Detection of Biofilm Production and Antibiotic Resistance Pattern In Clinical Isolates from Indwelling Medical Devices

Document Type : Original Article

Authors

1 Laboratory of Molecular Microbiology Health and Proteomics, Biology Department, Faculty of Natural Sciences and Life, Djillali Liabés University of Sidi-Bel-Abbés, BP No. 89 Sidi-Bel-Abbés 22000 Algeria.

2 Laboratory of Molecular Microbiology Health and Proteomics, Biology Department, Faculty of Natural Sciences and Life, Djillali Liabes University of Sidi-Bel-Abbes, BP No. 89 Sidi-Bel-Abbes 22000 Algeria.

3 Laboratory of Biogeochemistry in a Desert Environment, Biology Department of, Faculty of Nature Sciences and Life, University of Ouargla, Algeria.

Abstract

Microbial biofilms pose a great threat for patients requiring indwelling medical devices (IMDs), as it is difficult to remove them. It is, therefore, crucial to follow an appropriate method for the detection of biofilms. The present study focuses on the detection of biofilm formation among the isolates from IMDs. We also aimed to explore the antibiogram of biofilm producers. This prospective analysis included 104 prosthetic samples. After isolation and identification of bacteria following standard methodology, an antibiogram of the isolates was produced following the disc diffusion method. Detection of biofilms was performed by tissue culture plate (TCP), tube adherence (TA) and Congo red agar methods. Over a period of study, 104 IMDs were removed from 78 patients with implantable devices infections. Eighty bacterial strains were isolated and identified, with coagulase-negative staphylococci being the predominant bacteria with 57.5% (46/80). There was a positive correlation between biofilm production and antimicrobial resistance, with the -strongest biofilm producers resistant to more than one antibiotic. For the detection of biofilm production, TA method can be an economical and effective alternative to TCP method. A greater understanding of biofilm detection in pathogen bacteriawill help in the development of newer and more effective treatments. The detection of biofilm formation and antibiotic susceptibility patterns helps in choosing the correct antibiotic therapy.

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