A New Hematological Prognostic Index For Covid-19 Severity
Autor: | Basil F. Jameel, Mohammed Ghanim, Khalil Kareem, Mohammad Abdulrazaq, Faiq I. Gorial, Ali H. Hayyawi, Hassan M Abbas, Abdulmajeed A. Hammadi, Ali M. Jawad, Adnan Mohammed Al Jubouri, Chasib L. Ali, Muhammed Waheeb Salman, Ali A. Al-Gharawi, Kawthar F. Nasser, G. S. Ahmed, Jawad I Al-shareef |
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Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Index (economics) Coronavirus disease 2019 (COVID-19) medicine.diagnostic_test business.industry Cross-sectional study Lymphocyte Complete blood count Disease Gastroenterology chemistry.chemical_compound medicine.anatomical_structure chemistry Internal medicine Lactate dehydrogenase medicine Stage (cooking) business |
DOI: | 10.1101/2021.02.11.21251285 |
Popis: | Backgroundsevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or Covid-19 is a nationwide public health emergency with significant impact on human life.ObjectiveTo develop a new simple hematological prognostic index for Covid-19 severity state.Patients and methodsThis observational cross sectional study was conducted on 250 patients with Covid-19 disease. Age, gender, and severity of Covid −19 were recorded. Complete blood count and lactate dehydrogenase were measured.New index: COVID-19 severity-Iraqi-index = CSI index to predict COVID-19 severity.CSI index is monocyte/lymphocyte absolute counts multiplied by LDH (lactate dehydrogenase)/upper normal reference laboratory range of LDH value.ResultsMean age of patients was 50.4 + 15.1 years. Majority of patients were Males 148 (59.2%)..Most of patients were in stage 2 and 3 (> 94%). There was a significant difference between means of White Blood Cells, lymphocytes and Monocytes among the different stages of the disease (P = 0.0001, 0.036, 0.012). There was a significant moderate correlation between the prognostic index and the stage of the disease (r=0.41, p=0.0001).ConclusionsCSI index is a new simple predictor of clinical outcome in patients with covid-19 during early stage of the disease. |
Databáze: | OpenAIRE |
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