Isolation, Identification and Antibiotic Susceptibility Pattern of Bacteria Isolated from Wounds of Patients Attending at Arsho Advanced Medical Laboratory

Messele Admassie; Estifanos Tsige; Meseret Chanie

doi:doi:10.11648/j.sjcm.20180702.12

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Isolation, Identification and Antibiotic Susceptibility Pattern of Bacteria Isolated from Wounds of Patients Attending at Arsho Advanced Medical Laboratory

Messele Admassie, Estifanos Tsige, Meseret Chanie

Published in Science Journal of Clinical Medicine (Volume 7, Issue 2)

Received: 9 March 2018 Accepted: 2 April 2018 Published: 11 May 2018

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Abstract

Wound infections cause clinical and societal consequences on the patients, but its bacteriological characteristicvaries with different factors. Therefore, effective treatment and management of wound infections in hospital and communitysetting will require detailed epidemiological knowledge of the infecting bacterial pathogens and their antibiogramunusual to theenvironment. Based on this information, we examined the frequency and antibiogram of bacterial pathogens isolated from woundinfection cases seen at ArshoAdvancedmedical laboratory over the study period. A total of 259 wound swabs/ and pus of different types of woundinfections from different anatomical sites were analyzed by standard bacteriological methods. Of the 259 clinical specimens analyzed, 177 (68.4%) yielded at least one bacterial pathogens, 6(2.3%) were polymicrobial, and 82(31.6%) yielded no bacterial growth. Overall, 20 different bacterial pathogens were identified 15 (75%) gram-negative bacteria isolates and 5(25%) gram-positive bacterial isolated. Staphylococcus aureus accounted formajority of the bacterial pathogens isolated, 86 (48.6% followed by E.coli20 (11.3%, and Citrobacterspp. 17(9.6%). The bacterial pathogens demonstrated high resistance to amoxicillin (79.7 %%), ampicillin (78.3%), and tetracycline (73.1%), in contrastto high sensitivity pattern observed with Meropinem (94.5%), Levofloxacin (87%), Amikacin (82.4%), and Ceftazidime (72.7%). Amikacin, meropenem and levofloxacin were the most effective drugs against the tested gram- positive and -negative bacteria and should be considered in empirical antibiotic selection.

Published in	Science Journal of Clinical Medicine (Volume 7, Issue 2)
DOI	10.11648/j.sjcm.20180702.12
Page(s)	20-24
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Wound Infections, Bacterial Pathogens, Polymicrobial, Arsho

References

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[15]	Adane Bitew, Mesele Admassie, Tigist Getachew. Spectrum and Drug Susceptibility Profile of Bacteria Recovered from Patients with wound Infection Referred to Arsho Advanced Medical Laboratory. Clinical Medicine Research. 2018;7 (1): 8-17.
[16]	Manikandan C. and Amsath A. Antibiotic susceptibility of bacterial strains isolated from wound infection patients in Pattukkottai, Tamilnadu. India Int. J. Curr. Microbiol. App. Sci. 2013; 2(6): 195-203.
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APA Style

Messele Admassie, Estifanos Tsige, Meseret Chanie. (2018). Isolation, Identification and Antibiotic Susceptibility Pattern of Bacteria Isolated from Wounds of Patients Attending at Arsho Advanced Medical Laboratory. Science Journal of Clinical Medicine, 7(2), 20-24. https://doi.org/10.11648/j.sjcm.20180702.12

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ACS Style

Messele Admassie; Estifanos Tsige; Meseret Chanie. Isolation, Identification and Antibiotic Susceptibility Pattern of Bacteria Isolated from Wounds of Patients Attending at Arsho Advanced Medical Laboratory. Sci. J. Clin. Med. 2018, 7(2), 20-24. doi: 10.11648/j.sjcm.20180702.12

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AMA Style

Messele Admassie, Estifanos Tsige, Meseret Chanie. Isolation, Identification and Antibiotic Susceptibility Pattern of Bacteria Isolated from Wounds of Patients Attending at Arsho Advanced Medical Laboratory. Sci J Clin Med. 2018;7(2):20-24. doi: 10.11648/j.sjcm.20180702.12

