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Evaluation of Immature Granulocyte Count as the Earliest Biomarker for Sepsis
BACKGROUND: Diagnosing sepsis early is important for its successful management. Various biomarkers are being used currently, but mostly they are either expensive or not readily available. This study aims to evaluate usefulness of automated immature granulocyte count (IG#) and immature granulocyte pe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Jaypee Brothers Medical Publishers
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857719/ https://www.ncbi.nlm.nih.gov/pubmed/35712744 http://dx.doi.org/10.5005/jp-journals-10071-23920 |
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author | Bhansaly, Prabhav Mehta, Sudhir Sharma, Nidhi Gupta, Esha Mehta, Shaurya Gupta, Sweta |
author_facet | Bhansaly, Prabhav Mehta, Sudhir Sharma, Nidhi Gupta, Esha Mehta, Shaurya Gupta, Sweta |
author_sort | Bhansaly, Prabhav |
collection | PubMed |
description | BACKGROUND: Diagnosing sepsis early is important for its successful management. Various biomarkers are being used currently, but mostly they are either expensive or not readily available. This study aims to evaluate usefulness of automated immature granulocyte count (IG#) and immature granulocyte percentage (IG%) as early diagnostic markers of sepsis and compares it to other established predictive markers. PATIENTS AND METHODS: In this prospective observational study, 137 eligible, critically ill, nonseptic intensive care unit patients were analyzed for automated IG#, IG%, serum procalcitonin (PCT), and blood lactate (Lac), daily for 7 days after recruitment. Patients were followed for the development of sepsis, defined by the new Sepsis-3 criteria. The study was divided into four time periods of 24 hours each with respect to the day of developing organ dysfunction. Using area under receiver operator characteristic and diagnostic odds ratio (DOR) methods, the best biomarker for the prediction of sepsis in each time period was calculated. RESULTS: IG# and IG% were the earliest biomarkers to have a significant discriminating value with area under the curve of 0.81 and 0.82, respectively, as early as 24 hours before clinical sepsis is diagnosed by Sepsis-3 criteria. Both IG# and IG% have a high DOR of 34.91 and 18.11, respectively, when compared to others like PCT and Lac having a DOR of 27.06 and 4.78, respectively. CONCLUSION: IG# and IG% are easily available, rapid, and inexpensive tools to differentiate between septic and nonseptic patients with high specificity and sensitivity. It is the earliest biomarker to show a significant rise in patients developing sepsis. HOW TO CITE THIS ARTICLE: Bhansaly P, Mehta S, Sharma N, Gupta E, Mehta S, Gupta S. Evaluation of Immature Granulocyte Count as the Earliest Biomarker for Sepsis. Indian J Crit Care Med 2022;26(2):216–223. |
format | Online Article Text |
id | pubmed-8857719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Jaypee Brothers Medical Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-88577192022-06-15 Evaluation of Immature Granulocyte Count as the Earliest Biomarker for Sepsis Bhansaly, Prabhav Mehta, Sudhir Sharma, Nidhi Gupta, Esha Mehta, Shaurya Gupta, Sweta Indian J Crit Care Med Original Article BACKGROUND: Diagnosing sepsis early is important for its successful management. Various biomarkers are being used currently, but mostly they are either expensive or not readily available. This study aims to evaluate usefulness of automated immature granulocyte count (IG#) and immature granulocyte percentage (IG%) as early diagnostic markers of sepsis and compares it to other established predictive markers. PATIENTS AND METHODS: In this prospective observational study, 137 eligible, critically ill, nonseptic intensive care unit patients were analyzed for automated IG#, IG%, serum procalcitonin (PCT), and blood lactate (Lac), daily for 7 days after recruitment. Patients were followed for the development of sepsis, defined by the new Sepsis-3 criteria. The study was divided into four time periods of 24 hours each with respect to the day of developing organ dysfunction. Using area under receiver operator characteristic and diagnostic odds ratio (DOR) methods, the best biomarker for the prediction of sepsis in each time period was calculated. RESULTS: IG# and IG% were the earliest biomarkers to have a significant discriminating value with area under the curve of 0.81 and 0.82, respectively, as early as 24 hours before clinical sepsis is diagnosed by Sepsis-3 criteria. Both IG# and IG% have a high DOR of 34.91 and 18.11, respectively, when compared to others like PCT and Lac having a DOR of 27.06 and 4.78, respectively. CONCLUSION: IG# and IG% are easily available, rapid, and inexpensive tools to differentiate between septic and nonseptic patients with high specificity and sensitivity. It is the earliest biomarker to show a significant rise in patients developing sepsis. HOW TO CITE THIS ARTICLE: Bhansaly P, Mehta S, Sharma N, Gupta E, Mehta S, Gupta S. Evaluation of Immature Granulocyte Count as the Earliest Biomarker for Sepsis. Indian J Crit Care Med 2022;26(2):216–223. Jaypee Brothers Medical Publishers 2022-02 /pmc/articles/PMC8857719/ /pubmed/35712744 http://dx.doi.org/10.5005/jp-journals-10071-23920 Text en Copyright © 2022; The Author(s). 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 Bhansaly, Prabhav Mehta, Sudhir Sharma, Nidhi Gupta, Esha Mehta, Shaurya Gupta, Sweta Evaluation of Immature Granulocyte Count as the Earliest Biomarker for Sepsis |
title | Evaluation of Immature Granulocyte Count as the Earliest Biomarker for Sepsis |
title_full | Evaluation of Immature Granulocyte Count as the Earliest Biomarker for Sepsis |
title_fullStr | Evaluation of Immature Granulocyte Count as the Earliest Biomarker for Sepsis |
title_full_unstemmed | Evaluation of Immature Granulocyte Count as the Earliest Biomarker for Sepsis |
title_short | Evaluation of Immature Granulocyte Count as the Earliest Biomarker for Sepsis |
title_sort | evaluation of immature granulocyte count as the earliest biomarker for sepsis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857719/ https://www.ncbi.nlm.nih.gov/pubmed/35712744 http://dx.doi.org/10.5005/jp-journals-10071-23920 |
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