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Published on: December 19, 2020
Hematology profile analysis in coronavirus disease 2019 (COVID-19) patients
Felisia Setio1, Darwati Muhadi1,2, Asvin Nurulita1,2
1Hasanuddin University, Makassar, Indonesia.
Insights
Hematological parameters can predict COVID-19 severity. Eosinophil count may indicate infectivity in patients. This study analyzed hematology profiles in relation to COVID-19 severity and Ct values in Makassar, Indonesia.
Area of Science:
- Hematology
- Infectious Diseases
- COVID-19 Research
Background:
- Hematological parameters serve as potential markers for assessing COVID-19 severity.
- Comorbidities are recognized risk factors contributing to severe COVID-19 outcomes.
- Previous studies have not explored hematology profiles in relation to severity, comorbidity, and viral load (Ct value) in Makassar, Indonesia.
Purpose of the Study:
- To investigate differences in hematological profiles based on COVID-19 severity.
- To examine hematological profile variations concerning patient comorbidities.
- To determine the correlation between hematological parameters and the Ct value of SARS-CoV-2.
Main Methods:
- Retrospective, cross-sectional study design.
- Inclusion of confirmed COVID-19 patients hospitalized between June and August 2020.
- Data collection from Hospital Information System, including hematology profile, Ct value, comorbidity, and severity.
Main Results:
- Severe COVID-19 patients exhibited significantly higher White Blood Cells (WBC), Red Cell Distribution Width (RDW), neutrophil, monocyte counts, and Neutrophil Lymphocyte Ratio (NLR) compared to mild-moderate cases (p<0.05).
- Severe cases also showed significantly lower Red Blood Cells (RBC), hemoglobin, hematocrit, lymphocyte, and thrombocyte counts (p<0.05).
- Hematological profiles did not significantly differ based on comorbidity and showed no significant correlation with Ct value, except for eosinophil count (r=0.161; p=0.018).
Conclusions:
- Hematological profiles can serve as predictive indicators for COVID-19 severity.
- Eosinophil count may be a potential predictor of infectivity in COVID-19 patients.
Objectives:
Some hematological parameters were reported as markers to assess severity of COVID-19 patients. Comorbidities were risk factors for severe COVID-19. Differences in hematology profile based on severity and comorbidity, and correlation between hematology profile and Ct value were never studied at Makassar, Indonesia. The aim of this study were to know the differences of hematology profile based on severity and comorbidity, and the correlation between hematology profile and Ct value in COVID-19 patients.
Methods:
This study was retrospective, cross-sectional of confirmed COVID-19 patients who had been hospitalized at Dr. Wahidin Sudirohusodo hospital, Makassar, since June to August 2020. Hematology profile, Ct value, comorbidity, and severity of COVID-19 patients were obtained from Hospital Information System Data.
Results:
From 217 patients, subjects were 102 (47%) male dan 115 (53%) female, 127 mild-moderate patients (58.5%) and 90 severe patients (41.5%), 143 patients (65%) without comorbidity, 74 patients (35%) with comorbidity. White blood cells (WBC), red cell distribution width (RDW), neutrophil and monocyte count, and neutrophil lymphocyte ratio (NLR) were significantly higher in severe patients than mild-moderate patients (p<0.05), besides RBC, hemoglobin, hematocrit, lymphocyte and thrombocyte count were significantly lower in severe patients than mild-moderate patients (p<0.05). Hematology profile was not different significantly based on comorbidity and was not correlated significantly with Ct value, except eosinophil count (r=0.161; p=0.018).
Conclusions:
We suggest that hematology profile could predict the severity of COVID-19 patients. Moreover, eosinophil count could be considered to predict the infectivity of patient with COVID-19.
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