ABSTRACT
IMPORTANCE: COVID-19 can cause serious illness requiring multimodal treatment and is associated with secondary infections. Studies have suggested an increased risk of fungal infections, including candidemia following severe COVID-19 though understanding of risk factors and clinical outcomes remains unclear. OBJECTIVES: To describe clinical characteristics, outcomes and risk factors of candidemia among patients hospitalized with severe COVID-19. DESIGN, SETTING, AND PARTICIPANTS: A multicenter, case-control study of patients with severe COVID-19 was conducted to evaluate risk factors and clinical outcomes in patients who developed candidemia between August 2020 and August 2021. MAIN OUTCOMES AND MEASURES: Chart review evaluating institutional and patient demographics, clinical and mycological characteristics, concomitant interventions (antibiotics, immunosuppressive agents, parenteral nutrition, degree of oxygen support, mechanical ventilation, surgery), treatment regimens, and outcomes (length of stay and discharge disposition) RESULTS: A total of 275 patients were enrolled in the study, including 91 patients with severe COVID-19 and subsequent candidemia and 184 with severe COVID-19 without candidemia. Most patients received antibiotics prior to candidemia episode (93%), while approximately one-quarter of patients received biologic for COVID-19. In-hospital mortality was significantly higher in the cases compared with the controls (68% vs 40%;p < 0.01). Candida albicans was the most common (53%), followed by C. glabrata (19%). Use of central lines, biologic, and paralytics were independent risk factors for candidemia. CONCLUSIONS AND RELEVANCE: Candidemia following COVID-19 infection is a concern that requires clinical consideration and patient monitoring. Risk factors for the development of candidemia in the setting of COVID-19 infection are largely consistent with traditional risk factors for candidemia in hospitalized patients.
ABSTRACT
Monitoring the burden and spread of infection with the new coronavirus SARS-CoV-2, whether within small communities or in large geographical settings, is of paramount importance for public health purposes. Serology, which detects the host antibody response to the infection, is the most appropriate tool for this task, since virus-derived markers are most reliably detected during the acute phase of infection. Here we show that our ELISA protocol, which is based on antibody binding to the Receptor Binding Domain (RBD) of the S1 subunit of the viral Spike protein expressed as a novel fusion protein, detects antibody responses to SARS-CoV-2 infection and vaccination. We also show that our ELISA is accurate and versatile. It compares favorably with commercial assays widely used in clinical practice to determine exposure to SARS-CoV-2. Moreover, our protocol accommodates use of various blood- and non-blood-derived biospecimens, such as breast milk, as well as dried blood obtained with microsampling cartridges that are appropriate for remote collection. As a result, our RBD-based ELISA protocols are well suited for seroepidemiology and other large-scale studies requiring parsimonious sample collection outside of healthcare settings.