Identification of Risk Factors Associated with Resistant<i> Escherichia coli </i>Isolates from Poultry Farms in the East Coast of Peninsular Malaysia: A Cross Sectional Study

Antimicrobial resistance is of concern to global health security worldwide. We aimed to identify the prevalence, resistance patterns, and risk factors associated with <i>Escherichia coli </i>(<i>E. coli</i>) resistance from poultry farms in Kelantan, Terengganu, and Pahang st...

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Main Authors: Sharifo Ali Elmi, David Simons, Linzy Elton, Najmul Haider, Muzamil Mahdi Abdel Hamid, Yassir Adam Shuaib, Mohd Azam Khan, Iekhsan Othman, Richard Kock, Abdinasir Yusuf Osman
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Antibiotics
Subjects:
Online Access:https://www.mdpi.com/2079-6382/10/2/117
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language English
format Article
sources DOAJ
author Sharifo Ali Elmi
David Simons
Linzy Elton
Najmul Haider
Muzamil Mahdi Abdel Hamid
Yassir Adam Shuaib
Mohd Azam Khan
Iekhsan Othman
Richard Kock
Abdinasir Yusuf Osman
spellingShingle Sharifo Ali Elmi
David Simons
Linzy Elton
Najmul Haider
Muzamil Mahdi Abdel Hamid
Yassir Adam Shuaib
Mohd Azam Khan
Iekhsan Othman
Richard Kock
Abdinasir Yusuf Osman
Identification of Risk Factors Associated with Resistant<i> Escherichia coli </i>Isolates from Poultry Farms in the East Coast of Peninsular Malaysia: A Cross Sectional Study
Antibiotics
antimicrobial resistant
<i>Escherichia coli</i>
distribution
poultry farms
environment
east coast of peninsular Malaysia
author_facet Sharifo Ali Elmi
David Simons
Linzy Elton
Najmul Haider
Muzamil Mahdi Abdel Hamid
Yassir Adam Shuaib
Mohd Azam Khan
Iekhsan Othman
Richard Kock
Abdinasir Yusuf Osman
author_sort Sharifo Ali Elmi
title Identification of Risk Factors Associated with Resistant<i> Escherichia coli </i>Isolates from Poultry Farms in the East Coast of Peninsular Malaysia: A Cross Sectional Study
title_short Identification of Risk Factors Associated with Resistant<i> Escherichia coli </i>Isolates from Poultry Farms in the East Coast of Peninsular Malaysia: A Cross Sectional Study
title_full Identification of Risk Factors Associated with Resistant<i> Escherichia coli </i>Isolates from Poultry Farms in the East Coast of Peninsular Malaysia: A Cross Sectional Study
title_fullStr Identification of Risk Factors Associated with Resistant<i> Escherichia coli </i>Isolates from Poultry Farms in the East Coast of Peninsular Malaysia: A Cross Sectional Study
title_full_unstemmed Identification of Risk Factors Associated with Resistant<i> Escherichia coli </i>Isolates from Poultry Farms in the East Coast of Peninsular Malaysia: A Cross Sectional Study
title_sort identification of risk factors associated with resistant<i> escherichia coli </i>isolates from poultry farms in the east coast of peninsular malaysia: a cross sectional study
publisher MDPI AG
series Antibiotics
issn 2079-6382
publishDate 2021-01-01
description Antimicrobial resistance is of concern to global health security worldwide. We aimed to identify the prevalence, resistance patterns, and risk factors associated with <i>Escherichia coli </i>(<i>E. coli</i>) resistance from poultry farms in Kelantan, Terengganu, and Pahang states of east coast peninsular Malaysia. Between 8 February 2019 and 23 February 2020, a total of 371 samples (cloacal swabs = 259; faecal = 84; Sewage = 14, Tap water = 14) were collected. Characteristics of the sampled farms including management type, biosecurity, and history of disease were obtained using semi-structured questionnaire. Presumptive <i>E. coli </i>isolates were identified based on colony morphology with subsequent biochemical and PCR confirmation. Susceptibility of isolates was tested against a panel of 12 antimicrobials and interpreted alongside risk factor data obtained from the surveys. We isolated 717 <i>E. coli</i> samples from poultry and environmental samples. Our findings revealed that cloacal (17.8%, 46/259), faecal (22.6%, 19/84), sewage (14.3%, 2/14) and tap water (7.1%, 1/14) were significantly (<i>p</i> < 0.003) resistant to at least three classes of antimicrobials. Resistance to tetracycline class were predominantly observed in faecal samples (69%, 58/84), followed by cloacal (64.1%, 166/259), sewage (35.7%, 5/14), and tap water (7.1%, 1/84), respectively. Sewage water (OR = 7.22, 95% CI = 0.95–151.21) had significant association with antimicrobial resistance (AMR) acquisition. Multivariate regression analysis identified that the risk factors including sewage samples (OR = 7.43, 95% CI = 0.96–156.87) and farm size are leading drivers of <i>E. coli</i> antimicrobial resistance in the participating states of east coast peninsular Malaysia. We observed that the resistance patterns of <i>E. coli</i> isolates against 12 panel antimicrobials are generally similar in all selected states of east coast peninsular Malaysia. The highest prevalence of resistance was recorded in tetracycline (91.2%), oxytetracycline (89.1%), sulfamethoxazole/trimethoprim (73.1%), doxycycline (63%), and sulfamethoxazole (63%). A close association between different risk factors and the high prevalence of antimicrobial-resistant <i>E. coli</i> strains reflects increased exposure to resistant bacteria and suggests a concern over rising misuse of veterinary antimicrobials that may contribute to the future threat of emergence of multidrug-resistant pathogen isolates. Public health interventions to limit antimicrobial resistance need to be tailored to local poultry farm practices that affect bacterial transmission.
