Get Permission Quayum, Karmaker, Yesmin Ananna, and Asna: Prevalence of MRSA, ESBL, and AMPC-beta-lactamase-producing bacterial profile in pus sample


Introduction

Wound infection is a common source of morbidity. Prolonged hospitalization is one of the side consequences of such infections therefore; infection control is a complicated and crucial element of wound care,1 most importantly in light of the world's rising antimicrobial resistance problem.2 During or after trauma, burn injuries, or surgical procedures, microbial pathogens cause human skin and soft tissue infections (SSTI), which culminate in the creation of pus, a white to the yellow fluid containing dead WBC, cellular debris, and necrotic tissues.3 Staphylococcus aureus (S.aureus), Klebsiella pneumoniae., Pseudomonas, Escherichia coli, and Streptococci are the most prevalent pus-producing bacteria, with S.aureus being the most prevalent.4 These bacteria, linked to wound infections, are widespread in hospitals and cause severe morbidity, and a considerable financial burden to human life, investigating virulence and antibiotic sensitivity, a pure bacterial culture is required.5 To limit the infection that occurs in wound infection, an effective antimicrobial treatment needs knowledge of the prospective microbial pathogen.6 Antibiotic-resistance results from misuse of drugs and its fast spread among dangerous bacterial isolates, regarded as severe concerns to public health worldwide. Studies revealed that blended antibiotics could be effective.7 The emergence of antibiotic-resistance is a severe threat to human life.8 With a rapidly declining pipeline of new antibiotics, this emergence of multi-drug-resistant, pathogenic organisms raises serious concerns about patient and public health.9 ESBL manufacturing strains are most likely additional current than is presently recognized as a result of they typically stay unseen by routine status testing methods. ESBL strains are related to resistance to different non β-lactam antibiotics just like the aminoglycosides and Chloramphenicol.10 Knowing about the bacterial isolates on time-to-time and finding the antibiotic-resistant pattern is a burning issue for microbiologists. Consequently, a severe issue like multi-drug registrant will also be focused on by the doctors.

The focus of this research, investigate the frequency and resistance of the bacterial isolates from pus sample collected from BIHS General Hospital, to find out the types and frequency of isolates & the antibiotic-resistance of them.

Materials and Methods

For this research, a Cross-Sectional Study design, purposive sample technique was selected, conducted in the Microbiology Laboratory of BUHS, Darus Salam, Mirpur Dhaka. The study period was 12 months from 1st June 2020 to 31st July 2021.

A questionnaire used for the collection of data. Data on age, sex etc. were collected. 50 Pus samples collected from the Microbiology Department, BIHS General Hospital. After collecting pus samples from the laboratory, the samples were labeled correctly and transported maintaining 2-4° C temperature without any delay to the laboratory of the Microbiology Department, BUHS.

Collected pus was processed for Gram-staining and culturing. The samples were aseptically inoculated on Blood agar or Brain Heart Infusion agar and MacConkey's agar plates incubated aerobically at 35°C–37°C for 24–48 hrs. Identification and characterization of isolates were performed based on standard microbiological methods.

The antimicrobial-susceptibility of all selected isolates had been tested through a standardized double-disk diffusion method known as Kirby-Bauer. Antibiotic condition testing will screen for ESBL production by noting specific zone diameters that indicate a high level of suspicion for ESBL production by mistreatment Cefuroxime, Ceftazidime, Aztreonam, Cefotaxime, or Ceftriaxone. The CLSI has planned disc diffusion ways for screening for ESBL production by Klebsiella, E.coli, and Proteus spp. If any of the zone diameters indicate suspicion for ESBL production, makeup validatory tests ought to be accustomed ascertain the diagnosis.11

Techniques to spot AmpC β-lactamase-producing isolates are obtainable however are still evolving and don't seem to be nonetheless optimized for the clinical laboratory, that results in the underestimate of those resistance mechanisms. Carbapenemase will typically be accustomed treat infections because of AmpC-producing bacteria, but carbapenem resistance can arise in some organisms by mutations that cut back flow (outer membrane porin loss) or enhance effluence (efflux pump activation).12

Statistical analysis

Data was input on Microsoft excel, and statistical analysis was done by using SPSS V16.

