Frequency of Different Bacterial Species and their Antibiogram among Patients with Chronic Otitis Media

Autor: Ashfaq Hussain, Sarwath Fatimee, Asad Ullah, Urooj Zafar, Salman Baig, Mohammad Farooq Bhutta
Rok vydání: 2021
Předmět:
Zdroj: Journal of Pharmaceutical Research International. :215-220
ISSN: 2456-9119
DOI: 10.9734/jpri/2021/v33i30b31657
Popis: Aim: To find out the frequency of different bacterial species and their antibiogram among the patients of chronic suppurative otitis media. Study Design: Descriptivecross-sectional. Place and Duration of Study: The study was conducted at the ENT department of Bahawal Victoria hospital between July to December 2020. Methodology: About 50 patients presented with unilateral or bilateral ear discharge and diagnosed as a case of chronic suppurative otitis media were included in the study. The disk diffusion method was used on Mueller-Hinton Agar to detect antimicrobial susceptibility. Multipledrugs were tested for checking antimicrobial susceptibility. The data were analyzed by using Statistical Package for the Social Sciences (SPSS) version 20. Results: The mean age of the study participants was 13.89 ± 12.37 years. The majority of participants were froma younger age group i.e. less than10 years of age with female predominance. It had been found that the majority of cases (51%) were having Staphylococcus aureus infestation followed by Pseudomonas aeruginosa, Escherichia coli and very few with Proteus mirabilis. On the other hand, multiple drugs were tested to find out the antimicrobial susceptibility among the cases of chronic otitis media and the results reported that all the bacterial species were susceptible to Ceftriaxone while the other antibiotics were havinga variable response for different strains of bacteria. Conclusion: Results concluded that the Staphylococcus aureus was the most common organism followed by Pseudomonas aeruginosa, Escherichia coli and very few with Proteus mirabilis. It is important to identify the pathogenic organism and its sensitivity pattern before prescribing any antibiotic.
Databáze: OpenAIRE