Antibiotic Stewardship in Outpatient Telemedicine: Adapting Centers for Disease Control and Prevention Core Elements to Optimize Antibiotic Use.

The rapid expansion of telemedicine has highlighted challenges and opportunities to improve antibiotic use and effectively adapt antibiotic stewardship best practices to outpatient telemedicine settings. Antibiotic stewardship integration into telemedicine is essential to optimize antibiotic prescribing for patients and ensure health care quality. We performed a narrative review of published literature on antibiotic prescribing and stewardship in outpatient telemedicine to inform the adaptation of the Core Elements of Outpatient Antibiotic Stewardship framework to outpatient telemedicine settings. Our narrative review suggests that in-person antibiotic stewardship interventions can be adapted to outpatient telemedicine settings. We present considerations for applying the Core Elements of Outpatient Antibiotic Stewardship to outpatient telemedicine which builds upon growing evidence describing care delivery and quality improvement in this setting. Additional applied implementation research is necessary to inform the application of effective, sustainable, and equitable antibiotic stewardship interventions across the spectrum of outpatient telemedicine.

Using machine learning to examine drivers of inappropriate outpatient antibiotic prescribing in acute respiratory illnesses.

Using a machine-learning model, we examined drivers of antibiotic prescribing for antibiotic-inappropriate acute respiratory illnesses in a large US claims data set. Antibiotics were prescribed in 11% of the 42 million visits in our sample. The model identified outpatient setting type, patient age mix, and state as top drivers of prescribing.

Urgent-care antibiotic prescribing: An exploratory analysis to evaluate health inequities.

Healthcare disparities and inequities exist in a variety of environments and manifest in diagnostic and therapeutic measures. In this commentary, we highlight our experience examining our organization's urgent care respiratory encounter antibiotic prescribing practices. We identified differences in prescribing based on several individual characteristics including patient age, race, ethnicity, preferred language, and patient and/or clinician gender. Our approach can serve as an electronic health record (EHR)-based methodology for disparity and inequity audits in other systems and for other conditions.

Outpatient Antifungal Prescribing Patterns in the United States, 2018.

Background: Widespread inappropriate antibiotic prescribing is a major driver of resistance. Little is known about antifungal prescribing practices in the United States, which is concerning given emerging resistance in fungi, particularly to azole antifungals. Objective: We analyzed outpatient U.S. antifungal prescribing data to inform stewardship efforts. Design: Descriptive analysis of outpatient antifungal prescriptions dispensed during 2018 in the IQVIA Xponent database. Methods: Prescriptions were summarized by drug, sex, age, geography, and healthcare provider specialty. Census denominators were used to calculate prescribing rates among demographic groups. Results: Healthcare providers prescribed 22.4 million antifungal courses in 2018 (68 prescriptions per 1,000 persons). Fluconazole was the most common drug (75%), followed by terbinafine (11%) and nystatin (10%). Prescription rates were higher among females vs. males (110 vs. 25 per 1,000) and adults vs. children (82 vs. 27 per 1,000). Prescription rates were highest in the South (81 per 1,000 persons) and lowest in the West (48 per 1,000 persons). Nurse practitioners and family practitioners prescribed the most antifungals (43% of all prescriptions), but the highest prescribing rates were among obstetrician-gynecologists (84 per provider). Conclusions: Prescribing of antifungal drugs in the outpatient setting was common, with enough courses dispensed for one in every 15 U.S. residents in 2018. Fluconazole use patterns suggest vulvovaginal candidiasis as a common indication. Regional prescribing differences could reflect inappropriate use or variations in disease burden. Further study of higher antifungal use in the South could help target antifungal stewardship practices.

Amoxicillin Versus Other Antibiotic Agents for the Treatment of Acute Otitis Media in Children.

OBJECTIVES: The objective of the study was to compare the antibiotic treatment failure and recurrence rates between antibiotic agents (amoxicillin, amoxicillin-clavulanate, cefdinir, and azithromycin) for children with uncomplicated acute otitis media (AOM). STUDY DESIGN: We completed a retrospective cohort study of children 6 months-12 years of age with uncomplicated AOM identified in a nationwide claims database. The primary exposure was the antibiotic agent, and the primary outcomes were treatment failure and recurrence. Logistic regression was used to estimate ORs, and analyses were stratified by primary exposure, patient age, and antibiotic duration. RESULTS: Among the 1 051 007 children included in the analysis, 56.6% were prescribed amoxicillin, 13.5% were prescribed amoxicillin-clavulanate, 20.6% were prescribed cefdinir, and 9.3% were prescribed azithromycin. Most prescriptions (93%) were for 10 days, and 98% were filled within 1 day of the medical encounter. Treatment failure and recurrence occurred in 2.2% (95% CI: 2.1, 2.2) and 3.3% (3.2, 3.3) of children, respectively. Combined failure and recurrence rates were low for all agents including amoxicillin (1.7%; 1.7, 1.8), amoxicillin-clavulanate (11.3%; 11.1, 11.5), cefdinir (10.0%; 9.8, 10.1), and azithromycin (9.8%; 9.6, 10.0). CONCLUSIONS: Despite microbiologic changes in AOM etiology, treatment failure and recurrence were uncommon for all antibiotic agents and were lower for amoxicillin than for other agents. These findings support the continued use of amoxicillin as a first-line agent for AOM when antibiotics are prescribed.

