year 16, Issue 2 (March - April 2022)                   Iran J Med Microbiol 2022, 16(2): 134-140 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ghasemshahi S, Ahmadpor M, Booskabadi A, Rezaei H, Poopak B, Hakemi-Vala M. A Six-Month Survey of the Frequency of Extensively Drug-resistant Gram-Negative Bacteria by VITEK 2 System in 2020. Iran J Med Microbiol 2022; 16 (2) :134-140
URL: http://ijmm.ir/article-1-1432-en.html
1- Department of Microbiology, Payvand Clinical and Specialty Laboratory, Tehran, Iran
2- Head of Payvand Clinical and Specialty Laboratory, Tehran, Iran
3- Department of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences (SBMU), Tehran, Iran , mojdeh_hakemi@yahoo.com
Full-Text [PDF 475 kb]   (881 Downloads)     |   Abstract (HTML)  (2241 Views)
Full-Text:   (1041 Views)
Introduction


Many pathogenic bacteria, such as Pseudomonas aeruginosa, Staphylococcus aureus, Enterococcus spp-., and many members of Enterobacteriaceae, namely Escherichia coli, Klebsiella pneumoniae, and Proteus spp. are increasingly developing resistance (1, 2). Because of the importance of drug resistance, the World Health Organization named the year 2011 "Combat Antimicrobial Resistance" to warn about the increase in resistant bacteria worldwide. Such global challenge is elevating rapidly and is life-threatening (3-5). Therefore, different terms are used to categorize these bacteria, such as multiple drug-resistant (MDR), extensively drug-resistant (XDR), and pan-drug resistant (PDR) bacteria (6).
According to the Centers for Disease Control and Prevention and European Center for Disease Prevention and Control, MDR bacteria are resistant to the member of three or more antibiotic families. In addition, XDR is defined as the bacteria resistant to the members of all antibiotic families except one or two families, which are usually old antibiotics. PDR is usually referred to as Mycobacterium tuberculosis, which is resistant to all existing antibiotic families (1, 7). Various studies showed that the early detection of gram-negative infections is crucial because of their life-threatening role and the importance of starting rapid suitable antimicrobial treatment (8, 9).
VITEK 2 is a rapid, fully automated system for bacterial identification and antimicrobial susceptibility test (AST). This system uses a fluorogenic method for bacterial identification and a turbidimetric technique for susceptibility testing using a 64-well card (10). The present study aimed to evaluate the frequency of XDR gram-negative bacteria isolated from different clinical samples in Payvand Clinical and Specialty Laboratory, Tehran, Iran in 2020.


 

Materials and Methods

Sample Collection

 All samples, which were referred to Payvand Clinical and Specialty Laboratory for culture during March 2020-September 2020 (6 months), were inclu-ded in the present study. The demographic data were submitted during sample collection. The information of all patients was kept private during data analysis and manuscript preparation. All the isolated microo-rganisms, including gram-positive and gram-negative bacteria, as well as isolated yeasts, were stored in a -70°C freezer in trypticase soy broth (TSB) with 15% glycerol. But based on the aims of this study only gram negative bacteria were included for further study and the remained were role out.

Bacterial Identification and AST

 Bacterial identification and AST were carried out using an automated VITEK 2 system (BioMerieux, France). In this system, pure cultures are needed for bacterial inoculation preparation. Consequently, different media were used for isolation based on the clinical samples. Sheep blood agar and MacConkey agar (QUELAB, UK) were utilized for urine samples, and blood agar, MacConkey agar, chocolate agar, and Sabouraud dextrose agar (QUELAB, UK) were applied for sputum specimens. In addition, all the four mentioned media and TSB were used for tracheal tube culture (11).
All inoculated plates were incubated at 37ºC for 24 h. Afterward, gram staining was performed, and using two or three pure colonies, a bacterial suspension was prepared by special PBS of the VITEK 2 system from each bacterial sample with turbidity equal to standard 0.5 McFarland (1.5×108 CFU/mL). The OD of bacterial and fungal suspensions by VITEK 2 spectrophotometer must be in the ranges of 0.5-0.63 and 1.8-2.2, respectively. Further dilution was executed for AST based on the manufacturer's protocol. Moreover, especial GP, GN, N240, GN76, AST-STO3, and AST-GP75 cards were used for microbial isolation and AST. According to the protocol, all the bacterial suspen-sions must be used 20 min after preparation. For quality control, standard ATCC bacteria, namely E. coli 25922, K. pneumoniae ATCC700603, and P. aerugin-osa ATCC27853 were injected into the VITEK 2 system simultaneously with the clinical samples.

