Cargando…
Inflammatory Markers as Early Predictors of Disease Severity in COVID-19 Patients Admitted to Intensive Care Units: A Retrospective Observational Analysis
BACKGROUND: In pandemic situations, it is essential that the limited resources are used judiciously to achieve most benefits. Prediction of the disease severity at the earliest will help in better allocation, thus, positively affecting prognosis and treatment. AIM AND OBJECTIVE: To investigate patie...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Jaypee Brothers Medical Publishers
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067502/ https://www.ncbi.nlm.nih.gov/pubmed/35656048 http://dx.doi.org/10.5005/jp-journals-10071-24171 |
_version_ | 1784700019315572736 |
---|---|
author | Gupta, Divya Jain, Apoorv Chauhan, Munish Dewan, Sandeep |
author_facet | Gupta, Divya Jain, Apoorv Chauhan, Munish Dewan, Sandeep |
author_sort | Gupta, Divya |
collection | PubMed |
description | BACKGROUND: In pandemic situations, it is essential that the limited resources are used judiciously to achieve most benefits. Prediction of the disease severity at the earliest will help in better allocation, thus, positively affecting prognosis and treatment. AIM AND OBJECTIVE: To investigate patient characteristics and specific biomarkers as possible early predictors of disease severity of SARS-COV-2 infection. MATERIALS AND METHODS: Retrospective single-centric observational study conducted at 70-bedded intensive care unit of tertiary care hospital at Haryana, India. 100 consecutive RT-PCR positive coronavirus disease-2019 (COVID-19) adult patients. Demographics, acute physiology and chronic health evaluation II (Apache-II) score, and Inflammatory markers were compared with respect to oxygenation defect (PaO(2)/FiO(2) ratio: <300 or ≥300 mm Hg), need of invasive ventilation, ICU length of stay and 28-day mortality. FINDINGS: Mean age was significantly more in lower PF ratio group (58.01 ± 15.33 vs 50.97 ± 13.78, p = 0.023) whereas sex ratio was comparable among patients in two groups. Significantly, higher APACHE-II score (p ≤0.001) and presence of hypertension (43.54% vs 23.68%; p = 0·045) in low PF ratio group along with higher C-reactive protein (171.78 ± 124.45 vs 101.52 ± 88.70), IL-6 (173.51 vs 53.18) and ferritin (1677.60 ± 2271.13 vs 643.54 ± 718.68) levels. Procalcitonin, lactate dehydrogenase, and creatine phosphokinase (CPK) levels were not significant. INTERPRETATION: Age and APACHE II score and among laboratory parameters CRP, ferritin, and IL-6 levels were significantly higher in low PF ratio group, patients requiring invasive ventilation and in mortality group. Use of this triad (CRP, ferritin, and IL-6 levels) at admission may predict the disease severity early in the course. Addition of APACHE-II may further improve the accuracy of the score. HOW TO CITE THIS ARTICLE: Gupta D, Jain A, Chauhan M, Dewan S. Inflammatory Markers as Early Predictors of Disease Severity in COVID-19 Patients Admitted to Intensive Care Units: A Retrospective Observational Analysis. Indian J Crit Care Med 2022;26(4):482–486. |
format | Online Article Text |
id | pubmed-9067502 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Jaypee Brothers Medical Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-90675022022-06-01 Inflammatory Markers as Early Predictors of Disease Severity in COVID-19 Patients Admitted to Intensive Care Units: A Retrospective Observational Analysis Gupta, Divya Jain, Apoorv Chauhan, Munish Dewan, Sandeep Indian J Crit Care Med Original Article BACKGROUND: In pandemic situations, it is essential that the limited resources are used judiciously to achieve most benefits. Prediction of the disease severity at the earliest will help in better allocation, thus, positively affecting prognosis and treatment. AIM AND OBJECTIVE: To investigate patient characteristics and specific biomarkers as possible early predictors of disease severity of SARS-COV-2 infection. MATERIALS AND METHODS: Retrospective single-centric observational study conducted at 70-bedded intensive care unit of tertiary care hospital at Haryana, India. 