To identify prescriber characteristics that predict antibiotic high-prescribing behavior to inform statewide antimicrobial stewardship interventions.

Retrospective analysis of 2016 IQVIA Xponent, formerly QuintilesIMS, outpatient retail pharmacy oral antibiotic prescriptions in Tennessee.

Statewide retail pharmacies filling outpatient antibiotic prescriptions.

Prescribers who wrote at least 1 antibiotic prescription filled at a retail pharmacy in Tennessee in 2016.

Multivariable logistic regression, including prescriber gender, birth decade, specialty, and practice location, and patient gender and age group, to determine the association with high prescribing.

In 2016, 7,949,816 outpatient oral antibiotic prescriptions were filled in Tennessee: 1,195 prescriptions per 1,000 total population. Moreover, 50% of Tennessee’s outpatient oral antibiotic prescriptions were written by 9.3% of prescribers. Specific specialties and prescriber types were associated with high prescribing: urology (odds ratio [OR], 3.249; 95% confidence interval [CI], 3.208–3.289), nurse practitioners (OR, 2.675; 95% CI, 2.658–2.692), dermatologists (OR, 2.396; 95% CI, 2.365–2.428), physician assistants (OR, 2.382; 95% CI, 2.364–2.400), and pediatric physicians (OR, 2.340; 95% CI, 2.320–2.361). Prescribers born in the 1960s were most likely to be high prescribers (OR, 2.574; 95% CI, 2.532–2.618). Prescribers in rural areas were more likely than prescribers in all other practice locations to be high prescribers. High prescribers were more likely to prescribe broader-spectrum antibiotics (P < .001).

Targeting high prescribers, independent of specialty, degree, practice location, age, or gender, may be the best strategy for implementing cost-conscious, effective outpatient antimicrobial stewardship interventions. More information about high prescribers, such as patient volumes, clinical scope, and specific barriers to intervention, is needed.

Clostridioides difficile infection (CDI) can be prevented through infection prevention practices and antibiotic stewardship. Diagnostic stewardship (ie, strategies to improve use of microbiological testing) can also improve antibiotic use. However, little is known about the use of such practices in US hospitals, especially after multidisciplinary stewardship programs became a requirement for US hospital accreditation in 2017. Thus, we surveyed US hospitals to assess antibiotic stewardship program composition, practices related to CDI, and diagnostic stewardship.

Surveys were mailed to infection preventionists at 900 randomly sampled US hospitals between May and October 2017. Hospitals were surveyed on antibiotic stewardship programs; CDI prevention, treatment, and testing practices; and diagnostic stewardship strategies. Responses were compared by hospital bed size using weighted logistic regression.

Overall, 528 surveys were completed (59% response rate). Almost all (95%) responding hospitals had an antibiotic stewardship program. Smaller hospitals were less likely to have stewardship team members with infectious diseases (ID) training, and only 41% of hospitals met The Joint Commission accreditation standards for multidisciplinary teams. Guideline-recommended CDI prevention practices were common. Smaller hospitals were less likely to use high-tech disinfection devices, fecal microbiota transplantation, or diagnostic stewardship strategies.

Following changes in accreditation standards, nearly all US hospitals now have an antibiotic stewardship program. However, many hospitals, especially smaller hospitals, appear to struggle with access to ID expertise and with deploying diagnostic stewardship strategies. CDI prevention could be enhanced through diagnostic stewardship and by emphasizing the role of non–ID-trained pharmacists and clinicians in antibiotic stewardship.

Efforts to reduce Clostridioides difficile infection (CDI) have targeted transmission from patients with symptomatic C. difficile. However, many patients with the C. difficile organism are carriers without symptoms who may serve as reservoirs for spread of infection and may be at risk for progression to symptomatic C. difficile. To estimate the prevalence of C. difficile carriage and determine the risk and speed of progression to symptomatic C. difficile among carriers, we established a pilot screening program in a large urban hospital.

Prospective cohort study.

An 800-bed, tertiary-care, academic medical center in the Bronx, New York.

A sample of admitted adults without diarrhea, with oversampling of nursing facility patients.

Perirectal swabs were tested by polymerase chain reaction for C. difficile within 24 hours of admission, and patients were followed for progression to symptomatic C. difficile. Development of symptomatic C. difficile was compared among C. difficile carriers and noncarriers using a Cox proportional hazards model.

