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Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
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Indicators of potentially drug-resistant bacteria in severe nursing home-acquired pneumonia

Ali A El Solh1, Celestino Pietrantoni, Abid Bhat

  • 1Department of Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, Erie County Medical Center, University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York 14215, USA. solh@buffalo.edu

Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America
|September 10, 2004
PubMed
Abstract

Insights

Identifying factors for drug-resistant pathogens in nursing home-acquired pneumonia (NHAP) aids antibiotic choice. A classification tree using Activity of Daily Living scores and prior antibiotic use accurately predicts patients unlikely to have resistant pneumonia.

Area of Science:

  • Infectious Diseases
  • Critical Care Medicine
  • Geriatric Medicine

Background:

  • Antimicrobial resistance is a growing concern in healthcare-associated infections.
  • Severe nursing home-acquired pneumonia (NHAP) presents unique challenges due to patient comorbidities and potential pathogen resistance.
  • Understanding factors predicting drug-resistant pathogens (DRPs) is crucial for effective antibiotic selection in NHAP.

Purpose of the Study:

  • To identify determinant factors for antimicrobial-resistant pathogens in severe NHAP.
  • To develop a predictive model for identifying patients unlikely to have DRP-related pneumonia.

Main Methods:

  • Analysis of data from institutionalized patients with severe pneumonia confirmed by protected bronchoalveolar lavage fluid cultures.
  • Development of a classification tree using binary recursive partitioning to predict DRP-related pneumonia.
  • Prospective validation of the classification tree model.

Main Results:

  • Out of 88 patients, 17 had DRPs. Key predictors identified were Activity of Daily Living (ADL) score and previous antibiotic use.
  • The classification tree achieved 100% sensitivity in predicting DRP-unlikely pneumonia.
  • Prospective application in 47 patients demonstrated 100% sensitivity and 69.4% specificity.

Conclusions:

  • The developed classification tree, utilizing ADL score and prior antibiotic use, can help identify patients with severe NHAP unlikely to have DRPs.
  • This tool may support more rational initial antibiotic therapy selection for severe NHAP.
  • Further validation in a large prospective study is recommended.

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