Cell Reports Medicine · 2022 · 38 citations · 12 references
Veterinary MedicineInfectious DiseasesClinical EpidemiologyInflammationPulmonary Function TestingAcute Lung InjuryAcute Respiratory Distress SyndromePrognostic AssessmentPulmonary AssessmentPulmonary Function AssessmentRespiratory DiseaseAcute Inflammatory ResponseC-reactive Protein TestingClinical Score EvaluationEarly Warning Scoring SystemsPneumonia Severity AssessmentRespiratory Failure PrognosisRespiratory Failure PrognosticationScope
Most patients infected with SARS-CoV-2 (COVID-19) experience mild, non-specific symptoms, but many develop severe symptoms associated with an excessive inflammatory response. Elevated plasma concentrations of soluble urokinase plasminogen activator receptor (suPAR) provide early warning of progression to severe respiratory failure (SRF) or death, but access to suPAR testing may be limited. The Severe COvid Prediction Estimate (SCOPE) score, derived from circulating concentrations of C-reactive protein, D- dimers, interleukin-6, and ferritin among patients not receiving non-invasive or invasive mechanical ventilation during the SAVE-MORE study, offers predictive accuracy for progression to SRF or death within 14 days comparable to that of a suPAR concentration of ≥6 ng/mL (area under receiver operator characteristic curve 0.81 for both). The SCOPE score is validated in two similar independent cohorts. A SCOPE score of 6 or more is an alternative to suPAR for predicting progression to SRF or death within 14 days of hospital admission for pneumonia, and it can be used to guide treatment decisions.
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Evdoxia Kyriazopoulou, Haralampos Milionis, Symeon Metallidis et al. · Nature Medicine · 2021 · 539 citations · Full text
Pierre‐Louis Tharaux, Gilles Pialoux, Arthur Pavot et al. · The Lancet Respiratory Medicine · 2021 · 296 citations · Full text
An open label trial of anakinra to prevent respiratory failure in COVID-19
Evdoxia Kyriazopoulou, Periklis Panagopoulos, Symeon Metallidis et al. · eLife · 2021 · 192 citations · Full text