incidence of fluoroquinolone resistance in pseudomonas aeruginosa from urinary tract infections

Clicks: 175
ID: 207885
2016
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #16 of 43 articles by views in international journal of online engineering (ijoe)

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
The susceptibility of 105 Pseudomonas aeruginosa isolates collected from patients with urinary tract infections was assessed by determination of minimum inhibitory concentration (MICs) using agar dilution method against the following agents: norfloxacin, ofloxacin, ciprofloxacin and pefloxacin. Resistance rates of P. aeruginosa to tested fluoroquinolones was fairly uniformly distributed between compounds as followed: norfloxacin - 52.4%, ofloxacin- 49.5%, ciprofloxacin - 51.4%, pefloxacin - 49.5%. Analysis of cross-resistance in P. aeruginosa showed a correlated magnitude of resistance between fluoroquinolones. Among the P.aeruginosa strains the number of those showing simultaneously resistance to all tested agents is high (n=50). The significant increase in fluoroquinolone resistance probably reflects the widspread use of this agent and the clinical use of these compunds should be carefully monitored since most bacterial strains shows cross-resitance.
Reference Key
poiata2016analeleincidence Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Antonia Poiata;Ioana Badicut
Journal international journal of online engineering (ijoe)
Year 2016
DOI
DOI not found
URL
http://www.gbm.bio.uaic.ro/index.php/gbm/article/view/1118
Keywords
genetics

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.