| ORIGINAL ARTICLE |
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| Year : 2013 | Volume
: 5
| Issue : 6 | Page : 344-352 |
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Antibiotic resistance in sepsis patients: Evaluation and recommendation of antibiotic use
Ivan Surya Pradipta1, Dian Chairunnisa Sodik1, Keri Lestari1, Ida Parwati2, Eli Halimah1, Ajeng Diantini1, Rizky Abdulah1
1 Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
2 Departement of Clinical Pathology, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
Correspondence Address:
Ivan Surya Pradipta
Jl. Raya Bandung Sumedang Km. 21 Jatinangor-Sumedang, Jawa Barat 45363
Indonesia
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/1947-2714.114165
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Background: The appropriate selection of empirical antibiotics based on the pattern of local antibiotic resistance can reduce the mortality rate and increase the rational use of antibiotics. Aims: We analyze the pattern of antibiotic use and the sensitivity patterns of antibiotics to support the rational use of antibiotics in patients with sepsis. Materials and Methods: A retrospective observational study was conducted in adult sepsis patient at one of Indonesian hospital during January-December 2011. Data were collected from the hospital medical record department. Descriptive analysis was used in the processing and interpretation of data. Results: A total of 76 patients were included as research subjects. Lung infection was the highest source of infection. In the 66.3% of clinical specimens that were culture positive for microbes, Klebsiella pneumoniae, Escherichia coli, Staphylococcus hominis were detected with the highest frequency. The six most frequently used antibiotics, levofloxacin, ceftazidime, ciprofloxacin, cefotaxime, ceftriaxone, and erythromycin, showed an average resistance above 50%. Conclusions: The high use of antibiotic with a high level resistance requires a policy to support its rational use. Local microbial pattern based on site infection and pattern of antibiotics sensitivity test can be used as supporting data to optimize appropriateness of empirical antibiotics therapy in sepsis patients. |
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