Of the 220 subjects, 21 (9.6%) were C. difficile carriers, including 10.2% of the nursing facility residents and 7.7% of the community residents (P = .60). Among the 21 C. difficile carriers, 8 (38.1%) progressed to symptomatic C. difficile, but only 4 (2.0%) of the 199 noncarriers progressed to symptomatic C. difficile (hazard ratio, 23.9; 95% CI, 7.2–79.6; P < .0001).

Asymptomatic carriage of C. difficile is prevalent among admitted patients and confers a significant risk of progression to symptomatic CDI. Screening for asymptomatic carriers may represent an opportunity to reduce CDI.

Interfacility patient movement plays an important role in the dissemination of antimicrobial-resistant organisms throughout healthcare systems. We evaluated how 3 alternative measures of interfacility patient sharing were associated with C. difficile infection incidence in Ontario acute-care facilities.

The cohort included adult acute-care facility stays of ≥3 days between April 2003 and March 2016. We measured 3 facility-level metrics of patient sharing: general patient importation, incidence-weighted patient importation, and C. difficile case importation. Each of the 3 patient-sharing metrics were examined against the incidence of C. difficile infection in the facility per 1,000 stays, using Poisson regression models.

The analyzed cohort included 6.70 million stays at risk of C. difficile infection across 120 facilities. Over the 13-year period, we included 62,189 new cases of healthcare-associated CDI (incidence, 9.3 per 1,000 stays). After adjustment for facility characteristics, general importation was not strongly associated with C. difficile infection incidence (risk ratio [RR] per doubling, 1.10; 95% confidence interval [CI], 0.97–1.24; proportional change in variance [PCV], −2.0%). Incidence-weighted (RR per doubling, 1.18; 95% CI, 1.06–1.30; PCV, −8.4%) and C. difficile case importation (RR per doubling, 1.43; 95% CI, 1.29–1.58; PCV, −30.1%) were strongly associated with C. difficile infection incidence.

In this 13-year study of acute-care facilities in Ontario, interfacility variation in C. difficile infection incidence was associated with importation of patients from other high-incidence acute-care facilities or specifically of patients with a recent history of C. difficile infection. Regional infection control strategies should consider the potential impact of importation of patients at high risk of C. difficile shedding from outside facilities.

To evaluate whether clinical cultures are an appropriate surrogate for surveillance cultures to measure the effect of interventions on the incidence of MRSA and VRE in the hospital.

Cross-sectional and quasi-experimental, retrospective analysis

Convenience sample of patients admitted between January 1, 2002, and June 31, 2011, to the medical intensive care unit (MICU) and surgical intensive care unit (SICU) of an acute-care hospital in the United States.

Asynchronously in the MICU and SICU, we introduced (1) universal glove and gown use, (2) bundled intervention to prevent central-line–associated bloodstream infection, and (3) daily chlorhexidine gluconate bathing.

We observed a statistically significant correlation between surveillance and clinical culture-based incidence rates of MRSA in the MICU (0.32; P < .001) and the SICU (0.37; P < .001) but not for VRE in either the MICU (0.16, P = .11) or the SICU (0.15; P = .12). For VRE, but not for MRSA, incidence density rates based on surveillance cultures were 2- to 4-fold higher than for clinical cultures. When evaluating the impacts of the interventions, different effect estimates were noted for universal glove and gown use on MRSA acquisition in MICU, and for VRE acquisition in both the MICU and the SICU based on surveillance versus clinical cultures.

For multidrug-resistant organism acquisition, surveillance cultures should be used when feasible because clinical cultures may not be an appropriate surrogate. Clinical or surveillance-based end points for infection control interventions should reflect the conceptual model from colonization to infection and where an intervention might have an effect, rather than considering them interchangeable.

We evaluated environmental contamination by carbapenem-resistant Acinetobacter baumannii (CRAB), the effectiveness of cleaning practices, the performance of aerosolized hydrogen-peroxide (aHP) technology, and the correlation between measures of cleaning and environmental contamination.

Serial testing of environmental contamination during a 7-month period.

Single-patient rooms in intensive care units (ICUs) and multipatient step-up and regular rooms in internal medicine wards in a tertiary-care hospital with endemic CRAB.

CRAB environmental contamination was determined semiquantitatively using sponge sampling.

