Abstract:
Back ground: Urinary Tract Infections are one of the most prevalent extra-intestinal bacterial
infections, and is responsible for considerable morbidity, particularly if it is unrecognized or
untreated. Diabetes mellitus causes several abnormalities of the host immune system that may
result in a higher risk of infections like urinary tract infections. The improper and irrational use
of many antibiotics resulted in antimicrobial resistant strains to become a major health problem
throughout the world including Ethiopia.
Objectives: The aim of this study was to assess etiology, risk factors and antimicrobial
susceptibility pattern of uropathogenic bacteria isolated from diabetic patients.
Methods: A hospital based prospective cross sectional study was conducted on diabetic patients
from March to May, 2017. Demographic and clinical data were collected by using
questionnaires. Clean catch mid-stream urine samples were collected and isolation,
identification, and antimicrobial susceptibility tests were done using standard bacteriological
procedures. Data entry and statistical analysis were performed by using SPSS version 21
statistical software package.
Results: Two hundred forty seven patients were included in this study and the overall prevalence
of significant bacteriuria was 10.5%. Significant bacteriuria was significantly associated with
age and body mass index. The predominant bacteria isolate was E. coli 12(46.2%) followed by
Coagulase negative staphylococcus 7(26.9%). Gram negative bacteria showed high rate of
sensitivity (94.1%) to Nitrofurantoin and Norfloxacine. Gram positive bacteria showed 100%
sensitive for Amoxacillin-Clavunic acid. Multidrug resistance to two or more drug was observed
in 19 (73.1%) of bacterial isolates.
Conclusion and Recommendation: Significant bacteriuria had been observed from 10.5 % of
diabetic patients. Nitrofurantoin, Norfloxacine and Amoxacillin-Clavunic acid can be used for
empiric treatment. Regular monitoring of susceptibility pattern of uropathogens should be
essential for optimal empirical therapy of diabetic patients with urinary tract infections.
