Visualization of multidrug-resistant bacterial infection trends in the intensive care units

Woojae Jeon1, Yu-Mi Lee2,3, Dong Youn Kim2

  • 1College of Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea.

Plos One
|August 28, 2025
PubMed
Abstract

Insights

This study visualized multidrug-resistant gram-negative bacterial infection trends in intensive care units (ICUs) using a novel graph transformation method. Results show shifts in infection rates and resistance patterns for key pathogens like Acinetobacter baumannii.

Area of Science:

  • Infectious Diseases
  • Microbiology
  • Public Health Surveillance

Background:

  • The Korean National Healthcare-associated Infections Surveillance System (KONIS) tracks multidrug-resistant (MDR) bacterial infections in intensive care units (ICUs).
  • Monitoring hundreds of ICUs simultaneously presents significant challenges for infection control.
  • This study aimed to visualize MDR gram-negative bacterial infection trends within KONIS-monitored ICUs.

Purpose of the Study:

  • To develop and apply a novel visualization method for tracking trends in MDR gram-negative bacterial infections in ICUs.
  • To analyze changes in infection rates and carbapenem susceptibility for key pathogens over time.
  • To categorize ICUs based on infection trends for better understanding of resistance dynamics.

Main Methods:

  • Evaluated KONIS data from 137 ICUs (2006-2011) and 368 ICUs (2017-2022).
  • Analyzed infections (pneumonia, UTI, bloodstream) caused by Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii.
  • Transformed infection rate graphs into arrows indicating changes in carbapenem susceptibility and infection rates, categorizing ICUs into red, yellow, and green groups.

Main Results:

  • For Klebsiella pneumoniae, a significant increase in the 'red' ICU category (0% to 17%) was observed, with decreases in 'yellow' and 'green' categories.
  • Pseudomonas aeruginosa showed an increase in 'red' (12% to 27%) and 'green' (38% to 46%) categories, and a decrease in 'yellow' (8% to 2%).
  • Acinetobacter baumannii demonstrated a notable increase in the 'green' category (19% to 72%), indicating a shift towards susceptibility, with decreases in 'red' and 'yellow' categories.

Conclusions:

  • Graph transformation provides a useful method for observing MDR gram-negative bacterial infection trends in ICUs.
  • The study highlights varying trends for different pathogens, with Acinetobacter baumannii showing improvement in susceptibility.
  • Further research is needed to validate these arrow indicators for infection control and identify factors reducing infections.

Related Concept Videos

Urinary Tract Infection III: Diagnostic Studies and Interprofessional Care01:30

Urinary Tract Infection III: Diagnostic Studies and Interprofessional Care

A healthcare provider can diagnose a urinary tract infection (UTI) through several methods:Medical History and Symptoms: The provider will take a detailed medical history and ask about symptoms such as frequent urination, burning sensation during urination, and lower abdominal pain.Urinalysis: A clean-catch urine sample is collected in a sterile container and tested for the presence of bacteria, white blood cells (leukocytes), nitrites, blood, and protein. The presence of leukocytes and...
35
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...
2.8K
Development of Antibiotic Resistance01:30

Development of Antibiotic Resistance

Antibiotic resistance is a major public health concern that arises when bacteria evolve mechanisms to withstand the effects of antibiotic treatments. This resistance can be intrinsic, acquired through genetic mutations, or transferred between bacteria via horizontal gene transfer. The development of antibiotic resistance poses significant challenges in treating bacterial infections and necessitates ongoing research to develop new therapeutic strategies.Intrinsic resistance occurs when bacterial...
197
Antimicrobial Effectiveness01:28

Antimicrobial Effectiveness

The effectiveness of antimicrobial agents depends on various factors influencing their ability to eliminate microbial populations. Larger microbial populations require more time for complete eradication, emphasizing the importance of population size analysis when evaluating antimicrobial efficacy.Microbial resistance to antimicrobial agents varies significantly. Highly resilient microorganisms include endospores, gram-negative bacteria, and non-enveloped viruses, while prions are exceptionally...
156
Acute Pyelonephritis II: Diagnostic Studies and Management01:28

Acute Pyelonephritis II: Diagnostic Studies and Management

Introduction:For diagnosing acute pyelonephritis, a comprehensive patient history is collected to identify symptoms such as dysuria, frequent or urgent urination, flank pain, or costovertebral angle (CVA) tenderness that may suggest a kidney infection.Physical ExaminationDuring the physical examination, CVA tenderness is assessed. This involves gentle percussion over the costovertebral angle, where tenderness often indicates a kidney infection.Diagnostic TestsUrinalysis: Used to identify white...
39
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.
4.4K