Confirmation of ESBls Production by Disk Synergy Test

 Flagged samples as extended-spectrum beta-lactamase (ESBLs) producers by VITEK 2 system were confirmed by manual double-disk synergy test (DDST). In order to complete the DDST, a bacterial suspension with 0.5 McFarland turbidity (1.5×108 CFU/mL) was prepared and inoculated to Mueller-Hinton agar. A ceftazidime disk alone and a ceftazidime-clavulanic acid disk were placed by sterile forceps at a distance of 20 mm from the center. All plates were incubated for 24 h at 37ºC. A difference of ≥ 5 mm between the diameter of the zone of inhibition around ceftazidime-clavulanic acid disk versus ceftazidime disk alone was reported as ESBL producer (12-14).

Statistical Analysis

 The frequency of isolated XDR bacteria, as well as resistant and susceptible bacteria, was entered in an excel file and was reported after percentage calculation.

 
 

Results

In the current study, 4125 urine, 34 sputum, and 1 tracheal tube samples were submitted to Payvand Clinical and Specialty Laboratory. We found that 486 urine, 32 sputum, and 1 tracheal tube specimens were positive in culture. The isolated gram-positive and gram-negative bacteria, as well as Candida species are shown in Table 1. We included the gram-negative bacteria for further analysis in this study.
Two different microorganisms were isolated from eight sputum, four urine, and one tracheal tube samples. The isolated bacteria were K. pneuminiae ssp. pneumonia and E. coli from three of four urine samples, in addition to E. coli and P. aeruginosa from the remaining urine specimens. Furthermore, two isolated bacteria from eight sputum samples included P. aeruginosa and C. glabrata from sample one, Steno-trophomonas maltophilia and K. pneumonia from sample two, C. krusei and K. pneumoniae from sample three, P. aeruginosa and K. pneumoniae (ESBL+) from sample four, P. aeruginosa and K. pneumoniae from sample five, E. coli and C. glabrata from sample six, K. pneumoniae and C. albicans from sample seven, and P. aeruginosa and K. pneumonia from sample eight. K. pneumoniae and P. aeruginosa were isolated from the only tracheal tube. The isolated bacteria are listed in Table 1. The results of AST for all gram-negative isolates are demonstrated in Table 2.
Based on the results of VITEK 2 and manual DDST, 123/265 (46.1%) E. coli and 10/78 (12.82%) K. pneumoniae isolates were ESBL-positive, respectively. Moreover, we observed that 31 (7.43%) of gram-negative isolates were XDR, namely (n=18) K. pneumoniae subspecies, (n=3) K. pneumoniae ssp. ozaenae, (n=3) E. coli, 6 P. aeruginosa, and (n=1) A. baumannii. The results of AST are shown in Table 2. Out of 18 isolated K. pneumoniae ssp. pneumonia, 11 and 7 were from urine and sputum samples, respect-tively. All 3 K. pneumoniae ssp. ozaenae were isolated from urine. In addition, 2 and 1 E. coli isolates were from urine and sputum specimens, respectively. It was found that 2 and 6 P. aeruginosa isolates were from urine and sputum samples, respectively. The only A. baumannii isolate was isolated from urine.

