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Hematology profile analysis in coronavirus disease 2019 (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 stu...

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Autores principales: Setio, Felisia, Muhadi, Darwati, Nurulita, Asvin, Arif, Mansyur, Djaharuddin, Irawaty, Seweng, Arifin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197310/
https://www.ncbi.nlm.nih.gov/pubmed/37363430
http://dx.doi.org/10.1515/almed-2022-0053
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author Setio, Felisia
Muhadi, Darwati
Nurulita, Asvin
Arif, Mansyur
Djaharuddin, Irawaty
Seweng, Arifin
author_facet Setio, Felisia
Muhadi, Darwati
Nurulita, Asvin
Arif, Mansyur
Djaharuddin, Irawaty
Seweng, Arifin
author_sort Setio, Felisia
collection PubMed
description 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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spelling pubmed-101973102023-06-23 Hematology profile analysis in coronavirus disease 2019 (COVID-19) patients Setio, Felisia Muhadi, Darwati Nurulita, Asvin Arif, Mansyur Djaharuddin, Irawaty Seweng, Arifin Adv Lab Med Article 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. De Gruyter 2022-10-13 /pmc/articles/PMC10197310/ /pubmed/37363430 http://dx.doi.org/10.1515/almed-2022-0053 Text en © 2022 the author(s), published by De Gruyter, Berlin/Boston https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License.
spellingShingle Article
Setio, Felisia
Muhadi, Darwati
Nurulita, Asvin
Arif, Mansyur
Djaharuddin, Irawaty
Seweng, Arifin
Hematology profile analysis in coronavirus disease 2019 (COVID-19) patients
title Hematology profile analysis in coronavirus disease 2019 (COVID-19) patients
title_full Hematology profile analysis in coronavirus disease 2019 (COVID-19) patients
title_fullStr Hematology profile analysis in coronavirus disease 2019 (COVID-19) patients
title_full_unstemmed Hematology profile analysis in coronavirus disease 2019 (COVID-19) patients
title_short Hematology profile analysis in coronavirus disease 2019 (COVID-19) patients
title_sort hematology profile analysis in coronavirus disease 2019 (covid-19) patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197310/
https://www.ncbi.nlm.nih.gov/pubmed/37363430
http://dx.doi.org/10.1515/almed-2022-0053
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