Quality control

Quality control was done by using control organism Escherichia coli ATCC 25922 and Staphylococcus ATCC 29213.

Ethical consideration

This study reviewed by the ethical review committee of BUHS (Memo No: BUHS/ERC/EA/21/277).

Result

Pus was collected from 50 patients of which, were indoor patients 18(36%), and outdoor patients 32(64%). Among 50 patients majority were in the age group of 40 to 50 years, 16(32%). Males, 28(56%), were more predominant than females, 22(44%). The culture was positive in the majority, 38(76%), of the samples. The predominant bacteria were S. aureus, followed by Klebsiella pneumoniae and E.coli. S.aureus was found to be highly resistant to Penicillin, Cefoxitin, Ampicillin, Azithromycin, Cotrimoxazole, Cefuroxime, Cepradine and less resistant to Amikacin, Gentamicin. Among 14 S.aureus were MRSA while a single S.epidermidis 8(100%) found MRSS, and 3(21.1%) were VRSA. Klebsiella pneumoniae was 100% resistant to Cepradine and Cefuroxime, followed by Cotrimoxazole (85.71%), and Cefixime (71.42%). In the case of gram-negative bacilli, 12(52.2%) were AMPC β-Lactamase positive, 3(13.0%) ESBL positive and 2(8.7%) were both AMPC β-Lactamase & Carbapenemase positive. Table 1, showed males were predominant in study subjects 28(56%) followed by female 22(44%).Table 2, showed that among 50 patients, majority were in the age group of 40 to 50 years(32%) followed by <40 years and > 60 years both of which were(24%) and age group 50-60 was 10(20%). Among the male 40 to 50 Year was the most common age group 11(22%). On the other hand, among female, <40 year was highest 8(16%) age group. Table 3, showed, Out of 50 samples, 38(76%) showed growth and 12(24%) no growth. Table 4, showed out of 50 samples, predominant samples were form OPD, 32(64%) followed by IPD, 18(36%). Table also shows that growth of bacteria was predominant in samples from OPD, 24(63.2%) followed by IPD, 14(36.8%). Table 5, showed that both gram-positive bacteria (73.3%) and gram-negative bacteria (56.5%) were predominant in OPD. Table 6, showed distribution of bacteria in study population. Total 8 types of bacteria were isolates from pus sample. Among gram-positive isolates most prevalent bacteria is S.aureus (n=14). whereas, among gram negative isolates most prevalent isolates is Klebsiella pneumoniae (n=7). Table 7, showed distribution of gram positive bacteria based on OPD & IPD. Out of 15, predominant bacteria was S.aureus 14(93.4%) of which 10(66.7%) was from outdoor patients and 4(26.7%) from indoor patient. On the other hand, Only 1(6.7%) was S.epidermidis which was isolated sample from samples of outdoor patients. Table 8, showed distribution of gram negative bacteria in indoor and outdoor patients. Klebsiella pneumoniae was the predominant bacteria 7(30.4%) of which 6(26.1%) was from outdoor patients and 4.3% from indoor patients. The next highest organism found was E. coli 4(17.3%) of which 3(13%) was from outdoor and rest 1(4.3%) from indoor patients. However, each of Proteus, Enterobacter, Acinetobacter, Pseudomonas was equally (13%) isolated from the samples. Proportion of Proteus was predominantly from outdoor (8.7%). But Enterobacter 8.7%, Acinetobacter 13%, and Pseudomonas 8.7% were predominant in indoor samples.

