14 (22.95%) |
11 (18.03%) |
36 (59.02 %) |
CAZ |
14 (22.95%) |
1 (1.64%) |
46 (75.41%) |
FEP |
12 (19.76%) |
4 (6.56%) |
45 (73.77%) |
CIP |
9 (14.75%) |
3 (4.92%) |
49 (80.33%) |
LEV |
12 (19.67%) |
1 (1.64%) |
48 (78.69%) |
AK |
12 (19.67%) |
6 (9.84%) |
43 (70.49%) |
CN |
20 (32.79%) |
1 (1.64%) |
40 (65.57%) |
CT |
1 (1.64%) |
0 (0%) |
60 (98.36%) |
IPM |
9 (14.75%) |
4 (6.56%) |
48 (78.69%) |
Table (4): Antimicrobial susceptibility pattern of Pseudomonas aeruginosa isolates from burn- wound specimens.
Susceptibility pattern Antibiotics tested |
No. (%) of resistant isolates (R) |
No. (%) of intermediate isolates (I) |
No. (%) of sensitive isolates (S) |
ATM |
8 (17.78%) |
7 (15.56%) |
30 (66.67%) |
PRL |
17 (37.78%) |
4 (8.89%) |
24 (53.33%) |
CAZ |
17 (37.78%) |
3 (6.67%) |
25 (55.56%) |
FEP |
15 (33.33%) |
3 (6.67%) |
27 (60%) |
CIP |
5 (11.11%) |
7 (15.56%) |
33 (73.33%) |
LEV |
11 (24.44%) |
0 (0%) |
34 (75.56%) |
AK |
13 (28.89%) |
6 (13.33%) |
26 (57.78%) |
CN |
19 (42.22%) |
5 (11.11%) |
21 (46.67%) |
CT |
8 (17.78%) |
0 (0%) |
37 (82.22%) |
IPM |
13 (28.89%) |
2 (4.44%) |
30 (66.67%) |
Table (5): Resistance pattern of MDR Pseudomonas aeruginosa isolates.
Isolate No. |
Number and names of agents in which each isolate resist |
Isolate No. |
Number and names of agents in which each isolate resist |
P1 |
4 (CAZ, FEP, CN and IPM) |
P24 |
6 (CAZ, FEP, CIP, LEV, AK and CN) |
P2 |
5 (PRL, CAZ, FEP, AK and CT) |
P25 |
4 (ATM, PRL, CAZ and FEP) |
P3 |
7 (PRL, CAZ, FEP, CIP, LEV, AK and CN) |
P26 |
8 (PRL, FEP, CIP, LEV, AK, CN, CT and IPM) |
P4 |
7 (ATM, PRL, CAZ, FEP, AK, CN and IPM) |
P 27 |
5 (CAZ, FEP, LEV, CN and IPM) |
P5 |
7 (ATM, PRL, CAZ, FEP, AK, CN and IPM) |
P28 |
8 (ATM, PRL, FEP, CIP, LEV, AK, CN and IPM) |
P6 |
4 (LEV, AK, CN and IPM) |
P29 |
6 (ATM, PRL, CAZ, FEP, AK and CN) |
P7 |
3 (LEV, CN and CT) |
P30 |
6 (PRL, CAZ, FEP AK, CN and IPM) |
P8 |
7 (ATM, PRL, CAZ, FEP, AK, CN and IPM) |
P31 |
9 (ATM, PRL, CAZ, FEP, CIP, LEV, AK, CN and IPM) |
P9 |
5 (FEP, LEV, CIP, AK and CN) |
P32 |
5 (CAZ, FEP, LEV, CN and IPM) |
P10 |
3 (LEV, CN and CT) |
P33 |
6 (ATM, PRL, CAZ, FEP, AK and CN) |
P11 |
5 (CAZ, FEP, CIP, LEV and CN) |
P34 |
8 (ATM, PRL, FEP, CIP, LEV, AK, CN and IPM) |
P12 |
7 (CAZ, FEP, CIP, LEV, AK, CN and IPM) |
P35 |
7 (ATM, PRL, CAZ, FEP, AK, CN and IPM) |
P 13 |
4 (ATM, PRL, AK and CN) |
P36 |
6 (ATM, PRL, CAZ, FEP, AK and CN) |
P14 |
6 (PRL, CAZ, FEP, AK, CN and IPM) |
P37 |
5 (CAZ, FEP, LEV, CN and IPM) |
P15 |
8 (CAZ, FEP, CIP, LEV, AK, CN, CT and IPM) |
P38 |
7 (ATM, PRL, CAZ, FEP, AK, CN and IPM) |
P16 |
4 (PRL, CAZ, FEP and IPM) |
P39 |
6 (ATM, PRL, CAZ, FEP, AK and CN) |
P17 |
6 (PRL, FEP, CIP, LEV, AK and IPM) |
P40 |
6 (CAZ, FEP, CIP, LEV, AK and CN) |
P18 |
3 (PRL, CAZ and CT) |
P41 |
3 (PRL, CN and IPM) |
P19 |
3 (PRL, CAZ and CT) |
P42 |
8 (ATM, PRL, CAZ, FEP, AK, CN, CT and IPM) |
P20 |
3 (PRL, LEV and AK) |
P43 |
6 (ATM, PRL, CAZ, FEP, CN and IPM) |
P21 |
3 (PRL, CAZ and CN) |
P44 |
6 (ATM, PRL, CAZ, FEP, CN and IPM) |
P22 |
6 (PRL, CAZ, FEP LEV, CN and IPM) |
P45 |
4 (LEV, AK, CN and CT) |
P23 |
5 (ATM, CIP, LEV, CN and IPM) |
|
|
DISCUSSION:
Regardless of the advances achieved in the last decades in the medical care and infection control protocols, Pseudomonas aeruginosa still considered a leading cause of serious human infections which can be frequently isolated from hospitalized patients3,19,20. In the current study, Pseudomonas aeruginosa was isolated from different patients experiencing UTIs, pneumonia and burn-wound injuries. The distribution of Pseudomonas aeruginosa isolates in different studies may vary according to the geographical regions and the hospital from which the specimens were collected because each hospital and health facility has a different environment associated with it6. Increasing antimicrobial resistance has become a major threat around the world as it decreases the effectiveness of antibiotic treatment of microbial disease21,22. The rising resistance rate of Pseudomonas aeruginosa to various anti-pseudomonal agents has been reported worldwide which is a critical therapeutic problem in the handling of infections due to this microorganism6,23. Antimicrobial susceptibility test is conclusive in clinical practice and remains the ideal approach to nominate the most suitable antibiotics for treating Pseudomonas aeruginosa infections in order to control it and decrease the mortality rates12. In our study, Pseudomonas aeruginosa isolates from urine specimens exhibited the highest susceptibility against colistin sulfate (88.64%) and imipenem (75%) while isolates from sputum specimens were highly sensitive to colistin sulfate (98.36%) and to both aztreonam and ciprofloxacin (80.33%). In addition, isolates from burn-wound specimens were highly susceptible to colistin sulfate (82.22%) and levofloxacin (75.56%). Similar results, showing that colistin and quinolones are the drugs of choices for treatment of pseudomonal infections, were reported in several studies performed worldwide. For instance, in a study, it was reported that colistin was the most effective antibiotic against Pseudomonas aeruginosa isolates from urine (93.3%) which is close to our results24. In another study, colistin also showed the highest susceptibility towards Pseudomonas aeruginosa urine isolates (100%) which is in accordance with the present study25. In a similar study, colistin and levofloxacin showed the highest susceptibility of (90.9%) and (60.2%) respectively against Pseudomonas aeruginosa isolates which is close enough to our results26. Numerous factors participated in the spread of MDR isolates in Egypt primarily the increased disaster of antibiotic misuse and biocides27. In the current study, the resistance rate of the isolates from urine was the highest to piperacillin (22.73%), while the isolates from sputum were highly resistant to gentamicin (37.79%) and both piperacillin and ceftazidime (22.95%) and the isolates from burn-wound were also highly resistant to gentamicin (42.22%) and both piperacillin and ceftazidime (37.78%). Earlier studies in Egypt and globally also reported that Pseudomonas aeruginosa isolates were highly resistant to gentamicin, piperacillin and 3rd generation cephalosporins including ceftazidime26,28,29. The MDR rate in this study was 30% which matches the rates reported previously in Egypt which ranged from 30%-56%28,30,31. Other global studies exhibited lower MDR rates; 5.9% in Canada32 and 19% in Germany33. This elevated MDR rate in Egypt in comparison to other countries gives us an alarm to the necessity of the application of rigorous antibiotic prescription strategies. In conclusion, although the high speed of resistance evolving among Pseudomonas aeruginosa and the presence of considerable percentage of MDR strains, Pseudomonas aeruginosa isolates in this study were susceptible to colistin sulfate and with lower degree to the quinolones (ciprofloxacin and levofloxacin) which is a good information for the prescribers in Egypt to give careful consideration in their future rational prescriptions and use of these antibiotics should be the main focus. Although colistin sulfate produced the highest susceptibility results, we suggest the usage of quinolones as the first choice because quinolones have much lower side effects in comparison to colistin sulfate.
