Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1784607137406648320 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8629097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT parimooaditi dynamicsofinflammatorymarkersinpredictingmortalityincovid19 AT biswasashutosh dynamicsofinflammatorymarkersinpredictingmortalityincovid19 AT baithaupendra dynamicsofinflammatorymarkersinpredictingmortalityincovid19 AT guptagaurav dynamicsofinflammatorymarkersinpredictingmortalityincovid19 AT pandeyshivam dynamicsofinflammatorymarkersinpredictingmortalityincovid19 AT ranjanpiyush dynamicsofinflammatorymarkersinpredictingmortalityincovid19 AT guptavandana dynamicsofinflammatorymarkersinpredictingmortalityincovid19 AT barmanroydebarchan dynamicsofinflammatorymarkersinpredictingmortalityincovid19 AT prakashbindoo dynamicsofinflammatorymarkersinpredictingmortalityincovid19 AT wignaveet dynamicsofinflammatorymarkersinpredictingmortalityincovid19 |