Table 1

Distribution of gender among study population (n=50)

Gender

Frequency

Percentage

Male

28

56%

Female

22

44%

Total

50

100%

Table 2

Distribution of age and sex among study population (n=50)

Gender

<40 yrs

40-50 yrs

50-60 yrs

>60 yrs

Mean & SD

Male

4(8%)

11(22%)

6(12%)

7(14%)

Mean= 50.4

SD= 13.7

Female

8(16%)

5(10%)

4(8%)

5(10%)

Total

12(24%)

16(32%)

10(20%)

12(24%)

50(100%)

Table 3

Frequency of isolates in study population (n=50)

Culture

Frequency

Percentage

Growth

38

(76%)

No-growth

12

(24%)

Total

50

(100%)

Table 4

Distribution of isolates based on IPD (Indoor) and OPD (outdoor) department

Department

Frequency

Pus Sample

Bacteria

IPD

18(36%)

14(36.8%)

OPD

32(64%)

24(63.2%)

Total

50(100%)

38(100%)

Table 5

Distribution of bacteria according to Gram stain and IPD & OPD

Gram stain

IPD

OPD

Total

Gram Positive

4(26.7)

11(73.3%)

15(100)

Gram Negative

10(43.5%)

13(56.5%)

23(100)

Total

14(36.8%)

24(63.2%)

38(100)

Table 6

Distribution of bacteria in study population

Gram stain.

Name of Bacteria

Proportion

Gram positive Bacteria

(n=15)

S.aureus (n=14)

93.4%

S.epidermidis (n=1)

6.6%

Gram Negative Bacteria (n=23)

Proteus spp. (n=3)

13%

Klebsiella pneumoniae (n=7)

30.4%

Enterobacter spp. (n=3)

13%

E.coli (n=4)

17.3%

Acinetobacter spp. (n=3)

13%

Pseudomonas spp. (n=3)

13%

Table 7

Distribution of species of gram positive bacteria based on IPD (Indoor) and OPD (outdoor) department

Gram stain

Organism

Indoor patient

Outdoor patient

Total

Positive (n=15)

S.aureus

4(26.7%)

10(66. 7%)

14(93.4%)

Staphylococcus epidermidis

0(0%)

1(6.6%)

6.6%

Table 8

Distribution of gram-negative bacteria on basis of IPD (Indoor) and OPD (Outdoor) department

Gram stain

Organism

Indoor patient

Outdoor patient

Total

Negative (n=23)

Proteus

1(4.3%)

2(8.7%)

13%

Klebsiella pneumoniae

1(4.3%)

6(26.1%)

30.4%

Enterobacter

2(8.7%)

1(4.3%)

13%

E.coli

1(4.3%)

3(13%)

17.3%

Acinetobacter

3(13.0%)

0(0%)

13%

Pseudomonas

2(8.7%)

1(4.3%)

13%

Total

10(43.5%)

13(56.5%)

100%

Table 9, showed distribution of antibiotic-resistance pattern of gram positive isolates. S. aureus showed highest resistance to penicillin(100%) followed by (92.85%) to Ampicillin, Azithromycin, Cefuroxime, Cepradine, Cotrimoxazole. It showed lowest resistance to Gentamicin, Amikacin, Cefixime and Cefotaxime. However, S.aureus showed variable degree of resistance to other antibiotics, Ciprofloxacin 12(85.71%), Clindamycin 11(78.57%), 10(71.43%) Amoxiclav, Doxycyclin, Cefoxitin 8(57.14%), and Ceftazidime 7(50%). Single S.epidermidis was found 100% sensitive to Amikacin and Gentamicin and 100% resistant to all other antibiotics.

