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Outcome predictors in COVID-19: An analysis of emergent systemic inflammation indices in Mexican population

INTRODUCTION: The systemic viral disease caused by the SARS-CoV-2 called coronavirus disease 2019 (COVID-19) continues to be a public health problem worldwide. OBJECTIVE: This study is aimed to evaluate the association and predictive value of indices of systemic inflammation with severity and non-su...

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Autores principales: Gutiérrez-Pérez, Ilse Adriana, Buendía-Roldán, Ivette, Pérez-Rubio, Gloria, Chávez-Galán, Leslie, Hernández-Zenteno, Rafael de Jesus, Aguilar-Duran, Hiram, Fricke-Galindo, Ingrid, Zaragoza-García, Oscar, Falfán-Valencia, Ramcés, Guzmán-Guzmán, Iris Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633849/
https://www.ncbi.nlm.nih.gov/pubmed/36341268
http://dx.doi.org/10.3389/fmed.2022.1000147
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author Gutiérrez-Pérez, Ilse Adriana
Buendía-Roldán, Ivette
Pérez-Rubio, Gloria
Chávez-Galán, Leslie
Hernández-Zenteno, Rafael de Jesus
Aguilar-Duran, Hiram
Fricke-Galindo, Ingrid
Zaragoza-García, Oscar
Falfán-Valencia, Ramcés
Guzmán-Guzmán, Iris Paola
author_facet Gutiérrez-Pérez, Ilse Adriana
Buendía-Roldán, Ivette
Pérez-Rubio, Gloria
Chávez-Galán, Leslie
Hernández-Zenteno, Rafael de Jesus
Aguilar-Duran, Hiram
Fricke-Galindo, Ingrid
Zaragoza-García, Oscar
Falfán-Valencia, Ramcés
Guzmán-Guzmán, Iris Paola
author_sort Gutiérrez-Pérez, Ilse Adriana
collection PubMed
description INTRODUCTION: The systemic viral disease caused by the SARS-CoV-2 called coronavirus disease 2019 (COVID-19) continues to be a public health problem worldwide. OBJECTIVE: This study is aimed to evaluate the association and predictive value of indices of systemic inflammation with severity and non-survival of COVID-19 in Mexican patients. MATERIALS AND METHODS: A retrospective study was carried out on 807 subjects with a confirmed diagnosis of COVID-19. Clinical characteristics, acute respiratory distress syndrome (ARDS), severity according to PaO(2)/FiO(2) ratio, invasive mechanical ventilation (IMV), and non-survival outcome were considered to assess the predictive value and the association of 11 systemic inflammatory indices derived from hematological parameters analyzed at the hospital admission of patients. The receiver operating characteristics curve was applied to determine the thresholds for 11 biomarkers, and their prognostic values were assessed via the Kaplan-Meier method. RESULTS: 26% of the studied subjects showed COVID-19 severe (PaO(2)/FiO(2) ratio ≤ 100), 82.4% required IMV, and 39.2% were non-survival. The indices NHL, NLR, RDW, dNLR, and SIRI displayed predictive values for severe COVID-19 and non-survival. NHL, SIRI, and NLR showed predictive value for IMV. The cut-off values for RDW (OR = 1.85, p < 0.001), NHL (OR = 1.67, p = 0.004) and NLR (OR = 1.56, p = 0.012) were mainly associated with severe COVID-19. NHL (OR = 3.07, p < 0.001), AISI (OR = 2.64, p < 0.001) and SIRI (OR = 2.51, p < 0.001) were associated with IMV support, while for non-survival the main indices associated were NHL (OR = 2.65, p < 0.001), NLR (OR = 2.26, p < 0.001), dNLR (OR = 1.92, p < 0.001), SIRI (OR = 1.67, p = 0.002) and SII (OR = 1.50, p = 0.010). The patients with an RDW, PLR, NLR, dNLR, MLR, SII, and NHL above the cut-off had a survival probability of COVID-19 50% lower, with an estimated mean survival time of 40 days. CONCLUSION: The emergent systemic inflammation indices NHL, NLR, RDW, SII, and SIRI have a predictive power of severe COVID-19, IMV support, and low survival probability during hospitalization by COVID-19 in Mexican patients.
