Antibiogram of urinary tract pathogens in a tertiary hospital in south-south Nigeria
Background: Antibiograms represent the antimicrobial susceptibility patterns of bacterial isolates in a given healthcare setting and guides the selection of empiric antimicrobial therapy. Repeated antibiograms over time can be used to ascertain resistance trends of microbes. There is paucity of dat...
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| Format: | Article |
| Language: | English |
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Nigerian Medical Association, Akwa Ibom State Branch
2021-04-01
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| Series: | Ibom Medical Journal |
| Subjects: | |
| Online Access: | https://ibommedicaljournal.org/index.php/imjhome/article/view/62 |
| _version_ | 1797271912133427200 |
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| author | Onukak AE Udoette SB Ekuma AE |
| author_facet | Onukak AE Udoette SB Ekuma AE |
| author_sort | Onukak AE |
| collection | DOAJ |
| description |
Background: Antibiograms represent the antimicrobial susceptibility patterns of bacterial isolates in a given healthcare setting and guides the selection of empiric antimicrobial therapy. Repeated antibiograms over time can be used to ascertain resistance trends of microbes. There is paucity of data on the antibiogram of urinary isolates in Nigeria.
Objective: This study aimed to determine the antibiogram of urinary isolates in a tertiary hospital.
Materials and Methods: A review of records of mid-stream urine samples received in the Medical Microbiology Laboratory and analysed for pathogen identification and subsequent antimicrobial susceptibility testing over a 4 month period, was carried out. Multiple antibiotic resistance (MAR) index for each isolate was calculated and data was summarized on SPSS 20 using descriptive statistics.
Results: Out of the 959 urine samples submitted to the laboratory during the study period, 283 (29.5%) had positive cultures. Escherichia coli and Klebsiella pneumonia were the most frequently isolated organisms. The total mean MAR index was 0.61 ± 0.30. Providencia spp had the highest mean MAR index of 0.82 ± 0.26, followed by Klebsiella spp and Pseudomonas aeruginosa with mean MAR index of 0.68 ± 0.28 and 0.64 ± 0.32 respectively.
Conclusion: There is a high level of resistance to commonly prescribed antibiotics among UTI pathogens in the hospital. Antimicrobial stewardship strategies are needed to address this negative trend.
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| first_indexed | 2024-03-07T14:16:58Z |
| format | Article |
| id | doaj.art-e6c64c79320045f78fa98ff48a249799 |
| institution | Directory Open Access Journal |
| issn | 1597-7188 2735-9964 |
| language | English |
| last_indexed | 2024-03-07T14:16:58Z |
| publishDate | 2021-04-01 |
| publisher | Nigerian Medical Association, Akwa Ibom State Branch |
| record_format | Article |
| series | Ibom Medical Journal |
| spelling | doaj.art-e6c64c79320045f78fa98ff48a2497992024-03-06T12:03:30ZengNigerian Medical Association, Akwa Ibom State BranchIbom Medical Journal1597-71882735-99642021-04-0114210.61386/imj.v14i2.62Antibiogram of urinary tract pathogens in a tertiary hospital in south-south NigeriaOnukak AE0Udoette SBEkuma AEDepartment of Internal Medicine, University of Uyo Teaching Hospital, Uyo, Akwa Ibom, Nigeria Background: Antibiograms represent the antimicrobial susceptibility patterns of bacterial isolates in a given healthcare setting and guides the selection of empiric antimicrobial therapy. Repeated antibiograms over time can be used to ascertain resistance trends of microbes. There is paucity of data on the antibiogram of urinary isolates in Nigeria. Objective: This study aimed to determine the antibiogram of urinary isolates in a tertiary hospital. Materials and Methods: A review of records of mid-stream urine samples received in the Medical Microbiology Laboratory and analysed for pathogen identification and subsequent antimicrobial susceptibility testing over a 4 month period, was carried out. Multiple antibiotic resistance (MAR) index for each isolate was calculated and data was summarized on SPSS 20 using descriptive statistics. Results: Out of the 959 urine samples submitted to the laboratory during the study period, 283 (29.5%) had positive cultures. Escherichia coli and Klebsiella pneumonia were the most frequently isolated organisms. The total mean MAR index was 0.61 ± 0.30. Providencia spp had the highest mean MAR index of 0.82 ± 0.26, followed by Klebsiella spp and Pseudomonas aeruginosa with mean MAR index of 0.68 ± 0.28 and 0.64 ± 0.32 respectively. Conclusion: There is a high level of resistance to commonly prescribed antibiotics among UTI pathogens in the hospital. Antimicrobial stewardship strategies are needed to address this negative trend. https://ibommedicaljournal.org/index.php/imjhome/article/view/62Urinary tract infectionantibiogrammultiple antibiotic resistance index |
| spellingShingle | Onukak AE Udoette SB Ekuma AE Antibiogram of urinary tract pathogens in a tertiary hospital in south-south Nigeria Ibom Medical Journal Urinary tract infection antibiogram multiple antibiotic resistance index |
| title | Antibiogram of urinary tract pathogens in a tertiary hospital in south-south Nigeria |
| title_full | Antibiogram of urinary tract pathogens in a tertiary hospital in south-south Nigeria |
| title_fullStr | Antibiogram of urinary tract pathogens in a tertiary hospital in south-south Nigeria |
| title_full_unstemmed | Antibiogram of urinary tract pathogens in a tertiary hospital in south-south Nigeria |
| title_short | Antibiogram of urinary tract pathogens in a tertiary hospital in south-south Nigeria |
| title_sort | antibiogram of urinary tract pathogens in a tertiary hospital in south south nigeria |
| topic | Urinary tract infection antibiogram multiple antibiotic resistance index |
| url | https://ibommedicaljournal.org/index.php/imjhome/article/view/62 |
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