Table 9

Antibiotic resistance pattern in gram-positive isolates

Antibiotics

S. aureus (n=14)

S. Epidermidis (n=1)

Amikacin

1(7.12%)

0(0.00%)

Ampicillin

13(92.85%)

1(100%)

Amoxiclav

10(71.43%)

1(100%)

Azithromycin

13(92.85%)

1(100%)

Cefixime

5(35.71%)

1(100%)

Cefuroxime

13(92.85%)

1(100%)

Cepradine

13(92.85%)

1(100%)

Cefotaxime

5(35.71%)

1(100%)

Ceftazidime

7(50.00%)

1(100%)

Ciprofloxacin

12(85.71%)

1(100%)

Cotrimoxazole

13(92.85%)

1(100%)

Cefoxitin

8(57.14%)

1(100%)

Clindamycin

11(78.57%)

1(100%)

Doxycyclin

10(71.43%)

1(100%)

Gentamicin

2(14.28%)

0(0.0%)

Vancomycin

3(21.4%)

0(0.00)

Linezolid

9(64.3%)

0(0.00%)

Penicillin

14 (100%)

1(100%)

Table 10, showed antibiotic resistance pattern of gram negative isolates. Klebsiella pneumoniae was 100% resistant to Cepradine and Cefuroxime, followed by 6(85.71%) Ampicillin, Tetracycline, Cotrimoxazole, (71.42%) to Amoxiclav, Cefixime, Cefotaxime, Ceftazidime. However, Klebsiella pneumoniae was 100% sensitive to Amikacin and Imipenem followed by also 85.7% sensitive to Tigecycline and Colistin. This organism showed variable degree of resistant against other antibiotics. E.Coli, showed 100% resistance to Amoxiclav, Cefixime, Cefuroxime, Cepradine, Cefotaxime, Ceftadizime followed by Ampicillin, Aztreonam, Cotrimoxazole which showed 75% each. However, E.coli was 100% sensitive to Amikacin, Gentamicin, Tigecycline and 75% sensitivity to Imipenem. In Enterobacter spp. was highly resistant (66.7%) to each of antibiotics. It was 100% sensitive to Amikacin, Colistin, Gentamicin and Tigecycline. Acinetobacter, Pseudomonas were estimated 100% resistant to various antibiotics. These two organisms showed verities of sensitivity to Colistin and Imipenem. Proteus showed 100% resistant to Ampicillin, Cefuroxime, Cepradine, Cotrimoxazole, Colistin, Tetracycline, in addition 100% sensitivity to other antibiotics.

Table 10

Antibiotic resistance pattern in gram negative bacteria

Antibiotics

Proteus

(n=3)

Klebsiella

Pneumoniae (n=7)

Enterobacter SPP (n=3)

E.coli

(n=4)

Acinetobacter

(n=3)

Pseudomonas

(n=3)

Amikacin

0(0.0%)

0(0.0%)

0(0.0%)

0(0.0%)

1(33.3%)

1(33.3%)

Ampicillin

3(100%)

6(85.7%)

1(33.3%)

3(75%)

3(100%)

3(100%)

Amoxiclav

1(33.3%)

5(71.4%)

2(66.7%)

4(100%)

3(100%)

3(100%)

Aztreonam

0(0.0%)

4(57.1%)

2(66.7%)

3(75%)

3(100%)

3(100%)

Cefixime

0(0.0%)

5(71.4%)

2(66.7%)

4(100%)

3(100%)

3(100%)

Cefuroxime

3(100%)

7(100%)

2(66.7%)

4(100%)

3(100%)

3(100%)

Cepradine

3(100%)

7(100%)

2(66.7%)

4(100%)

3(100%)

3(100%)

Cefotaxime

0(0.0%)

5(71.4%)

2(66.7%)

4(100%)

3(100%)

3(100%)

Ceftazidime

0(0.0%)

5(71.4%)

2(66.7%)

4(100%)

3(100%)

3(100%)

Cotrimoxazole

3(100%)

6(85.7%)

2(66.7%)

3(75%)

3(100%)

3(100%)

Colistin

3(100%)

1(14.3%)

0(0.0%)

0(0.0%)

0(0.0%)

0(0.0%)

Ciprofloxacin

1(33.3%)

4(57.1%)

1(33.3%)