Association between antibiotic prescribing and visit duration among patients with respiratory tract infections.

Time constraints have been suggested as a potential driver of antibiotic overuse for acute respiratory tract infections. In this cross-sectional analysis of national data from visits to offices and emergency departments, we identified no statistically significant association between antibiotic prescribing and the duration of visits for acute respiratory tract infections.

Changes in outpatient antibiotic prescribing for acute respiratory illnesses, 2011 to 2018.

Objectives: To describe acute respiratory illnesses (ARI) visits and antibiotic prescriptions in 2011 and 2018 across outpatient settings to evaluate progress in reducing unnecessary antibiotic prescribing for ARIs. Design: Cross-sectional study. Setting and patients: Outpatient medical and pharmacy claims captured in the IBM MarketScan commercial database, a national convenience sample of privately insured individuals aged <65 years. Methods: We calculated the annual number of ARI visits and visits with oral antibiotic prescriptions per 1,000 enrollees overall and by age category, sex, and setting in 2011 and 2018. We compared these and calculated prevalence rate ratios (PRRs). We adapted existing tiered-diagnosis methodology for International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes. Results: In our study population, there were 829 ARI visits per 1,000 enrollees in 2011 compared with 760 ARI visits per 1,000 enrollees in 2018. In 2011, 39.3% of ARI visits were associated with ≥1 oral antibiotic prescription versus 36.2% in 2018. In 2018 compared with 2011, overall ARI visits decreased 8% (PRR, 0.92; 99.99% confidence interval [CI], 0.92-0.92), whereas visits with antibiotic prescriptions decreased 16% (PRR, 0.84; 99.99% CI, 0.84-0.85). Visits for antibiotic-inappropriate ARIs decreased by 9% (PRR, 0.91; 99.99% CI, 0.91-0.92), and visits with antibiotic prescriptions for these conditions decreased by 32% (PRR, 0.68; 99.99% CI, 0.67-0.68) from 2011 to 2018. Conclusions: Both the rate of antibiotic prescriptions per 1,000 enrollees and the percentage of visits with antibiotic prescriptions decreased modestly from 2011 to 2018 in our study population. These decreases were greatest for antibiotic-inappropriate ARIs; however, additional reductions in inappropriate antibiotic prescribing are needed.

Burden of Candidemia in the United States, 2017.

BACKGROUND: Candidemia is a common healthcare-associated bloodstream infection with high morbidity and mortality. There are no current estimates of candidemia burden in the United States (US). METHODS: In 2017, the Centers for Disease Control and Prevention conducted active population-based surveillance for candidemia through the Emerging Infections Program in 45 counties in 9 states encompassing approximately 17 million persons (5% of the national population). Laboratories serving the catchment area population reported all blood cultures with Candida, and a standard case definition was applied to identify cases that occurred in surveillance area residents. Burden of cases and mortality were estimated by extrapolating surveillance area cases to national numbers using 2017 national census data. RESULTS: We identified 1226 candidemia cases across 9 surveillance sites in 2017. Based on this, we estimated that 22 660 (95% confidence interval [CI], 20 210-25 110) cases of candidemia occurred in the US in 2017. Overall estimated incidence was 7.0 cases per 100 000 persons, with highest rates in adults aged ≥ 65 years (20.1/100 000), males (7.9/100 000), and those of black race (12.3/100 000). An estimated 3380 (95% CI, 1318-5442) deaths occurred within 7 days of a positive Candida blood culture, and 5628 (95% CI, 2465-8791) deaths occurred during the hospitalization with candidemia. CONCLUSIONS: Our analysis highlights the substantial burden of candidemia in the US. Because candidemia is only one form of invasive candidiasis, the true burden of invasive infections due to Candida is higher. Ongoing surveillance can support future burden estimates and help assess the impact of prevention interventions.

Severe Pulmonary Disease Associated with Electronic-Cigarette-Product Use - Interim Guidance.