topic antimicrobial resistant
<i>Escherichia coli</i>
distribution
poultry farms
environment
east coast of peninsular Malaysia
url https://www.mdpi.com/2079-6382/10/2/117
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spelling doaj-3176ea1d34784b9fa6bb8a27abb61e2d2021-01-27T00:03:32ZengMDPI AGAntibiotics2079-63822021-01-011011711710.3390/antibiotics10020117Identification of Risk Factors Associated with Resistant<i> Escherichia coli </i>Isolates from Poultry Farms in the East Coast of Peninsular Malaysia: A Cross Sectional StudySharifo Ali Elmi0David Simons1Linzy Elton2Najmul Haider3Muzamil Mahdi Abdel Hamid4Yassir Adam Shuaib5Mohd Azam Khan6Iekhsan Othman7Richard Kock8Abdinasir Yusuf Osman9Faculty of Veterinary Medicine, Universiti Malaysia Kelantan, Pengkalan Chepa, Kota Bharu, Kelantan 16100, MalaysiaThe Royal Veterinary College, University of London, Hawkshead Lane, North Mymms, Hatfield, Hertfordshire AL9 7TA, UKCentre for Clinical Microbiology, University College London, London NW3 2PF, UKThe Royal Veterinary College, University of London, Hawkshead Lane, North Mymms, Hatfield, Hertfordshire AL9 7TA, UKInstitute of Endemic Diseases, University of Khartoum, Khartoum 11111, SudanCollege of Veterinary Medicine, Sudan University of Science and Technology, Hilat Kuku, Khartoum North 13321, SudanFaculty of Veterinary Medicine, Universiti Malaysia Kelantan, Pengkalan Chepa, Kota Bharu, Kelantan 16100, MalaysiaJeffrey Cheah School of Medicine and Health Sciences, Monash University, Selangor 47500, MalaysiaThe Royal Veterinary College, University of London, Hawkshead Lane, North Mymms, Hatfield, Hertfordshire AL9 7TA, UKThe Royal Veterinary College, University of London, Hawkshead Lane, North Mymms, Hatfield, Hertfordshire AL9 7TA, UKAntimicrobial resistance is of concern to global health security worldwide. We aimed to identify the prevalence, resistance patterns, and risk factors associated with <i>Escherichia coli </i>(<i>E. coli</i>) resistance from poultry farms in Kelantan, Terengganu, and Pahang states of east coast peninsular Malaysia. Between 8 February 2019 and 23 February 2020, a total of 371 samples (cloacal swabs = 259; faecal = 84; Sewage = 14, Tap water = 14) were collected. Characteristics of the sampled farms including management type, biosecurity, and history of disease were obtained using semi-structured questionnaire. Presumptive <i>E. coli </i>isolates were identified based on colony morphology with subsequent biochemical and PCR confirmation. Susceptibility of isolates was tested against a panel of 12 antimicrobials and interpreted alongside risk factor data obtained from the surveys. We isolated 717 <i>E. coli</i> samples from poultry and environmental samples. Our findings revealed that cloacal (17.8%, 46/259), faecal (22.6%, 19/84), sewage (14.3%, 2/14) and tap water (7.1%, 1/14) were significantly (<i>p</i> < 0.003) resistant to at least three classes of antimicrobials. Resistance to tetracycline class were predominantly observed in faecal samples (69%, 58/84), followed by cloacal (64.1%, 166/259), sewage (35.7%, 5/14), and tap water (7.1%, 1/84), respectively. Sewage water (OR = 7.22, 95% CI = 0.95–151.21) had significant association with antimicrobial resistance (AMR) acquisition. Multivariate regression analysis identified that the risk factors including sewage samples (OR = 7.43, 95% CI = 0.96–156.87) and farm size are leading drivers of <i>E. coli</i> antimicrobial resistance in the participating states of east coast peninsular Malaysia. We observed that the resistance patterns of <i>E. coli</i> isolates against 12 panel antimicrobials are generally similar in all selected states of east coast peninsular Malaysia. The highest prevalence of resistance was recorded in tetracycline (91.2%), oxytetracycline (89.1%), sulfamethoxazole/trimethoprim (73.1%), doxycycline (63%), and sulfamethoxazole (63%). A close association between different risk factors and the high prevalence of antimicrobial-resistant <i>E. coli</i> strains reflects increased exposure to resistant bacteria and suggests a concern over rising misuse of veterinary antimicrobials that may contribute to the future threat of emergence of multidrug-resistant pathogen isolates. Public health interventions to limit antimicrobial resistance need to be tailored to local poultry farm practices that affect bacterial transmission.https://www.mdpi.com/2079-6382/10/2/117antimicrobial resistant<i>Escherichia coli</i>distributionpoultry farmsenvironmenteast coast of peninsular Malaysia