3(75%)

2(66.7%)

2(66.7%)

Gentamicin

0(0.0%)

1(14.3%)

0(0.0%)

0(0.0%)

1(33.3%)

1(33.3%)

Imipenem

0(0.0%)

0(0.0%)

0(0.0%)

1(25%)

1(33.3%)

0(0.0%)

Tetracycline

3(100%)

6(85.7%)

2(66.7%)

2(50%)

2(66.7%)

3(100%)

Tigecycline

0(0.0%)

1(14.3%)

0(0.0%)

0(0.0%)

0(0.0%)

3(100%)

Cefoxitin

0(0.0%)

4(57.1%)

2(66.7%)

2(50%)

3(100%)

3(100%)

Note: MRSA= Methicillin-Resistant Staphylococcus aureus, MRSS= Methicillin-Resistant Staphylococcus Species., VRSA= Vancomycin-Resistant Staphylococcus aureus, VRSS= Vancomycin-Resistant Staphylococcus Species.

Table 11, showed out of 14 S.aureus, 8(57.1%) was resistant Methicillin (MRSA). However, the single S.epidermidis was resistant (100%) to methicillin(MRSS). On the other hand, S.aureus 3(21.1%) resistance to Vancomycin and S.epidermidis 0% to Vancomycin.

Table 11

Isolates resistant to methicillin

Organism

MRSA

MRSS

VRSA/VRSS

S.Aureus (n=14)

8(57.14%)

-

3(21.1%)

S.Epidermidis (n=1)

-

1(100%)

0(0%)

Table 12, indicated the list and percentage of enzymes produced from gram negative bacteria, responsible for drug resistance. A high amount of AMPC was produces from 12(52.2%) organisms followed by (ESBL) 3(13.0%) and AMPC β-Lactamase & Carbapenemase together 2(8.7%).

Table 12

Production of Enzymes responsible for drug resistance (n=23)

Name of enzymes

Percentage

AMPC β-Lactamase

12(52.2%)

Extended-spectrum β-Lactamase (ESBL)

3(13.0%)

AMPC β-Lactamase & Carbapenemase

2(8.7%)

Table 13, showed in present study among 23 the isolates, 12(52.2%) bacteria were AMPC β-Lactamase producer, 3(13.0%) ESBL producer and 2(8.7%) both of AMPC β-Lactamase & Carbapenemase producers. Out of 7 Klebsiella spp. 4 was AMPC β-Lactamase producer, an ESBL producer. Out of 4 E.coli 1(25%) AMPC β-Lactamase producer, 2(50%) ESBL producer, and 1(25%) both AMPC β-Lactamase and Carbapenemase producers. 3(100%) Pseudomonas spp. found AMPC β-Lactamase producers. Followed by Acinetobacter spp. and Enterobacter spp. 2(66.7%) each. Proteus spp., Enterobacter spp., Acinetobacter spp. (n=3), Pseudomonas spp. (n=3) found non ESBL producer.

Table 13

ESBL, AMPC and Carbapenemase production pattern in gram negative isolates

Organism

AMPC β-Lactamase

ESBL

AMPC β-Lactamase & Carbapenemase

Total

Proteus spp.(n=3)

0(0.0%)

0(0.0%)

0(0.0%)

0.0%

Klebsiella spp.(n=7)

4(57.1%)

1(14.3%)

0(0.0%)

5(71.4%)

Enterobacter spp.(n=3)

2(66.7%)

0(0.0%)

0(0.0%)

2(66.7%)

E.coli(n=4)

1(25%)

2(50%)

1(25%)

4(100%)

Acinetobacter spp.(n=3)

2(66.7%)

0(0.00%)

1(33.3%)

3(100%)

Pseudomonas spp.(n=3)

3(100%)

0(0.0%)

0(0.0%)

3(100%)

Total(23)

12(52.2%)

3(13.0%)

2 (8.7%)

17(73.9%)