CONFLICT Of INTEREST:
The authors declare that they have no conflict of interest.
REFERENCES:
1. Sam Jebaraj A , Gopinath P. Antibacterial Activity of Honey Against Clinical Isolates of Pseudomonas aeruginosa. Research J. Pharm. and Tech 2016; 9(8):1174-1176.
2. Hisham A. Abbas. Inhibition of Virulence of Pseudomonas aeruginosa: A Novel Role of Metronidazole against Aerobic Bacteria. Research J. Pharm. and Tech. 8(12): Dec., 2015; Page 1640-1644.
3. Gellatly L, Hancock W. Pseudomonas aeruginosa, New Insights into Pathogenesis and Host Defenses. Pathogens and Disease. 2013; 67: 159-173.
4. Varshan. R, Dr. Gopinath Prakasam. Detection of blaVIM gene encoding Metallo Beta Lactamase resistance among clinical isolates of Pseudomonas aeruginosa. Research J. Pharm. and Tech 2016; 9(9):1465-1468.
5. Pradeep P. S, Jayshree Nellore. Activity of Liposomal-Oleic Acid on Drug Resistant Strains of Pseudomonas aeruginosa Isolated from Clinical Specimens. Research J. Pharm. and Tech. 2017; 10(7): 2114-2118.
6. Bekele T et al. Pseudomonas aeruginosa Isolates and Their Antimicrobial Susceptibility Pattern among Catheterized Patients at Jimma University Teaching Hospital, Jimma, Ethiopia. BMC Research Notes. 2015; 8: 488.
7. Norbury W et al. Infection in Burns. Surgical Infections. 2016; 17(2): 250-255.
8. Gamal A. A-Ameri, Abdu M. Alkolaibe, Ahmed M. Al-kadassy, Mawhoob N. Alkadasi, Abdubaset A. Zaide. Determination the efficiency of camel's urine against multi-drugs resistant Pseudomonas aeruginosa (MDRPA), isolated from effected burns, wounds and ears. Asian J. Pharm. Res. 5(1): Jan.-Mar. 2015; Page 1-9.
9. Vahdani M et al. Phenotypic Screening of Extended-Spectrum β-lactamase and Metallo β-lactamase in Multidrug-Resistant Pseudomonas aeruginosa from Infected Burns. Annals of Burns and Fire Disasters. 2012; 25: 78-81.
10. Varshitha A , Gopinath P. Detection of blaTEM-1 Gene for ESBL Production among Clinical Isolates of Pseudomonas aeruginosa. Research J. Pharm. and Tech 2016; 9(10):1623-1625.
11. Fysal Yousuf M.A, Gopinath P. Detection of Slime among Clinical Isolates of Staphylococcus aureus and Pseudomonas aeruginosa. Research J. Pharm. and Tech 2016; 9(12): 2094-2096.
12. Mesaros N et al. Pseudomonas aeruginosa: Resistance and Therapeutic Options at The Turn of The New Millennium. Clinical Microbiology and Infection. 2007; 13 (6): 560-587.
13. Sewify M et al. Prevalence of Urinary Tract Infection and Antimicrobial Susceptibility among Diabetic Patients with Controlled and Uncontrolled Glycemia in Kuwait. Journal of Diabetes Research. 2016. doi: org/10.1155/2016/6573215.
14. Manjunath GN et al. Changing Trends in The Spectrum of Antimicrobial Drug Resistance Pattern of Uropathogens Isolated from Hospitals and Community Patients with Urinary Tract Infections in Tumkur and Bangalore. International Journal of Biological and Medical Research. 2 (2); 2011: 504-507.
15. Vandepitte J et al. Basic Laboratory Procedures in Clinical Bacteriology, 2nd ed. World Health Organization, Geneva. 2003.
16. Cheesbraugh M. District Laboratory Practice in Tropical Countries 2nd ed., Part 2, Cambridge University Press, New York, USA. 2006.
