Evidence map›Paper›PMID 40875645›Full record

ArticlePloS one2025

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

Woojae Jeon, Yu-Mi Lee, Dong Youn Kim, Ki-Ho Park, Mi Suk Lee

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Woojae JeonCollege of Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea.ORCID 0009-0007-5870-2223
Yu-Mi LeeDivision of Infectious Diseases, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Republic of Korea.
Dong Youn KimDivision of Infectious Diseases, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Republic of Korea.
Ki-Ho ParkDivision of Infectious Diseases, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Republic of Korea.
Mi Suk LeeDivision of Infectious Diseases, Department of Internal Medicine, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Republic of Korea.ORCID 0000-0001-8951-5032

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Korean National Healthcare-associated Infections Surveillance System (KONIS) monitors multidrug-resistant (MDR) bacterial infections in intensive care units (ICUs). However, simultaneously monitoring hundreds of ICUs remains challenging. Our study aimed to visualize the trends of MDR gram-negative bacterial infections in ICUs monitored by KONIS.

methodsWe evaluated KONIS data from 137 ICUs (2006-2011) and from 368 ICUs (2017-2022). Pneumonia, urinary tract infection, and bloodstream infection caused by Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii were analyzed. Transformation was employed to convert the infection rate graphs of each ICU into arrows. The length and angle of the arrows reflect changes in carbapenem susceptibility and infection rate, respectively. ICUs are categorized into red (rapid shift from susceptible to resistant bacteria and increased infection rate), yellow (slow shift from susceptible to resistant bacteria and decreased infections rate), and green (shift from resistant to susceptible bacteria) groups. The proportional changes in each ICU category were compared during the first and last five years of the study periods.

resultsFor K. pneumoniae, the proportion of red category ICUs increased (0% to 17%, p-value 0.586), while the proportions of yellow (33.3% to 7%, p-value 0.288) and green category ICUs (66.6% to 36%, p-value 0.290) decreased. For P. aeruginosa, the proportions of red (12% to 27%, p-value 0.016) and green category ICUs (38% to 46%, p-value 0.358) increased, while the proportion of yellow category ICUs decreased (8% to 2%, p-value 0.043). For A. baumannii, the proportions of red (19% to 14%, p-value 0.649) and yellow category ICUs (5% to 1%, p-value 0.187) decreased, while the proportion of green category ICUs increased (19% to 72%, p-value <0.001).

conclusionsGraph transformation allowed the observation of MDR Gram-negative bacterial infection trends in ICUs. Further studies should aim to confirm whether our arrow indicators are useful for infection control and in identifying factors for reducing infections.

Indexed as

Cross InfectionDrug Resistance, Multiple, BacterialGram-Negative Bacterial InfectionsIntensive Care UnitsAcinetobacter baumanniiAnti-Bacterial AgentsHumansKlebsiella pneumoniaePseudomonas aeruginosaRepublic of KoreaUrinary Tract InfectionsAnti-Bacterial Agents

Identifiers

PMID40875645
PMCPMC12393710

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.