Hospital-associated Clostridium difficile infection and reservoirs within the hospital environment.

BACKGROUND: Clostridium difficile infection (CDI) is a leading cause of hospital-associated infections. Antibiotic stewardship, environmental disinfection, and reduction of transmission via health care workers are the major modes of CDI prevention within hospitals. METHODS: The aim of this study was to evaluate the role of the environment in the spread of CDI within hospital rooms. Bed tracing of positive-CDI inpatients was performed to detect the strength of association to specific rooms. Environmental cultures were conducted to identify adequacy of environmental C difficile (CD) spores. Whole-genome sequencing was performed to evaluate the degree of CD relatedness. RESULTS: Bed tracing performed for 211 CDI patients showed a limited list of high-burden rooms. Environmental cultures for surfaces disinfected with a sporicidal agent were almost entirely negative, whereas the floors were positive for CDI in 15% of the studied patient rooms. Whole-genome sequencing did not detect any close genetic relatedness. CONCLUSIONS: Unlike in an outbreak setting, bed tracing did not yield conclusive results of room reservoirs. The C diff Banana Broth culture was inexpensive, sensitive, and easy to incubate under aerobic conditions. Sporicidal disinfectants were effective in eliminating CD from the environment. CD spores were found on floors and hard-to-clean surfaces.

Disparities in the incidence of community-acquired Clostridioides difficile infection: An area-based assessment of the role of social determinants in Bernalillo County, New Mexico.

BACKGROUND: Community-associated Clostridioides difficile infections (CA-CDIs) share many risk factors with health care-associated cases, although the role of socioeconomic factors is poorly understood. This study estimates the influence of several census tract-level measures of socioeconomic status on CA-CDI incidence rates. METHODS: CA-CDI case data from the New Mexico Emerging Infections Program were analyzed using quasi-Poisson regression modeling. Geocoded cases were assigned census tract-level socioeconomic measures to explore racial, ethnic and socioeconomic disparities in CA-CDI incidence. RESULTS: Regression modeling identified census tract-level socioeconomic measures as well as individual and medical measures that together accounted for 57% of the variance in CA-CDI rates. At the census tract level, socioeconomic factors associated with an increase in CA-CDI incidence included a high percentage of individuals lacking health insurance and a low percentage of individuals with low educational attainment. A subanalysis that included racial and ethnic designation revealed that ethnicity had no significant effect, but compared to white race, other races were significantly more likely to acquire CA-CDI. CONCLUSIONS: Although this work reveals the role of certain socioeconomic and race and ethnicity risk factors in the incidence of CA-CDI, it also underscores the complex relationships that exist between socioeconomic status and access to health care.

Molecular epidemiology and antimicrobial susceptibility of Clostridium difficile isolates from two Korean hospitals.

Clostridium difficile is one of the main etiological agents causing antibiotic-associated diarrhea. This study investigated the genetic diversity of 70 toxigenic C. difficile isolates from two Korean hospitals by employing toxinotyping, ribotyping, multilocus sequence typing (MLST), and pulsed-field gel electrophoresis (PFGE). Toxin gene amplification resulted in 68 A⁺B⁺ and two A-B+ isolates. Most isolates (95.7-100%) were susceptible to daptomycin, metronidazole, and vancomycin. Seventy C. difficile isolates were classified into five toxinotypes, 19 ribotypes, 16 sequence types (STs), and 33 arbitrary pulsotypes. All C. difficile isolates of ribotype 018 (n = 38) were classified into ST17, which was the most prevalent ST in both hospitals. However, C. difficile isolates of ST17 (ribotype 018) exhibited pulsotypes that differed by hospital. ST2 (ribotype 014/020), 8 (ribotypes 002), 17 (ribotype 018), and 35 (ribotypes 015) were detected in both hospitals, whereas other STs were unique to each hospital. Statistical comparison of the different typing methods revealed that ribotyping and PFGE were highly predictive of STs. In conclusion, our epidemiological study indicates that C. difficile infections in both hospitals are associated with the persistence of endemic clones coupled with the emergence of many unique clones. A combination of MLST with PFGE or ribotyping could be useful for monitoring epidemic C. difficile strains and the emergence of new clones in hospitals.

Racial and ethnic disparities in health care-associated Clostridium difficile infections in the United States: State of the science.

BACKGROUND: Among health care-associated infections (HAIs), Clostridium difficile infections (CDIs) are a major cause of morbidity and mortality in the United States. As national progress toward CDI prevention continues, it will be critical to ensure that the benefits from CDI prevention are realized across different patient demographic groups, including any targeted interventions. METHODS: Through a comprehensive review of existing evidence for racial/ethnic and other disparities in CDIs, we identified a few general trends, but the results were heterogeneous and highlight significant gaps in the literature. RESULTS: The majority of analyzed studies identified white patients as at increased risk of CDIs, although there is a very limited literature base, and many studies had significant methodological limitations. CONCLUSION: Key recommendations for future research are provided to address antimicrobial stewardship programs and populations that may be at increased risk for CDIs.

Racial Differences in Clostridium difficile Infection Rates Are Attributable to Disparities in Health Care Access.

This study confirms previously reported racial differences in Clostridium difficile infection (CDI) rates in the United States and explores the nature of those differences. We conducted a retrospective study using the 2010 Nationwide Inpatient Sample, the largest all-payer database of hospital discharges in the United States. We identified hospital stays most likely to include antibiotic treatment for infections, based on hospital discharge diagnoses, and we examined how CDI rates varied, in an attempt to distinguish between genotypic and environmental racial differences. Logistic regressions for the survey design were used to test hypotheses. Among patients likely to have received antibiotics, white patients had higher CDI rates than black, Hispanic, Asian, and Native American patients (P < 0.0001). CDI rates increased with higher income levels and were higher for hospitalizations paid by private insurance versus those paid by Medicaid or classified as self-pay or free care (P < 0.0001). Among patients admitted from skilled nursing facilities, where racial bias in health care access is less, racial differences in CDI rates disappeared (P = 1.0). Infected patients did not show racial differences in rates of complicated CDI or death (P = 1.0). Although white patients had greater CDI rates than nonwhite patients, racial differences in CDI rates disappeared in a population for which health care access was presumed to be less racially biased. This provides evidence that apparent racial differences in CDI risks may represent health care access disparities, rather than genotypic differences. CDI represents a deviation from the paradigm that increased health care access is associated with less morbidity.