Characterisation of Bacterial Isolates from Infected Post-Operative Patients in a Malaysian Tertiary Heart Care Centre.
Yi Keng YongNicole Ce Mun WenGenieve Ee Chia YeoZhi Xin ChewLi Li ChanNoor Zaitulakma Md ZainDinesh Kumar ChellappanYun Khoon LiewPublished in: International journal of environmental research and public health (2021)
Several bacterial species cause post-operative infections, which has been a critical health concern among hospital patients. Our study in this direction is a much-needed exploratory study that was carried out at the National Heart Institute (IJN) of Malaysia to examine the virulence properties of causative bacteria obtained from postoperative patients. The bacterial isolates and data were provided by the IJN. Antibiotic resistance gene patterns, and the ability to form biofilm were investigated for 127 isolates. Klebsiella pneumoniae (36.2%) was the most common isolate collected, which was followed by Pseudomonas aeruginosa (26%), Staphylococcus aureus (23.6%), Streptococcus spp. (8.7%) and Acinetobacter baumannii (5.5%). There were 49 isolates that showed the presence of multidrug resistance genes. The mecA gene was surprisingly found in methicillin-susceptible S. aureus (MSSA), which also carried the ermA gene from those erythromycin-susceptible strains. The phenotypic antibiotic resistance profiles varied greatly between isolates. Findings from the biofilm assay revealed that 44 of the 127 isolates demonstrated the ability to produce biofilms. Our findings provide insights into the possibility of some of these bacteria surviving under antibiotic stress, and some antibiotic resistance genes being silenced.
Keyphrases
- pseudomonas aeruginosa
- staphylococcus aureus
- end stage renal disease
- acinetobacter baumannii
- biofilm formation
- ejection fraction
- healthcare
- newly diagnosed
- escherichia coli
- chronic kidney disease
- heart failure
- genome wide
- candida albicans
- peritoneal dialysis
- genetic diversity
- prognostic factors
- multidrug resistant
- public health
- drug resistant
- emergency department
- quality improvement
- atrial fibrillation
- copy number
- risk assessment
- patients undergoing
- wastewater treatment
- machine learning
- high throughput
- data analysis
- big data
- transcription factor
- electronic health record
- heat stress
- anaerobic digestion
- affordable care act