 
Table 1. Frequency of isolated bacteria in this study

Isolated organisms/number
Frequency of gram positive bacteria
CoNS MRSA MSSA MR-CoNS F. faecium E. faecalis Enterococcus spp. VRE GBS S. dysgalactea Total
19 9 11 20 2 44 1 5 82 1 194
Frequency of gram negative Enterobacteriaceae
E. coli K.
pneumonia ssp (pneumonia and ozonae)
E. cloacea P. mirabilis P. vulgaris E. aeroginosa E. froundi E. abseniae C. koseri S. marcesence Total
265 78 10 8 1 2 1 1 1 2 369
Gram negative non fermented bacteria
P. aeruginosa Pseudomonas spp. S. paucimobilis A. lowffi A. baummnnii A. hemolyticus S. maltophila Total
46 1 2 1 1 1 3 55
Candida spp.
C. albicans C. glabrata C. parapsilosis Candida spp. Total
21 9 4 7 41

CoNs: Coagulase negative staphylococcus spp, MRSA: methicillin resistance Staphylococcus aureus, MRSS: methicillin susceptible Staphylococcus aureus, MR-CoNS: methicillin resistance coagulase negative staphylococcus spp, VRE: vancomycin resistant enterococcus, GBS: Group B streptococcus
 
Table.2. The results of antimicrobial susceptibility test among XDR isolated bacteria

Antibiotics K. pneumonia ssp pneumonia K. pneumonia ssp ozonae P.
aeruginosa
E. coli Acinetobacter spp
R I S R I S R I S R I S R I S
Ampicillin 100% - - 100% - - 100% - - 100% - - - - -
Aztreonam - - - - - - - - - - - - 100% - -
Piperacillin - - - - - - - - - - - - 100% - -
Piperacilin/ Tazobactam 100% - - 100% - - 100% - - 100% - - 100% - -
cefazolin 100% - - 100% - - 100% - - 100% - -      
Cefoxitin 100% - - 100% - -       100% - -      
Ceftazidime 100% - - 100% - - 100% - - 100% - - 100% - -
Ceftriaxone 100% - - 100% - - - - - 100% - - - - -
Cefepime 100% - - 100% - - 100% - - 100% - - 100% - -
Ertapenem 100% - - 100% - - - - - 100% - -      
imipenem 100% - - 100% - - 100% - - 100% - - 100% - -
Meropenem - - - - - - 80% 30%
UD
- - - 100% - -
Ciprofloxacin 100% - - 100% - - 100% - - 100% - - 100% - -
levofloxacin 100% - - 100% - - 100% - - 100% - - 100% - -
sulfametoxazol/ trimetoprime 100% - - 100% - - - - - 100% - - 100% - -
Tobromycin - - - - - - 100% - - -     100% - -
Gentamicin 58.82% 29.41% 11.76% 100% - - 100% - - 66.6% - 33. 4% - - -
Amikacin 52.9% 29.1% 18%   - 100% 100% - - 66.6% - 33.4% - - -
Nitroforantoin 63% 27% 10% 66.6% 33. 4%
UD
- - - 33.3% 33.4%
UD
33.3% - - -
Ticarcillin/
clavulanate
- - - - - 100% - - - - - 100% - -
Colistin 6% 70.5%
UD
23.5% 33.4 % 66.6%
UD
    100% 66.6%UD - 33.4% - - 100%

S: susceptibility, I: intermediate, R: resistant, UD: undetected

 
 

