Surveillance for Disseminated Gonococcal Infections, Active Bacterial Core Surveillance (ABCs)-United States, 2015-2019.

BACKGROUND: Disseminated gonococcal infections (DGIs) are thought to be uncommon; surveillance is limited, and case reports are analyzed retrospectively or in case clusters. We describe the population-level burden of culture-confirmed DGIs through the Active Bacterial Core surveillance (ABCs) system. METHODS: During 2015-2016, retrospective surveillance was conducted among residents in 2 ABCs areas and prospectively in 3 ABCs areas during 2017-2019. A DGI case was defined as isolation of Neisseria gonorrhoeae from a normally sterile site. A case report form was completed for each case and antimicrobial susceptibility testing (AST) was performed on available isolates. RESULTS: During 2015-2019, 77 DGI cases were identified (a rate of 0.13 cases per 100 000 population) and accounted for 0.06% of all reported gonorrhea cases in the 3 surveillance areas. Most DGI cases were male (64%), non-Hispanic Black (68%), and ranged from 16 to 67 years of age; blood (55%) and joint (40%) were the most common sterile sites. Among 29 isolates with AST results during 2017-2019, all were susceptible to ceftriaxone. CONCLUSIONS: DGI is an infrequent complication of N gonorrhoeae; because it can quickly develop antimicrobial resistance, continued DGI surveillance, including monitoring trends in antimicrobial susceptibility, could help inform DGI treatment recommendations.

Cryptococcus gattii infections in multiple states outside the US Pacific Northwest.

Clonal VGII subtypes (outbreak strains) of Cryptococcus gattii have caused an outbreak in the US Pacific Northwest since 2004. Outbreak-associated infections occur equally in male and female patients (median age 56 years) and usually cause pulmonary disease in persons with underlying medical conditions. Since 2009, a total of 25 C. gattii infections, 23 (92%) caused by non-outbreak strain C. gattii, have been reported from 8 non-Pacific Northwest states. Sixteen (64%) patients were previously healthy, and 21 (84%) were male; median age was 43 years (range 15-83 years). Ten patients who provided information reported no past-year travel to areas where C. gattii is known to be endemic. Nineteen (76%) patients had central nervous system infections; 6 (24%) died. C. gattii infection in persons without exposure to known disease-endemic areas suggests possible endemicity in the United States outside the outbreak-affected region; these infections appear to differ in clinical and demographic characteristics from outbreak-associated C. gattii. Clinicians outside the outbreak-affected areas should be aware of locally acquired C. gattii infection and its varied signs and symptoms.

COVID-19 Clinical Phenotypes: Presentation and Temporal Progression of Disease in a Cohort of Hospitalized Adults in Georgia, United States.

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.

Outbreak of Burkholderia cepacia bloodstream infection at an outpatient hematology and oncology practice.

We investigated an outbreak of infection in 10 patients with blood cultures positive for B. cepacia. All patients had indwelling intravenous catheters. Though we did not identify the source of the organism, our findings support the hypothesis that cross-contamination of multidose medications through the use of the same needle and syringe was a contributing factor.