High prevalence of multidrug-resistant bacteria in the trachea of intensive care units admitted patients: Evidence from a Bangladeshi hospital

bracu.type.groupResearch Publications
datacite.rightsOpen Access
dc.contributor.authorHaque, Sabrina
dc.contributor.authorAhmed, Akash
dc.contributor.authorIslam N.
dc.contributor.authorHaque, Fahim Kabir Monjurul
dc.contributor.departmentDepartment of Mathematics and Natural Sciences
dc.date.accessioned2026-10-10T05:57:12Z
dc.date.available2026-10-10T05:57:12Z
dc.date.issued2024-01-01
dc.description.abstractRecent research has shown that antibiotic-resistant microorganisms are becoming more prevalent in intensive care units (ICUs) at an exponential rate. Patients in the ICU can get infected by pathogens due to invasive operation procedures and critical health conditions. This study primarily emphasized tracheal samples from ICU patients due to their reliance on ventilators, increasing their susceptibility to Ventilator-Associated Pneumonia (VAP). Moreover, the rise of multidrug-resistant (MDR) pathogens makes treatment strategies more challenging for these patients. In this study, we tested 200 tracheal specimens to determine the prevalence of microorganisms and analyzed the antibiotic susceptibility of these isolates against regular antibiotics, including 4th generation drugs. Among the 273 isolates, 81% were gram-negative bacteria, 10% were gram-positive bacteria, and 9% were fungi. The most prevalent gram-negative bacteria were Acinetobacter spp. (34%), Klebsiella spp. (22%), Pseudomonas spp. (14%), and Escherichia coli (9.2%). The most prevalent gram-positive bacteria were Staphylococcus aureus (5.9%), and the fungi were Candida spp. (7.3%). Among the most prevalent bacteria, except Staphylococcus aureus isolates, around 90% were resistant to multiple drugs, whereas 60% of Acinetobacter spp. and Pseudomonas spp. were extensively drug resistant. Sensitivity analysis against the gram-negative and gram-positive drug panel using a one-way ANOVA test followed by Tukey’s post hoc test showed that in the in vitro assay, colistin was the most effective antibiotic against all gram-negative bacteria. In contrast, linezolid, vancomycin, and fusidic acid were most effective against all gram-positive bacteria. Regular monitoring of nosocomial infections and safe management of highly resistant bacteria can help prevent future pandemics.
dc.description.versionPublished
dc.format.extent14 pages
dc.identifier.citationHaque, S., Ahmed, A., Islam, N., & Haque, F. K. M. (2024). High Prevalence of Multidrug-Resistant Bacteria in the Trachea of Intensive Care Units Admitted Patients: Evidence from a Bangladeshi Hospital. Antibiotics, 13(1), 62. https://doi.org/10.3390/antibiotics13010062
dc.identifier.doi10.3390/antibiotics13010062
dc.identifier.issn20796382
dc.identifier.other2-s2.0-85183425461
dc.identifier.urihttps://hdl.handle.net/10361/30577
dc.language.isoen_US
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.hasversion10.3390/antibiotics13010062
dc.relation.ispartofAntibiotics
dc.relation.ispartofseriesAntibiotics
dc.relation.journalAntibiotics
dc.relation.urihttps://www.mdpi.com/2079-6382/13/1/62
dc.subjectEffective antibiotic
dc.subjectICU patient
dc.subjectMultidrug-resistant bacteria
dc.subject.lcshDrug resistance in microorganisms.
dc.subject.lcshNosocomial infections--Prevention.
dc.subject.lcshNosocomial infections.
dc.subject.lcshHospital buildings--Sanitation.
dc.subject.lcshIntensive care units.
dc.titleHigh prevalence of multidrug-resistant bacteria in the trachea of intensive care units admitted patients: Evidence from a Bangladeshi hospital
dc.typeArticle
oaire.citation.issue1
oaire.citation.volume13
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameIbn Sina Diagnostic and Imaging Center
person.affiliation.nameBRAC University
person.identifier.orcid0000-0002-0679-0635
person.identifier.orcid0000-0001-6347-1836
person.identifier.scopus-author-id58849379900
person.identifier.scopus-author-id57321152800
person.identifier.scopus-author-id58849147900
person.identifier.scopus-author-id57814124500

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