Print ISSN:-

Online ISSN:-2455-1732

CODEN : SUJHAW

Issue

Year 2020

Volume: 6 , Issue: 1

  • Article highlights
  • Article tables
  • Article images

Article Access statistics

Viewed: 852

Emailed: 0

PDF Downloaded: 871

Sangita, Bisht, and Goel: Influencing antimicrobial susceptibility pattern of metallo beta lactamas among gram negative bacilli in a tertiary care hospital


Introduction

Antimicrobial resistance is a growing problem in the 21st Century and one of the most serious problem to global public health.1 The number of resistant microbial strains, geographic areas affected by drug resistance and the extent of resistance in each organism are escalating.2 Moreover, the percentage of organisms exhibiting antimicrobial resistance, especially resistance to multiple antibiotics, are continuingly increased.3 Resistant microorganisms lead to an increase in morbidity and mortality since it increases the risk of inappropriate therapy.4, 5 This resistance may delay and hinder treatment, resulting in complications or even death.6, 7 Moreover a patient may need more care, as well as the use of alternative and more expensive antibiotics which may have more severe side effects or may need invasive treatment such as intravenous injection to be given in hospital.6, 8

Experiences from surveillance network on antimicrobial use and antimicrobial resistance show that data where available, can be put to multiple uses, including orienting treatment choice, understanding antimicrobial trend, informing public health policy, identifying priority areas for interventions and monitoring the impact of interventions to certain resistance.1 Therefore, the present study involves the screening of the antimicrobial resistant profile of carbapenem drug that are used in the treatment of infectious diseases.

Materials and Methods

A cross sectional study was conducted in the Department of Microbiology, Santosh Medical College and Hospital, Ghaziabad for a period of one year from October 2017 to 2018. Ethical clearance was obtained from the Institutional Ethical Committee. A total of 150 specimens including urine, pus, blood, sputum, stool and body fluids such as cerebrospinal fluid and pleural fluid received in the bacteriology lab were taken and processed according to Standard bacteriological procedures.

Antimicrobial susceptibility testing

Antimicrobial Susceptibility testing was done using disc diffusion method according to Kirby-Bauer method using Pseudomonas aeruginosa ATCC [27853] as control.9 A zone of inhibition was measured and the results were interpreted as sensitive, resistant or intermediate based on resistance data interpreted according to Clinical and Laboratory Standards Institute.10

Statistical test

Chi- square test was used to detect statistically significant correlation among variable significance defined as 95% (P < 0.05).

Result

Of the total 150 samples, 74 (49%) isolates were from urine samples, 33 (22%) isolates from pus, 11 (7.3%) isolates from sputum, 09 (06%) isolates from blood, 07 (4.66%) isolates from Cather tips, 06 (4%) isolates from ETT & Ear swab and 04 (2.66%) isolates from stool. [Figure 1].

Of the 150 Gram negative isolates bacteriological profile showed that 50% isolates were E.coli, 21% Klebsiella species, 15% Pseudomonas aeruginasa, 08%, Citrobacter species, 07% Acinetobacte species and 04% Proteus species [Figure 2]. Antibiotic susceptibility patters of Enterobacteriaceae, Pseudomonas aeruginosa and Acinetobacter species have been shown in the Figure 3, Figure 4, Figure 5 respectively.

Figure 1

Distribution of clinical samples

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/e25cc640-81d9-443b-81ee-096a668d5fd1/image/a480bc5a-d784-4af8-b9c2-5b1b627dab42-uimage.png

Figure 2

Bacteriological profile of clinical isolates

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/e25cc640-81d9-443b-81ee-096a668d5fd1/image/7418ab80-82a8-41e0-8829-7976b56c9182-uimage.png

Figure 3

Antibiotic susceptibility pattern of enteriobacteriacae family

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/e25cc640-81d9-443b-81ee-096a668d5fd1/image/ddde9d96-cf3e-4e89-ab42-995e4dabc893-uimage.png

Figure 4

Antibiotic susceptibility pattern of Pseudomonas aeruginosa

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/e25cc640-81d9-443b-81ee-096a668d5fd1/image/0f5b2bee-e4de-45f8-9143-9a1f81ae3972-uimage.png

