Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2020
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

MULTI DRUG RESISTANCE PATTERNS AMONG GRAM NEGATIVE BACTERIA IN HOSPITALIZED PATIENTS AND THE ECONOMIC IMPACT IN THEIR TREATMENT

Authors: B.V.S Lakshmi, M. Hima Bindu;

MULTI DRUG RESISTANCE PATTERNS AMONG GRAM NEGATIVE BACTERIA IN HOSPITALIZED PATIENTS AND THE ECONOMIC IMPACT IN THEIR TREATMENT

Abstract

BACKGROUND: Infections caused by multidrug resistant gram negative bacteria are often corresponded with increased comorbidities, prolonged hospitalization and mortality. These bacteria not only pose a serious threat to global public health but also create a burden to health care systems. The present study was aimed to identify the incidence of Multi drug resistance patterns among gram negative bacteria in hospitalized patients and the economic impact in their treatment. We have also studied the sensitivity and resistance patterns of the isolated gram negative organisms. METHODS: Prospective study was conducted on 165 patients. Relevant data pertaining to demographics characteristics, comorbid conditions, length of stay and costs of antibiotics was taken from the patients. Blood and other samples like swab, sputum, urine, CSF etc were also sent for the culture sensitivity testing. Antimicrobial susceptibility testing was carried out using the Kirby bauer disc diffusion method. RESULTS : The most common multi drug resistant Gram negative bacteria were E.coli (33.94% )and Klebsiella pneumoniae(12.12%) The multidrug resistance patterns show that E.coli is most resistant to Tetracycline and Amoxyclav , Klebsiella is highly resistant to Ampicillin, Ertapenem & Gentamicin. The economic burden was more in Multidrug resistant cases when compared to sensitive cases. CONCLUSION: There is an increase in multidrug resistance patterns especially in E.coli & Klebsiella pneumonia with a significant increase in costs in MDR cases, due to change in their therapy to a more sensitive antibiotic.

Related Organizations
Keywords

Multidrug Resistance, Gram Negative Bacteria, Economic Impact.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 15
    download downloads 9
  • 15
    views
    9
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
15
9
Green