Measurement and prediction of antimicrobial resistance in bloodstream infections by ESKAPE pathogens and Escherichia coli

Socio, Giuseppe Vittorio De; Rubbioni, Paola; Botta, D.; Cenci, Elio; Belati, Alessandra; Paggi, Riccardo; Pasticci, Maria Bruna; Mencacci, Antonella

doi:10.1016/j.jgar.2019.05.013

Cited by 27 publications

(19 citation statements)

References 16 publications

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“…[ 1 ] A recent study suggested upward resistance trends of ESKAPE and E. coli organisms isolated from blood cultures from 2014 to 2018 in a hospital in Italy. [ 2 ] The frequencies and resistance rates of ESKAPE and E. coli are most likely interrelated with the spectrum of disease, geographical situation, antimicrobial management, and hand hygiene. Since 2012, some requirements have been gradually executed according to the Measures for the Administration of Clinical Application of Antibiotics (Decree No.…”

mentioning

confidence: 99%

Antimicrobial resistance profiles of ESKAPE and Escherichia coli isolated from blood at a tertiary hospital in China

Wei

Gao²,

Yang³

et al. 2020

Chinese Medical Journal

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mentioning

confidence: 99%

Antimicrobial resistance profiles of ESKAPE and Escherichia coli isolated from blood at a tertiary hospital in China

Wei

Gao²,

Yang³

et al. 2020

Chinese Medical Journal

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“…In addition, a meta-analysis of 83 studies comparing antibiotic-susceptible vs -resistant bacteria highlighted that a major factor driving the economic burden of ESKAPE pathogens is antibiotic resistance [15]. But despite these advancements, ESKAPE pathogens remain a major health care burden, and recent studies suggest upward trends of ESKAPE prevalence [16], economic cost [17], and resistance [18, 19]. We hypothesize that these challenges arise in part from a paucity of large-scale studies that evaluate the true impact of ESKAPE pathogens relative to non-ESKAPE pathogens and a paucity of simple algorithms to identify patients at risk of an ESKAPE infection.…”

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confidence: 99%

ESKAPE Pathogens in Bloodstream Infections Are Associated With Higher Cost and Mortality but Can Be Predicted Using Diagnoses Upon Admission

Marturano

Lowery

2019

Open Forum Infectious Diseases

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Background ESKAPE bacteria are thought to be especially resistant to antibiotics, and their resistance and prevalence in bloodstream infections are rising. Large studies are needed to better characterize the clinical impact of these bacteria and to develop algorithms that alert clinicians when patients are at high risk of an ESKAPE infection. Methods From a US data set of >1.1 M patient encounters, we evaluated if ESKAPE pathogens produced worse outcomes than non-ESKAPE pathogens and if an ESKAPE infection could be predicted using simple word group algorithms built from decision trees. Results We found that ESKAPE pathogens represented 42.2% of species isolated from bloodstream infections and, compared with non-ESKAPE pathogens, were associated with a 3.3-day increase in length of stay, a $5500 increase in cost of care, and a 2.1% absolute increase in mortality (P < 1e-99). ESKAPE pathogens were not universally more resistant to antibiotics, but only to select antibiotics (P < 5e-6), particularly against common empiric therapies. In addition, simple word group algorithms predicted ESKAPE pathogens with a positive predictive value of 7.9% to 56.2%, exceeding 4.8% by random guessing (P < 1e-99). Conclusions Taken together, these data highlight the pathogenicity of ESKAPE bacteria, potential mechanisms of their pathogenicity, and the potential to predict ESKAPE infections upon admission. Implementing word group algorithms could enable earlier and targeted therapies against ESKAPE bacteria and thus reduce their burden on the health care system.

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“…Many studies aim to find simple methods to quickly detect antimicrobial resistance and evaluate the cumulative antimicrobial resistance index. De Socio et al 23 they were found that antimicrobial-resistance patterns in clinical samples especially blood culture isolates progressively increased from 2014-18 in their training hospital. If no interventional measure is taken, a peak to resistance rates of the ESKAPEEc group could be expected in the next 8-15 years.…”

Section: Discussionmentioning

confidence: 99%

“…Reducing the time from onset to detection is important for diagnostic testing. In particular, rapid detection of a pathogen is an important step in improving patient outcomes and in reducing costs associated with treating infections [21][22][23][24] .…”

Section: Discussionmentioning

confidence: 99%

Rapid detection of carbapenemases and ESKAPEEc bacteria

Aydoğan¹,

Çakırlar²

2021

Arch Balk Med Union

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Détection rapide des carbapénémases et des bactéries ESKAPEEcIntroduction. Les carbapénèmes sont les antibiotiques de dernière génération pour le traitement des infections causées par des bactéries multirésistantes. Cependant, récemment, des bactéries résistantes aux carbapénèmes ont émergé de manière significative. L'objectif de l'étude. Nous visons une étude préliminaire pour l'identification des souches pathogènes

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Measurement and prediction of antimicrobial resistance in bloodstream infections by ESKAPE pathogens and Escherichia coli

Cited by 27 publications

References 16 publications

Antimicrobial resistance profiles of ESKAPE and Escherichia coli isolated from blood at a tertiary hospital in China

Antimicrobial resistance profiles of ESKAPE and Escherichia coli isolated from blood at a tertiary hospital in China

ESKAPE Pathogens in Bloodstream Infections Are Associated With Higher Cost and Mortality but Can Be Predicted Using Diagnoses Upon Admission

Rapid detection of carbapenemases and ESKAPEEc bacteria

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