Increasing Antibiotic Resistant Pattern in Clinical Bacterial Isolates, From Tertiary Care Hospital, Hayatabad Medical Complex, Peshawar, Pakistan

Increasing Antibiotics Resistance in Hayat Abad Medical Complex

Authors

  • Yaseen Anwar Department of Biotechnology and Genetic Engineering, Kohat University of Science and Technology, Kohat Pakistan
  • Faiz Ullah Department of Biotechnology and Genetic Engineering, Kohat University of Science and Technology, Kohat Pakistan
  • Muhammad Yasin Department of Biotechnology and Genetic Engineering, Kohat University of Science and Technology, Kohat Pakistan
  • Abdul Basit Hayatabad Medical Complex, Peshawar
  • Inam Ullah Department of Biotechnology and Genetic Engineering, Kohat University of Science and Technology, Kohat Pakistan
  • Syed Fahim Shah Medicine KMU-IMS, Kohat
  • Waheed Ullah Department of Microbiology,Kohat University of Science and Technology, Kohat Pakistan

DOI:

https://doi.org/10.54393/pbmj.v5i3.177

Keywords:

Resistance, Antibiotics, Patients, Hospital, Gynae wards, Bacterial infections

Abstract

Bacterial infections are spreading worldwide especially in the developing countries. Most clinical pathogens have evolved mechanisms of resistance due to which most antibiotics are less or not effective to restrict their growth. Current study aims on finding the prevalence of antibiotics resistance in clinical isolates. Material and Methods: Total (n=753) clinical specimens were collected, among them, total (n=105) bacteria were identified on the basis of standard culture characteristics and biochemical tests and their antibiotics resistance pattern were determined. Results: Higher incidence of multidrug resistance bacteria were found in patients aged above 50 years and were prevalent in OPD, emergency and gynea wards. The dominant bacterial species were gram negative i.e. Escherichia coli (29%), Staphylococcus aureus (19%), Pseudomonas aeruginosa (13.33%), Acinetobacter species (5.71%), whereas, gram negative isolates were Staphylococcus epidermidis (9.52%), Streptococcus specie (5.71%), and Enterococcus faecium. Antibiotics like amoxicillin/clavulanic acid, cefuroxime and sulphamatoxazole/trimethoprim were resistant to 64.61%, 63.07% and 61.53% of gram negative bacteria respectively while ciprofloxacin, doxycycline and fusidic acid were resistant to 70%, 52.5% and 52.5% gram positive bacteria respectively. The most susceptible antibiotics against gram negative were sulbactum/cefoperazone and amikacin while to gram positive were linezolid, chloramphenicol and rifampicin. Conclusion: Current study revealed increasing antibiotic resistance pattern that need intimidate focus on surveillance of antibiotics resistance regularly and to ensure long lasting efficacy of antibiotics.

 

References

Alekshun MN, Levy SB. Molecular mechanisms of antibacterial multidrug resistance. Cell. 2007;128(6):1037-50. https://doi.org/10.1016/j.cell.2007.03.004

French GL. The continuing crisis in antibiotic resistance. Int J Antimicro Agents. 2010;1;36:S3-7. https://doi.org/10.1016/S0924-8579(10)70003-0

Bodimeade C, Marks M, Mabey D. Neglected tropical diseases: elimination and eradication. Clin Med. 2019;19(2):157. doi: 10.7861/clinmedicine.19-2-157

Juan CH, Chuang C, Chen CH, Li L, Lin YT. Clinical characteristics, antimicrobial resistance and capsular types of community-acquired, healthcare-associated, and nosocomial Klebsiella pneumoniae bacteremia. Antimicrob Res Infect Control. 2019;8(1):1-9. https://doi.org/10.1186/s13756-018-0426-x

Phodha T, Riewpaiboon A, Malathum K, Coyte PC. Excess annual economic burdens from nosocomial infections caused by multi-drug resistant bacteria in Thailand. Ex Rev Pharmacoec Outcomes Res. 2019;19(3):305-12. https://doi.org/10.1080/14737167.2019.1537123

D'Costa VM, McGrann KM, Hughes DW, Wright GD. Sampling the antibiotic resistome. Science. 2006;311(5759):374-7. DOI: 10.1126/science.1120800

Klemm EJ, Wong VK, Dougan G. Emergence of dominant multidrug-resistant bacterial clades: Lessons from history and whole-genome sequencing. Proc Natl Acad Sci. 2018;115(51):12872-7. https://doi.org/10.1073/pnas.1717162115