Discussion

The length of hospitalization and the rising cost of care during infection with resistant organisms, especially MDR organisms, is a global challenge (1,15). The severity of gram-negative infections is usually higher than gram-positive infections, such as bacteremia (16-18). In such situations, an immediate antimicrobial prescription is needed. However, the chance of empirical therapy, which covers most cases, is decreasing because of antimicrobial limitations (19). In the present study, 4125 urine, 34 sputum, and 1 tracheal aspiration tube samples were submitted to Payvand Clinical and Specialty Laboratory for direct examination and microbial culture. Various gram-positive and gram-negative bacteria, as well as yeasts, were isolated. Exclusively the gram-negative bacteria were included for further study in the current investigation. The AST was performed simultaneously with isolation using VITEK 2 system and special cards as mentioned above.
Based on the AST results, 46% of E. coli isolates and 12.82% of K. pneumoniae isolates were ESBL-positive. Furthermore, 31 isolates of gram-negative bacteria were confirmed as XDR, while no PDR was detected. Zhou et al. in 2019 reported that E. coli and K. pneumoniae might be the main gram-negative XDR bacilli (20). Similarly, E. coli and K. pneumoniae were the most frequently isolated gram-negative bacteria in the present investigation. The MDR and XDR gram-negative prosthetic joint infections were evaluated by Papadoulous et al. (21, 22). In their study, the prevalent gram bacilli were E. coli, P. aeruginosa, K. pneumoniae, and Enterobacter spp. However, in the current research, the detected gram-negative bacteria were more variable than the latter study. E. coli, K. pneumoniae, P. aeruginosa, and Enterobacter spp. were similarly reported as the most frequent isolated bacteria from different clinical samples.
In the study performed by Mirzae et al., 3248 clinical samples were collected from the Burns Center of the Northeast of Iran. They observed that 309 cases were culture-positive, with 75 and 234 specimens being positive for P. aeruginosa and A. baumannii, respect-tively. Most samples were from the Burn Intensive Care Unit (ICU) (60.5%) and Burn Wards (20.4%). Moreover, they reported that 16.5% and 15.53% of P. aeruginosa isolates and 74.75% and 73.13% of A. baumannii isolates were MDR and XDR, respectively. Finally, they recommended improving the prevention criteria to inhibit the spreading of XDR bacteria.
It should be noted that sampling in both studies was performed only in one center. The frequency and variation of microbial isolates in the present study were higher than the mentioned research. According to the findings of AST, 52% and 100% of P. aeruginosa isolates were imipenem-resistant in the study cond-ucted by Mirzaie et al. and the current study, respectively. In addition, 62.7% and 100% of P. aeruginosa isolates, as well as 97.4% and 100% of A. baumannii isolates, were ciprofloxacin-resistant in the study by Mirzaei and our study, respectively. How-ever, the frequency of P. aeruginosa and A. baumannii isolates in the current study was lower than the results of Mirzaei et al. Both of these investigations revealed a high resistant rate to imipenem and ciprofloxacin as common antibiotics. Susceptibility to colistin was not assessed in their study, which is one of their limitations (23).
According to Magiorakos A-P et al. study to investigate MDR and PDR bacteria, all or almost all suggested antibiotics in the CLSI protocol should be tested. Similarly, in the current study, all CLSI sugges-ted antibiotics for each isolated bacteria were tested but no PDR (pan drug resistant)bacteria was detected (24).
Different studies showed that the rate of infections with gram-negative bacteria, including Enterobact-eriaceae, A. baumannii, P. aeruginosa, and S. malto-philia is increasing in China and other countries (24-27). Furthermore, gram-negative bacteria were the most frequent bacteria in the ICU, neonatal ICU (NICU), and Cardiac Care Unit of Saudi Arabia hospitals. It was shown that A. baumannii was the most prevalent isolated gram-negative bacteria in this region followed by K. pneumonia, E. coli, and S. maltophilia (25-28). The emergence of XDR bacteria is a global challenge because of limitations in the treatment of these pathogens (25-31). However, E. coli and K. pneumoniae were the most frequently isolated resistant bacteria from a teaching hospital in Sri Lanka and a tertiary care hospital in Nepal (29, 31).
Finally, to understand the accurate frequency of XDR and PDR organisms, multicenter sampling is recommended in future studies. Sampling from only one clinical laboratory was the main limitation of this study. Moreover, we investigated XDR bacteria only among gram-negative bacteria. As a result, a similar evaluation of gram-positive resistant bacteria is also recommended. Such local assessments may deter-mine whether any modifications to treatment guideli-nes are necessary.


 

Conclusion

The rate of XDR bacteria was high in the investigated laboratory in this study. Therefore, accurate screening based on a standard protocol, antimicrobial steward-ship, and surveillance is recommended in different medical centers of Iran. In addition, to decrease antimicrobial resistance, the monitoring of MDR and XDR organisms in all clinical laboratories is recom-mended.

