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Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission

OBJECTIVE: We intend to identify differences in the clinicodemographic and laboratory findings of COVID-19 patients to predict disease severity and outcome on admission. METHODS: This single-centred retrospective study retrieved laboratory and clinical data from 350 COVID-19 patients on admission, r...

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Autores principales: Tummala, Anusha, Ramesh, Venkat, Balakrishna, Nagalla, Koyyada, Rajeswari, Singh, Anula Divyash, Patnam, Sreekanth, Satish Kumar, M., Varahala, Sneha, Manda, Sasidhar V., Narreddy, Suneetha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027459/
https://www.ncbi.nlm.nih.gov/pubmed/36950250
http://dx.doi.org/10.1155/2022/5644956
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author Tummala, Anusha
Ramesh, Venkat
Balakrishna, Nagalla
Koyyada, Rajeswari
Singh, Anula Divyash
Patnam, Sreekanth
Satish Kumar, M.
Varahala, Sneha
Manda, Sasidhar V.
Narreddy, Suneetha
author_facet Tummala, Anusha
Ramesh, Venkat
Balakrishna, Nagalla
Koyyada, Rajeswari
Singh, Anula Divyash
Patnam, Sreekanth
Satish Kumar, M.
Varahala, Sneha
Manda, Sasidhar V.
Narreddy, Suneetha
author_sort Tummala, Anusha
collection PubMed
description OBJECTIVE: We intend to identify differences in the clinicodemographic and laboratory findings of COVID-19 patients to predict disease severity and outcome on admission. METHODS: This single-centred retrospective study retrieved laboratory and clinical data from 350 COVID-19 patients on admission, represented as frequency tables. A multivariate regression model was used to assess the statistically significant association between the explanatory variables and COVID-19 infection outcomes, where adjusted odds ratio (AOR), p value, and 95% CI were used for testing significance. RESULTS: Among the 350 COVID-19 patients studied, there was a significant increase in the WBC count, neutrophils, aggregate index of systemic inflammation (AISI), neutrophil-to-lymphocyte ratio (dNLR), neutrophil-to-lymphocyte and platelet ratio (NLPR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), D-dimer, interleukin-6 (IL-6), ferritin, lactate dehydrogenase (LDH), prothrombin time (PT), glucose, urea, urea nitrogen, creatinine, alanine phosphatase (ALP), and aspartate aminotransferase (AST) and a significant decrease in lymphocytes, eosinophils, total protein, albumin, prealbumin serum, and albumin/globulin (A/G) ratio in the severe group when compared with the mild and moderate groups. However, after adjusting their age, gender, and comorbidities, WBC count (adjusted odds ratio (AOR) = 6.888, 95% CI = 1.590-29.839, p = 0.010), neutrophils (AOR = 5.912, 95% CI = 2.131-16.402, p = 0.001), and urea (AOR = 4.843, 95% CI = 1.988-11.755, p = 0.001) were strongly associated with disease severity. Interpretation and Conclusion. On admission, WBC count, neutrophils, and urea, with their cut of values, can identify at-risk COVID-19 patients who could develop severe COVID-19.
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spelling pubmed-100274592023-03-21 Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission Tummala, Anusha Ramesh, Venkat Balakrishna, Nagalla Koyyada, Rajeswari Singh, Anula Divyash Patnam, Sreekanth Satish Kumar, M. Varahala, Sneha Manda, Sasidhar V. Narreddy, Suneetha Biomed Res Int Research Article OBJECTIVE: We intend to identify differences in the clinicodemographic and laboratory findings of COVID-19 patients to predict disease severity and outcome on admission. METHODS: This single-centred retrospective study retrieved laboratory and clinical data from 350 COVID-19 patients on admission, represented as frequency tables. A multivariate regression model was used to assess the statistically significant association between the explanatory variables and COVID-19 infection outcomes, where adjusted odds ratio (AOR), p value, and 95% CI were used for testing significance. RESULTS: Among the 350 COVID-19 patients studied, there was a significant increase in the WBC count, neutrophils, aggregate index of systemic inflammation (AISI), neutrophil-to-lymphocyte ratio (dNLR), neutrophil-to-lymphocyte and platelet ratio (NLPR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), D-dimer, interleukin-6 (IL-6), ferritin, lactate dehydrogenase (LDH), prothrombin time (PT), glucose, urea, urea nitrogen, creatinine, alanine phosphatase (ALP), and aspartate aminotransferase (AST) and a significant decrease in lymphocytes, eosinophils, total protein, albumin, prealbumin serum, and albumin/globulin (A/G) ratio in the severe group when compared with the mild and moderate groups. However, after adjusting their age, gender, and comorbidities, WBC count (adjusted odds ratio (AOR) = 6.888, 95% CI = 1.590-29.839, p = 0.010), neutrophils (AOR = 5.912, 95% CI = 2.131-16.402, p = 0.001), and urea (AOR = 4.843, 95% CI = 1.988-11.755, p = 0.001) were strongly associated with disease severity. Interpretation and Conclusion. On admission, WBC count, neutrophils, and urea, with their cut of values, can identify at-risk COVID-19 patients who could develop severe COVID-19. Hindawi 2022-11-07 /pmc/articles/PMC10027459/ /pubmed/36950250 http://dx.doi.org/10.1155/2022/5644956 Text en Copyright © 2022 Anusha Tummala et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tummala, Anusha
Ramesh, Venkat
Balakrishna, Nagalla
Koyyada, Rajeswari
Singh, Anula Divyash
Patnam, Sreekanth
Satish Kumar, M.
Varahala, Sneha
Manda, Sasidhar V.
Narreddy, Suneetha
Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission
title Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission
title_full Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission
title_fullStr Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission
title_full_unstemmed Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission
title_short Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission
title_sort diagnostic values of laboratory biomarkers in predicting a severe course of covid-19 on hospital admission
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027459/
https://www.ncbi.nlm.nih.gov/pubmed/36950250
http://dx.doi.org/10.1155/2022/5644956
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