SARS-CoV-2 Viral Load in the Pulmonary Compartment of Critically Ill COVID-19 Patients Correlates with Viral Serum Load and Fatal Outcomes.
Mario Alberto Ynga-DurandHenrike MaaßMarko MiloševićFran KrstanovićMarina Pribanić MatešićStipan JonjićAlen ProtićIlija BrizićAlan ŠustićLuka Čičin ŠainPublished in: Viruses (2022)
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.
Keyphrases
- sars cov
- respiratory tract
- mechanical ventilation
- copy number
- respiratory syndrome coronavirus
- intensive care unit
- pulmonary hypertension
- emergency department
- mitochondrial dna
- acute respiratory distress syndrome
- healthcare
- genome wide
- coronavirus disease
- electronic health record
- cystic fibrosis
- big data
- dna methylation
- gene expression
- type diabetes
- adipose tissue
- insulin resistance
- pulmonary tuberculosis
- real time pcr