Risk factors for colonization and infection with multidrug-resistant Pseudomonas aeruginosa in intensive care unit:

Serge Eyebe1,2,3, Hugues C Nana-Djeunga4, Magellan Guewo-Fokeng5

  • 1UMR 1137, Infection, Antimicrobiens, Modélisation, Evolution, Université Sorbonne Paris Nord, Paris, France. drsergeeyebe@netcourrier.com.

Systematic Reviews
|December 13, 2022
PubMed
Abstract

Insights

This systematic review investigates individual and environmental factors contributing to resistant Pseudomonas aeruginosa (RPA) infections in intensive care units (ICUs). Understanding these factors is crucial for developing effective prevention and treatment strategies against RPA.

Area of Science:

  • Infectious Diseases
  • Critical Care Medicine
  • Epidemiology

Background:

  • Resistant Pseudomonas aeruginosa (RPA) infections in intensive care units (ICUs) can arise from endogenous or exogenous sources, with unclear contributions from each.
  • Existing data on RPA prevalence, risk factors, and environmental influences in ICUs are limited and often contradictory.
  • There is a critical need to elucidate both individual patient and environmental factors associated with RPA colonization and infection.

Purpose of the Study:

  • To systematically review and synthesize evidence on individual and environmental factors associated with RPA colonization and infection in the ICU setting.
  • To address the scarcity and discrepancy of current data by combining analyses of individual and environmental risk factors.
  • To challenge and test contrasting hypotheses regarding RPA acquisition and infection risk factors.

Main Methods:

  • Comprehensive literature search of major databases (MEDLINE, EMBASE, Cochrane Library, Web of Science, CINAHL, LILACS) and grey literature.
  • Independent screening of citations, abstracts, and full-text articles by two reviewers, with conflict resolution through discussion.
  • Narrative synthesis of epidemiological evidence, quality appraisal, and meta-analysis of extracted data using a random-effect model to summarize effect sizes.

Main Results:

  • Data synthesis will quantify prevalence, odds ratios, relative risks, and hazard ratios with 95% confidence intervals for identified factors.
  • Meta-analysis will be performed on eligible studies with similar populations and RPA testing methodologies.
  • The analysis will specifically evaluate factors influencing the estimates and explore variations across studies.

Conclusions:

  • This systematic review will provide a comprehensive understanding of individual and environmental risk factors for RPA in ICUs.
  • Findings will help clarify the roles of different contamination routes and inform targeted interventions.
  • The study aims to identify methodological gaps for future research and provide a basis for improved RPA control strategies in critical care.

Related Concept Videos

Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
12.1K
Pneumonia I: Introduction01:30

Pneumonia I: Introduction

Pneumonia is an acute respiratory infection that targets the lungs, specifically the alveoli. These tiny air sacs, essential for oxygen exchange, become engorged with pus and fluid, severely hindering breathing, decreasing oxygen absorption, and causing significant pain and discomfort during respiration.
Risk Factors
Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...
300
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
2.7K
Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic01:26

Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic

Healthcare-associated infections (HAIs) occur in a healthcare facility while a person receives care for another ailment. This category also includes work-related infections among healthcare staff.
HAIs significantly increase the cost of health care. Extended stays in healthcare institutions, increased disability, increased costs of medications, including specialized antibiotics, and prolonged recovery times add to the patient's expenses and the healthcare institution and funding bodies.
4.3K
Urinary Tract Infection II: Pathophysiology01:25

Urinary Tract Infection II: Pathophysiology

The pathophysiology of urinary tract infections (UTIs) encompasses several progressive stages, beginning with bacterial colonization and culminating in potential systemic complications if untreated. UTIs are primarily initiated by bacteria, such as Escherichia coli, which often originate from the gastrointestinal tract and migrate to the urinary system through the periurethral area. This migration can occur via several routes, including improper hygiene practices, sexual activity, or...
28
Gene Regulation in Microbial Communities: Quorum Sensing01:28

Gene Regulation in Microbial Communities: Quorum Sensing

Quorum sensing is a mechanism of bacterial communication that enables coordinated gene expression in response to changes in population density. This facilitates collective behaviors that enhance survival, resource acquisition, and ecological adaptation. This process relies on small signaling molecules called autoinducers that accumulate as bacterial populations grow. When a critical threshold concentration of autoinducers is reached, bacterial cells collectively modify gene expression,...
67