Discussion

As wound infection becomes the most common hospital-acquired illness, the hospital environment plays vital role in wound infection (Khanam et al.2018).13 In present study, out of 50 participants, majority were male followed by females, similar with (Batra et al.2020)4 where males were predominant 1116(58.6%) than females. In this study, the mean of age group was approximately 50 years (Karmaker et al 2016).14 In our study, out of 50 pus samples (n=50), which collected predominantly from OPD (64%), followed by IPD (36%), majority (76%) were growth positive (Trojan et al 2016).3 Frequency of gram-positive bacteria and gram-negative bacteria in this study was 15(39.5%) and 23(60.5%). Comparing with (Rai et al 2017)15 where out of 264 growth positive samples, gram-positive was 61% followed by gram-negative bacteria 39%. In our study, out of 15 gram positive cocci, predominant bacteria was S.aureus 14(93.4%) of which 10(66.7%) was from outdoor patients and 4(26.7%) from indoor patient. On the other hand, only 1(6.7%) was Staphylococcus epidermidis, which was isolated from samples of outdoor patients. Another study of (Wadekar et al 2020),16 among gram 39 gram-positive cocci, predominant organism was S.aureus (69.2%) followed by Cons (25.6%) and Enterococci (5.2%). However, (Rai et al.2017),15 found out of 162 gram-positive isolates, where 99% was S.aureus followed by S.pyogenes 2%. This study demonstrate the prevalence of gram-negative bacteria (n=23) where Klebsiella pneumoniae (30.4%) was the predominant organism followed by E.coli (17.3%), Proteus spp.(13%), Enterobacter spp. (13%), Acinetobacter (13%) and Pseudomonas (13%) isolated from pus. Study by (Wang et al 2018)17 found Klebsiella (80.3%), the most commonly occurring pathogens in liver abscess infections followed by E.coli (7.8%), P.aeruginosa (1.9%), and Acinetobacter baumannii(1%). Thanni et al.(2003)1 found that Pseudomonas spp. was (29.9%), Klebsiella spp.(18.5%), Proteus spp.(15.1%), and E.coli (7%). Serraino et al 2018)18 found E. coli (26.5%), Klebsiella Spp. (5.6%), Proteus Spp. (1.9%) and Citrobacter spp. (1.9%) to be the most common pathogen with similar observations. S.aureus showed highest resistance to penicillin (100%), Ampicillin, Azithromycin, Cefuroxime, Cepradine, Cotrimoxazole showed (92.85%). However, S.aureus showed variable degree of resistance to other antibiotics, comparing with (Rai et al 2017),15 out of 160 S.aureus, they also found resistance range from varieties antibiotics, similar with (Wadekar et al 2020).16 Single S.epidermidis, was found (100%) sensitive to Amikacin and Gentamicin, also (100%) resistant to all other antibiotics. Out of 10 CoNS, (20%) resistant to Amikacin and (40%) to Gentamicin. They also showed variable resistance. In this study, Klebsiella pneumoniae showed 100% resistant to Cepradine and Cefuroxime. However, it showed lowest resistance (0%) to Amikacin and Imipenem. This organism showed variable degree of resistance against other antibiotics. Another study by (Roy et al 2017)19 and (Khatun et al 2020)20 found similar antibiotic-resistance pattern of Klebsiella spp. E.Coli, which showed (100%) resistance to each of Amoxiclav, Cefixime, Cefuroxime, Cepradine, Cefotaxime, Ceftadizime. This bacteria also showed a variety of sensitivity to other antibiotics which related to (Khalid et al 2019),21 where they found their antibiotics result as similar as like our result. In Enterobacter spp. high resistance (66.7%) was seen to each of antibiotics we use. Pseudomonas was 100% resistant to maximum antibiotics, it showed no resistance to Colistin and Imipenem, contrast with (Khatun et al.2020),20 where (75%) resistance of Ceftadizime and Gentamicin. Another study by (Paudel et al 2021)22 showed various range of antibiotic-resistance, dissimilarity with the present study. Acinetobacter showed variable degree of resistance against Tetracycline (66.7%), Amikacin, Gentamicin and Imipenem (33.3%) and 0% resistance to Tigecycline and Colistin, along with (100%) resistant to other antibiotics. Where (Khanom et al 2018),13 showed (87.5%) resistance to Imipenem, (90%) to Gentamicin, (50%) to Cotrimoxazole. Proteus showed (100%) resistant to Ampicillin, Cefuroxime, Cepradine, Cotrimoxazole, Colistin, Tetracycline, also found similar with Roy et al (2017).19 In our study, among gram-positive bacteria, out of 14 S.aureus, 8(57.1%) was Methicillin resistant (MRSA). However, the single S.epidermidis was (100%) Methicillin resistant (MRSS). 3(21.1%) S.aureus was Vancomycin resistant (VRSA) and (0%) S.epidermidis was Vancomycin resistant (VRSS). In present study, among 23 gram native bacteria, 12(52.2%) were AMPC β-Lactamase producer, 3(13.0%) ESBL producer and 2(8.7%) both of AMPC β-Lactamase & Carbapenemase producers. 100% Pseudomonas spp. found AMPC β-Lactamase producers followed by Acinetobacter spp. and Enterobacter spp. (66.7% each), Klebsiella spp. (57.1%), and E.coli 25%. Proteus spp., Enterobacter spp., Acinetobacter spp. (n=3), Pseudomonas spp. (n=3) found non ESBL producer. (Upreti N et al. 2018)2 have reported 13.51% and 16.55% of E. coli and Klebsiella as ESBL producer respectively. Another study by (Wang et al. 2018)17 revealed that 5 strains of E coli produced extended-spectrum β-Lactamase (ESBL) which correlates with the present study.

