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Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19

Introduction A cytokine storm is an important cause of morbidity and mortality in patients with coronavirus disease 2019 (COVID-19). The objective of the study was to determine the prognostic significance of pro-inflammatory cytokines with the overall final outcome of patients with COVID-19. Methods...

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Autores principales: Parimoo, Aditi, Biswas, Ashutosh, Baitha, Upendra, Gupta, Gaurav, Pandey, Shivam, Ranjan, Piyush, Gupta, Vandana, Barman Roy, Debarchan, Prakash, Bindoo, Wig, Naveet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629097/
https://www.ncbi.nlm.nih.gov/pubmed/34868744
http://dx.doi.org/10.7759/cureus.19080
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author Parimoo, Aditi
Biswas, Ashutosh
Baitha, Upendra
Gupta, Gaurav
Pandey, Shivam
Ranjan, Piyush
Gupta, Vandana
Barman Roy, Debarchan
Prakash, Bindoo
Wig, Naveet
author_facet Parimoo, Aditi
Biswas, Ashutosh
Baitha, Upendra
Gupta, Gaurav
Pandey, Shivam
Ranjan, Piyush
Gupta, Vandana
Barman Roy, Debarchan
Prakash, Bindoo
Wig, Naveet
author_sort Parimoo, Aditi
collection PubMed
description Introduction A cytokine storm is an important cause of morbidity and mortality in patients with coronavirus disease 2019 (COVID-19). The objective of the study was to determine the prognostic significance of pro-inflammatory cytokines with the overall final outcome of patients with COVID-19. Methods We conducted a retrospective study of 142 patients admitted with COVID-19 in the Department of Medicine at All India Institute of Medical Sciences, New Delhi, from May 2021 to June 2021. We obtained their demographic, clinical, and biochemical characteristics at baseline and 48-72 hours prior to the terminal event (survival/death). The data were analyzed to determine the prognostic significance of these markers on the final outcome. Results Higher levels of inflammatory markers were associated with a worse final outcome (ferritin p-value <0.001, c-reactive protein (CRP) p-value <0.001, interleukin 6 (IL-6) p-value 0.007, procalcitonin p-value 0.005, and lactic acid p-value 0.004). Optimal probability cut-offs for these markers for predicting mortality were: ferritin: 963 ng/mL (sensitivity - 67.35%, specificity - 67.50%), CRP: 66.3 mg/L (sensitivity - 78.43%, specificity - 74.12%), IL-6: 46.2 pg/mL (sensitivity - 59.26%, specificity - 59.57%), procalcitonin: 0.3ng/mL (sensitivity - 65.38 %, specificity - 66.67%), lactic acid: 1.5 mg/dL (sensitivity - 59.26%, specificity - 58.57%). Multivariate logistic regression analysis was done, which showed that pre-terminal event CRP was associated with a statistically significant higher risk of mortality (Unadjusted OR 18.89, Adjusted OR 1.008, p=0.002, 95% CI 6.815 - 47.541). Conclusion Inflammatory markers have a prognostic significance in patients with COVID-19, with higher levels being associated with worse outcomes.
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spelling pubmed-86290972021-12-03 Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19 Parimoo, Aditi Biswas, Ashutosh Baitha, Upendra Gupta, Gaurav Pandey, Shivam Ranjan, Piyush Gupta, Vandana Barman Roy, Debarchan Prakash, Bindoo Wig, Naveet Cureus Internal Medicine Introduction A cytokine storm is an important cause of morbidity and mortality in patients with coronavirus disease 2019 (COVID-19). The objective of the study was to determine the prognostic significance of pro-inflammatory cytokines with the overall final outcome of patients with COVID-19. Methods We conducted a retrospective study of 142 patients admitted with COVID-19 in the Department of Medicine at All India Institute of Medical Sciences, New Delhi, from May 2021 to June 2021. We obtained their demographic, clinical, and biochemical characteristics at baseline and 48-72 hours prior to the terminal event (survival/death). The data were analyzed to determine the prognostic significance of these markers on the final outcome. Results Higher levels of inflammatory markers were associated with a worse final outcome (ferritin p-value <0.001, c-reactive protein (CRP) p-value <0.001, interleukin 6 (IL-6) p-value 0.007, procalcitonin p-value 0.005, and lactic acid p-value 0.004). Optimal probability cut-offs for these markers for predicting mortality were: ferritin: 963 ng/mL (sensitivity - 67.35%, specificity - 67.50%), CRP: 66.3 mg/L (sensitivity - 78.43%, specificity - 74.12%), IL-6: 46.2 pg/mL (sensitivity - 59.26%, specificity - 59.57%), procalcitonin: 0.3ng/mL (sensitivity - 65.38 %, specificity - 66.67%), lactic acid: 1.5 mg/dL (sensitivity - 59.26%, specificity - 58.57%). Multivariate logistic regression analysis was done, which showed that pre-terminal event CRP was associated with a statistically significant higher risk of mortality (Unadjusted OR 18.89, Adjusted OR 1.008, p=0.002, 95% CI 6.815 - 47.541). Conclusion Inflammatory markers have a prognostic significance in patients with COVID-19, with higher levels being associated with worse outcomes. Cureus 2021-10-27 /pmc/articles/PMC8629097/ /pubmed/34868744 http://dx.doi.org/10.7759/cureus.19080 Text en Copyright © 2021, Parimoo et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Internal Medicine
Parimoo, Aditi
Biswas, Ashutosh
Baitha, Upendra
Gupta, Gaurav
Pandey, Shivam
Ranjan, Piyush
Gupta, Vandana
Barman Roy, Debarchan
Prakash, Bindoo
Wig, Naveet
Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19
title Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19
title_full Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19
title_fullStr Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19
title_full_unstemmed Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19
title_short Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19
title_sort dynamics of inflammatory markers in predicting mortality in covid-19
topic Internal Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629097/
https://www.ncbi.nlm.nih.gov/pubmed/34868744
http://dx.doi.org/10.7759/cureus.19080
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