Introduction: More than 93,000 cases of coronavirus disease have been reported worldwide. We describe the epidemiology, clinical course, and virologic characteristics of the first 12 U.S. patients with COVID-19. Methods:We collected demographic, exposure, and clinical information from 12 patients confirmed by CDC during January 20-February 5, 2020 to have COVID-19. Respiratory, stool, serum, and urine specimens were submitted for SARS-CoV-2 rRT-PCR testing, virus culture, and whole genome sequencing. Results:Among the 12 patients, median age was 53 years (range: 21-68); 8 were male, 10 had traveled to China, and two were contacts of patients in this series. Commonly reported signs and symptoms at illness onset were fever (n=7) and cough (n=8). Seven patients were hospitalized with radiographic evidence of pneumonia and demonstrated clinical or laboratory signs of worsening during the second week of illness. Three were treated with the investigational antiviral remdesivir. All patients had SARS-CoV-2 RNA detected in respiratory specimens, typically for 2-3 weeks after illness onset, with lowest rRT-PCR Ct values often detected in the first week. SARS-CoV-2 RNA was detected after reported symptom resolution in seven patients. SARS-CoV-2 was cultured from respiratory specimens, and SARS-CoV-2 RNA was detected in stool from 7/10 patients. Conclusions:In 12 patients with mild to moderately severe illness, SARS-CoV-2 RNA and viable virus were detected early, and prolonged RNA detection suggests the window for diagnosis is long. Hospitalized patients showed signs of worsening in the second week after illness onset.for use under a CC0 license.

Objectives:We sought to characterize the nature and prevalence of medication order errors (MOEs) occurring at hospital admission for children with medical complexity (CMC), as well as identify the demographic and clinical risk factors for CMC experiencing MOEs.Methods: Prospective cohort study of 1233 hospitalizations for CMC from November 1, 2015, to October 31, 2016, at 2 children's hospitals. Medication order errors at admission were identified prospectively by nurse practitioners and a pharmacist through direct patient care. The primary outcome was presence of at least one MOE at hospital admission. Statistical methods used included χ 2 test, Fisher exact tests, and generalized linear mixed models.Results: Overall, 6.1% (n = 75) of hospitalizations had ≥1 MOE occurring at admission, representing 112 total identified MOEs. The most common MOEs were incorrect dose (41.1%) and omitted medication (34.8%). Baclofen and clobazam were the medications most commonly associated with MOEs. In bivariable analyses, MOEs at admission varied significantly by age, assistance with medical technology, and numbers of complex chronic conditions and medications (P < 0.05). In multivariable analysis, patients receiving baclofen had the highest adjusted odds of MOEs at admission (odds ratio, 2.2 [95% confidence interval, 1.2-3.8]).Conclusions: Results from this study suggest that MOEs are common for CMC at hospital admission. Children receiving baclofen are at significant risk of experiencing MOEs, even when orders for baclofen are correct. Several limitations of this study suggest possible undercounting of MOEs during the study period. Further investigation of medication reconciliation processes for CMC receiving multiple chronic, home medications is needed to develop effective strategies for reducing MOEs in this vulnerable population.

Our results support the concept of an infection prevention bundle in reducing AWE contamination. Anesthesia providers deliver care in a unique environment in which "clean" and "contaminated" tasks are performed rapidly and often in parallel. Linking hand hygiene to specific high-impact tasks such as administering medications, designating areas for contaminated equipment, and double gloving before airway management are simple steps that can be implemented rapidly and are compatible with timely patient care. Our study has improved awareness of infection prevention issues in our department, and has highlighted simple and achievable actions that have the potential to reduce health care-associated infections.

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