Figure 5

Antibiotic susceptibility pattern of acinetobacter species

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/e25cc640-81d9-443b-81ee-096a668d5fd1/image/ea008b16-31a8-4cfb-82c0-26cbc5ba82f5-uimage.png

Discussion

Originating in a hospital setting, carbepenems are used as the last resort for treatment of Drug resistance Gram negative bacterial infection. However, since last 15 years acquired resistance to these life saving antimicrobials has been increasingly reported not only in Pseudomonas aeruginosa and Acinetobacter species,11 but also among other members of Enterobacteriaceae family. E.coli and Klebsiella pneumoniae are the most common pathogens in Enterobacteriaceae family.12 These carbapenemas producing bacteria were found in many countries such as China,13 Jaipur, India,14 China,15 Brazil,16 Maxico,17 Peru18 and Greece.19 This resistance is mainly mediated by MBLs.

In this study antibiotic sensitivity of Enterobacteriaceae family showed maximum sensitivity to Imipenem (82.2%), Gentamicin (55.5%), cefepime (42.2%) and Levofloxacin (37.0%). A study by Amin et al.20 showed somewhat similar pattern with maximum sensitivity to Imipenem (86%), Gentamicin (42%), Cefepime (40%), Levofloxacin (30%). Whereas Gupta at al.11 reported maximum sensitivity to Imipenem (80%), Gentamicin (45%), Levofloxacin (42.2%) and Cefepime (36.6%).

Present study showed maximum resistance to Ampicillin (85.9%), Ceftriaxone(82.9%), Levofloxacin (62.9%), Cefepime(57.7%). Irfan et al.21 reported highly resistance to Imipenem (84%), Gentamicin (40%) in their study whereas Amin et al.20 reported highly resistance to Ampicillin (80%) and Imipenem (86%).

In present study Pseudomonas aeruginosa showed maximum sensitivity to piperacillin/tazobactam (80%), Toberamycin and Levofloxacin (66.6%), and Imipenem (60%) respectively. Resistance pattern of Pseudomonas aeruginosa was maximum by Ceftazidime (55.5%), Aztreonam 46.6%, Imipenem and Levofloxacin 33.3%, Toberamycin and Piperacillin/Tazobactam 33.3% respectively. Attal et al.22 reported were sensitive to Piperacillin/Tazobactam 40% and were resistance to Aztreonam 66.6%, whereas Irfan et al.21 who reported Ceftazidime resistance to be around to be 88.1% and Amin et al. 25%.20

Metallo beta lactamase has become a major problem worldwide and the situation is worrisome to the community. These enzymes are becoming increasingly expressed by many strains of pathogenic bacteria with a potential for dissemination.12 They compromise the activity of wide spectrum antibiotics creating major therapeutic difficulties with significant impact on the outcome of patient by appropriate antimicrobial selection, surveillance system and effective infection control procedures being the key factor in their control.

Conclusion

The spread of drug-resistant Gram negative bacilli in the hospital is seen as world wide problem. In the majority of hospitalized patient in ICUs who exposed to the risk. Routine surveillance of baseline resistance, guidelines of hospital antibiotic policy and compliance with existing guidelines will go long way in reducing multidrug resistance among pathogen. Early detection is crucial for the treatment with alternative antimicrobial and timely implementation of strict infection control practices. There is no standardized method for Metallo beta lactamase detection, though detection by polymerease chain reaction is highly accurate and reliable, thus, laboratory methods including culture and antimicrobial suscesptibility testing with routine screening for MBL production should be done for proper diagnosis and management of all infection.

Source of Funding

None.

Conflicts of Interest

None.