Vatopoulos AC, Kalapothaki V, Legakis NJ. An electronic network for the surveillance of antimicrobial resistance in bacterial nosocomial isolates in Greece. The Greek Network for the Surveillance of Antimicrobial Resistance. Bull World Health Org. 1999;77(7):595.. PMID: 10444883

Giamarellou H. Treatment options for multidrug-resistant bacteria. Exp Rev Anti-infective Therapy. 2006;4(4):601-18. https://doi.org/10.1586/14787210.4.4.601

Parte A, Whitman WB, Goodfellow M, Kämpfer P, Busse HJ, et al. editors. Bergey's manual of systematic bacteriology: volume 5: the Actinobacteria. Springer Science & Business Media; 2012 Jun 23.

Hudzicki J. Kirby-Bauer disk diffusion susceptibility test protocol 2009.

Hsueh PR, Ko WC, Wu JJ, Lu JJ, Wang FD, Wu HY, et al. Consensus statement on the adherence to Clinical and Laboratory Standards Institute (CLSI) Antimicrobial Susceptibility Testing Guidelines (CLSI-2010 and CLSI-2010-update) for Enterobacteriaceae in clinical microbiology laboratories in Taiwan. J Microbiol, Immunol Infect. 2010;43(5):452-5. DOI: 10.1016/S1684-1182(10)60070-9

Khurshid R, Sheikh MA, Karim S, Munnawar F, Wyne H. Sensitivity and resistance of antibiotics in common infection of male and female. J Ayub Med Coll Abbottabad. 2002;14(1). PMID:12043324

Wang M, Wei H, Zhao Y, Shang L, Di L, et al. Analysis of multidrug-resistant bacteria in 3223 patients with hospital-acquired infections (HAI) from a tertiary general hospital in China. Bosnian J Basic Med Sci. 2019;19(1):86. DOI: 10.17305/bjbms.2018.3826

Tolera M, Abate D, Dheresa M, Marami D. Bacterial nosocomial infections and antimicrobial susceptibility pattern among patients admitted at Hiwot Fana Specialized University Hospital, Eastern Ethiopia. Adv Med. 2018;4;2018. https://doi.org/10.1155/2018/2127814

Sekhar SM, Vyas N, Unnikrishnan MK, Rodrigues GS, Mukhopadhyay C. Antimicrobial susceptibility pattern in diabetic foot ulcer: a pilot study. Ann Med Health Sci Res. 2014;4(5):742-5. http://dx.doi.org/10.4103/2141-9248.141541

George M, Iramiot JS, Muhindo R, Olupot-Olupot P, Nanteza A. Bacterial aetiology and antibiotic susceptibility profile of post-operative sepsis among surgical patients in a tertiary hospital in rural Eastern Uganda. Microbiol Res J Inter. 2018;24(2). DOI: 10.9734/MRJI/2018/41690

Taha AB. Relationship and susceptibility profile of Staphylococcus aureus infection diabetic foot ulcers with Staphylococcus aureus nasal carriage. The Foot. 2013;23(1):11-6. https://doi.org/10.1016/j.foot.2012.10.003

Li X, Ding X, Shi P, Zhu Y, Huang Y, Li Q, et al. Clinical features and antimicrobial susceptibility profiles of culture-proven neonatal sepsis in a tertiary children's hospital, 2013 to 2017. Medicine. 2019;98(12). doi: 10.1097/MD.0000000000014686

Hombach M, Bloemberg GV, Böttger EC. Effects of clinical breakpoint changes in CLSI guidelines 2010/2011 and EUCAST guidelines 2011 on antibiotic susceptibility test reporting of Gram-negative bacilli. J Antimic Chemoth. 2012;67(3):622-32. https://doi.org/10.1093/jac/dkr524

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Published

2022-03-31
CITATION
DOI: 10.54393/pbmj.v5i3.177
Published: 2022-03-31

How to Cite

Anwar, Y., Ullah, F., Yasin, M., Basit, A. ., Ullah, I. ., Shah, S. F. ., & Ullah, W. (2022). Increasing Antibiotic Resistant Pattern in Clinical Bacterial Isolates, From Tertiary Care Hospital, Hayatabad Medical Complex, Peshawar, Pakistan: Increasing Antibiotics Resistance in Hayat Abad Medical Complex. Pakistan BioMedical Journal, 5(3), 91–95. https://doi.org/10.54393/pbmj.v5i3.177

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