 

Acknowledgment

None.

 

Ethic approval

None.

 

Authors contribution

This study was done in Payvand clinical and Specialty laboratory (a private clinical laboratory), Tehran-Iran, under scientific supervision and management of Dr. Behzad Poopak. The idea and study design was done by Dr. Mojdeh Hakemi-Vala (Ph.D In medical bacter-iology), Dr. Hadi Rezaei (Ph.D In medical bacteriology) and Dr. Behzad Poopak (Ph.D in hematology, Doct-orate in Clinical Laboratory Sciences). Routine samp-ling was done based on the physician’s request and standard protocols. The practical parts including: bacterial isolation, identification and processing of Vitek 2 system was done by MS. Sepideh Ghasemshahi and Mr. Mohammad Ahmadpour under supervision of Dr. Hadi Rezaei, head of department of microbiology, Payvand Clinical and Specialty laboratory. All demo-graphic and practical data registration including age, gender, background diseases and bacterial reports was done by Mrs. Aazam Booskabadi. Data analysis and draft preparation of the recent paper was done by Dr. Mojdeh Hakemi-Vala.

 

Funding

None.
 
 

Conflicts of Interest

There is no any conflict to declare.
 


 

Type of Study: Original Research Article | Subject: Antibiotic Resistance
Received: 2021/08/14 | Accepted: 2022/01/8 | ePublished: 2022/02/10

