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 . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Long-term Trends in the Prevalence of Nosocomial Infections: A Microbiological Perspective

Authors: Mahadeo Mandal; Smita Kumari;

Long-term Trends in the Prevalence of Nosocomial Infections: A Microbiological Perspective

Abstract

Background: Hospital-Acquired nosocomial Infections (HAIs) increase patients’ risk of sickness, mortality, and healthcare system costs. Common healthcare-associated ailments include pneumonia, UTIs, surgical site infections, and bloodstream infections. A major public health and infection control challenge, these illnesses frequently appear 48 hours or more after admission. Method: A retrospective cohort study examined nosocomial infection patterns over time. All hospitalised nosocomial infections were studied. Patient demographics, pathogen types, antibiotic resistance patterns, and ailment categories were studied. Statistical analysis included logistic regression models, descriptive statistics, and trend analysis. Result: NOS infections were 15%, with surgical sites (35%), urinary tracts (25%), bloodstreams (20%), and pneumonia (20%) being the most common. The most common infectious agents were 60% Gram-negative bacteria, 25% Gram-positive bacteria, and 20% fungi. Gram-negative bacteria were resistant to third-generation cephalosporins and fluoroquinolones. Methicillin-resistant Staphylococcus aureus caused 15% of surgical site infections. Nosocomial infection patients stayed 10 days on average, compared to 5 days for non-infected patients. Conclusion: Nosocomial infections regularly strain healthcare systems. In the study, antibiotic resistance and Gram-negative bacteria are common. Effective infection prevention and control requires infection control measures, real-time monitoring, and antibiotic stewardship. Future research should examine new infection prevention approaches, viruses, and their resistance mechanisms.

Background: Hospital-Acquired nosocomial Infections (HAIs) increase patients’ risk of sickness, mortality, and healthcare system costs. Common healthcare-associated ailments include pneumonia, UTIs, surgical site infections, and bloodstream infections. A major public health and infection control challenge, these illnesses frequently appear 48 hours or more after admission. Method: A retrospective cohort study examined nosocomial infection patterns over time. All hospitalised nosocomial infections were studied. Patient demographics, pathogen types, antibiotic resistance patterns, and ailment categories were studied. Statistical analysis included logistic regression models, descriptive statistics, and trend analysis. Result: NOS infections were 15%, with surgical sites (35%), urinary tracts (25%), bloodstreams (20%), and pneumonia (20%) being the most common. The most common infectious agents were 60% Gram-negative bacteria, 25% Gram-positive bacteria, and 20% fungi. Gram-negative bacteria were resistant to third-generation cephalosporins and fluoroquinolones. Methicillin-resistant Staphylococcus aureus caused 15% of surgical site infections. Nosocomial infection patients stayed 10 days on average, compared to 5 days for non-infected patients. Conclusion: Nosocomial infections regularly strain healthcare systems. In the study, antibiotic resistance and Gram-negative bacteria are common. Effective infection prevention and control requires infection control measures, real-time monitoring, and antibiotic stewardship. Future research should examine new infection prevention approaches, viruses, and their resistance mechanisms.

Keywords

Antibiotic resistance, Gram-negative bacteria, Hospital-acquired infections, Infection control, Nosocomial infections, Retrospective cohort study, Surveillance, Surgical site infections

  • 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
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
0
Average
Average
Average
Related to Research communities