Antimicrobial stewardship in the primary care setting: from dream to reality?

BACKGROUND: Clinicians who work in primary care are potentially the most influential healthcare professionals to address the problem of antibiotic resistance because this is where most antibiotics are prescribed. Despite a number of evidence based interventions targeting the management of community infections, the inappropriate antibiotic prescribing rates remain high. DISCUSSION: The question is how can appropriate prescribing of antibiotics through the use of Antimicrobial Stewardship (AMS) programs be successfully implemented in primary care. We discuss that a top-down approach utilising a combination of strategies to ensure the sustainable implementation and uptake of AMS interventions in the community is necessary to support clinicians and ensure a robust implementation of AMS in primary care. Specifically, we recommend a national accreditation standard linked to the framework of Core Elements of Outpatient Antibiotic Stewardship, supported by resources to fund the implementation of AMS interventions that are connected to quality improvement initiatives. This article debates how this can be achieved. The paper highlights that in order to support the sustainable uptake of AMS programs in primary care, an approach similar to the hospital and post-acute care settings needs to be adopted, utilising a combination of behavioural and regulatory processes supported by sustainable funding. Without these strategies the problem of inappropriate antibiotic prescribing will not be adequately addressed in the community and the successful implementation and uptake of AMS programs will remain a dream.

Antibiotic use and childhood body mass index trajectory.

BACKGROUND/OBJECTIVES: Antibiotics are commonly prescribed for children. Use of antibiotics early in life has been linked to weight gain but there are no large-scale, population-based, longitudinal studies of the full age range among mainly healthy children. SUBJECTS/METHODS: We used electronic health record data on 163 820 children aged 3-18 years and mixed effects linear regression to model associations of antibiotic orders with growth curve trajectories of annual body mass index (BMI) controlling for confounders. Models evaluated three kinds of antibiotic associations-reversible (time-varying indicator for an order in year before each BMI), persistent (time-varying cumulative orders up to BMIj) and progressive (cumulative orders up to prior BMI (BMIj-1))-and whether these varied by age. RESULTS: Among 142 824 children under care in the prior year, a reversible association was observed and this short-term BMI gain was modified by age (P<0.001); effect size peaked in mid-teen years. A persistent association was observed and this association was stronger with increasing age (P<0.001). The addition of the progressive association among children with at least three BMIs (n=79 752) revealed that higher cumulative orders were associated with progressive weight gain; this did not vary by age. Among children with an antibiotic order in the prior year and at least seven lifetime orders, antibiotics (all classes combined) were associated with an average weight gain of approximately 1.4 kg at age 15 years. When antibiotic classes were evaluated separately, the largest weight gain at 15 years was associated with macrolide use. CONCLUSIONS: We found evidence of reversible, persistent and progressive effects of antibiotic use on BMI trajectories, with different effects by age, among mainly healthy children. The results suggest that antibiotic use may influence weight gain throughout childhood and not just during the earliest years as has been the primary focus of most prior studies.

A population-based study of the epidemiology and clinical features of methicillin-resistant Staphylococcus aureus infection in Pennsylvania, 2001-2010.

No U.S. general population-based study has characterized the epidemiology and risk factors, including skin and soft tissue infection (SSTI), for healthcare-associated (HA) and community-associated (CA) methicillin-resistant Staphylococcus aureus (MRSA). We estimated the incidence of HA- and CA-MRSA and SSTI over a 9-year period using electronic health record data from the Geisinger Clinic in Pennsylvania. MRSA cases were frequency-matched to SSTI cases and controls in a nested case-control analysis. Logistic regression was used to assess risk factors, while accounting for antibiotic administration. We identified 1713 incident CA- and 1506 HA-MRSA cases and 78 216 SSTI cases. On average, from 2005 to 2009, the annual incidence of CA-MRSA increased by 34%, HA-MRSA by 7%, and SSTI by 4%. Age, season, community socioeconomic deprivation, obesity, smoking, previous SSTI, and antibiotic administration were identified as independent risk factors for CA-MRSA.

Outcomes with daptomycin versus standard therapy for osteoarticular infections associated with Staphylococcus aureus bacteraemia.

OBJECTIVES: To evaluate the clinical characteristics, treatment and outcomes of patients with osteoarticular infections (OAIs) associated with Staphylococcus aureus bacteraemia (SAB). METHODS: The clinical characteristics and outcomes for patients with OAI were described using a post hoc analysis of an open label, randomized trial comparing daptomycin with standard therapy (vancomycin or anti-staphylococcal penicillin with initial gentamicin) for the treatment of SAB. RESULTS: OAI occurred in 32 of 121 patients (21 daptomycin and 11 standard therapy) with complicated SAB (18 septic arthritis, 9 vertebral osteomyelitis and 7 others). Two patients had osteomyelitis in more than one site. Success rates seen in two groups were as follows: vertebral osteomyelitis [3/5 (60%) daptomycin versus 0/2 (0%) comparator], septic arthritis [7/11 (64%) versus 3/5 (60%)], sternal osteomyelitis [3/3 (100%) versus 1/2 (50%)] and long bone osteomyelitis [0/1 (0%) versus 1/1 (100%)]. Success rates in both treatment groups improved with surgical therapy. Creatine phosphokinase elevations to >500 IU/L occurred in one patient on daptomycin who discontinued therapy, whereas renal impairment developed in three patients on standard therapy, two of whom discontinued therapy. Two patients treated with daptomycin and one patient on vancomycin had increases in S. aureus MICs to daptomycin and vancomycin, respectively. Three patients treated with daptomycin died following completion of therapy, with mortality attributed to multiple co-morbid conditions and inadequate debridement of OAIs in these patients. No deaths were reported in the standard therapy group. CONCLUSIONS: Daptomycin may be considered an alternative to standard therapy in the treatment of patients with complicated SAB and OAI.

Staphylococcus aureus with reduced susceptibility to vancomycin.

Infections with Staphylococcus aureus with reduced susceptibility to vancomycin continue to be reported, including 2 cases caused by S. aureus isolates with full resistance to vancomycin. This review first outlines the definitions of vancomycin-intermediate S. aureus (VISA) and vancomycin-resistant S. aureus (VRSA) and risk factors for infection. Next, we describe the mechanisms of resistance and methods of laboratory detection of the organisms. Finally, we address infection control and management issues associated with isolation of VISA and VRSA.

Distribution of free and conjugated dopamine in monkey brain, peripheral tissues and cerebrospinal fluid determined by high-performance liquid chromatography.

The occurrence of free and conjugated dopamine was determined by high-performance liquid chromatography with electrochemical detection in brain areas, peripheral tissues, and CSF from rhesus monkeys. Free norepinephrine, epinephrine, and 3,4-dihydroxyphenylacetic acid were also determined in some tissues. Conjugated dopamine was found to be widely, but not homogeneously, distributed in this species. In the brain, conjugated dopamine was found to account for greater than 10% of the total dopamine present in the frontal cortex (74%), cingulate gyrus (31%), cerebellum (16%), and occipital cortex (11%). Conjugated dopamine accounted for 21% of the total dopamine in the liver, and ranged from 10 to 20% of the total in testicle, kidney and heart. In CSF from both the lateral ventricle and lumbar thecal sac, free dopamine was not reliably detected, but conjugated dopamine was found in all samples tested.