References
1. Basak S, Singh P, Rajurkar M. Multidrug Resistant and Extensively Drug Resistant Bacteria: A Study. J Pathog. 2016;2016:4065603. [DOI:10.1155/2016/4065603] [PMID] [PMCID]
2. Karaiskos I, Giamarellou H. Multidrug-resistant and extensively drug-resistant Gram-negative pathogens: current and emerging therapeutic approaches. Expert opinion on pharmacotherapy. 2014;15(10):1351-70. [DOI:10.1517/14656566.2014.914172] [PMID] [PMCID]
3. Cohen ML. Changing patterns of infectious disease. Nature. 2000 Aug 17; 406(6797):762-7. [DOI:10.1038/35021206] [PMID]
4. Ahmed Hasanin, Akram Eladawy, Hossam Mohamed , Yasmin Salah, Ahmed Lotfy. Prevalence of extensively drug-resistant gram negative bacilli in surgical intensive care in Egypt. Pan Afric Med J. 2014, 21; 19:177. [DOI:10.11604/pamj.2014.19.177.4307] [PMID] [PMCID]
5. Uc-Cachón AH, Gracida-Osorno C, Luna-Chi IG, Jiménez-Guillermo JG, Molina-Salinas GM. High Prevalence of Antimicrobial Resistance Among Gram-Negative Isolated Bacilli in Intensive Care Units at a Tertiary-Care Hospital in Yucatán Mexico. Medicina (Kaunas). 2019; 55(9):588. [DOI:10.3390/medicina55090588] [PMID] [PMCID]
6. Fitzroy A Orrett. Resistance patterns among selective Gram-negative bacilli from an intensive care unit in Trinidad, West Indies. 2004; 25(4):478-83.
7. Souli M, Galani I, Giamarellou H. Emergence of extensively drug-resistant and pandrug-resistant Gram-negative bacilli in Europe. Euro Surveill. 2008, 20; 13(47):19045. [DOI:10.2807/ese.13.47.19045-en] [PMID]
8. Oliva A, Giacobbe DR, Di Luca M, Miller NS. New insights into infections due to multidrug resistant Gram negative bacteria: The interplay between lab and clinic. BioMed Res Int. 2018 Dec 25;2018. [DOI:10.1155/2018/8905874] [PMID] [PMCID]
9. Teerawattanapong N, Kengkla K, Dilokthornsakul P, Saokaew S, Apisarnthanarak A, Chaiyakunapruk N. Prevention and control of multidrug-resistant gram-negative bacteria in adult intensive care units: a systematic review and network meta-analysis. Clin Infect Dis. 2017 May 15;64(suppl_2):S51-60. [DOI:10.1093/cid/cix112] [PMID]
10. https://www.biomerieux-usa.com/vitek-2
11. Patricia M. Tille. Baily and Scott's Diagnostic microbiology. Elsevier publisher, 14th edition. 2017.
12. Performance Standards for Antimicrobial Susceptibility Testing.30th ed. CLSI supplement M100. Wayne, PA: Clinical and laboratory standards institute: 2020.
13. Alebel M, Mekonnen F, Mulu W. Extended-Spectrum β-Lactamase and Carbapenemase Producing Gram-Negative Bacilli Infections Among Patients in Intensive Care Units of Felegehiwot Referral Hospital: A Prospective Cross-Sectional Study. Infect Drug Resist. 2021;14:391. [DOI:10.2147/IDR.S292246] [PMID] [PMCID]
14. Beyene D, Bitew A, Fantew S, Mihret A, Evans M. Multidrug-resistant profile and prevalence of extended spectrum β-lactamase and carbapenemase production in fermentative Gram-negative bacilli recovered from patients and specimens referred to National Reference Laboratory, Addis Ababa, Ethiopia. PloS one. 2019 Sep 25;14(9):e0222911. [DOI:10.1371/journal.pone.0222911] [PMID] [PMCID]
15. Giuffrè M, Geraci DM, Bonura C, Saporito L, Graziano G, Insinga V, Aleo A, Vecchio D, Mammina C. The increasing challenge of multidrug-resistant gram-negative bacilli: results of a 5-year active surveillance program in a neonatal intensive care unit. Medicine. 2016 Mar;95(10). [DOI:10.1097/MD.0000000000003016] [PMID] [PMCID]
16. Alexandraki I, Palacio C. Gram-negative versus Gram-positive bacteremia: what is more alarmin (g)?. Crit Care. 2010 Jun;14(3):1-2. [DOI:10.1186/cc9013] [PMID] [PMCID]
17. Pop-Vicas AE, D'Agata EM. The rising influx of multidrug-resistant gram-negative bacilli into a tertiary care hospital. Clinical infectious diseases. 2005 Jun 15;40(12):1792-8. [DOI:10.1086/430314] [PMID]
18. Gashaw M, Berhane M, Bekele S, Kibru G, Teshager L, Yilma Y, Ahmed Y, Fentahun N, Assefa H, Wieser A, Gudina EK. Emergence of high drug resistant bacterial isolates from patients with health care associated infections at Jimma University medical center: a cross sectional study. Antimicrob Resist Infect Control. 2018 Dec;7(1):1-8. [DOI:10.1186/s13756-018-0431-0] [PMID] [PMCID]
