Article: SARS-CoV-2 Viral Load in the Pulmonary Compartment of Critically Ill COVID-19 Patients Correlates with Viral Serum Load and Fatal Outcomes
Viruses. 2022 June 14, v. 14, no. 6
2022
Abstract: While SARS-CoV-2 detection in sputum and swabs from the upper respiratory tract has been used as a diagnostic tool, virus quantification showed poor correlation to disease outcome and thus, poor prognostic value. Although the pulmonary compartment ... ...
Abstract | While SARS-CoV-2 detection in sputum and swabs from the upper respiratory tract has been used as a diagnostic tool, virus quantification showed poor correlation to disease outcome and thus, poor prognostic value. Although the pulmonary compartment represents a relevant site for viral load analysis, limited data exploring the lower respiratory tract is available, and its association to clinical outcomes is relatively unknown. Using bronchoalveolar lavage (BAL) and serum samples, we quantified SARS-CoV-2 copy numbers in the pulmonary and systemic compartments of critically ill patients admitted to the intensive care unit of a COVID-19 referral hospital in Croatia during the second and third pandemic waves. Clinical data, including 30-day survival after ICU admission, were included. We found that elevated SARS-CoV-2 copy numbers in both BAL and serum samples were associated with fatal outcomes. Remarkably, the highest and earliest viral loads after initiation of mechanical ventilation support were increased in the non-survival group. Our results imply that viral loads in the lungs contribute to COVID-19 disease severity, while blood titers correlate with lung virus titers, albeit at a lower level. Moreover, they suggest that BAL SARS-CoV-2 copy number quantification at ICU admission may provide a predictive parameter of clinical COVID-19 outcomes. |
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Keywords | COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; blood serum ; diagnostic techniques ; hospitals ; lungs ; pandemic ; viral load ; viruses ; Croatia |
Language | English |
Dates of publication | 2022-0614 |
Publishing place | Multidisciplinary Digital Publishing Institute |
Document type | Article |
ZDB-ID | 2516098-9 |
ISSN | 1999-4915 |
ISSN | 1999-4915 |
DOI | 10.3390/v14061292 |
Database | NAL-Catalogue (AGRICOLA) |
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