BACKGROUND: The epidemiological features and outcomes of hospitalized adults with coronavirus disease 2019 (COVID-19) have been described; however, the temporal progression and medical complications of disease among hospitalized patients require further study. Detailed descriptions of the natural history of COVID-19 among hospitalized patients are paramount to optimize health care resource utilization, and the detection of different clinical phenotypes may allow tailored clinical management strategies. METHODS: This was a retrospective cohort study of 305 adult patients hospitalized with COVID-19 in 8 academic and community hospitals. Patient characteristics included demographics, comorbidities, medication use, medical complications, intensive care utilization, and longitudinal vital sign and laboratory test values. We examined laboratory and vital sign trends by mortality status and length of stay. To identify clinical phenotypes, we calculated Gower's dissimilarity matrix between each patient's clinical characteristics and clustered similar patients using the partitioning around medoids algorithm. RESULTS: One phenotype of 6 identified was characterized by high mortality (49%), older age, male sex, elevated inflammatory markers, high prevalence of cardiovascular disease, and shock. Patients with this severe phenotype had significantly elevated peak C-reactive protein creatinine, D-dimer, and white blood cell count and lower minimum lymphocyte count compared with other phenotypes (P < .01, all comparisons). CONCLUSIONS: Among a cohort of hospitalized adults, we identified a severe phenotype of COVID-19 based on the characteristics of its clinical course and poor prognosis. These findings need to be validated in other cohorts, as improved understanding of clinical phenotypes and risk factors for their development could help inform prognosis and tailored clinical management for COVID-19.

BACKGROUND: Health inequities among people with HIV may be compounded by disparities in the prevalence of comorbidities associated with increased risk of severe illness from COVID-19. SETTING: Complex sample survey designed to produce nationally representative estimates of behavioral and clinical characteristics of adults with diagnosed HIV in the United States. METHODS: We estimated prevalence of having ≥1 diagnosed comorbidity associated with severe illness from COVID-19 and prevalence differences (PD) by race/ethnicity, income level, and type of health insurance. We considered PDs ≥5 percentage points to be meaningful from a public health perspective. RESULTS: An estimated 37.9% (95% CI, 36.6 to 39.2) of adults receiving HIV care had ≥1 diagnosed comorbidity associated with severe illness from COVID-19. Compared with non-Hispanic Whites, non-Hispanic Blacks or African Americans were more likely (adjusted prevalence difference [APD], 7.8 percentage points [95% CI, 5.7 to 10.0]) and non-Hispanic Asians were less likely (APD, -13.7 percentage points [95% CI, -22.3 to -5.0]) to have ≥1 diagnosed comorbidity after adjusting for age differences. There were no meaningful differences between non-Hispanic Whites and adults in other racial/ethnic groups. Those with low income, were more likely to have ≥1 diagnosed comorbidity (PD, 7.3 percentage points [95% CI, 5.1 to 9.4]). CONCLUSIONS: Among adults receiving HIV care, non-Hispanic Blacks and those with low income were more likely to have ≥1 diagnosed comorbidity associated with severe COVID-19. Building health equity among people with HIV during the COVID-19 pandemic may require reducing the impact of comorbidities in heavily affected communities.

BACKGROUND: Coronavirus disease (COVID-19) can cause severe illness and death. Predictors of poor outcome collected on hospital admission may inform clinical and public health decisions. METHODS: We conducted a retrospective observational cohort investigation of 297 adults admitted to eight academic and community hospitals in Georgia, United States, during March 2020. Using standardized medical record abstraction, we collected data on predictors including admission demographics, underlying medical conditions, outpatient antihypertensive medications, recorded symptoms, vital signs, radiographic findings, and laboratory values. We used random forest models to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CI) for predictors of invasive mechanical ventilation (IMV) and death. RESULTS: Compared with age <45 years, ages 65-74 years and ≥75 years were predictors of IMV (aOR 3.12, CI 1.47-6.60; aOR 2.79, CI 1.23-6.33) and the strongest predictors for death (aOR 12.92, CI 3.26-51.25; aOR 18.06, CI 4.43-73.63). Comorbidities associated with death (aORs from 2.4 to 3.8, p <0.05) included end-stage renal disease, coronary artery disease, and neurologic disorders, but not pulmonary disease, immunocompromise, or hypertension. Pre-hospital use vs. non-use of angiotensin receptor blockers (aOR 2.02, CI 1.03-3.96) and dihydropyridine calcium channel blockers (aOR 1.91, CI 1.03-3.55) were associated with death. CONCLUSIONS: After adjustment for patient and clinical characteristics, older age was the strongest predictor of death, exceeding comorbidities, abnormal vital signs, and laboratory test abnormalities. That coronary artery disease, but not chronic lung disease, was associated with death among hospitalized patients warrants further investigation, as do associations between certain antihypertensive medications and death.

