Background COVID-19 is a pandemic disease caused by a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Predictors for severe COVID-19 infection have not been well defined. Determination of risk factors for severe infection would enable identifying patients who may benefit from aggressive supportive care and early intervention. Methods We conducted a retrospective observational study of 197 patients with confirmed COVID-19 admitted to a tertiary academic medical center. Results Of 197 hospitalized patients, the mean (SD) age of the cohort was 60.6 (16.2) years, 103 (52.3%) were male, and 156 (82.1%) were black. Severe COVID-19 infection was noted in 74 (37.6%) patients, requiring intubation. Patients aged above 60 were significantly more likely to have severe infection. Patients with severe infection were significantly more likely to have diabetes, renal disease, and chronic pulmonary disease and had significantly higher white blood cell counts, lower lymphocyte counts, and increased C-reactive protein (CRP) than patients with nonsevere infection. In multivariable logistic regression analysis, risk factors for severe infection included pre-existing renal disease (odds ratio [OR], 7.4; 95% CI, 2.5–22.0), oxygen requirement at hospitalization (OR, 2.9; 95% CI, 1.3–6.7), acute renal injury (OR, 2.7; 95% CI, 1.3–5.6), and CRP on admission (OR, 1.006; 95% CI, 1.001–1.01). Race, age, and socioeconomic status were not independent predictors. Conclusions Acute or pre-existing renal disease, supplemental oxygen upon hospitalization, and admission CRP were independent predictors for the development of severe COVID-19. Every 1-unit increase in CRP increased the risk of severe disease by 0.06%.

Voriconazole use has increased since the drug's introduction in 2002, and new and unique adverse effects are emerging as patients undergo prolonged therapy. Most concerning is the increased risk of cutaneous malignancies, primarily squamous cell carcinoma (SCC); this risk is duration dependent and the associated malignancies tend to be more aggressive and multifocal. Voriconazole is also associated with phototoxicity (which may be a precursor to malignancy), periostitis, hallucinations and encephalopathy, peripheral neuropathy, alopecia, nail changes, hyponatremia, and other adverse effects. Some toxicities (neuropsychiatric and gastrointestinal including hepatic) are seen in clear association with supratherapeutic serum voriconazole levels; thus, careful monitoring of voriconazole levels is a critical component of safe drug use. Guidelines for screening for adverse effects after long-term voriconazole use may be beneficial and need to be established.

S. bovis bacteremia is a serious disease that affects elderly immunosuppressed individuals. Infection is strongly associated with colon pathology and endocarditis, regardless of the new taxonomy or clone complex. The identification of S. bovis is of paramount importance, and microbiology laboratories should differentiate its processing from that of other S. viridans.

Background: Mortality from COVID-19 has been associated with older age, black race, and comorbidities including obesity, Understanding the clinical risk factors and laboratory biomarkers associated with severe and fatal COVID-19 will allow early interventions to help mitigate adverse outcomes. Our study identified risk factors for in-hospital mortality among patients with COVID-19 infection at a tertiary care center, in Detroit, Michigan. Methods: We conducted a single-center, retrospective cohort study at a 776-bed tertiary care urban academic medical center. Adult inpatients with confirmed COVID-19 (nasopharyngeal swab testing positive by real-time reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assay) from March 8, 2020, to June 14, 2020, were included. Clinical information including the presence of comorbid conditions (according to the Charlson Weighted Index of Comorbidity (CWIC)), initial vital signs, admission laboratory markers and management data were collected. The primary outcome was in-hospital mortality. Results: Among 565 hospitalized patients, 172 patients died for a case fatality rate of 30.4%. The mean (SD) age of the cohort was 64.4 (16.2) years, and 294 (52.0%) were male. The patients who died were significantly older (mean [SD] age, 70.4 [14.1] years vs 61.7 [16.1] years; P < 0.0001), more likely to have congestive heart failure (35 [20.3%] vs 47 [12.0%]; P = 0.009), dementia (47 [27.3%] vs 48 [12.2%]; P < 0.0001), hemiplegia (18 [10.5%] vs 18 [4.8%]; P = 0.01) and a diagnosis of malignancy (16 [9.3%] vs 18 [4.6%]; P = 0.03).From multivariable analysis, factors associated with an increased odds of death were age greater than 60 years (OR = 2.2, P = 0.003), CWIC score (OR = 1.1, P = 0.023), qSOFA (OR = 1.7, P < 0.0001), WBC counts (OR = 1.1 , P = 0.002), lymphocytopenia (OR = 2.0, P = 0.003), thrombocytopenia (OR = 1.9, P = 0.019), albumin (OR = 0.6 , P = 0.014), and AST levels (OR = 2.0, P = 0.004) on admission. Conclusions: This study identified risk factor for in-hospital mortality among patients admitted with COVID-19 in a tertiary care hospital at the onset of U.S. Covid-19 pandemic. After adjusting for age, CWIC score, and laboratory data, qSOFA remained an independent predictor of mortality. Knowing these risk factors may help identify patients who would benefit from close observations and early interventions.