Literature DB >> 30103998

Estimating the number of infections caused by antibiotic-resistant Escherichia coli and Klebsiella pneumoniae in 2014: a modelling study.

Elizabeth Temkin1, Noga Fallach2, Jonatan Almagor2, Beryl Primrose Gladstone3, Evelina Tacconelli3, Yehuda Carmeli4.   

Abstract

BACKGROUND: The number of infections caused by resistant organisms is largely unknown. We estimated the number of infections worldwide that are caused by the WHO priority pathogens third-generation cephalosporin-resistant and carbapenem-resistant Escherichia coli and Klebsiella pneumoniae.
METHODS: We calculated a uniform weighted mean incidence of serious infections caused by antibiotic-susceptible E coli and K pneumoniae using data from 17 countries. Using this uniform incidence, as well as population sizes and country-specific resistance levels, we estimated the number of infections caused by third-generation cephalosporin-resistant and carbapenem-resistant E coli and K pneumoniae in 193 countries in 2014. We also calculated interval estimates derived from changing the fixed incidence of susceptible infections to 1 SD below and above the weighted mean. We compared an additive model with combination models in which resistant infections were replaced by susceptible infections. We distinguished between higher-certainty regions (those with good-quality data sources for resistance levels and resistance ≤30%), moderate-certainty regions (those with good-quality data sources for resistance levels and including some countries with resistance >30%), and low-certainty regions (those in which good-quality data sources for resistance levels were unavailable for countries comprising at least 20% of the region's population, regardless of resistance level).
FINDINGS: Using the additive model, we estimated that third-generation cephalosporin-resistant E coli and K pneumoniae caused 6·4 million (interval estimate 3·5-9·2) bloodstream infections and 50·1 million (27·5-72·8) serious infections in 2014; estimates were 5·5 million (3·0-7·9) bloodstream infections and 43·1 million (23·6-62·2) serious infections in the 25% replacement model, 4·6 million (2·5-6·6) bloodstream infections and 36·0 million (19·7-52·2) serious infections in the 50% replacement model, and 3·7 million (2·0-5·3) bloodstream infections and 28·9 million (15·8-41·9) serious infections in the 75% replacement model. Carbapenem-resistant strains caused 0·5 million (0·3-0·7) bloodstream infections and 3·1 million (1·8-4·5) serious infections based on the additive model, 0·5 million (0·3-0·7) bloodstream infections and 3·0 million (1·7-4·3) serious infections based on the 25% replacement model, 0·4 million (0·2-0·6) bloodstream infections and 2·8 million (1·6-4·1) serious infections based on the 50% replacement model, and 0·4 million (0·2-0·6) bloodstream infections and 2·7 million (1·5-3·8) serious infections based on the 75% replacement model.
INTERPRETATION: To our knowledge, this study is the first to report estimates of the global number of infections caused by antibiotic-resistant priority pathogens. Uncertainty stems from scant data on resistance levels from low-income and middle-income countries and insufficient knowledge regarding resistance dynamics when resistance is high. FUNDING: Innovative Medicines Initiative.
Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.

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Year:  2018        PMID: 30103998     DOI: 10.1016/S2214-109X(18)30278-X

Source DB:  PubMed          Journal:  Lancet Glob Health        ISSN: 2214-109X            Impact factor:   26.763


  34 in total

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Review 4.  Antimicrobial Resistance Surveillance in Low- and Middle-Income Countries: Progress and Challenges in Eight South Asian and Southeast Asian Countries.

Authors:  Sumanth Gandra; Gerardo Alvarez-Uria; Paul Turner; Jyoti Joshi; Direk Limmathurotsakul; H Rogier van Doorn
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7.  External Societal Costs of Antimicrobial Resistance in Humans Attributable to Antimicrobial Use in Livestock.

Authors:  Gabriel K Innes; Pranay R Randad; Anton Korinek; Meghan F Davis; Lance B Price; Anthony D So; Christopher D Heaney
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9.  Estimating the Treatment of Carbapenem-Resistant Enterobacteriaceae Infections in the United States Using Antibiotic Prescription Data.

Authors:  Cornelius J Clancy; Brian A Potoski; Deanna Buehrle; M Hong Nguyen
Journal:  Open Forum Infect Dis       Date:  2019-07-28       Impact factor: 3.835

10.  Klebsiella pneumoniae Lipopolysaccharides Serotype O2afg Induce Poor Inflammatory Immune Responses Ex Vivo.

Authors:  Matteo Bulati; Rosalia Busà; Claudia Carcione; Gioacchin Iannolo; Giuseppina Di Mento; Nicola Cuscino; Roberto Di Gesù; Antonio Palumbo Piccionello; Silvestre Buscemi; Anna Paola Carreca; Floriana Barbera; Francesco Monaco; Francesca Cardinale; Pier Giulio Conaldi; Bruno Douradinha
Journal:  Microorganisms       Date:  2021-06-17
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