Eosinophil count: a predictor of in-hospital mortality in a cohort of cirrhosis patients with sepsis

Abstract Background Declining eosinophil count has recently been associated with sepsis. Thus, absolute eosinophil count (AEC) can be used as a marker of the severity of sepsis, which helps in the early identification of high-risk patients, and better management can be offered to such patients. The...

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Main Authors: K. V. Anoop, Krishnadas Devadas, Jijo Varghese
Format: Article
Language:English
Published: SpringerOpen 2022-05-01
Series:Egyptian Liver Journal
Subjects:
Online Access:https://doi.org/10.1186/s43066-021-00167-8
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author K. V. Anoop
Krishnadas Devadas
Jijo Varghese
author_facet K. V. Anoop
Krishnadas Devadas
Jijo Varghese
author_sort K. V. Anoop
collection DOAJ
description Abstract Background Declining eosinophil count has recently been associated with sepsis. Thus, absolute eosinophil count (AEC) can be used as a marker of the severity of sepsis, which helps in the early identification of high-risk patients, and better management can be offered to such patients. The aim of this study was to assess whether AEC at the time of ICU admission can be used as a predictor of in-hospital mortality in cirrhotics with sepsis. Results This was a retrospective study which was conducted in 105 cirrhotic patients admitted with sepsis in the Department of Gastroenterology, Medical College Trivandrum, from May 2014 to October 2014. Every consecutive patient with cirrhosis and sepsis (defined as systemic inflammatory response syndrome (SIRS) and the presence of infections) admitted to the ICU/high dependency unit was recruited for the study. Among the various parameters analyzed, model for end-stage liver disease (MELD) score, Child-Pugh Turcot (CTP) score, albumin levels, total count, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), alanine aminotransferase (ALT), bilirubin, creatinine, urea, and absolute eosinophil count were statistically significant in predicting in-hospital mortality. The AUROC of AEC was plotted and found to be 0.881, which was better than other parameters for predicting in-hospital mortality. The cutoff of AEC by Youden’s index was 110 cells/cumm (sensitivity 91.3%, specificity 89%, positive predictive value 87.5%, and negative predictive value 93%) to predict in-hospital mortality. The AUROC of MELD was 0.78 with a cutoff of > 24 (sensitivity 89%, specificity 74.6%, positive predictive value 73%, and negative predictive value 89%) to predict the mortality. The odds ratio for predicting mortality was highest for absolute eosinophil count (92.75) followed by MELD (24.57), total count (20.475), CTP (10), and the presence of SIRS (9.08). Conclusion In critically ill cirrhosis patients with sepsis, AEC < 110 cells/cumm can predict in-hospital mortality.
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spelling doaj.art-21d77e17a6664edd80f69bf109d3fd702022-12-22T00:19:29ZengSpringerOpenEgyptian Liver Journal2090-62262022-05-011211710.1186/s43066-021-00167-8Eosinophil count: a predictor of in-hospital mortality in a cohort of cirrhosis patients with sepsisK. V. Anoop0Krishnadas Devadas1Jijo Varghese2Government Medical College ThiruvananthapuramGovernment Medical College ThiruvananthapuramGovernment Medical College ThiruvananthapuramAbstract Background Declining eosinophil count has recently been associated with sepsis. Thus, absolute eosinophil count (AEC) can be used as a marker of the severity of sepsis, which helps in the early identification of high-risk patients, and better management can be offered to such patients. The aim of this study was to assess whether AEC at the time of ICU admission can be used as a predictor of in-hospital mortality in cirrhotics with sepsis. Results This was a retrospective study which was conducted in 105 cirrhotic patients admitted with sepsis in the Department of Gastroenterology, Medical College Trivandrum, from May 2014 to October 2014. Every consecutive patient with cirrhosis and sepsis (defined as systemic inflammatory response syndrome (SIRS) and the presence of infections) admitted to the ICU/high dependency unit was recruited for the study. Among the various parameters analyzed, model for end-stage liver disease (MELD) score, Child-Pugh Turcot (CTP) score, albumin levels, total count, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), alanine aminotransferase (ALT), bilirubin, creatinine, urea, and absolute eosinophil count were statistically significant in predicting in-hospital mortality. The AUROC of AEC was plotted and found to be 0.881, which was better than other parameters for predicting in-hospital mortality. The cutoff of AEC by Youden’s index was 110 cells/cumm (sensitivity 91.3%, specificity 89%, positive predictive value 87.5%, and negative predictive value 93%) to predict in-hospital mortality. The AUROC of MELD was 0.78 with a cutoff of > 24 (sensitivity 89%, specificity 74.6%, positive predictive value 73%, and negative predictive value 89%) to predict the mortality. The odds ratio for predicting mortality was highest for absolute eosinophil count (92.75) followed by MELD (24.57), total count (20.475), CTP (10), and the presence of SIRS (9.08). Conclusion In critically ill cirrhosis patients with sepsis, AEC < 110 cells/cumm can predict in-hospital mortality.https://doi.org/10.1186/s43066-021-00167-8CirrhosisEosinophilSepsisInfectionMortality
spellingShingle K. V. Anoop
Krishnadas Devadas
Jijo Varghese
Eosinophil count: a predictor of in-hospital mortality in a cohort of cirrhosis patients with sepsis
Egyptian Liver Journal
Cirrhosis
Eosinophil
Sepsis
Infection
Mortality
title Eosinophil count: a predictor of in-hospital mortality in a cohort of cirrhosis patients with sepsis
title_full Eosinophil count: a predictor of in-hospital mortality in a cohort of cirrhosis patients with sepsis
title_fullStr Eosinophil count: a predictor of in-hospital mortality in a cohort of cirrhosis patients with sepsis
title_full_unstemmed Eosinophil count: a predictor of in-hospital mortality in a cohort of cirrhosis patients with sepsis
title_short Eosinophil count: a predictor of in-hospital mortality in a cohort of cirrhosis patients with sepsis
title_sort eosinophil count a predictor of in hospital mortality in a cohort of cirrhosis patients with sepsis
topic Cirrhosis
Eosinophil
Sepsis
Infection
Mortality
url https://doi.org/10.1186/s43066-021-00167-8
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AT jijovarghese eosinophilcountapredictorofinhospitalmortalityinacohortofcirrhosispatientswithsepsis