Conclusion

The most common isolated bacteria after aerobic culture of Pus was Staphylococcus aureus among gram-positive bacteria. The Gram-negative bacilli Klebsiella pneumoniae and E.coli were the most common bacteria causing wound infection. This study also outlines the antibiotic-resistance of bacterial isolates, which will help formulate the local antibiotic policy for the hospital and start the appropriate empirical antibiotic treatment before the culture reports are available.

Source of Funding

None.

Conflict of Interest

None.

References

1 

LOA Thanni OA Osinupebi M Deji-Agboola Prevalence of bacterial pathogens in infected wounds in a tertiary hospital, 1995-2001: any change in trend?J Natl Med Assoc19959512118995

2 

N Upreti B Rayamajhee SP Sherchan MK Choudhari MR Banjara Prevalence of methicillin resistant Staphylococcus aureus, multi-drug resistant and extended spectrum β-lactamase producing gram negative bacilli causing wound infections at a tertiary care hospital of NepalAntimicrob Resist Infect Control2018712110.1186/s13756-018-0408-z

3 

R Trojan L Razdan N Singh Antibiotic Susceptibility Patterns of Bacterial Isolates from Pus Samples in a Tertiary Care Hospital of Punjab, IndiaInt J Microbiol20162016930269210.1155/2016/9302692

4 

S Batra V Balothia S Agarwal R Sharma Bacteriological Profile and Antimicrobial Susceptibility Pattern of Pus Culture Isolates from a Tertiary Care Hospital, SMS Medical College JaipurEur J Mol Clin Med202071175028

5 

A Shilpakar M Ansari KR Rai G Rai SK Rai Prevalence of multidrug-resistant and extended-spectrum beta-lactamase producing Gram-negative isolates from clinical samples in a tertiary care hospital of NepalTrop Med Health2021492310.1186/s41182-021-00313-3

6 

P Verma A study on isolation of different type of bacteria from pusInt J Pharm Life Sci2012311210710