The first reported U.S. case of coronavirus disease 2019 (COVID-19) was detected in January 2020 (1). As of June 15, 2020, approximately 2 million cases and 115,000 COVID-19-associated deaths have been reported in the United States.* Reports of U.S. patients hospitalized with SARS-CoV-2 infection (the virus that causes COVID-19) describe high proportions of older, male, and black persons (2-4). Similarly, when comparing hospitalized patients with catchment area populations or nonhospitalized COVID-19 patients, high proportions have underlying conditions, including diabetes mellitus, hypertension, obesity, cardiovascular disease, chronic kidney disease, or chronic respiratory disease (3,4). For this report, data were abstracted from the medical records of 220 hospitalized and 311 nonhospitalized patients aged >/=18 years with laboratory-confirmed COVID-19 from six acute care hospitals and associated outpatient clinics in metropolitan Atlanta, Georgia. Multivariable analyses were performed to identify patient characteristics associated with hospitalization. The following characteristics were independently associated with hospitalization: age >/=65 years (adjusted odds ratio [aOR] = 3.4), black race (aOR = 3.2), having diabetes mellitus (aOR = 3.1), lack of insurance (aOR = 2.8), male sex (aOR = 2.4), smoking (aOR = 2.3), and obesity (aOR = 1.9). Infection with SARS-CoV-2 can lead to severe outcomes, including death, and measures to protect persons from infection, such as staying at home, social distancing (5), and awareness and management of underlying conditions should be emphasized for those at highest risk for hospitalization with COVID-19. Measures that prevent the spread of infection to others, such as wearing cloth face coverings (6), should be used whenever possible to protect groups at high risk. Potential barriers to the ability to adhere to these measures need to be addressed.

BACKGROUND: Syphilis can have many clinical manifestations, including eye involvement, or "ocular syphilis." In 2015, an increase in reported cases of ocular syphilis and potential case clusters raised concern for an oculotropic strain of Treponema pallidum, the infectious agent of syphilis. Molecular typing was used to examine strains found in cases of ocular syphilis in the United States. METHODS: In 2015, after a clinical advisory issued by the Centers for Disease Control and Prevention, pretreatment clinical specimens from US patients with ocular syphilis were sent to a research laboratory for molecular analysis of T. pallidum DNA. Molecular typing was conducted on these specimens, and results were compared with samples collected from Seattle patients diagnosed with syphilis, but without ocular symptoms. RESULTS: Samples were typed from 18 patients with ocular syphilis and from 45 patients with syphilis, but without ocular symptoms. Clinical data were available for 14 ocular syphilis patients: most were men, human immunodeficiency virus-infected, and had early syphilis. At least 5 distinct strain types of Treponema pallidum were identified in these patients, and 9 types were identified in the Seattle nonocular patients. 14d/g was the most common type in both groups. An unusual strain type was detected in a small cluster of ocular syphilis patients in Seattle. CONCLUSIONS: Ocular syphilis is a serious sequela of syphilis. In this preliminary study, clear evidence of a predominant oculotropic strain causing ocular syphilis was not detected. Identification of cases and prompt treatment is critical in the management of ocular syphilis.

Case reports of Apophysomyces spp. in immunocompetent hosts have been a result of traumatic deep implantation of Apophysomyces spp. spore-contaminated soil or debris. On May 22, 2011 a tornado occurred in Joplin, MO, leaving 13 tornado victims with Apophysomyces trapeziformis infections as a result of lacerations from airborne material. We used whole genome sequence typing (WGST) for high-resolution phylogenetic SNP analysis of 17 outbreak Apophysomyces isolates and five additional temporally and spatially diverse Apophysomyces control isolates (three A. trapeziformis and two A. variabilis isolates). Whole genome SNP phylogenetic analysis revealed three clusters of genotypically related or identical A. trapeziformis isolates and multiple distinct isolates among the Joplin group; this indicated multiple genotypes from a single or multiple sources. Though no linkage between genotype and location of exposure was observed, WGST analysis determined that the Joplin isolates were more closely related to each other than to the control isolates, suggesting local population structure. Additionally, species delineation based on WGST demonstrated the need to reassess currently accepted taxonomic classifications of phylogenetic species within the genus Apophysomyces.