Antibiogram Profile of Enteric Pathogens Isolated from Fomites in Cross River University of Technology Medical Centre, Calabar, Nigeria
Article
| IMSEAR
| ID: sea-219345
Background: Healthcare environments are considered as potential reservoirs for pathogenic microorganisms especially those responsible for nosocomial infections. Such microorganisms often present with varying degrees of drugs resistance. This study was aimed at evaluating the Cross River University of Technology (CRUTECH) Medical Center Environment for the presence of pathogenic bacterial contaminants and antibiotics susceptibility profile of such isolates. Materials and Methodology: A total of 72 swab samples were collected from nineteen frequently touched hospital surfaces and processed using the standard bacteriological procedures. The emergent bacterial colonies were identified using phenotypic and biochemical tests. Antibiotic susceptibility testing of the presumptively identified isolates was carried out using Kirby-Bauer抯 method. Results: Out of 72 swab samples collected, 44 (61.1%) were positive for Enteric bacterial pathogens. The mean viable count ranged from 1.8 x 106 Cfu/cm2 (weighing scales) to 2.41 x 107 Cfu/cm2 (wash sinks). The most prevalent isolate was E. coli (48 of 127, 37.8%) followed by Klebseilla sp (27 of 127, 21.3%), Salmonella sp (19 of 127, 14.9%), Proteus sp (12 of 127, 9.4%), Citrobacter sp (11 of 127, 8.7%), Enterobacter sp (7 of 127, 5.5%) while Shigella sp (3 of 127, 2.4%) was least isolated. Isolates demonstrated high level of susceptibility to Norfloxacin 124 (97.6%), Imipenem 116 (91.3%) and Chloramphenicol 105 (82.7%). Resistance to Erythromycin was 95 (74.8%), Gentamycin 84 (66.1%) and Amikacin 82 (64.6%). Conclusion: Contamination of healthcare surfaces by multi-drugs resistant pathogens is a potential risk, especially to hospitalized patients and health care workers. Thus, it is therefore imperative that appropriate hygienic measures be implemented to suppress any potential microbial cross-contamination.
Full text:
1
Index:
IMSEAR
Year:
2022
Type:
Article