scholarly journals Acute Lung Injury Biomarkers in the Prediction of COVID-19 Severity: Total Thiol, Ferritin and Lactate Dehydrogenase

Antioxidants ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1221
Author(s):  
Alvaro Martinez Mesa ◽  
Eva Cabrera César ◽  
Elisa Martín-Montañez ◽  
Esther Sanchez Alvarez ◽  
Pilar Martinez Lopez ◽  
...  

Introduction: SARS-CoV-2 (COVID-19) patients who develop acute respiratory distress syndrome (ARDS) can suffer acute lung injury, or even death. Early identification of severe disease is essential in order to control COVID-19 and improve prognosis. Oxidative stress (OS) appears to play an important role in COVID-19 pathogenesis; we therefore conceived a study of the potential discriminative ability of serum biomarkers in patients with ARDS and those with mild to moderate disease (non-ARDS). Method: 60 subjects were enrolled in a single-centre, prospective cohort study of consecutively admitted patients: 29 ARDS/31 non-ARDS. Blood samples were drawn and marker levels analysed by spectrophotometry and immunoassay techniques. Results: C-reactive protein (CRP), lactate dehydrogenase (LDH), and ferritin were significantly higher in ARDS versus non-ARDS cases at hospital admission. Leukocytes, LDH, ferritin, interleukin 6 (IL-6) and tumour necrosis factor alpha (TNF-α) were also significantly elevated in ARDS compared to non-ARDS patients during the hospital stay. Total thiol (TT) was found to be significantly lower in ARDS. Conversely, D-dimer, matrix metalloproteinase-9 (MMP-9) and advanced glycosylated end products (AGE) were elevated. Leukocytes, LDH, CRP, ferritin and IL-6 were found to be significantly higher in non-survivors. However, lymphocyte, tumour necrosis factor beta (TGF-β), and TT were lower. Conclusion: In summary, our results support the potential value of TT, ferritin and LDH as prognostic biomarkers for ARDS development in COVID-19 patients, distinguishing non-ARDS from ARDS (AUCs = 0.92; 0.91; 0.89) in a fast and cost-effective manner. These oxidative/inflammatory parameters appear to play an important role in COVID-19 monitoring and can be used in the clinical management of patients.

2004 ◽  
Vol 53 (8) ◽  
pp. 727-733 ◽  
Author(s):  
Chiharu Nara ◽  
Kazuhiro Tateda ◽  
Tetsuya Matsumoto ◽  
Akira Ohara ◽  
Shuichi Miyazaki ◽  
...  

2007 ◽  
Vol 88 (6) ◽  
pp. 387-391 ◽  
Author(s):  
Dieudonnée Togbe ◽  
Silvia Schnyder-Candrian ◽  
Bruno Schnyder ◽  
Emilie Doz ◽  
Nicolas Noulin ◽  
...  

2000 ◽  
Vol 87 (7) ◽  
pp. 954-955
Author(s):  
M. A. Kuzu ◽  
C. Köksoy ◽  
I. Kuzu ◽  
H. Ergün ◽  
I. Gürhan

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