Antibiotic Resistance Patterns in a University Hospital in Al-Kharj City
Journal of Pharmaceutical Research International · pp. 1–5 · Published 14 Nov 2019
10.9734/jpri/2019/v31i530310Abstract
Introduction: Antibiotics are medications that are used to kill a bacterium which causes different infections. The misuse of these medications has contributed to the development of bacterial resistance. In order to predict the efficacy of the antimicrobial drugs and to guide antimicrobial therapy, antibiogram should be used. Objective: This study aims to explore the Antibiotic resistance patterns in a university hospital in AL-kharj city. Methods: Data from a university hospital in Al-Kharj city were used to assess the in vitro antimicrobial susceptibility rates for different types of bacteria. We included all bacterial and fungal cultures in the last 2 years. Results: The most common bacterium was E. coli and the most common fungus pathogen was Candida albicans. There was a low resistance rate to gentamicin, imipenem, meropenem and amikacin for the studied bacteria pathogens and high resistance rate for some antibiotics such as erythromycin, tetracycline and ampicillin. Conclusion: The physicians should follow the treatment guidelines and they should know the susceptibility rate of different bacteria to prescribe antibiotics appropriately.
Cited by 0
No indexed citations yet.
Related research
- Satisfaction with Quality of Health Care among Teaching Hospitals in Kathmandu, Nepal — shares topic coverage
- Bacteria Associated with Hospital Handrails in a Tertiary Institution in Nigeria — shares topic coverage
- Food Contamination from Catering Services in Khartoum Teaching Hospital — shares topic coverage
- Indoor Air Quality in Benghazi’s Hospitals and Its Impact among Patients — shares topic coverage
- Trends in Antimicrobial Resistance of Staphylococcus aureus Isolated from Clinical Samples at Mbarara Regional Referral Hospital in Rural Uganda — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.