In a hospital affiliated long term care facility, we found an opportunity to interrupt a potential outbreak of COVID-19 using a point prevalence testing containment strategy and applying infection prevention and control best practices. Three serial point prevalence studies were conducted on all residents and employees in 14-day intervals and percent positive was used as marker for effective infection control efforts. A multidisciplinary strike team from acute care was used to disseminate infection control education and support to long term care partners. These results highlight the need for swift identification and action in congregant high risk settings to prevent rapid spread and large scale outbreaks of COVID-19.

Micrococcus species are typically considered contaminants from skin and mucous membranes. However, especially in severely immunocompromised patients, a blood culture with Micrococcus could be the cause of a significant infection. We report a 65-year-old female with non-Hodgkin’s lymphoma who developed native valve infective endocarditis due to Micrococcus luteus. There is no defined therapeutic regimen for infective endocarditis due to Micrococcus luteus; however, our patient was successfully treated for six weeks with vancomycin and rifampin. To our knowledge, there is only one other case report of native valve endocarditis due to Micrococcus luteus.

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The novel coronavirus disease 2019 (COVID-19) continues to be a major public health concern. The aim of this study was to describe the presenting characteristics, epidemiology and predictors of outcomes among confirmed COVID-19 cases seen at a large community healthcare system which serves the epicenter and diverse region of Florida. We conducted a retrospective analysis of individuals with lab-confirmed SARS-CoV-2 infection who were seen, from March 2, 2020 to May 31, 2020, at Memorial Healthcare System in South Florida. Data was extracted from a COVID-19 registry of patients with lab-confirmed SARS-CoV-2 infection. Univariate and backward stepwise multivariate logistic regression models were used to determine predictors of key study outcomes. There were a total of 1692 confirmed COVID-19 patients included in this study. Increasing age was found to be a significant predictor of hospitalization, 30-day readmission and death. Having a temperature of 38 °C or more and increasing comorbidity score were also associated with an increased risk of hospitalization. Significant predictors of ICU admission included having a saturated oxygen level less than 90%, hypertension, dementia, rheumatologic disease, having a respiratory rate greater than 24 breaths per minute. Being of Hispanic ethnicity and immunosuppressant utilization greatly increased the risk of 30-day readmission. Having an oxygen saturation less than 90% and an underlying neurological disorder were associated with an increased likelihood of death. Results show that a patient’s demographic, underlying condition and vitals at triage may increase or reduce their risk of hospitalization, ICU admission, 30-day readmission or death.