On September 6, 2019, this report was posted as an MMWR Early Release on the MMWR website (https://www.cdc.gov/mmwr). As of August 27, 2019, 215 possible cases of severe pulmonary disease associated with the use of electronic cigarette (e-cigarette) products (e.g., devices, liquids, refill pods, and cartridges) had been reported to CDC by 25 state health departments. E-cigarettes are devices that produce an aerosol by heating a liquid containing various chemicals, including nicotine, flavorings, and other additives (e.g., propellants, solvents, and oils). Users inhale the aerosol, including any additives, into their lungs. Aerosols produced by e-cigarettes can contain harmful or potentially harmful substances, including heavy metals such as lead, volatile organic compounds, ultrafine particles, cancer-causing chemicals, or other agents such as chemicals used for cleaning the device (1). E-cigarettes also can be used to deliver tetrahydrocannabinol (THC), the principal psychoactive component of cannabis, or other drugs; for example, "dabbing" involves superheating substances that contain high concentrations of THC and other plant compounds (e.g., cannabidiol) with the intent of inhaling the aerosol. E-cigarette users could potentially add other substances to the devices. This report summarizes available information and provides interim case definitions and guidance for reporting possible cases of severe pulmonary disease. The guidance in this report reflects data available as of September 6, 2019; guidance will be updated as additional information becomes available.

Candida Bloodstream Infections Among Persons Who Inject Drugs - Denver Metropolitan Area, Colorado, 2017-2018.

Candidemia, a bloodstream infection caused by Candida species, is typically considered a health care-associated infection, with known risk factors including the presence of a central venous catheter, receipt of total parenteral nutrition or broad-spectrum antibiotics, recent abdominal surgery, admission to an intensive care unit, and prolonged hospitalization (1,2). Injection drug use (IDU) is not a common risk factor for candidemia; however, in the context of the ongoing opioid epidemic and corresponding IDU increases, IDU has been reported as an increasingly common condition associated with candidemia (3) and methicillin-resistant Staphylococcus aureus bacteremia (4). Little is known about the epidemiology of candidemia among persons who inject drugs. The Colorado Department of Public Health and Environment (CDPHE) conducts population-based surveillance for candidemia in the five-county Denver metropolitan area, encompassing 2.7 million persons, through CDC's Emerging Infections Program (EIP). As part of candidemia surveillance, CDPHE collected demographic, clinical, and IDU behavior information for persons with Candida-positive blood cultures during May 2017-August 2018. Among 203 candidemia cases reported, 23 (11%) occurred in 22 patients with a history of IDU in the year preceding their candidemia episode. Ten (43%) of the 23 cases were considered community-onset infections, and four (17%) cases were considered community-onset infections with recent health care exposures. Seven (32%) of the 22 patients had disseminated candidiasis with end-organ dysfunctions; four (18%) died during their hospitalization. In-hospital IDU was reported among six (27%) patients, revealing that IDU can be a risk factor in the hospital setting as well as in the community. In addition to community interventions, opportunities to intervene during health care encounters to decrease IDU and unsafe injection practices might prevent infections, including candidemia, among persons who inject drugs.

Multiple introductions and subsequent transmission of multidrug-resistant Candida auris in the USA: a molecular epidemiological survey.

BACKGROUND: Transmission of multidrug-resistant Candida auris infection has been reported in the USA. To better understand its emergence and transmission dynamics and to guide clinical and public health responses, we did a molecular epidemiological investigation of C auris cases in the USA. METHODS: In this molecular epidemiological survey, we used whole-genome sequencing to assess the genetic similarity between isolates collected from patients in ten US states (California, Connecticut, Florida, Illinois, Indiana, Maryland, Massachusetts, New Jersey, New York, and Oklahoma) and those identified in several other countries (Colombia, India, Japan, Pakistan, South Africa, South Korea, and Venezuela). We worked with state health departments, who provided us with isolates for sequencing. These isolates of C auris were collected during the normal course of clinical care (clinical cases) or as part of contact investigations or point prevalence surveys (screening cases). We integrated data from standardised case report forms and contact investigations, including travel history and epidemiological links (ie, patients that had shared a room or ward with a patient with C auris). Genetic diversity of C auris within a patient, a facility, and a state were evaluated by pairwise differences in single-nucleotide polymorphisms (SNPs). FINDINGS: From May 11, 2013, to Aug 31, 2017, isolates that corresponded to 133 cases (73 clinical cases and 60 screening cases) were collected. Of 73 clinical cases, 66 (90%) cases involved isolates related to south Asian isolates, five (7%) cases were related to South American isolates, one (1%) case to African isolates, and one (1%) case to east Asian isolates. Most (60 [82%]) clinical cases were identified in New York and New Jersey; these isolates, although related to south Asian isolates, were genetically distinct. Genomic data corroborated five (7%) clinical cases in which patients probably acquired C auris through health-care exposures abroad. Among clinical and screening cases, the genetic diversity of C auris isolates within a person was similar to that within a facility during an outbreak (median SNP difference three SNPs, range 0-12). INTERPRETATION: Isolates of C auris in the USA were genetically related to those from four global regions, suggesting that C auris was introduced into the USA several times. The five travel-related cases are examples of how introductions can occur. Genetic diversity among isolates from the same patients, health-care facilities, and states indicates that there is local and ongoing transmission. FUNDING: US Centers for Disease Control and Prevention.