Literature DB >> 17488371

Antibiotic resistance: location, location, location.

D M Livermore1, A Pearson.   

Abstract

Antibiotic resistance surveys are published widely, citing percentage resistance rates, sometimes for vast transcontinental regions. Such data seem straightforward, but when one drills deeper, great complexity emerges. Rates for methicillin resistance among Staphylococcus aureus from bacteraemias vary from <1% to 50% among European countries, and vary greatly among both hospitals and hospital units. Methicillin-resistant S. aureus (MRSA) resistance rates are typically higher for tertiary-care hospitals and intensive care units than in general hospitals and wards, and lowest in single specialist centres. The likelihood of resistance also varies according to patient characteristics: those patients from nursing homes and with underlying disease, recent antibiotic treatment and hospitalisation are more likely to harbour resistant pathogens. Percentage rates themselves also may be misleading; they may be high only because the denominator is small or inaccurate; i.e., resistance may be common but the pathogen rare. Measures of disease burden-cases per 1000 bed-days or per 10(5) individuals-overcome this deficiency but are harder to collect, influenced by case mix, and associated with other problems: how to count part days or infections acquired elsewhere; most important, are all cases captured? National or international resistance statistics may illustrate trends and provide benchmarks, but for patient management, good local data are essential. Which units are most affected? Are the resistant infections locally acquired or imported with transferred patients? Are the resistant isolates clonal, indicating cross-infection, or diverse, indicating repeated selection or reflecting antibiotic policy? Unless these aspects of infection are considered, interventions to reduce resistance may be misdirected.

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Year:  2007        PMID: 17488371     DOI: 10.1111/j.1469-0691.2007.01724.x

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  13 in total

1.  Patient sharing and population genetic structure of methicillin-resistant Staphylococcus aureus.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-19       Impact factor: 11.205

Review 2.  Cellulitis: A Review of Current Practice Guidelines and Differentiation from Pseudocellulitis.

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3.  Patient referral patterns and the spread of hospital-acquired infections through national health care networks.

Authors:  Tjibbe Donker; Jacco Wallinga; Hajo Grundmann
Journal:  PLoS Comput Biol       Date:  2010-03-19       Impact factor: 4.475

4.  Gender and age-dependent etiology of community-acquired urinary tract infections.

Authors:  Enrico Magliano; Vittorio Grazioli; Loredana Deflorio; Antonia Isabella Leuci; Roberto Mattina; Paolo Romano; Clementina Elvezia Cocuzza
Journal:  ScientificWorldJournal       Date:  2012-04-26

5.  Efficient national surveillance for health-care-associated infections.

Authors:  B A D van Bunnik; M Ciccolini; C L Gibbons; G Edwards; R Fitzgerald; P R McAdam; M J Ward; I F Laurenson; M E J Woolhouse
Journal:  BMC Public Health       Date:  2015-08-28       Impact factor: 3.295

6.  Uropathogens and their antimicrobial resistance patterns: Relationship with urinary tract infections.

Authors:  Syed Suhail Ahmed; Ali Shariq; Abdulaziz Ajlan Alsalloom; Ibrahim H Babikir; Badr N Alhomoud
Journal:  Int J Health Sci (Qassim)       Date:  2019 Mar-Apr

7.  Implementation of a computerized decision support system to improve the appropriateness of antibiotic therapy using local microbiologic data.

Authors:  Manuel Rodriguez-Maresca; Antonio Sorlozano; Magnolia Grau; Rocio Rodriguez-Castaño; Andres Ruiz-Valverde; Jose Gutierrez-Fernandez
Journal:  Biomed Res Int       Date:  2014-08-17       Impact factor: 3.411

8.  Genetic Diversity of Imipenem-Resistant Acinetobacter baumannii Infections at an Intensive Care Unit.

Authors:  Amani Alnimr; Aisha Alamri; Afnan Alsultan
Journal:  Crit Care Res Pract       Date:  2020-02-21

9.  Stratification by demographic and clinical data of the antibiotic susceptibility of Escherichia coli from urinary tract infections of the community.

Authors:  Martín C Grados; Israel J Thuissard; Juan-Ignacio Alós
Journal:  Aten Primaria       Date:  2018-08-10       Impact factor: 1.137

10.  Transmission and Long-Term Colonization Patterns of Staphylococcus aureus in a Nursing Home.

Authors:  Martyna Kasela; Agnieszka Grzegorczyk; Izabela Korona-Głowniak; Mateusz Ossowski; Bożena Nowakowicz-Dębek; Anna Malm
Journal:  Int J Environ Res Public Health       Date:  2020-11-02       Impact factor: 3.390

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