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The majority of paediatric Clostridioides difficile infections (CDI) are community-associated (CA), but few data exist regarding associated risk factors. We conducted a case–control study to evaluate CA-CDI risk factors in young children. Participants were enrolled from eight US sites during October 2014–February 2016. Case-patients were defined as children aged 1–5 years with a positive C. difficile specimen collected as an outpatient or ⩽3 days of hospital admission, who had no healthcare facility admission in the prior 12 weeks and no history of CDI. Each case-patient was matched to one control. Caregivers were interviewed regarding relevant exposures. Multivariable conditional logistic regression was performed. Of 68 pairs, 44.1% were female. More case-patients than controls had a comorbidity (33.3% vs. 12.1%; P = 0.01); recent higher-risk outpatient exposures (34.9% vs. 17.7%; P = 0.03); recent antibiotic use (54.4% vs. 19.4%; P < 0.0001); or recent exposure to a household member with diarrhoea (41.3% vs. 21.5%; P = 0.04). In multivariable analysis, antibiotic exposure in the preceding 12 weeks was significantly associated with CA-CDI (adjusted matched odds ratio, 6.25; 95% CI 2.18–17.96). Improved antibiotic prescribing might reduce CA-CDI in this population. Further evaluation of the potential role of outpatient healthcare and household exposures in C. difficile transmission is needed.

Infectious Diseases Society of America/Society for Healthcare Epidemiology of America (IDSA/SHEA) guidelines describe recommended therapy for Clostridioides difficile infection (CDI). To describe CDI treatment and, among those with severe CDI, determine predictors of adherence to the 2010 IDSA/SHEA treatment guidelines. We analyzed 2013–2015 CDI treatment data collected through the Centers for Disease Control and Prevention’s Emerging Infections Program. Generalized linear mixed models were used to identify predictors of guideline-adherent therapy. A CDI case was defined as a positive stool specimen in a person aged ≥ 18 years without a positive test in the prior 8 weeks; severe CDI cases were defined as having a white blood cell count ≥ 15,000 cells/μl. Prescribing and predictors of guideline-adherent CDI therapy for severe disease. Of 18,243 cases, 14,257 (78%) were treated with metronidazole, 7683 (42%) with vancomycin, and 313 (2%) with fidaxomicin. The median duration of therapy was 14 (interquartile range, 11–15) days. Severe CDI was identified in 3250 (18%) cases; of 3121 with treatment data available, 1480 (47%) were prescribed guideline-adherent therapy. Among severe CDI cases, hospital admission (adjusted odds ratio [aOR] 2.48; 95% confidence interval [CI] 1.90, 3.24), age ≥ 65 years (aOR 1.37; 95% CI 1.10, 1.71), Charlson comorbidity index ≥ 3 (aOR 1.27; 95% CI 1.04, 1.55), immunosuppressive therapy (aOR 1.21; 95% CI 1.02, 1.42), and inflammatory bowel disease (aOR 1.56; 95% CI 1.13, 2.17) were associated with being prescribed guideline-adherent therapy. Provider adherence to the 2010 treatment guidelines for severe CDI was low. Although the updated 2017 CDI guidelines, which expand the use of oral vancomycin for all CDI, might improve adherence by removing the need to apply severity criteria, other efforts to improve adherence are likely needed, including educating providers and addressing barriers to prescribing guideline-adherent therapy, particularly in outpatient settings.

Background Incidence of Clostridium difficile infection (CDI) in children has been shown to be highest among those aged 1 to 3 years, with similar clinical presentation, disease severity, and outcomes as older children. In addition, a large proportion of CDI in children are community-associated (CA), but few data exist regarding associated risk factors. We sought to identify CA-CDI risk factors in younger children. Methods We enrolled children from 8 geographically-diverse U.S. sites during October 2014–February 2016. Case-patients were defined as children aged 12–60 months with a positive C. difficile stool specimen collected as an outpatient or within 3 days of hospitalization, who had no healthcare facility admission in the prior 12 weeks and no history of CDI. Each case-patient was matched to one randomly selected control (child with no prior history of CDI) by site and age group. Caretakers were interviewed about participants’ relevant exposures in the 12 weeks prior to case-patient’s illness onset date; univariate analysis was performed using exact conditional logistic regression. Results Of 138 children, 43.5% were female; 69.6% were 12–23 months old. A significantly higher proportion of cases than controls had: an underlying chronic medical condition (33.3% vs 11.9%; P = 0.02); a neonatal intensive care unit (NICU) stay at time of birth (26.9% vs 13.2%; P = 0.04); or recent antibiotic exposure (53.6% vs 20.6%; P = 0.0001). More cases than controls had recent higher-risk outpatient healthcare exposures (emergency department, outpatient procedure and surgical centers, hospital-based outpatient settings, or urgent care) (34.9% vs 19.1%; P = 0.06) or a household member with diarrhea (36.2% vs 20.6%; P = 0.05). No difference was found in the proportion of cases and controls who had a feeding tube (2.9% vs 0%; P = 0.50) or a recent exposure to gastric acid suppressants (6.1% vs 2.9%; P = 0.63). Conclusion Young children with underlying disease, NICU stay, or recent antibiotic use might be at higher risk for CA-CDI. Improving outpatient antibiotic use, particularly among children with comorbidities, might reduce CA-CDI in this population. Further investigation of other risk factors, including outpatient healthcare and household exposures, is needed. Disclosures All authors: No reported disclosures.

