A Unique Triad of Invasive Sinusitis, Brain Abscess with Focal Cerebritis, and COVID-19.

BACKGROUND We present a case of invasive sinusitis with rhinocerebral infection in a patient who had mild symptoms of COVID-19 infection and did not receive any immunosuppressive therapies. CASE REPORT A 49-year-old man with a history of uncontrolled diabetes presented to the hospital with multiple generalized tonic clonic seizures. He had recently been diagnosed with mild COVID-19 and was treated at home with supportive care only. He was found to have cerebritis in the right frontal lobe along with right fronto-ethmoid sinusitis. He underwent extensive testing with nasal endoscopy with gram stain and culture, cryptococcal studies, 1-3-Beta-D glucan, blood cultures, fungal CSF studies, Lyme disease, HIV, Fungitell assay, and galactomannan studies, which were all negative. He was started on i.v. antibacterial therapy with cefepime, vancomycin, and metronidazole along with amphotericin B. After 2 weeks, his repeat imaging revealed progression of cerebritis along with new early abscess. Given these findings, his antibiotics were changed to meropenem and the amphotericin B dose was increased. He was recommended debridement and sinus surgery but refused. During the course of treatment, he developed acute kidney injury and was switched to Posaconazole. Unfortunately, the patient decided to leave against medical advice 6 weeks into admission. He was advised to continue Posaconazole and levofloxacin but he could only afford levofloxacin. He was then recommended long-term levofloxacin. He has since recovered, with resolution of cerebritis noted in follow-up imaging 1 year later. CONCLUSIONS Our patient had mild COVID-19 infection and presented with secondary infective complications, which are usually associated with an immunocompromised state, despite receiving no immunosuppressives. It is imperative that all clinicians treating COVID-19 be watchful for fungal or bacterial co-infections in patients with active SARS-CoV-2 infection, even if the presenting symptoms are mild, particularly if other risk factors are present.

Association of poor housing conditions with COVID-19 incidence and mortality across US counties.

OBJECTIVE: Poor housing conditions have been linked with worse health outcomes and infectious disease spread. Since the relationship of poor housing conditions with incidence and mortality of COVID-19 is unknown, we investigated the association between poor housing condition and COVID-19 incidence and mortality in US counties. METHODS: We conducted cross-sectional analysis of county-level data from the US Centers for Disease Control, US Census Bureau and John Hopkins Coronavirus Resource Center for 3135 US counties. The exposure of interest was percentage of households with poor housing conditions (one or greater of: overcrowding, high housing cost, incomplete kitchen facilities, or incomplete plumbing facilities). Outcomes were incidence rate ratios (IRR) and mortality rate ratios (MRR) of COVID-19 across US counties through 4/21/2020. Multilevel generalized linear modeling (with total population of each county as a denominator) was utilized to estimate relative risk of incidence and mortality related to poor housing conditions with adjustment for population density and county characteristics including demographics, income, education, prevalence of medical comorbidities, access to healthcare insurance and emergency rooms, and state-level COVID-19 test density. We report incidence rate ratios (IRRs) and mortality ratios (MRRs) for a 5% increase in prevalence in households with poor housing conditions. RESULTS: Across 3135 US counties, the mean percentage of households with poor housing conditions was 14.2% (range 2.7% to 60.2%). On April 21st, the mean (SD) number of cases and deaths of COVID-19 were 255.68 (2877.03) cases and 13.90 (272.22) deaths per county, respectively. In the adjusted models standardized by county population, with each 5% increase in percent households with poor housing conditions, there was a 50% higher risk of COVID-19 incidence (IRR 1.50, 95% CI: 1.38-1.62) and a 42% higher risk of COVID-19 mortality (MRR 1.42, 95% CI: 1.25-1.61). Results remained similar using earlier timepoints (3/31/2020 and 4/10/2020). CONCLUSIONS AND RELEVANCE: Counties with a higher percentage of households with poor housing had higher incidence of, and mortality associated with, COVID-19. These findings suggest targeted health policies to support individuals living in poor housing conditions should be considered in further efforts to mitigate adverse outcomes associated with COVID-19.

Regional Variation in the Association of Poverty and Heart Failure Mortality in the 3135 Counties of the United States.

Background There is significant geographical variation in heart failure (HF) mortality across the United States. County socioeconomic factors that influence these outcomes are unknown. We studied the association between county socioeconomic factors and HF mortality and compared it with coronary heart disease (CHD) mortality. Methods and Results This is a cross-sectional analysis of socioeconomic factors and mortality in HF and CHD across 3135 US counties from 2010 to 2015. County-level poverty, education, income, unemployment, health insurance status, and cause-specific mortality rates were collected from the Centers for Disease Control and Prevention and US Census Bureau databases. Poverty had the strongest correlation with both HF and CHD mortality, disproportionately higher for HF (r=0.48) than CHD (r=0.24). HF mortality increased by 5.2 deaths/100 000 for each percentage increase in county poverty prevalence in a frequency-weighted, demographic-adjusted, multivariate regression model. The greatest attenuation in the poverty regression coefficient (66.4%) was seen after adjustment for prevalence of diabetes mellitus and obesity. Subgroup analysis by census region showed that this relationship was the strongest in the South and weakest in the Northeast (6.1 versus 1.4 deaths/100 000 per 1% increase in county poverty in a demographics-adjusted model). Conclusions County poverty is the strongest socioeconomic factor associated with HF and CHD mortality, an association that is stronger with HF than with CHD and varied by census region. Over half of the association was explained by differences in the prevalence of diabetes mellitus and obesity across the counties. Health policies targeting improvement in these risk factors may address and possibly minimize health disparities caused by socioeconomic factors.