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AI InsightConclusion: Mean platelet volume to platelet count ratio, neutrophil count/lymphocyte count, neutrophil count/albumin ratio predict mortality in critical cases of COVID-19 which will contribute to early detection and effective treatment to improve the survival of the patients.
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Abstract
Background: Mean platelet volume to platelet count ratio can be a new marker of mortality in critical COVID-19 cases in intensive care unit to retrospectively examine the factors predicting death rate in COVID-19 cases. Methods: 106 patients infected with COVID-19 in intensive care unit were enrolled in this research. The patients’ hospital records and the patient management devices were thoroughly examined. Results: The Interleukin-6, C-reactive protein, procalcitonin, leukocyte count, neutrophil count, neutrophil %, neutrophil/lymphocyte ratio, and neutrophil/albumin ratio were significantly higher among nonsurvivors (respective results are as follows: p=0.0001, p=0.004, p=0.003, p=0.049, p=0.007, p=0.009, p=0.007 and p=0.0001). While the survivors had lower widths of platelet distribution and red blood cell distribution, as well as mean platelet volume and mean platelet volume to platelet count ratio (respective results are as follows: p=0.016, p=0.03, p=0.005 and p=0.049), hemoglobin, platelet, mean corpuscular hemoglobin concentration, lymphocyte % ve monocyte % were higher (respective results are as follows: p=0.022, p=0.033, p=0.042, p=0.008 and p=0.04). In the logistic regression, five features -including high levels of C-reactive protein, procalcitonin, pro-brain natriuretic peptide, mean platelet volum to platelet count ratio, and low level of platelet were shown as mortality predictors for COVID-19 patients in intensive care unit (respective results are as follows: p=0.045, p=0.025, p=0.017, p=0.027 and p=0.041). Conclusion: Mean platelet volume to platelet count ratio, neutrophil count/lymphocyte count, neutrophil count/albumin ratio predict mortality in critical cases of COVID-19 which will contribute to early detection and effective treatment to improve the survival of the patients.