Association and predictive value of biomarkers with severe outcomes in hospitalized patients with SARS-CoV-2 infection

生物标志物与SARS-CoV-2感染住院患者严重结局的关联性和预测价值

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Abstract

This study analyzed the levels at admission of biomarkers for their association with and ability to predict risk of severe outcomes, including admission to the ICU, need for invasive mechanical ventilation (IMV), need for vasopressor use (VU), and in-hospital mortality (IHM) in 700 patients hospitalized with COVID-19. Biomarker data split by outcomes was compared using Mann-Whitney U tests; frequencies of biomarker values were compared using Chi-square tests and multivariable logistic regression analysis was performed to look at the impact of biomarkers by outcome. Patients that suffered IHM were more likely to have reduced platelet numbers and high blood urea nitrogen (BUN) levels among patients admitted to the ICU. Risk factors for mortality were related to hyper-coagulability (low platelet count and increased D-dimer) and decreased respiratory (PaO(2)/FiO(2) ratio) and kidney function (BUN). Association with risks of other severe outcomes were as follows: ICU with hyper-inflammation (IL-6) and decreased respiratory function; IMV with low platelet count, abnormal neutrophil-lymphocyte ratio with reduced respiratory function, VU with inflammatory markers (IL-6), and low platelet count with respiratory function. Our studies confirmed the association of biomarkers of hematological, inflammatory, coagulation, pulmonary and kidney functions with disease severity. Whether these biomarkers have any mechanistic or causal role in the disease progress requires further investigation.

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