1Emory University School of Medicine, Department of Medicine, Atlanta, GA. 2Atlanta Veterans Affairs Medical Center, Atlanta, GA. 3Georgia Emerging Infections Program, Atlanta, GA. 4Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Infectious Diseases, Division of Healthcare Quality Promotion, Atlanta, GA. 5Oregon Health Authority, Public Health Division, Portland, OR. 6Tennessee Department of Health, Nashville, TN. 7University of Rochester Medical Center, Rochester, NY. 8Minnesota Department of Health, St. Paul, MN. 9Colorado Department of Public Health and Environment, Denver, CO. 10Ya le School of Public Health, Connecticut Emerging Infections Program, New Haven, CT. 11University of New Mexico, New Mexico Emerging Infections Program, Albuquerque, NM. 12Maryland Department of Health and Mental Hygiene, Baltimore, MD. 13Department of Medicine, University of Ca lifornia, San Francisco, School of Medicine, San Francisco, CA. 14Department of Medicine, Loyola University Chicago Stritch School of Medicine, Maywood, IL. 15Edward Hines, Jr., Veterans Affairs Hospital, Hines, IL

Health literacy impacts health outcomes. However, the relationship to blood pressure is inconsistent. This study aimed to determine whether health literacy, assessed by clinic staff, is associated with blood pressure among patients with hypertension. The design was a cross-sectional study of a large sample of primary care patient encounters in 3 academic medical center clinics in Nashville, Tennessee. Health literacy was assessed using the Brief Health Literacy Screen, with higher scores indicating higher health literacy. Blood pressure was extracted from the electronic health record. Using 23,483 encounters in 10,644 patients, the authors examined the association of health literacy with blood pressure in multivariable analyses, adjusting for age, gender, race, education, and clinic location. Independent of educational attainment, 3-point increases in health literacy scores were associated with 0.74 mmHg higher systolic blood pressure (95% CI [0.38, 1.09]) and 0.30 mmHg higher diastolic blood pressure (95% CI [0.08, 0.51]). No interaction between education and health literacy was observed (p = .91). In this large primary care population of patients with hypertension, higher health literacy, as screened in clinical practice, was associated with a small increase in blood pressures. Future research is needed to explore this unexpected finding.

Background The period following hospital discharge is a vulnerable time for patients when errors and poorly coordinated care are common. Suboptimal care transitions for patients admitted with cardiovascular conditions can contribute to readmission and other adverse health outcomes. Little research has examined the role of health literacy and other social determinants of health in predicting post-discharge outcomes. Methods The Vanderbilt Inpatient Cohort Study (VICS), funded by the National Institutes of Health, is a prospective longitudinal study of 3,000 patients hospitalized with acute coronary syndromes or acute decompensated heart failure. Enrollment began in October 2011 and is planned through October 2015. During hospitalization, a set of validated demographic, cognitive, psychological, social, behavioral, and functional measures are administered, and health status and comorbidities are assessed. Patients are interviewed by phone during the first week after discharge to assess the quality of hospital discharge, communication, and initial medication management. At approximately 30 and 90 days post-discharge, interviewers collect additional data on medication adherence, social support, functional status, quality of life, and health care utilization. Mortality will be determined with up to 3.5 years follow-up. Statistical models will examine hypothesized relationships of health literacy and other social determinants on medication management, functional status, quality of life, utilization, and mortality. In this paper, we describe recruitment, eligibility, follow-up, data collection, and analysis plans for VICS, as well as characteristics of the accruing patient cohort. Discussion This research will enhance understanding of how health literacy and other patient factors affect the quality of care transitions and outcomes after hospitalization. Findings will help inform the design of interventions to improve care transitions and post-discharge outcomes.