100 consecutive RT-PCR positive coronavirus disease-2019 (COVID-19) adult patients. Demographics, acute physiology and chronic health evaluation II (Apache-II) score, and Inflammatory markers were compared with respect to oxygenation defect (PaO(2)/FiO(2) ratio: <300 or ≥300 mm Hg), need of invasive ventilation, ICU length of stay and 28-day mortality. FINDINGS: Mean age was significantly more in lower PF ratio group (58.01 ± 15.33 vs 50.97 ± 13.78, p = 0.023) whereas sex ratio was comparable among patients in two groups. Significantly, higher APACHE-II score (p ≤0.001) and presence of hypertension (43.54% vs 23.68%; p = 0·045) in low PF ratio group along with higher C-reactive protein (171.78 ± 124.45 vs 101.52 ± 88.70), IL-6 (173.51 vs 53.18) and ferritin (1677.60 ± 2271.13 vs 643.54 ± 718.68) levels. Procalcitonin, lactate dehydrogenase, and creatine phosphokinase (CPK) levels were not significant. INTERPRETATION: Age and APACHE II score and among laboratory parameters CRP, ferritin, and IL-6 levels were significantly higher in low PF ratio group, patients requiring invasive ventilation and in mortality group. Use of this triad (CRP, ferritin, and IL-6 levels) at admission may predict the disease severity early in the course. Addition of APACHE-II may further improve the accuracy of the score. HOW TO CITE THIS ARTICLE: Gupta D, Jain A, Chauhan M, Dewan S. Inflammatory Markers as Early Predictors of Disease Severity in COVID-19 Patients Admitted to Intensive Care Units: A Retrospective Observational Analysis. Indian J Crit Care Med 2022;26(4):482–486. Jaypee Brothers Medical Publishers 2022 /pmc/articles/PMC9067502/ /pubmed/35656048 http://dx.doi.org/10.5005/jp-journals-10071-24171 Text en Copyright © 2022; Jaypee Brothers Medical Publishers (P) Ltd. https://creativecommons.org/licenses/by-nc/4.0/© The Author(s). 2022 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and non-commercial reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Original Article Gupta, Divya Jain, Apoorv Chauhan, Munish Dewan, Sandeep Inflammatory Markers as Early Predictors of Disease Severity in COVID-19 Patients Admitted to Intensive Care Units: A Retrospective Observational Analysis |
title | Inflammatory Markers as Early Predictors of Disease Severity in COVID-19 Patients Admitted to Intensive Care Units: A Retrospective Observational Analysis |
title_full | Inflammatory Markers as Early Predictors of Disease Severity in COVID-19 Patients Admitted to Intensive Care Units: A Retrospective Observational Analysis |
title_fullStr | Inflammatory Markers as Early Predictors of Disease Severity in COVID-19 Patients Admitted to Intensive Care Units: A Retrospective Observational Analysis |
title_full_unstemmed | Inflammatory Markers as Early Predictors of Disease Severity in COVID-19 Patients Admitted to Intensive Care Units: A Retrospective Observational Analysis |
title_short | Inflammatory Markers as Early Predictors of Disease Severity in COVID-19 Patients Admitted to Intensive Care Units: A Retrospective Observational Analysis |
title_sort | inflammatory markers as early predictors of disease severity in covid-19 patients admitted to intensive care units: a retrospective observational analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067502/ https://www.ncbi.nlm.nih.gov/pubmed/35656048 http://dx.doi.org/10.5005/jp-journals-10071-24171 |
work_keys_str_mv | AT guptadivya inflammatorymarkersasearlypredictorsofdiseaseseverityincovid19patientsadmittedtointensivecareunitsaretrospectiveobservationalanalysis AT jainapoorv inflammatorymarkersasearlypredictorsofdiseaseseverityincovid19patientsadmittedtointensivecareunitsaretrospectiveobservationalanalysis AT chauhanmunish inflammatorymarkersasearlypredictorsofdiseaseseverityincovid19patientsadmittedtointensivecareunitsaretrospectiveobservationalanalysis AT dewansandeep inflammatorymarkersasearlypredictorsofdiseaseseverityincovid19patientsadmittedtointensivecareunitsaretrospectiveobservationalanalysis |