SARS-CoV-2 RNA in plasma samples of COVID-19 affected individuals: a cross-sectional proof-of-concept study
Luna Colagrossi, Maria Antonello, Silvia Renica, Marco Merli, Elisa Matarazzo, Giovanna Travi, Marta Vecchi, Jacopo Colombo, Antonio Muscatello, Giacomo Grasselli, Silvia Nerini Molteni, Vittorio Scaravilli, Emanuele Cattaneo, Diana Fanti, Chiara Vismara, Alessandra Bandera, Andrea Gori, Massimo Puoti, Valeria Cento, Claudia Alteri, Carlo Federico Perno
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Source: Crossref
Published: Feb 17, 2021
DOI: 10.1186/s12879-021-05886-2
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Abstract Background Recent studies showed that plasma SARS-CoV-2 RNA seems to be associated with worse COVID-19 outcome. However, whether specific population can be at higher risk of viremia are to date unexplored. Methods This cross-sectional proof-of-concept study included 41 SARS-CoV-2-positive adult individuals (six affected by haematological malignancies) hospitalized at two major hospital in Milan, for those demographic, clinical and laboratory data were available. SARS-CoV-2 load was quantified by ddPCR in paired plasma and respiratory samples. To assess significant differences between patients with and patients without viremia, Fisher exact test and Wilcoxon test were used for categorical and continuous variables, respectively. Results Plasma SARS-CoV-2 RNA was found in 8 patients (19.5%), with a median (IQR) value of 694 (209–1023) copies/mL. Viremic patients were characterized by an higher mortality rate (50.0% vs 9.1%; p = 0.018) respect to patients without viremia. Viremic patients were more frequently affected by haematological malignancies (62.5% vs. 3.0%; p < 0.001), and had higher viral load in respiratory samples (9,404,000 [586,060-10,000,000] vs 1560 [312–25,160] copies/mL; p = 0.002). Conclusions Even if based on a small sample population, this proof-of-concept study poses the basis for an early identification of patients at higher risk of SARS-CoV-2 viremia, and therefore likely to develop severe COVID-19, and supports the need of a quantitative viral load determination in blood and respiratory samples of haematologic patients with COVID-19 in order to predict prognosis and consequently to help their further management.
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