References

1 

World Health Organization, Essential Drug Monitor: Antimicrobial Drug Resistance: A Global Threat World Health Organization, Geneva, Switzerland2000

2 

Yvonne Pfeifer Angela Cullik Wolfgang Witte Resistance to cephalosporins and carbapenems in Gram-negative bacterial pathogensInt J Med Microbiol2010300637191438-4221Elsevier BV

3 

Rashed Noor Md. Sakil Munna Emerging diseases in Bangladesh: Current microbiological research perspectiveTzu Chi Med J20152724931016-3190Medknow

4 

A Kapil The challenge of antibiotic resistance; need to contemplateIndian J Med Res200512128391

5 

C L Ventola The antibiotic resistance crisis- part 1: causes and threatsP & T201540427783

6 

Richard J. Fair Yitzhak Tor Antibiotics and Bacterial Resistance in the 21st CenturyPerspect Med Chem20141177-391X, 1177-391X10.4137/pmc.s14459SAGE Publications

7 

Francesca Prestinaci Patrizio Pezzotti Annalisa Pantosti Antimicrobial resistance: a global multifaceted phenomenonPathog Glob Health2015109309182047-7724, 2047-7732Informa UK Limited

8 

N.D. Friedman E. Temkin Y. Carmeli The negative impact of antibiotic resistanceClin Microbiol Infect 2016225416221198-743XElsevier BV

9 

A W Bauer W M Kirby J C Sherris M Turck Antibiotic susceptibility testing by a standardized single disk methodAm J Clin Pathol19964544936

10 

R Franklin A W Mattew A Jeff N D Michael M E George J F Mary Performance Standards for Antimicrobial Disk Susceptibility Test11th edition2012

11 

V Gupta P Datta J Chander Prevalence of metallo beta lactamase Producing Pseudomonas aeruginosa and Acinetabacter species in a tertiary care hospital in IndiaJ Infect200652314

12 

H C Polk Consensus summary of infectionJ Trauma1979198945

13 

J Wang X Yao J Luo L Lv Z Zeng J H Liu Emergence of Echerichia coli coproducing NDM-1 and KPC-2 carbapenamase from a retail vegetable, ChinaJ Antimicrobial Chemothe20187312524

14 

M Stood S phenotypic test for detecting incidence of metallo beta lactamase producing Pseudomonas aeruginosa in JaipurNat J Lab Med201432273

15 

W Wu Y Feng G Tang F Qiao A Mcnally Z Zong NDM Metallo beta-Lactamase and Their Bacterial producers in Heath Care SettingClin Microbial Rev2019322

16 

I Rossi Gonçalves M L Ferreira B F Araujo P A Campos S Royer D W F Batistão Outbreak of colistin resistance colistin susceptible KPC- producing Klebseilla pneumonia in Brazilian, intensive care unitJ Hosp Infect20169443229

17 

P Torres-Gonzalez M Bobadilla-Del Valle E Tovar Calderon et al. outbreak Caused by Enterobacteriaceae Harboring NDM-1 Metallo beta lactamase Carried in an IncFII Plasmid in a Tertiary Care Hospital in Mexico CityAntimicrobial Agent Chemother2015591170803

18 

J Tamaria C Lianos C Seas Paola Montenegro Jose Lagos Miriam R. Fernandes Draft genome sequence of the first New Delhi metallo beta lactamase NDM-1 producing Escherichia coli strain isolated in PeruGenome Announc201861310.1128/genomeA.00199-18

19 

H.C. Maltezou P. Giakkoupi A. Maragos M. Bolikas V. Raftopoulos H. Papahatzaki Outbreak of infections due to KPC-2-producing Klebsiella pneumoniae in a hospital in Crete (Greece)J Infect200958321390163-4453Elsevier BV

20 

A Amin P B Ghumro S Hussain A Hameed Prevalence of antibiotic resistance among clinical isolates of Kleibsiella pneumoniaeisolated from a Tertiary Care Hospital in Pakistan.Malaysian J Microbiol200958162231-7538Malaysian Journal of Microbiology

21 

S Irfan A Zafar D Ghuar T Ahsan R Hassn Metallo beta lactamase producing clinical isolates of Acinetobacter species and Pseudomonas aeruginosa from intensive care unit patients of a tertiary care hospitalIndian J Med Microbiol20082632435

22 

R O Attal S Basak S K Mallick S Bose metallo beta lactamase producing Pseudomonase aeruginosa;a emerging threat to cliniciansJ Clin Diagn Res2010426916



jats-html.xsl

© 2020 Published by Innovative Publication Creative Commons Attribution 4.0 International License (creativecommons.org)