ABSTRACT
Kanpur, India, recently witnessed an outbreak of undifferentiated febrile illness among medical students. Several students developed high-grade fever with altered sensorium within 2-3 days after the index case. Surprisingly, this outbreak coincided with the death of several pigs in the vicinity. Acute necrotising encephalitis, although rare, was noted in some patients. When correlated with each other, all of these incidents were suggestive of an outbreak of H1N1.
Subject(s)
Brain Diseases , Influenza A Virus, H1N1 Subtype , Influenza, Human , Students, Medical , Humans , Animals , Swine , Influenza, Human/epidemiology , Brain Diseases/epidemiology , Disease Outbreaks , India/epidemiology , Fever/epidemiologyABSTRACT
Risk stratification of COVID-19 patients is essential for pandemic management. Changes in the cell fitness marker, hFwe-Lose, can precede the host immune response to infection, potentially making such a biomarker an earlier triage tool. Here, we evaluate whether hFwe-Lose gene expression can outperform conventional methods in predicting outcomes (e.g., death and hospitalization) in COVID-19 patients. We performed a post-mortem examination of infected lung tissue in deceased COVID-19 patients to determine hFwe-Lose's biological role in acute lung injury. We then performed an observational study (n = 283) to evaluate whether hFwe-Lose expression (in nasopharyngeal samples) could accurately predict hospitalization or death in COVID-19 patients. In COVID-19 patients with acute lung injury, hFwe-Lose is highly expressed in the lower respiratory tract and is co-localized to areas of cell death. In patients presenting in the early phase of COVID-19 illness, hFwe-Lose expression accurately predicts subsequent hospitalization or death with positive predictive values of 87.8-100% and a negative predictive value of 64.1-93.2%. hFwe-Lose outperforms conventional inflammatory biomarkers and patient age and comorbidities, with an area under the receiver operating characteristic curve (AUROC) 0.93-0.97 in predicting hospitalization/death. Specifically, this is significantly higher than the prognostic value of combining biomarkers (serum ferritin, D-dimer, C-reactive protein, and neutrophil-lymphocyte ratio), patient age and comorbidities (AUROC of 0.67-0.92). The cell fitness marker, hFwe-Lose, accurately predicts outcomes in COVID-19 patients. This finding demonstrates how tissue fitness pathways dictate the response to infection and disease and their utility in managing the current COVID-19 pandemic.