Literature DB >> 30583920

The role of intra and inter-hospital patient transfer in the dissemination of heathcare-associated multidrug-resistant pathogens.

T N Vilches1, M F Bonesso2, H M Guerra2, C M C B Fortaleza2, A W Park3, C P Ferreira4.   

Abstract

Healthcare-associated infections cause significant patient morbidity and mortality, and contribute to growing healthcare costs, whose effects may be felt most strongly in developing countries. Active surveillance systems, hospital staff compliance, including hand hygiene, and a rational use of antimicrobials are among the important measures to mitigate the spread of healthcare-associated infection within and between hospitals. Klebsiella pneumoniae is an important human pathogen that can spread in hospital settings, with some forms exhibiting drug resistance, including resistance to the carbapenem class of antibiotics, the drugs of last resort for such infections. Focusing on the role of patient movement within and between hospitals on the transmission and incidence of enterobacteria producing the K. pneumoniae Carbapenemase (KPC, an enzyme that inactivates several antimicrobials), we developed a metapopulation model where the connections among hospitals are made using a theoretical hospital network based on Brazilian hospital sizes and locations. The pathogen reproductive number, R0 that measures the average number of new infections caused by a single infectious individual, was calculated in different scenarios defined by both the links between hospital environments (regular wards and intensive care units) and between different hospitals (patient transfer). Numerical simulation was used to illustrate the infection dynamics in this set of scenarios. The sensitivity of R0 to model input parameters, such as hospital connectivity and patient-hospital staff contact rates was also established, highlighting the differential importance of factors amenable to change on pathogen transmission and control.
Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Basic reproductive number; Control; Differential equation; Klebsiella pneumoniae; Network; Sensitivity analysis

Mesh:

Year:  2018        PMID: 30583920     DOI: 10.1016/j.epidem.2018.11.001

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  5 in total

1.  Relevance of intra-hospital patient movements for the spread of healthcare-associated infections within hospitals - a mathematical modeling study.

Authors:  Hannan Tahir; Luis Eduardo López-Cortés; Axel Kola; Dafna Yahav; André Karch; Hanjue Xia; Johannes Horn; Konrad Sakowski; Monika J Piotrowska; Leonard Leibovici; Rafael T Mikolajczyk; Mirjam E Kretzschmar
Journal:  PLoS Comput Biol       Date:  2021-02-03       Impact factor: 4.475

2.  Effects of patient-level risk factors, departmental allocation and seasonality on intrahospital patient transfer patterns: network analysis applied on a Norwegian single-centre data set.

Authors:  Chi Zhang; Torsten Eken; Silje Bakken Jørgensen; Magne Thoresen; Signe Søvik
Journal:  BMJ Open       Date:  2022-03-29       Impact factor: 2.692

3.  The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil.

Authors:  Miguel A L Nicolelis; Rafael L G Raimundo; Pedro S Peixoto; Cecilia S Andreazzi
Journal:  Sci Rep       Date:  2021-06-21       Impact factor: 4.379

Review 4.  Whole Genome Sequencing for Surveillance of Diphtheria in Low Incidence Settings.

Authors:  Helena M B Seth-Smith; Adrian Egli
Journal:  Front Public Health       Date:  2019-08-21

5.  Metapopulation ecology links antibiotic resistance, consumption, and patient transfers in a network of hospital wards.

Authors:  Julie Teresa Shapiro; Gilles Leboucher; Anne-Florence Myard-Dury; Pascale Girardo; Anatole Luzzati; Mélissa Mary; Jean-François Sauzon; Bénédicte Lafay; Olivier Dauwalder; Frédéric Laurent; Gerard Lina; Christian Chidiac; Sandrine Couray-Targe; François Vandenesch; Jean-Pierre Flandrois; Jean-Philippe Rasigade
Journal:  Elife       Date:  2020-10-27       Impact factor: 8.140

  5 in total

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