Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2013 Apr;26(2):289-307.
doi: 10.1128/CMR.00001-13.

Epidemiological interpretation of studies examining the effect of antibiotic usage on resistance

Affiliations
Review

Epidemiological interpretation of studies examining the effect of antibiotic usage on resistance

Vered Schechner et al. Clin Microbiol Rev. 2013 Apr.

Abstract

Bacterial resistance to antibiotics is a growing clinical problem and public health threat. Antibiotic use is a known risk factor for the emergence of antibiotic resistance, but demonstrating the causal link between antibiotic use and resistance is challenging. This review describes different study designs for assessing the association between antibiotic use and resistance and discusses strengths and limitations of each. Approaches to measuring antibiotic use and antibiotic resistance are presented. Important methodological issues such as confounding, establishing temporality, and control group selection are examined.

PubMed Disclaimer

Figures

Fig 1
Fig 1
Trends in percent MRSA and incidence of Staphylococcus aureus central line-associated bloodstream infections (CLABSI) in intensive care units, from the National Nosocomial Infections Surveillance System, 1997 to 2004, and National Healthcare Safety Network, 2006 to 2007. MSSA, methicillin-susceptible S. aureus. (Reprinted from reference with permission of the publisher. Copyright © 2009 American Medical Association. All rights reserved.)
Fig 2
Fig 2
Types of quasiexperimental study designs used in antibiotic resistance research (Modified from reference with permission of the Infectious Diseases Society of America.)
Fig 3
Fig 3
Relationship between quinolone consumption (top) and susceptibility of E. coli isolates from urine cultures to quinolones (bottom), by month. The shaded area is the intervention period; to the left is the preintervention period, and to the right is the postintervention period. DDD, defined daily dose. (Modified from reference with permission of the Infectious Diseases Society of America.)
Fig 4
Fig 4
Suggested guidelines for evaluating studies examining the effect of antibiotic usage on resistance.
None
None
None
None
None

References

    1. Rosenthal VD, Maki DG, Jamulitrat S, Medeiros EA, Todi SK, Gomez DY, Leblebicioglu H, Abu Khader I, Miranda Novales MG, Berba R, Ramirez Wong FM, Barkat A, Pino OR, Duenas L, Mitrev Z, Bijie H, Gurskis V, Kanj SS, Mapp T, Hidalgo RF, Ben Jaballah N, Raka L, Gikas A, Ahmed A, Thu LTA, Guzman Siritt ME. 2010. International Nosocomial Infection Control Consortium (INICC) report, data summary for 2003-2008, issued June 2009. Am. J. Infect. Control 38:95–104 - PubMed
    1. Baquero F, Negri MC, Morosini MI, Blazquez J. 1998. Antibiotic-selective environments. Clin. Infect. Dis. 27(Suppl 1):S5–S11 doi:10.1086/514916 - DOI - PubMed
    1. Harbarth S, Harris AD, Carmeli Y, Samore MH. 2001. Parallel analysis of individual and aggregated data on antibiotic exposure and resistance in gram-negative bacilli. Clin. Infect. Dis. 33:1462–1468 - PubMed
    1. Daniel W. 1940. The principles of chemotherapy in gonorrhea. South. Med. Surg. 102:114–115
    1. Rammelkamp C, Maxon T. 1942. Resistance of Staphylococcus aureus to the action of penicillin. Proc. Soc. Exp. Biol. Med. 51:386–389

Publication types

MeSH terms

Substances

LinkOut - more resources