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RATIONALE: The influence of the lung bacterial microbiome, including potential pathogens, in patients with influenza- or COVID-19-associated pulmonary aspergillosis (IAPA or CAPA) is yet to be explored. OBJECTIVES: To explore the composition of the lung bacterial microbiome and its association with viral and fungal infection, immunity and outcome in severe influenza versus COVID-19 with or without aspergillosis. METHODS: We performed a retrospective study in mechanically ventilated influenza and COVID-19 patients with or without invasive aspergillosis in whom bronchoalveolar lavage (BAL) for bacterial culture (with or without PCR) was obtained within two weeks after ICU admission. Additionally, 16S rRNA gene sequencing data and viral and bacterial load of BAL samples from a subset of these patients, and of patients requiring non-invasive ventilation, were analyzed. We integrated 16S rRNA gene sequencing data with existing immune parameter datasets. MEASUREMENTS AND MAIN RESULTS: Potential bacterial pathogens were detected in 20% (28/142) of influenza and 37% (104/281) of COVID-19 patients, while aspergillosis was detected in 38% (54/142) of influenza and 31% (86/281) of COVID-19 patients. A significant association between bacterial pathogens in BAL and 90-day mortality was found only in influenza patients, particularly IAPA patients. COVID-19 but not influenza patients showed increased pro-inflammatory pulmonary cytokine responses to bacterial pathogens. CONCLUSIONS: Aspergillosis is more frequently detected in lungs of severe influenza patients than bacterial pathogens. Detection of bacterial pathogens associates with worse outcome in influenza patients, particularly in those with IAPA, but not in COVID-19 patients. The immunological dynamics of tripartite viral-fungal-bacterial interactions deserve further investigation. This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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BACKGROUND: Limited data are available about the predictors and outcomes associated with prolonged SARS-CoV-2 RNA shedding (VS). METHODS: A retrospective study including COVID-19 patients admitted to an Italian hospital between March 1 and July 1, 2020. Predictors of viral clearance (VC) and prolonged VS from the upper respiratory tract were assessed by Poisson regression and logistic regression analyses. The causal relation between VS and clinical outcomes was evaluated through an inverse probability weighted Cox model. RESULTS: The study included 536 subjects. The median duration of VS from symptoms onset was 18 days. The estimated 30-day probability of VC was 70.2%. Patients with comorbidities, lymphopenia at hospital admission, or moderate/severe respiratory disease had a lower chance of VC. The development of moderate/severe respiratory failure, delayed hospital admission after symptoms onset, baseline comorbidities, or D-dimer >1000ng/mL at admission independently predicted prolonged VS. The achievement of VC doubled the chance of clinical recovery and reduced the probability of death/mechanical ventilation. CONCLUSIONS: Respiratory disease severity, comorbidities, delayed hospital admission and inflammatory markers negatively predicted VC, which resulted to be associated with better clinical outcomes. These findings highlight the importance of prompt hospitalization of symptomatic patients, especially where signs of severity or comorbidities are present.
