Literature DB >> 15241074

Epidemiology and control of antibiotic resistance in the intensive care unit.

Jean Carlet1, Adel Ben Ali, Annie Chalfine.   

Abstract

PURPOSE OF REVIEW: Resistance to antibiotics is very high in the intensive care units of many countries, although there are several exceptions. Some infections are becoming extremely difficult to treat. The risk of cross-transmission of those strains is very high. This review focuses on recent data (2003 to the present) that may help understanding and dealing with this serious public health problem. RECENT
FINDINGS: Intensive care units can be considered as 'factories' for creating, disseminating and amplifying resistance to antibiotics, for many reasons: importation of resistant microorganisms at admission, selection of resistant strains with an extensive use of broad-spectrum antibiotics, cross-transmission of resistant strains via the hands or the environment. Some national programs can be considered as failures, as in the UK and the USA. Other countries have been able to maintain a low level of resistance (Scandinavian countries, Netherlands, Switzerland, Germany, Canada). There is clearly an 'inoculum effect' above which preventive measures become poorly efficient. Several preventive measures have been proposed including preventive isolation, systematic screening at admission, local, national or international antibiotic guidelines, antibiotic prescriptions advice by infectious-disease teams, antibiotic prevention with selective digestive decontamination, antibiotic strategies such as 'cycling', or rather, for some authors, the use of an 'à la carte' antibiotic strategy which could be considered as a 'patient-to-patient antibiotic rotation'.
SUMMARY: There is obviously an international concern regarding the level of resistance to antibiotics in the intensive-care-unit setting. A strong program including prevention of cross-transmission and better usage of antibiotics seems to be needed in order to be successful. We do not know if this kind of program will enable countries with a very high endemic level of resistance to decrease the level in future years.

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Year:  2004        PMID: 15241074     DOI: 10.1097/01.qco.0000136927.29802.68

Source DB:  PubMed          Journal:  Curr Opin Infect Dis        ISSN: 0951-7375            Impact factor:   4.915


  16 in total

1.  Exogenous carbon monoxide suppresses Escherichia coli vitality and improves survival in an Escherichia coli-induced murine sepsis model.

Authors:  Wei-chang Shen; Xu Wang; Wei-ting Qin; Xue-feng Qiu; Bing-wei Sun
Journal:  Acta Pharmacol Sin       Date:  2014-11-17       Impact factor: 6.150

2.  Activity of meropenem with and without ciprofloxacin and colistin against Pseudomonas aeruginosa and Acinetobacter baumannii.

Authors:  Glenn A Pankuch; Gengrong Lin; Harald Seifert; Peter C Appelbaum
Journal:  Antimicrob Agents Chemother       Date:  2007-10-29       Impact factor: 5.191

3.  Activity of levofloxacin alone and in combination with a DnaK inhibitor against gram-negative rods, including levofloxacin-resistant strains.

Authors:  Kim Credito; Gengrong Lin; Laura Koeth; Michael A Sturgess; Peter C Appelbaum
Journal:  Antimicrob Agents Chemother       Date:  2008-11-17       Impact factor: 5.191

4.  Incidence and risk factors of device-associated infections and associated mortality at the intensive care in the Dutch surveillance system.

Authors:  Tjallie I I van der Kooi; Annette S de Boer; Judith Manniën; Jan C Wille; Mariëlle T Beaumont; Ben W Mooi; Susan van den Hof
Journal:  Intensive Care Med       Date:  2006-12-05       Impact factor: 17.440

5.  Combined biomarkers discriminate a low likelihood of bacterial infection among surgical intensive care unit patients with suspected sepsis.

Authors:  Brendan J Kelly; Ebbing Lautenbach; Irving Nachamkin; Susan E Coffin; Jeffrey S Gerber; Barry D Fuchs; Charles Garrigan; Xiaoyan Han; Warren B Bilker; Jacqueleen Wise; Pam Tolomeo; Jennifer H Han
Journal:  Diagn Microbiol Infect Dis       Date:  2016-01-08       Impact factor: 2.803

6.  Meta-analysis of experimental data concerning antimicrobial resistance gene transfer rates during conjugation.

Authors:  Paul R Hunter; Dawn C Wilkinson; Louise A Catling; Gary C Barker
Journal:  Appl Environ Microbiol       Date:  2008-08-15       Impact factor: 4.792

7.  Use of a Combination Biomarker Algorithm To Identify Medical Intensive Care Unit Patients with Suspected Sepsis at Very Low Likelihood of Bacterial Infection.

Authors:  Jennifer H Han; Irving Nachamkin; Susan E Coffin; Jeffrey S Gerber; Barry Fuchs; Charles Garrigan; Xiaoyan Han; Warren B Bilker; Jacqueleen Wise; Pam Tolomeo; Ebbing Lautenbach
Journal:  Antimicrob Agents Chemother       Date:  2015-08-03       Impact factor: 5.191

Review 8.  Bench-to-bedside review: antimicrobial utilization strategies aimed at preventing the emergence of bacterial resistance in the intensive care unit.

Authors:  Marin H Kollef
Journal:  Crit Care       Date:  2005-06-27       Impact factor: 9.097

Review 9.  Epidemiology of severe sepsis.

Authors:  Florian B Mayr; Sachin Yende; Derek C Angus
Journal:  Virulence       Date:  2013-12-11       Impact factor: 5.882

10.  Time to First Culture Positivity Among Critically Ill Adults With Methicillin-Resistant Staphylococcus aureus Growth in Respiratory or Blood Cultures.

Authors:  Paige A Melling; Michael J Noto; Todd W Rice; Matthew W Semler; Joanna L Stollings
Journal:  Ann Pharmacother       Date:  2019-09-22       Impact factor: 3.154

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