[Skip to Content]
[Skip to Content Landing]
Views 1,161
Citations 0
Invited Commentary
April 2015

Uncovering the Role of Antibiotics in the Transmission of Multidrug-Resistant Organisms

Author Affiliations
  • 1Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
JAMA Intern Med. 2015;175(4):633-634. doi:10.1001/jamainternmed.2014.8279

Conventional wisdom has suggested 2 distinct categories of epidemiologic risk factors in the development of Clostridium difficile infection (CDI): factors that increase the risk of transmission of C difficile and factors that disrupt the patient’s lower intestinal microbiota, a major host defense against infection. This host defense function may be best understood in terms of the expression of these microorganisms’ collective and representative genome, known as the microbiome. Although antibiotics appear to be the major disruptive force of the microbiome in hospitalized patients, evidence indicates that other medications, such as proton pump inhibitors and antidepressants, and chronic conditions, such as obesity,1 may also be associated with microbiome disruption and/or CDI. In addition to increasing the risk of infection, the microbiome disruption from antibiotics may also increase C difficile transmission via increased likelihood of asymptomatic colonization and, once colonized, increasing clonal expansion and domination of the microbiota by C difficile. Meanwhile, there is increasing evidence pointing to the importance of asymptomatic carriers in the transmission of C difficile in hospitals. However, few studies have examined the epidemiology of antibiotics affecting transmission of C difficile among patients, something Brown et al2 have addressed in this issue of JAMA Internal Medicine.

This study examined an individual acute care hospital cohort for 4 years, capturing individual-level risk factors, such as age, sex, previous admission, and inpatient medication exposures, including but not limited to antibiotic exposures. In addition, mean characteristics of the ward or unit population during the 46-month study period were recorded, including mean age, feeding tube use, and antibiotic, chemotherapeutic, and antacid medication use in days of therapy per 100 patient-days. Other ward- and unit-level risk factors included patient density and hand hygiene adherence. Multivariable models and, most important, a multilevel model were constructed in which patient and ward factors were examined together in regard to their increasing risk of CDI.

The major finding was that each 10% increase in overall ward or unit antibiotic exposure was independently associated with a 34% increase in CDI. Other previously described patient risk factors associated with individual CDI risk in the multilevel model included age and antibiotic, chemotherapy, and feeding tube exposures in the preceding 7 days.

The main finding of this study reveals how antibiotics, by affecting the microbiomes of a subset of patients across a population (patients in wards or units of a hospital), puts the entire population, including those who do not receive antibiotics, at increased risk via increased transmission. The converse is also true; if unnecessary antibiotic use is decreased through improved stewardship, it will lead to a proportionate decrease in CDI. This same indirect effect of disrupting the microbiome of neighboring patients, rendering them more at risk for asymptomatic colonization and, once colonized, at increased risk for transmission, may be an important role for antibiotics in the epidemiology of a number of other multidrug-resistant organisms, including carbapenem-resistant Enterobacteriaceae and vancomycin-resistant enterococci.

Given the importance of understanding how antibiotics can increase the risk of transmission and thereby potentially affect the health of neighboring patients, future studies should focus on improving our understanding through 2 main improvements in study design. One is to adjust for colonization pressure, defined as the proportion of patients already colonized or infected with C difficile at the time of admission to the ward or unit. Although ideally this adjustment would be accomplished by active surveillance testing on admission, this practice is not currently recommended in the control of CDI. However, it appears likely, although not proven, that the rate of CDI with onset in the first 48 hours of admission correlates with asymptomatic colonization rates across inpatient settings; such prevalence of CDI on admission is an important factor for risk-adjusting rates of hospital-onset CDI.3 Thus, prevalence of CDI on admission should be included in future studies to account for potential differences in the prevalence of asymptomatic colonization. For example, a low prevalence of colonization on admission may explain the outlier status of the burn unit in the study by Brown et al2 in which, despite high rates of antibiotic use, there were low rates of CDI. Not only were these patients younger, they were also more likely admitted from the community without previous antibiotic or health care exposures, all factors that would be expected to result in a lower rate of asymptomatic colonization on admission. In contrast to the larger effect size found by Brown et al, a recent estimate in which direct and indirect antibiotic effects were modeled, along with hospital CDI rates to control for colonization pressure, suggested that a 30% decrease in high-risk antibiotics would result in only a 26% decrease in hospital-onset CDI.4