In step-up rooms, 91% of patient units (56% of objects) were contaminated, and half of them were heavily contaminated. In regular rooms, only 21% of patient units (3% of objects) were contaminated. In ICUs, 76% of single-patient rooms (24% of objects) were contaminated. Cleaning did not reduce the number of contaminated objects or patient units in step-up rooms. After refresher training, cleaning reduced the proportion of contaminated objects by 2-fold (P = .001), but almost all patient units remained contaminated. Using aerosolized hydrogen peroxide (aHP) disinfection after discharge of a known CRAB-carrier decreased room contamination by 78%, similar to the reduction achieved by manual hypochloride cleaning. Measuring cleaning efficacy using fluorescent gel did not correlate with recovery of CRAB by sponge cultures.

In step-up rooms, the high number of objects contaminated combined with poor efficacy of cleaning resulted in failure to eliminate CRAB in patient units. Fluorescent gel is a poor detector of CRAB contamination. The role of aHP is still unclear. However, its use in multipatient rooms is limited because it can only be used in unoccupied rooms.

To evaluate the efficacy of detergent and friction on removal of traditional biofilm and cyclic-buildup biofilm (CBB) from polytetrafluoroethylene (PTFE) channels and to evaluate the efficacy of glutaraldehyde to kill residual bacteria after cleaning.

PTFE channels were exposed to artificial test soil containing 108 CFU/mL of Pseudomonas aeruginosa and Enterococcus faecalis, followed by full cleaning and high-level disinfection (HLD) for five repeated rounds to establish CBB. For traditional biofilm, the HLD step was omitted. Cleaning with enzymatic and alkaline detergents, bristle brush, and Pull Thru channel cleaner were compared to a water flush only. Carbohydrate, protein, viable count, adenosine triphosphate (ATP) levels were analyzed and atomic force microscopy (AFM) was performed.

In the absence of friction, cleaning of traditional biofilm and CBB was not effective compared to the positive control (Dunn-Bonferroni tests; P > .05) regardless of the detergent used. ATP, protein, and carbohydrate analyses were unable to detect traditional biofilm or CBB. The AFM analysis showed that fixation resulted in CBB being smoother and more compact than traditional biofilm.

Friction during the cleaning process was a critical parameter regardless of the detergent used for removal of either traditional biofilm or CBB. Glutaraldehyde effectively killed the remaining microorganisms regardless of the cleaning method used.

Healthcare-associated bloodstream infections (HABSIs) are a significant cause of mortality and morbidity in the neonatal intensive care unit (NICU) population. Our objectives were to review the epidemiology of HABSIs in our NICU and to examine the applicability of National Healthcare Safety Network (NHSN) definitions to the NICU population.

We performed a retrospective review of all neonates admitted to the 54-bed, level IV NICU at Yale-New Haven Children’s Hospital with a HABSI between January 1, 2013, and December 31, 2018. Clinical definitions per NICU team and NHSN site-specific definitions used for source identification were compared using the McNemar χ2 test.

We identified 86 HABSIs with an incidence rate of 0.80 per 1,000 patient days. Only 13% of these were CLABSIs. Both CLABSIs and non–catheter-related bloodstream infections occurred primarily in preterm neonates, but the latter were associated with a significantly higher incidence of comorbidities and the need for respiratory support. The NHSN definitions were less likely to identify a source compared to the clinical definitions agreed upon by our NICU treating team (P < .001). Furthermore, 50% of patients without an identified source of infection by NHSN definitions were bacteremic with a mucosal barrier injury organism, likely from gut translocation.

HABSIs occur primarily in premature infants with comorbidities, and CLABSIs account for a small proportion of these infections. With the increasing focus on HABSI prevention, there is a need for better NHSN site-specific definitions for the NICU population to prevent misclassification and direct prevention efforts.

To estimate the effects of continuous daily treatment with different acid suppressants on the risk of ventilator-associated events in critically ill patients.

Retrospective cohort study.

Adult critically ill patients who underwent mechanical ventilation for ≥3 days during an inpatient admission between January 2006 and December 2014.

We estimated the 30-day cumulative risk ratios (RRs) for ventilator-associated events comparing daily proton pump inhibitor (PPI) versus daily histamine-2-receptor antagonist (H2RA) strategies while controlling for time-fixed and time-varying confounding and accounting for competing events.

