Summary
Prothrombin activity %: Prothrombin is a blood clotting factor. Increased prothrombin activity in COVID-19 patients indicates a higher risk of blood clots. C-reactive protein (CRP): CRP is a marker of inflammation. Elevated CRP indicates an increased inflammatory response, which is common in COVID-19 patients, especially those with severe disease. White blood cell count: Both low and high white blood cell counts have been observed in COVID-19 patients. A decreasing white blood cell count can indicate worsening disease severity. Lymphocyte count: Low lymphocyte counts are common in COVID-19 patients and can indicate a poor prognosis. Lymphopenia may be due to lymphocyte destruction or redistribution. Neutrophil-to-lymphocyte ratio (NLR): An elevated NLR is associated with severe COVID-19 disease and risk of mortality. The NLR can indicate the body's inflammatory response and immune status. Monocyte-to-lymphocyte ratio (MLR): An increased MLR is associated with disease severity and risk of mortality in COVID-19 patients. Like the NLR, the MLR provides information about inflammation and immune status. D-dimer: Elevated D-dimer levels indicate blood clot formation and are associated with severe COVID-19 disease. D-dimer levels can help identify patients at risk of thrombosis and thromboembolism. Eosinophil count: Both low and normal eosinophil counts have been reported in COVID-19 patients. A decreasing eosinophil count over the course of the disease may indicate worsening severity. Eosinopenia can result from reduced production or increased destruction of eosinophils. Platelet count: Both low and normal platelet counts have been observed in COVID-19 patients. A decreasing platelet count may indicate disease progression or risk of thrombosis. Thrombocytopenia can arise due to increased consumption or destruction of platelets. Red blood cell count: Both low and normal red blood cell counts have been reported in COVID-19 patients. A decreasing red blood cell count and hemoglobin level may signal worsening disease severity.
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105 out of 207 patients tested positive for COVID-19 in a study analyzing blood test results.
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D Ferrari, A Motta, M Strollo, G Banfi… - Clinical chemistry and …, 2020 - degruyter.com
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In the COVID-19 positive group, most blood parameters were within normal range except for prothrombin activity and CRP. Blood test parameters in COVID-19 patients differed significantly from other viral and bacterial infections.
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M Kukar, G Gunčar, T Vovko, S Podnar, P Černelč… - Scientific reports, 2021 - nature.com
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The COVID-19 outbreak has caused a critical shortage of blood donations. Blood service departments must communicate effectively, take preventive measures, and prioritize blood collection to minimize the impact.
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X Cai, M Ren, F Chen, L Li, H Lei, X Wang - Blood Transfusion, 2020 - ncbi.nlm.nih.gov
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A two-step procedure was used for model selection, training, and evaluation. The models were trained on a training set and evaluated on a hold-out test set using various measures. The best models were then validated using a combined dataset.
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F Cabitza, A Campagner, D Ferrari… - Clinical Chemistry and …, 2021 - degruyter.com
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XS An, XY Li, FT Shang, SF Yang… - Annals of Clinical & …, 2020 - Assoc Clin Scientists
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Monitoring routine blood parameters can help evaluate the prognosis and treatment effectiveness of severe COVID-19 patients. A study observed improvements in a patient's condition over 26 days, with some blood parameters recovering earlier than others.
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G Lu, J Wang - Clinica Chimica Acta, 2020 - Elsevier
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Blood type A had a lower risk of intubation and death compared to type O, while blood type AB had an increased risk. Blood type B had inconsistent effects, increasing the risk of intubation but decreasing the risk of death compared to type O. Rh-negative blood types were consistently associated with protection against SARS-CoV-2 infection, intubation, and death.
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M Zietz, J Zucker, NP Tatonetti - Nature communications, 2020 - nature.com
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Blood test using machine learning helps identify COVID-19 with 95.95% accuracy in 2 sentences of up to 100 characters each.
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J Wu, P Zhang, L Zhang, W Meng, J Li, C Tong, Y Li… - MedRxiv, 2020 - medrxiv.org
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Abnormal blood test results in COVID-19 patients can help predict severe cases. Eosinophil count delay may indicate a poor outcome.
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S Sun, X Cai, H Wang, G He, Y Lin, B Lu, C Chen… - Clinica chimica acta, 2020 - Elsevier
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The geographic distribution of blood types may play a role in the spread of epidemics. An epidemiological model incorporating blood types is compared to real-world infection data. Individuals in the RhD infection system can infect others in the same group, but not vice versa.
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M Miotto, L Di Rienzo, G Gosti, E Milanetti, G Ruocco - Plos one, 2021 - journals.plos.org
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