Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Research Protocols

Date Submitted: Aug 29, 2022
Date Accepted: Feb 28, 2023

The final, peer-reviewed published version of this preprint can be found here:

Prevalence of Antibiotic-Resistant Pathogenic Bacteria and Level of Antibiotic Residues in Hospital Effluents in Selangor, Malaysia: Protocol for a Cross-sectional Study

Bakon SK, Mohamad ZA, Jamilan MA, Hashim H, Kuman MY, Shaharudin R, Ahmad N, Muhamad NA

Prevalence of Antibiotic-Resistant Pathogenic Bacteria and Level of Antibiotic Residues in Hospital Effluents in Selangor, Malaysia: Protocol for a Cross-sectional Study

JMIR Res Protoc 2023;12:e39022

DOI: 10.2196/39022

PMID: 37247207

PMCID: 10263467

Prevalence of antibiotics resistant pathogenic bacteria and level of antibiotic residues in the hospital effluents in Selangor: study protocol

  • Sophia Karen Bakon; 
  • Zuraifah Asrah Mohamad; 
  • Mohd Azerulazree Jamilan; 
  • Hazimah Hashim; 
  • Mohammed Yazid Kuman; 
  • Rafiza Shaharudin; 
  • Norazah Ahmad; 
  • Nor Asiah Muhamad

ABSTRACT

Background:

Antimicrobial resistance (AMR) has emerged as one of public health challenges globally due to overused and misused of antibiotics by human and animals. Hospital is known to be one of highly antibiotic users.

Objective:

To determine the prevalence of antibiotics resistant pathogenic bacteria and level of antibiotic residues in the hospital’s effluent in Selangor, Malaysia.

Methods:

A cross-sectional study will be conducted in tertiary hospitals in Selangor, Malaysia. The hospital will be identified based on the inclusion and exclusion criteria of the study. The methods are divided into three sections; Sample collection, microbiological analysis and, chemical analysis. Microbiological analysis such as isolation of bacteria from the effluent by culture on selective media plates will be performed. An antibiotic sensitivity testing will be performed on the grown bacteria. The identified bacteria will be confirmed using 16sRNA PCR and Multiplex PCR will be performed to detect the resistant genes. Finally, the level of antibiotic residues will be measured using Ultra High Performance Liquid Chromatography (UHPLC)

Results:

The expected outcome will be the prevalence of antibiotic resistant 'ESKAPE' bacteria from the hospital’s effluent and the occurrence of the antibiotic resistant genes (ARGs) from the isolated ESKAPE bacteria and the level of antibiotic residues that may be detected from the effluent. Sampling has been conducted in three hospitals. As in July 2022, 80% of Enterococcus faecium were resistance against vancomycin and 10% of were resistance against ciprofloxacin from one hospital. Further analysis will be conducted to determine if the isolates are possessing any antibiotic resistant genes and effluent samples are being analyzed to detect antibiotic residues in the effluent samples. Sampling activities will be resumed actively after suspended due to COVID-19 pandemic and scheduled to end by December 2022.

Conclusions:

This study will be the first baseline information to elucidate the current status of AMR of highly pathogenic bacteria that present in the hospital effluent in Malaysia.


 Citation

Please cite as:

Bakon SK, Mohamad ZA, Jamilan MA, Hashim H, Kuman MY, Shaharudin R, Ahmad N, Muhamad NA

Prevalence of Antibiotic-Resistant Pathogenic Bacteria and Level of Antibiotic Residues in Hospital Effluents in Selangor, Malaysia: Protocol for a Cross-sectional Study

JMIR Res Protoc 2023;12:e39022

DOI: 10.2196/39022

PMID: 37247207

PMCID: 10263467

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.