Of 6,133 patients, on ventilation day 3, 58.8% received H2RAs, 26.1% received PPIs, and 4.1% received sucralfate. Patients frequently changed treatment throughout follow-up. Among 4,595 patients receiving PPIs or H2RAs on day 3, we found no differences in risk estimates for ventilator mortality and extubation alive comparing daily PPI versus daily H2RA strategies: RR, mortality, 1.03 (95% CI, 0.89–1.22); extubation alive, 1.00 (95% CI, 0.96–1.03). We found similar results after accounting for PPI dose. For possible ventilator-associated pneumonia (PVAP) and infection-related ventilator-associated complication (IVAC), point estimates were larger, but the 95% CIs crossed 1.0: RR PVAP, 1.25 (95% CI, 0.80–1.94); IVAC, 0.89 (95% CI, 0.64–1.17). The magnitude of effect estimates depended on PPI dose. The RR for PVAP, high-dose PPI versus H2RA, was 1.53 (95% CI, 0.82–2.51), and for low-dose PPI versus H2RA, the RR was 0.97 (95% CI, 0.47–1.63). For IVAC, high-dose PPI versus H2RA, the RR was 1.01 (95% CI, 0.66–1.42), and for low-dose PPI versus H2RA, the RR was 0.78 (95% CI, 0.50–1.11).

We estimated no effect of daily PPI versus daily H2RA on risk of mortality or extubation alive in critically ill patients. Further investigation with larger samples is warranted for PVAP and IVAC.

Automated surveillance of healthcare-associated infections reduces workload and improves standardization, but it has not yet been adopted widely. In this study, we assessed the performance and feasibility of an easy implementable framework to develop algorithms for semiautomated surveillance of deep incisional and organ-space surgical site infections (SSIs) after orthopedic, cardiac, and colon surgeries.

Retrospective cohort study in multiple countries.

European hospitals were recruited and selected based on the availability of manual SSI surveillance data from 2012 onward (reference standard) and on the ability to extract relevant data from electronic health records. A questionnaire on local manual surveillance and clinical practices was administered to participating hospitals, and the information collected was used to pre-emptively design semiautomated surveillance algorithms standardized for multiple hospitals and for center-specific application. Algorithm sensitivity, positive predictive value, and reduction of manual charts requiring review were calculated. Reasons for misclassification were explored using discrepancy analyses.

The study included 3 hospitals, in the Netherlands, France, and Spain. Classification algorithms were developed to indicate procedures with a high probability of SSI. Components concerned microbiology, prolonged length of stay or readmission, and reinterventions. Antibiotics and radiology ordering were optional. In total, 4,770 orthopedic procedures, 5,047 cardiac procedures, and 3,906 colon procedures were analyzed. Across hospitals, standardized algorithm sensitivity ranged between 82% and 100% for orthopedic surgery, between 67% and 100% for cardiac surgery, and between 84% and 100% for colon surgery, with 72%–98% workload reduction. Center-specific algorithms had lower sensitivity.

Using this framework, algorithms for semiautomated surveillance of SSI can be successfully developed. The high performance of standardized algorithms holds promise for large-scale standardization.

Guidelines recommend empowering patients and families to remind healthcare workers (HCWs) to perform hand hygiene (HH). The effectiveness of empowerment tools for patients and their families in Southeast Asia is unknown.

We performed a prospective study in a pediatric intensive care unit (PICU) of a Vietnamese pediatric referral hospital. With family and HCW input, we developed a visual tool for families to prompt HCW HH. We used direct observation to collect baseline HH data. We then enrolled families to receive the visual tool and education on its use while continuing prospective collection of HH data. Multivariable logistic regression was used to identify independent predictors of HH in baseline and implementation periods.

In total, 2,014 baseline and 2,498 implementation-period HH opportunities were observed. During the implementation period, 73 families were enrolled. Overall, HCW HH was 46% preimplementation, which increased to 73% in the implementation period (P < .001). The lowest HH adherence in both periods occurred after HCW contact with patient surroundings: 16% at baseline increased to 24% after implementation. In multivariable analyses, the odds of HCW HH during the implementation period were significantly higher than baseline (adjusted odds ratio [aOR], 2.94; 95% confidence interval [CI], 2.54–3.41; P < .001) after adjusting for observation room, HCW type, time of observation (weekday business hours vs evening or weekend), and HH moment.

The introduction of a visual empowerment tool was associated with significant improvement in HH adherence among HCWs in a Vietnamese PICU. Future research should explore acceptability and barriers to use of similar tools in low- and middle-income settings.