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@article{10.11648/j.sjcm.20180702.12,
  author = {Messele Admassie and Estifanos Tsige and Meseret Chanie},
  title = {Isolation, Identification and Antibiotic Susceptibility Pattern of Bacteria Isolated from Wounds of Patients Attending at Arsho Advanced Medical Laboratory},
  journal = {Science Journal of Clinical Medicine},
  volume = {7},
  number = {2},
  pages = {20-24},
  doi = {10.11648/j.sjcm.20180702.12},
  url = {https://doi.org/10.11648/j.sjcm.20180702.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjcm.20180702.12},
  abstract = {Wound infections cause clinical and societal consequences on the patients, but its bacteriological characteristicvaries with different factors. Therefore, effective treatment and management of wound infections in hospital and communitysetting will require detailed epidemiological knowledge of the infecting bacterial pathogens and their antibiogramunusual to theenvironment. Based on this information, we examined the frequency and antibiogram of bacterial pathogens isolated from woundinfection cases seen at ArshoAdvancedmedical laboratory over the study period. A total of 259 wound swabs/ and pus of different types of woundinfections from different anatomical sites were analyzed by standard bacteriological methods. Of the 259 clinical specimens analyzed, 177 (68.4%) yielded at least one bacterial pathogens, 6(2.3%) were polymicrobial, and 82(31.6%) yielded no bacterial growth. Overall, 20 different bacterial pathogens were identified 15 (75%) gram-negative bacteria isolates and 5(25%) gram-positive bacterial isolated. Staphylococcus aureus accounted formajority of the bacterial pathogens isolated, 86 (48.6% followed by E.coli20 (11.3%, and Citrobacterspp. 17(9.6%). The bacterial pathogens demonstrated high resistance to amoxicillin (79.7 %%), ampicillin (78.3%), and tetracycline (73.1%), in contrastto high sensitivity pattern observed with Meropinem (94.5%), Levofloxacin (87%), Amikacin (82.4%), and Ceftazidime (72.7%). Amikacin, meropenem and levofloxacin were the most effective drugs against the tested gram- positive and -negative bacteria and should be considered in empirical antibiotic selection.},
 year = {2018}
}

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TY  - JOUR
T1  - Isolation, Identification and Antibiotic Susceptibility Pattern of Bacteria Isolated from Wounds of Patients Attending at Arsho Advanced Medical Laboratory
AU  - Messele Admassie
AU  - Estifanos Tsige
AU  - Meseret Chanie
Y1  - 2018/05/11
PY  - 2018
N1  - https://doi.org/10.11648/j.sjcm.20180702.12
DO  - 10.11648/j.sjcm.20180702.12
T2  - Science Journal of Clinical Medicine
JF  - Science Journal of Clinical Medicine
JO  - Science Journal of Clinical Medicine
SP  - 20
EP  - 24
PB  - Science Publishing Group
SN  - 2327-2732
UR  - https://doi.org/10.11648/j.sjcm.20180702.12
AB  - Wound infections cause clinical and societal consequences on the patients, but its bacteriological characteristicvaries with different factors. Therefore, effective treatment and management of wound infections in hospital and communitysetting will require detailed epidemiological knowledge of the infecting bacterial pathogens and their antibiogramunusual to theenvironment. Based on this information, we examined the frequency and antibiogram of bacterial pathogens isolated from woundinfection cases seen at ArshoAdvancedmedical laboratory over the study period. A total of 259 wound swabs/ and pus of different types of woundinfections from different anatomical sites were analyzed by standard bacteriological methods. Of the 259 clinical specimens analyzed, 177 (68.4%) yielded at least one bacterial pathogens, 6(2.3%) were polymicrobial, and 82(31.6%) yielded no bacterial growth. Overall, 20 different bacterial pathogens were identified 15 (75%) gram-negative bacteria isolates and 5(25%) gram-positive bacterial isolated. Staphylococcus aureus accounted formajority of the bacterial pathogens isolated, 86 (48.6% followed by E.coli20 (11.3%, and Citrobacterspp. 17(9.6%). The bacterial pathogens demonstrated high resistance to amoxicillin (79.7 %%), ampicillin (78.3%), and tetracycline (73.1%), in contrastto high sensitivity pattern observed with Meropinem (94.5%), Levofloxacin (87%), Amikacin (82.4%), and Ceftazidime (72.7%). Amikacin, meropenem and levofloxacin were the most effective drugs against the tested gram- positive and -negative bacteria and should be considered in empirical antibiotic selection.
VL  - 7
IS  - 2
ER  -

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Author Information

Messele Admassie

Department of Microbiology, Arsho Advanced Medical Laboratory, Addis Ababa, Ethiopia
Estifanos Tsige

Department of Microbiology, Arsho Advanced Medical Laboratory, Addis Ababa, Ethiopia
Meseret Chanie

Department of Microbiology, Arsho Advanced Medical Laboratory, Addis Ababa, Ethiopia

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APA Style

Messele Admassie, Estifanos Tsige, Meseret Chanie. (2018). Isolation, Identification and Antibiotic Susceptibility Pattern of Bacteria Isolated from Wounds of Patients Attending at Arsho Advanced Medical Laboratory. Science Journal of Clinical Medicine, 7(2), 20-24. https://doi.org/10.11648/j.sjcm.20180702.12

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ACS Style

Messele Admassie; Estifanos Tsige; Meseret Chanie. Isolation, Identification and Antibiotic Susceptibility Pattern of Bacteria Isolated from Wounds of Patients Attending at Arsho Advanced Medical Laboratory. Sci. J. Clin. Med. 2018, 7(2), 20-24. doi: 10.11648/j.sjcm.20180702.12