19. Bassetti M, Peghin M, Vena A, Giacobbe DR. Treatment of infections due to MDR Gram-negative bacteria. Front Med. 2019 Apr 16;6:74. [DOI:10.3389/fmed.2019.00074] [PMID] [PMCID]
20. Zhou L, Feng S, Sun G, Tang B, Zhu X, Song K, Zhang X, Lu H, Liu H, Sun Z, Zheng C. Extensively drug-resistant Gram-negative bacterial bloodstream infection in hematological disease. Infecti Drug Resist. 2019;12:481. [DOI:10.2147/IDR.S191462] [PMID] [PMCID]
21. Nagvekar V, Sawant S, Amey S. Prevalence of multidrug-resistant Gram-negative bacteria cases at admission in a multispeciality hospital. J Glob Antimicrob Resist. 2020 Sep 1;22:457-61. [DOI:10.1016/j.jgar.2020.02.030] [PMID]
22. Papadopoulos A, Ribera A, Mavrogenis AF, Rodriguez-Pardo D, Bonnet E, Salles MJ, Del Toro MD, Nguyen S, Blanco-García A, Skaliczki G, Soriano A. Multidrug-resistant and extensively drug-resistant Gram-negative prosthetic joint infections: Role of surgery and impact of colistin administration. Int J Antimicrob Agents. 2019;53(3):294-301. [DOI:10.1016/j.ijantimicag.2018.10.018] [PMID]
23. Mirzaei B, Bazgir ZN, Goli HR, Iranpour F, Mohammadi F, Babaei R. Prevalence of multi-drug resistant (MDR) and extensively drug-resistant (XDR) phenotypes of Pseudomonas aeruginosa and Acinetobacter baumannii isolated in clinical samples from Northeast of Iran. BMC Res Notes. 2020 Dec;13(1):1-6. [DOI:10.1186/s13104-020-05224-w] [PMID] [PMCID]
24. Magiorakos AP, Srinivasan A, Carey RB, Carmeli Y, Falagas ME, Giske CG, Harbarth S, Hindler JF, Kahlmeter G, Olsson-Liljequist B, Paterson DL. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance. Clin Microbiol Infect. 2012;18(3):268-81. [DOI:10.1111/j.1469-0691.2011.03570.x] [PMID]
25. Guan X, He L, Hu B, Hu J, Huang X, Lai G, Li Y, Liu Y, Ni Y, Qiu H, Shao Z. Laboratory diagnosis, clinical management and infection control of the infections caused by extensively drug-resistant Gram-negative bacilli: a Chinese consensus statement. Clin Microbiol Infect. 2016 Mar 1;22:S15-25. [DOI:10.1016/j.cmi.2015.11.004] [PMID]
26. Ibrahim ME. High antimicrobial resistant rates among gram-negative pathogens in intensive care units: a retrospective study at a tertiary care hospital in Southwest Saudi Arabia. Saudi Med J. 2018;39(10):1035. [DOI:10.15537/smj.2018.10.22944] [PMID] [PMCID]
27. Alawadhi SA, Ohaeri JU. Validity and reliability of the European Organization for Research and Treatment in Cancer Quality of Life Questionnaire (EORTC QLQ): experience from Kuwait using a sample of women with breast cancer. Ann Saudi Med. 2010 Sep;30(5):390-6. [DOI:10.4103/0256-4947.67083] [PMID] [PMCID]
28. Alhumaid S, Al Mutair A, Al Alawi Z, Alzahrani AJ, Tobaiqy M, Alresasi AM, Bu-Shehab I, Al-Hadary I, Alhmeed N, Alismail M, Aldera AH. Antimicrobial susceptibility of gram-positive and gram-negative bacteria: a 5-year retrospective analysis at a multi-hospital healthcare system in Saudi Arabia. Ann Clin Microbiol Antimicrob. 2021 Dec;20(1):1-8. [DOI:10.1186/s12941-021-00450-x] [PMID] [PMCID]
29. Manandhar S, Zellweger RM, Maharjan N, Dongol S, Prajapati KG, Thwaites G, Basnyat B, Dixit SM, Baker S, Karkey A. A high prevalence of multi-drug resistant Gram-negative bacilli in a Nepali tertiary care hospital and associated widespread distribution of Extended-Spectrum Beta-Lactamase (ESBL) and carbapenemase-encoding genes. Ann Clin Microbiol Antimicrob. 2020;19(1):1-3. [DOI:10.1186/s12941-020-00390-y] [PMID] [PMCID]
30. Oliveira J, Reygaert WC. Gram Negative Bacteria. In: StatPearls. StatPearls Publishing, Treasure Island (FL); 2021. PMID: 30855801.
31. Kosikowska U, Rybojad P, Stępień-Pyśniak D, Żbikowska A, Malm A. Changes in the prevalence and biofilm formation of Haemophilus influenzae and Haemophilus parainfluenzae from the respiratory microbiota of patients with sarcoidosis. BMC Infect Dis. 2016;16(1):1-3. [DOI:10.1186/s12879-016-1793-7] [PMID] [PMCID]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2025 CC BY-NC 4.0 | Iranian Journal of Medical Microbiology

Designed & Developed by : Yektaweb | Publisher: Farname Inc