Another important area for consideration is the ward and unit population effects of different risky antibiotics. Although antibiotic exposures in the study by Brown et al were stratified as low, medium, and high risk in the evaluation of individual patient risks, it is not clear that they were considered separately in this way in the ward- and unit-based analysis.2 Because there were only 16 wards and units and 255 new-onset cases of CDI in the study, such additional stratification may not have produced meaningful results. Although certain drugs, such as broad-spectrum penicillins, have a marked effect on the human lower intestinal microbiome, they have intrinsic activity against C difficile, leading to the suppression of the organism while the patient is receiving the agent.5 Experience from England suggests there was a major national decrease in CDI temporally related to a marked shift in inpatient antibiotic prescribing away from cephalosporins and fluoroquinolones in favor of greater use of broad-spectrum penicillins, with no change in overall use.6 Meanwhile, the proportion of all cases caused by the hypervirulent, fluoroquinolone-resistant polymerase chain reaction ribotype 027 strain decreased.7 Thus, future studies based on the foundational work of Brown et al should be larger multicentered studies that account for CDI or colonization prevalence on admission, the virulence of major strains and their acquired resistance, and the differential effects of different antibiotic classes.

Back to top
Article Information

Corresponding Author: L. Clifford McDonald, MD, Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, 1600 Clifton Rd, Mail Stop A35, Atlanta, GA 3033 (Cmcdonald1@cdc.gov).

Published Online: February 23, 2015. doi:10.1001/jamainternmed.2014.8279.

Conflict of Interest Disclosures: None reported.

Disclaimer: The findings and conclusions in this report are those of the author and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Bishara  J, Farah  R, Mograbi  J,  et al.  Obesity as a risk factor for Clostridium difficile infection.  Clin Infect Dis. 2013;57(4):489-493.PubMedGoogle ScholarCrossref
Brown  K, Valenta  K, Fisman  D, Simor  A, Daneman  N.  Hospital ward antibiotic prescribing and the risks of Clostridium difficile infection [published online February 23, 2015].  JAMA Intern Med. doi:10.1001/jamainternmed.2014.8273.Google Scholar
Zilberberg  MD, Tabak  YP, Sievert  DM,  et al.  Using electronic health information to risk-stratify rates of Clostridium difficile infection in US hospitals.  Infect Control Hosp Epidemiol. 2011;32(7):649-655.PubMedGoogle ScholarCrossref
Fridkin  S, Baggs  J, Fagan  R,  et al; Centers for Disease Control and Prevention (CDC).  Vital signs: improving antibiotic use among hospitalized patients.  MMWR Morb Mortal Wkly Rep. 2014;63(9):194-200.PubMedGoogle Scholar
Baines  SD, Freeman  J, Wilcox  MH.  Effects of piperacillin/tazobactam on Clostridium difficile growth and toxin production in a human gut model.  J Antimicrob Chemother. 2005;55(6):974-982.PubMedGoogle ScholarCrossref
Ashiru-Oredope  D, Sharland  M, Charani  E, McNulty  C, Cooke  J; ARHAI Antimicrobial Stewardship Group.  Improving the quality of antibiotic prescribing in the NHS by developing a new Antimicrobial Stewardship Programme: Start Smart–Then Focus.  J Antimicrob Chemother. 2012;67(suppl 1):i51-i63.PubMedGoogle ScholarCrossref
Wilcox  MH, Shetty  N, Fawley  WN,  et al.  Changing epidemiology of Clostridium difficile infection following the introduction of a national ribotyping-based surveillance scheme in England.  Clin Infect Dis. 2012;55(8):1056-1063.PubMedGoogle ScholarCrossref