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AMA Style

Messele Admassie, Estifanos Tsige, Meseret Chanie. Isolation, Identification and Antibiotic Susceptibility Pattern of Bacteria Isolated from Wounds of Patients Attending at Arsho Advanced Medical Laboratory. Sci J Clin Med. 2018;7(2):20-24. doi: 10.11648/j.sjcm.20180702.12

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@article{10.11648/j.sjcm.20180702.12,
  author = {Messele Admassie and Estifanos Tsige and Meseret Chanie},
  title = {Isolation, Identification and Antibiotic Susceptibility Pattern of Bacteria Isolated from Wounds of Patients Attending at Arsho Advanced Medical Laboratory},
  journal = {Science Journal of Clinical Medicine},
  volume = {7},
  number = {2},
  pages = {20-24},
  doi = {10.11648/j.sjcm.20180702.12},
  url = {https://doi.org/10.11648/j.sjcm.20180702.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjcm.20180702.12},
  abstract = {Wound infections cause clinical and societal consequences on the patients, but its bacteriological characteristicvaries with different factors. Therefore, effective treatment and management of wound infections in hospital and communitysetting will require detailed epidemiological knowledge of the infecting bacterial pathogens and their antibiogramunusual to theenvironment. Based on this information, we examined the frequency and antibiogram of bacterial pathogens isolated from woundinfection cases seen at ArshoAdvancedmedical laboratory over the study period. A total of 259 wound swabs/ and pus of different types of woundinfections from different anatomical sites were analyzed by standard bacteriological methods. Of the 259 clinical specimens analyzed, 177 (68.4%) yielded at least one bacterial pathogens, 6(2.3%) were polymicrobial, and 82(31.6%) yielded no bacterial growth. Overall, 20 different bacterial pathogens were identified 15 (75%) gram-negative bacteria isolates and 5(25%) gram-positive bacterial isolated. Staphylococcus aureus accounted formajority of the bacterial pathogens isolated, 86 (48.6% followed by E.coli20 (11.3%, and Citrobacterspp. 17(9.6%). The bacterial pathogens demonstrated high resistance to amoxicillin (79.7 %%), ampicillin (78.3%), and tetracycline (73.1%), in contrastto high sensitivity pattern observed with Meropinem (94.5%), Levofloxacin (87%), Amikacin (82.4%), and Ceftazidime (72.7%). Amikacin, meropenem and levofloxacin were the most effective drugs against the tested gram- positive and -negative bacteria and should be considered in empirical antibiotic selection.},
 year = {2018}
}

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TY  - JOUR
T1  - Isolation, Identification and Antibiotic Susceptibility Pattern of Bacteria Isolated from Wounds of Patients Attending at Arsho Advanced Medical Laboratory
AU  - Messele Admassie
AU  - Estifanos Tsige
AU  - Meseret Chanie
Y1  - 2018/05/11
PY  - 2018
N1  - https://doi.org/10.11648/j.sjcm.20180702.12
DO  - 10.11648/j.sjcm.20180702.12
T2  - Science Journal of Clinical Medicine
JF  - Science Journal of Clinical Medicine
JO  - Science Journal of Clinical Medicine
SP  - 20
EP  - 24
PB  - Science Publishing Group
SN  - 2327-2732
UR  - https://doi.org/10.11648/j.sjcm.20180702.12
AB  - Wound infections cause clinical and societal consequences on the patients, but its bacteriological characteristicvaries with different factors. Therefore, effective treatment and management of wound infections in hospital and communitysetting will require detailed epidemiological knowledge of the infecting bacterial pathogens and their antibiogramunusual to theenvironment. Based on this information, we examined the frequency and antibiogram of bacterial pathogens isolated from woundinfection cases seen at ArshoAdvancedmedical laboratory over the study period. A total of 259 wound swabs/ and pus of different types of woundinfections from different anatomical sites were analyzed by standard bacteriological methods. Of the 259 clinical specimens analyzed, 177 (68.4%) yielded at least one bacterial pathogens, 6(2.3%) were polymicrobial, and 82(31.6%) yielded no bacterial growth. Overall, 20 different bacterial pathogens were identified 15 (75%) gram-negative bacteria isolates and 5(25%) gram-positive bacterial isolated. Staphylococcus aureus accounted formajority of the bacterial pathogens isolated, 86 (48.6% followed by E.coli20 (11.3%, and Citrobacterspp. 17(9.6%). The bacterial pathogens demonstrated high resistance to amoxicillin (79.7 %%), ampicillin (78.3%), and tetracycline (73.1%), in contrastto high sensitivity pattern observed with Meropinem (94.5%), Levofloxacin (87%), Amikacin (82.4%), and Ceftazidime (72.7%). Amikacin, meropenem and levofloxacin were the most effective drugs against the tested gram- positive and -negative bacteria and should be considered in empirical antibiotic selection.
VL  - 7
IS  - 2
ER  -

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