17. Koneman EW et al. Colour Atlas and Text Book of Diagnostic Microbiology 6th ed., J.B. Lippincott Co. USA. 2006.
18. CLSI (Clinical Laboratory Standards Institute). Performance Standards for Antimicrobial Susceptibility Testing: Twenty-Fifth Informational Supplement (CLSI document M100-S25). Wayne, PA, USA. 2015.
19. Zeb A et al. Antibiotic Susceptibility Patterns of Pseudomonas aeruginosa in Tertiary Care Hospital. Journal of Entomology and Zoology Studies. 2017; 5 (1): 437-439.
20. Hisham A. Abbas, Fathy M. Serry, Eman M. EL-Masry . Combating Pseudomonas aeruginosa Biofilms by Potential Biofilm Inhibitors. Asian J. Res. Pharm. Sci. 2(2): April-June 2012; Page 66-72.
21. Sreeja M.K, Gowrishankar N.L, Adisha. S, Divya. K.C. Antibiotic Resistance-Reasons and the Most Common Resistant Pathogens – A Review. Research J. Pharm. and Tech. 2017; 10(6): 1886-1890.
22. Aishwarya J. Ramalingam. History of Antibiotics and Evolution of Resistance. Research J. Pharm. and Tech. 8(12): Dec., 2015; Page 1719-1724.
23. Juayang AC et al. Five-year Antimicrobial Susceptibility of Pseudomonas aeruginosa from a Local Tertiary Hospital in Bacolod City, Philippines. Tropical Medicine of Infectious Disease. 2017; 2: 28.
24. Somily AM et al. Antimicrobial Susceptibility Patterns of Multidrug Resistant Pseudomonas aeruginosa and Acinetobacter baumannii against Carbapenems, Colistin, and Tigecycline. Saudi Medical Journal. 2012; 33 (7): 750-755.
25. Anuradha B, afreen U and Praveena M. Evaluation of Antimicrobial Susceptibility Pattern of Pseudomonas aeruginosa with Special Reference to MBL Production in a Tertiary Care Hospital. Global Journal of Medical Research. 2014; 14 (7): 17-22.
26. Saderi H, Owlia P. Detection of Multidrug Resistant (MDR) and Extremely Drug Resistant (XDR) Pseudomonas aeruginosa Isolated from Patients in Tehran, Iran. Iranian Journal of Pathology. 2015; 10 (4): 265-271.
27. Daniel SA et al. Antibiotic Resistance and Its Association with Biocide Susceptibilities among Microbial Isolates in an Egyptian Hospital. The International Arabic Journal of Antimicrobial Agents. 2015; 4: 1-11.
28. Mahmoud AB et al. Prevalence of Multidrug-resistant Pseudomonas aeruginosa in Patients with Nosocomial Infections at a University Hospital in Egypt, with Special Reference to Typing Methods. Journal of Virology & Microbiology. 2013. DOI: 10.5171/2013.290047.
29. Shaikh S et al. Prevalence of Multidrug Resistant and Extended Spectrum Beta-lactamase Producing Pseudomonas aeruginosa in a Tertiary Care Hospital. Saudi Journal of Biological Sciences. 2015; 22: 62-64.
30. Hassuna NA et al. High Prevalence of Multi-drug Resistant Pseudomonas aeruginosa Recovered from Infected Burn Wounds in Children. AC Microbiology. 2015; 6 (4): 1-7.
31. Kadry AA et al. Integron Occurrence is Linked to Reduced Biocide Susceptibility in Multidrug Resistant Pseudomonas aeruginosa. British Journal of Biomedical Sciences. 2017; 74 (2): 78-84.
32. Zhanel GG et al. Prevalence of Antimicrobial-Resistant Pathogens in Canadian Hospitals: Results of the Canadian Ward Surveillance Study (CANWARD 2008). Antimicrobial Agents and Chemotherapy. 2010; 54 (11): 4684-4693.
33. Narten M et al. Susceptibility of Pseudomonas aeruginosa Urinary Tract Isolates and Influence of Urinary Tract Conditions on Antibiotic Tolerance. Current Microbiology. 2012; 64 (1): 7-16.
Received on 05.05.2018 Modified on 31.05.2018
Accepted on 12.06.2018 © RJPT All right reserved
Research J. Pharm. and Tech 2018; 11(8): 3268-3272.
DOI: 10.5958/0974-360X.2018.00601.7