7 

M Ayub Isolation of Pathogens Causing Sepsis, Pus and Infected Wounds from Critical Care Unit: A Retrospective StudyAnn Clin Lab Res.2016310.21767/2386-5180.100050

8 

M Gupta AK Naik SK Singh Bacteriological profile and antimicrobial resistance patterns of burn wound infections in a tertiary care hospitalHeliyon2019512e02956

9 

NP Mnyambwa C Mahende A Wilfred E Sandi N Mgina C Lubinza Antibiotic Susceptibility Patterns of Bacterial Isolates from Routine Clinical Specimens from Referral Hospitals in Tanzania: A Prospective Hospital-Based Observational StudyInfect Drug Resist 20211486978

10 

D Kumar AK Singh MR Ali Y Chander Antimicrobial Susceptibility Profile of Extended Spectrum β-Lactamase (ESBL) Producing Escherichia coli from Various Clinical SamplesInfect Dis (Auckl)2014718

11 

A Abdelmoktader ATE Far Methods of ESBLs Detection in Clinical Microbiology LabVirol Immunol J201934000222

12 

PE Coudron Inhibitor-based methods for detection of plasmid-mediated AmpC beta-lactamases in Klebsiella spp., Escherichia coli, and Proteus mirabilisJ Clin Microbiol200543841637

13 

RA Khanam MR Islam A Sharif R Parveen I Sharmin MA Yusuf Bacteriological Profiles of Pus with Antimicrobial Sensitivity Pattern at a Teaching Hospital in Dhaka CityBangladesh J Infect Dis201851104

14 

M Karmaker SK Sanyal M Sultana MA Hossain Association of bacteria in diabetic and non-diabetic foot infection - An investigation in patients from BangladeshJ Infect Public Health20169326777

15 

S Rai UN Yadav ND Pant JK Yakha PP Tripathi A Poudel Bacteriological Profile and Antimicrobial Susceptibility Patterns of Bacteria Isolated from Pus/Wound Swab Samples from Children Attending a Tertiary Care Hospital in Kathmandu, NepalInt J Microbiol201720172529085

16 

MD Wadekar JV Sathish Jayashree C Pooja Bacteriological profile of pus samples and their antibiotic susceptibility pattern-NC-ND licenseIndian J Microbiol Res202071437

17 

WJ Wang Z Tao HL Wu Etiology and clinical manifestations of bacterial liver abscess: A study of 102 casesMedicine (Baltimore)20189738e12326

18 

C Serraino C Elia C Bracco G Rinaldi F Pomero A Silvestri Characteristics and management of pyogenic liver abscess: A European experienceMedicine (Baltimore)20189719e0628

19 

S Roy MU Ahmed BMM Uddin ZA Ratan M Rajawat V Mehta Evaluation of antibiotic susceptibility in wound infections: A pilot study from BangladeshF1000Res10006210310.12688/f1000research.12887.1

20 

MS Khatun S Nahar MS Kabir Antibiotic-resistance pattern of bacteria isolated from outdoor patients in Dhaka city: a single center studyStamford J Microbiol20209114

21 

S Khan K Saeed A Khalid N Muhammad P Khan F Jan Antibacterial resistance pattern in isolates from pus samples: An observational studyInt J Biosci20191536771

22 

P Paudel S Shrestha S Poudel BR Tiwari Multi-drug Resistant Bacteria Isolated from Pus and Phenotypic Detection of Metallo β-lactamase Activity of Pseudomonas AeruginosaNepal J Health Sci202111815



jats-html.xsl


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

  • Article highlights
  • Article tables
  • Article images

Article History

Received : 02-12-2022

Accepted : 21-12-2022


View Article

PDF File   Full Text Article


Copyright permission

Get article permission for commercial use

Downlaod

PDF File   XML File   ePub File


Digital Object Identifier (DOI)

Article DOI

https://doi.org/ 10.18231/j.ijmr.2022.045


Article Metrics






Article Access statistics

Viewed: 915

PDF Downloaded: 316