Cargando…

Age-Dependent Biomarkers for Prediction of In-Hospital Mortality in COVID-19 Patients

Background: Several biomarkers and models have been proposed to predict in-hospital mortality among COVID-19 patients. However, these studies have not examined the association in sub-populations. The present study aimed to identify the association between the two most common inflammatory biomarkers...

Descripción completa

Detalles Bibliográficos
Autores principales: Feigin, Eugene, Levinson, Tal, Wasserman, Asaf, Shenhar-Tsarfaty, Shani, Berliner, Shlomo, Ziv-Baran, Tomer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144665/
https://www.ncbi.nlm.nih.gov/pubmed/35628809
http://dx.doi.org/10.3390/jcm11102682
_version_ 1784716103735312384
author Feigin, Eugene
Levinson, Tal
Wasserman, Asaf
Shenhar-Tsarfaty, Shani
Berliner, Shlomo
Ziv-Baran, Tomer
author_facet Feigin, Eugene
Levinson, Tal
Wasserman, Asaf
Shenhar-Tsarfaty, Shani
Berliner, Shlomo
Ziv-Baran, Tomer
author_sort Feigin, Eugene
collection PubMed
description Background: Several biomarkers and models have been proposed to predict in-hospital mortality among COVID-19 patients. However, these studies have not examined the association in sub-populations. The present study aimed to identify the association between the two most common inflammatory biomarkers in the emergency department and in-hospital mortality in subgroups of patients. Methods: A historical cohort study of adult patients who were admitted to acute-care hospital between March and December 2020 and had a diagnosis of COVID-19 infection. Data on age, sex, Charlson comorbidity index, white blood cell (WBC) count, C-reactive protein (CRP), and in-hospital mortality were collected. Discrimination ability of each biomarker was observed and the CHAID method was used to identify the association in subgroups of patients. Results: Overall, 762 patients (median age 70.9 years, 59.7% males) were included in the study. Of them, 25.1% died during hospitalization. In-hospital mortality was associated with higher CRP (median 138 mg/L vs. 85 mg/L, p < 0.001), higher WBC count (median 8.5 vs. 6.6 K/µL, p < 0.001), and higher neutrophil-to-lymphocyte ratio (NLR) (median 9.2 vs. 5.4, p < 0.001). The area under the ROC curve was similar among all biomarkers (WBC 0.643, NLR 0.677, CRP 0.646, p > 0.1 for all comparisons). The CHAID method revealed that WBC count was associated with in-hospital mortality in patients aged 43.1–66.0 years (<11 K/µL: 10.1% vs. 11+ K/µL: 27.9%), NLR in patients aged 66.1–80 years (≤8: 15.7%, >8: 43.3%), and CRP in patients aged 80.1+ years (≤47 mg/L: 18.8%, 47.1–149 mg/L: 43.1%, and 149.1+: 71.7% mortality). Conclusions: WBC, NLR, and CRP present similar discrimination abilities. However, each biomarker should be considered as a predictor for in-hospital mortality in different age groups.
format Online
Article
Text
id pubmed-9144665
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-91446652022-05-29 Age-Dependent Biomarkers for Prediction of In-Hospital Mortality in COVID-19 Patients Feigin, Eugene Levinson, Tal Wasserman, Asaf Shenhar-Tsarfaty, Shani Berliner, Shlomo Ziv-Baran, Tomer J Clin Med Article Background: Several biomarkers and models have been proposed to predict in-hospital mortality among COVID-19 patients. However, these studies have not examined the association in sub-populations. The present study aimed to identify the association between the two most common inflammatory biomarkers in the emergency department and in-hospital mortality in subgroups of patients. Methods: A historical cohort study of adult patients who were admitted to acute-care hospital between March and December 2020 and had a diagnosis of COVID-19 infection. Data on age, sex, Charlson comorbidity index, white blood cell (WBC) count, C-reactive protein (CRP), and in-hospital mortality were collected. Discrimination ability of each biomarker was observed and the CHAID method was used to identify the association in subgroups of patients. Results: Overall, 762 patients (median age 70.9 years, 59.7% males) were included in the study. Of them, 25.1% died during hospitalization. In-hospital mortality was associated with higher CRP (median 138 mg/L vs. 85 mg/L, p < 0.001), higher WBC count (median 8.5 vs. 6.6 K/µL, p < 0.001), and higher neutrophil-to-lymphocyte ratio (NLR) (median 9.2 vs. 5.4, p < 0.001). The area under the ROC curve was similar among all biomarkers (WBC 0.643, NLR 0.677, CRP 0.646, p > 0.1 for all comparisons). The CHAID method revealed that WBC count was associated with in-hospital mortality in patients aged 43.1–66.0 years (<11 K/µL: 10.1% vs. 11+ K/µL: 27.9%), NLR in patients aged 66.1–80 years (≤8: 15.7%, >8: 43.3%), and CRP in patients aged 80.1+ years (≤47 mg/L: 18.8%, 47.1–149 mg/L: 43.1%, and 149.1+: 71.7% mortality). Conclusions: WBC, NLR, and CRP present similar discrimination abilities. However, each biomarker should be considered as a predictor for in-hospital mortality in different age groups. MDPI 2022-05-10 /pmc/articles/PMC9144665/ /pubmed/35628809 http://dx.doi.org/10.3390/jcm11102682 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Feigin, Eugene
Levinson, Tal
Wasserman, Asaf
Shenhar-Tsarfaty, Shani
Berliner, Shlomo
Ziv-Baran, Tomer
Age-Dependent Biomarkers for Prediction of In-Hospital Mortality in COVID-19 Patients
title Age-Dependent Biomarkers for Prediction of In-Hospital Mortality in COVID-19 Patients
title_full Age-Dependent Biomarkers for Prediction of In-Hospital Mortality in COVID-19 Patients
title_fullStr Age-Dependent Biomarkers for Prediction of In-Hospital Mortality in COVID-19 Patients
title_full_unstemmed Age-Dependent Biomarkers for Prediction of In-Hospital Mortality in COVID-19 Patients
title_short Age-Dependent Biomarkers for Prediction of In-Hospital Mortality in COVID-19 Patients
title_sort age-dependent biomarkers for prediction of in-hospital mortality in covid-19 patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144665/
https://www.ncbi.nlm.nih.gov/pubmed/35628809
http://dx.doi.org/10.3390/jcm11102682
work_keys_str_mv AT feigineugene agedependentbiomarkersforpredictionofinhospitalmortalityincovid19patients
AT levinsontal agedependentbiomarkersforpredictionofinhospitalmortalityincovid19patients
AT wassermanasaf agedependentbiomarkersforpredictionofinhospitalmortalityincovid19patients
AT shenhartsarfatyshani agedependentbiomarkersforpredictionofinhospitalmortalityincovid19patients
AT berlinershlomo agedependentbiomarkersforpredictionofinhospitalmortalityincovid19patients
AT zivbarantomer agedependentbiomarkersforpredictionofinhospitalmortalityincovid19patients