Evidence map›Paper›PMID 38715233›Full record

ArticleThe Korean journal of internal medicine2024

Prevalence and predictors of multidrug-resistant bacteremia in liver cirrhosis.

Aryoung Kim, Byeong Geun Song, Wonseok Kang, Dong Hyun Sinn, Geum-Youn Gwak, Yong-Han Paik, Moon Seok Choi, Joon Hyeok Lee, Myung Ji Goh

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Article in The Korean journal of internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Aryoung KimDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Byeong Geun SongDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Wonseok KangDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Dong Hyun SinnDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Geum-Youn GwakDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yong-Han PaikDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Moon Seok ChoiDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Joon Hyeok LeeDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Myung Ji GohDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsImproved knowledge of local epidemiology and predicting risk factors of multidrug-resistant (MDR) bacteria are required to optimize the management of infections. This study examined local epidemiology and antibiotic resistance patterns of liver cirrhosis (LC) patients and evaluated the predictors of MDR bacteremia in Korea.

methodsThis was a retrospective study including 140 LC patients diagnosed with bacteremia between January 2017 and December 2022. Local epidemiology and antibiotic resistance patterns and the determinants of MDR bacteremia were analyzed using logistic regression analysis.

resultsThe most frequently isolated bacteria, from the bloodstream, were Escherichia coli (n = 45, 31.7%) and Klebsiella spp. (n = 35, 24.6%). Thirty-four isolates (23.9%) were MDR, and extended-spectrum beta-lactamase E. coli (52.9%) and methicillin-resistant Staphylococcus aureus (17.6%) were the most commonly isolated MDR bacteria. When Enterococcus spp. were cultured, the majority were MDR (MDR 83.3% vs. 16.7%, p = 0.003), particularly vancomycin-susceptible Enterococcus faecium. Antibiotics administration within 30 days and/or nosocomial infection was a significant predictor of MDR bacteremia (OR: 3.40, 95% CI: 1.24-9.27, p = 0.02). MDR bacteremia was not predicted by sepsis predictors, such as positive systemic inflammatory response syndrome (SIRS) or quick Sequential Organ Failure Assessment (qSOFA).

conclusionMore than 70% of strains that can be treated with a third-generation cephalosporin have been cultured. In cirrhotic patients, antibiotic administration within 30 days and/or nosocomial infection are predictors of MDR bacteremia; therefore, empirical administration of broad-spectrum antibiotics should be considered when these risk factors are present.

Indexed as

Anti-Bacterial AgentsBacteremiaDrug Resistance, Multiple, BacterialLiver CirrhosisAdultAgedCross InfectionFemaleHumansMaleMiddle AgedPrevalenceRepublic of KoreaRetrospective StudiesRisk FactorsAnti-Bacterial AgentsBacteremiaDrug resistance, multiple, bacterialEpidemiologyLiver cirrhosis

Identifiers

PMID38715233
PMCPMC11076886

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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.