Comparative study of the findings of the first complete blood cell count in determining the outcome of patients diagnosed with covid-19; A cross-sectional study
Comparative study of the findings of the first complete blood cell count in determining the outcome of patients diagnosed with covid-19; A cross-sectional study
Mohammad Vaseie,1Maryam Amini,2,*Mohammad Mehdi Tavasoli,3
1. Department of Emergency medicine, Faculty of medicine, Tehran university of medical sciences, Tehran, Iran 2. Depatment of infectious diseases and Tropical medicine, Faculty of medicine, Shahed University, Tehran, Iran
Introduction: Background: Coronavirus 19 has become a global health threat that has affected high-density areas, such as military barracks. There is an urgent need for an accurate and robust risk assessment tool to assess the prognosis of the disease, which is also easy and cost-effective to implement.
Aims: The aim of this study was to compare the findings of the first complete blood count in discharged patients with Coronavirus disease with the death.
Methods: Methods: This retrospective cross-sectional study was performed on 213 patients with a definitive diagnosis of Coronavirus disease. The findings of the first Complete blood count (CBC) were compared to estimate the survival of discharged and deceased patients. Data were analyzed by using Medcalc.20.013 software.
Results: Results: The frequency of death was 35.2%. The increase in white blood cell had a poor predictor of death (ROC = 0.66). The decrease in hemoglobin in predicting death lacked Diagnostic Estimates (ROC = 0.58). Platelet augmentation was not effective. Mean corpuscular volume increase had poor detection Estimates (ROC = 0.60). Increase in red blood cell distribution width had poor detection Estimates (ROC = 0.66). The increase in neutrophils was good in predicting death (ROC = 0.70). The decrease in lymphocytes was good in predicting death (ROC = 0.70). The increase in Neutrophil to Lymphocyte Ratio was good in predicting death (ROC = 0.70). The increase in Platelet to Lymphocyte Ratio was poor Diagnostic Estimates in predicting death (ROC = 0.67). The increase in Systemic Immunity Inflammation index in predicting death had poor diagnostic Estimates (ROC = 0.68).
Conclusion: Conclusion: The results of the present study showed that demographic factors have no effect on survival prediction. Based on the first findings of CBC test, three factors predicting death risk prediction (Neutrophil increase, Lymphocyte decrease and Neutrophil-Lymphocyte Ratio increase) with good diagnostic Estimates. This indicates that this diagnostic test is accurate and inexpensive in predicting the deterioration and survival of Coronavirus disease patients.