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spelling pubmed-96338492022-11-05 Outcome predictors in COVID-19: An analysis of emergent systemic inflammation indices in Mexican population Gutiérrez-Pérez, Ilse Adriana Buendía-Roldán, Ivette Pérez-Rubio, Gloria Chávez-Galán, Leslie Hernández-Zenteno, Rafael de Jesus Aguilar-Duran, Hiram Fricke-Galindo, Ingrid Zaragoza-García, Oscar Falfán-Valencia, Ramcés Guzmán-Guzmán, Iris Paola Front Med (Lausanne) Medicine INTRODUCTION: The systemic viral disease caused by the SARS-CoV-2 called coronavirus disease 2019 (COVID-19) continues to be a public health problem worldwide. OBJECTIVE: This study is aimed to evaluate the association and predictive value of indices of systemic inflammation with severity and non-survival of COVID-19 in Mexican patients. MATERIALS AND METHODS: A retrospective study was carried out on 807 subjects with a confirmed diagnosis of COVID-19. Clinical characteristics, acute respiratory distress syndrome (ARDS), severity according to PaO(2)/FiO(2) ratio, invasive mechanical ventilation (IMV), and non-survival outcome were considered to assess the predictive value and the association of 11 systemic inflammatory indices derived from hematological parameters analyzed at the hospital admission of patients. The receiver operating characteristics curve was applied to determine the thresholds for 11 biomarkers, and their prognostic values were assessed via the Kaplan-Meier method. RESULTS: 26% of the studied subjects showed COVID-19 severe (PaO(2)/FiO(2) ratio ≤ 100), 82.4% required IMV, and 39.2% were non-survival. The indices NHL, NLR, RDW, dNLR, and SIRI displayed predictive values for severe COVID-19 and non-survival. NHL, SIRI, and NLR showed predictive value for IMV. The cut-off values for RDW (OR = 1.85, p < 0.001), NHL (OR = 1.67, p = 0.004) and NLR (OR = 1.56, p = 0.012) were mainly associated with severe COVID-19. NHL (OR = 3.07, p < 0.001), AISI (OR = 2.64, p < 0.001) and SIRI (OR = 2.51, p < 0.001) were associated with IMV support, while for non-survival the main indices associated were NHL (OR = 2.65, p < 0.001), NLR (OR = 2.26, p < 0.001), dNLR (OR = 1.92, p < 0.001), SIRI (OR = 1.67, p = 0.002) and SII (OR = 1.50, p = 0.010). The patients with an RDW, PLR, NLR, dNLR, MLR, SII, and NHL above the cut-off had a survival probability of COVID-19 50% lower, with an estimated mean survival time of 40 days. CONCLUSION: The emergent systemic inflammation indices NHL, NLR, RDW, SII, and SIRI have a predictive power of severe COVID-19, IMV support, and low survival probability during hospitalization by COVID-19 in Mexican patients. Frontiers Media S.A. 2022-10-21 /pmc/articles/PMC9633849/ /pubmed/36341268 http://dx.doi.org/10.3389/fmed.2022.1000147 Text en Copyright © 2022 Gutiérrez-Pérez, Buendía-Roldán, Pérez-Rubio, Chávez-Galán, Hernández-Zenteno, Aguilar-Duran, Fricke-Galindo, Zaragoza-García, Falfán-Valencia and Guzmán-Guzmán. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Gutiérrez-Pérez, Ilse Adriana
Buendía-Roldán, Ivette
Pérez-Rubio, Gloria
Chávez-Galán, Leslie
Hernández-Zenteno, Rafael de Jesus
Aguilar-Duran, Hiram
Fricke-Galindo, Ingrid
Zaragoza-García, Oscar
Falfán-Valencia, Ramcés
Guzmán-Guzmán, Iris Paola
Outcome predictors in COVID-19: An analysis of emergent systemic inflammation indices in Mexican population
title Outcome predictors in COVID-19: An analysis of emergent systemic inflammation indices in Mexican population
title_full Outcome predictors in COVID-19: An analysis of emergent systemic inflammation indices in Mexican population
title_fullStr Outcome predictors in COVID-19: An analysis of emergent systemic inflammation indices in Mexican population
title_full_unstemmed Outcome predictors in COVID-19: An analysis of emergent systemic inflammation indices in Mexican population
title_short Outcome predictors in COVID-19: An analysis of emergent systemic inflammation indices in Mexican population
title_sort outcome predictors in covid-19: an analysis of emergent systemic inflammation indices in mexican population
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633849/
https://www.ncbi.nlm.nih.gov/pubmed/36341268
http://dx.doi.org/10.3389/fmed.2022.1000147
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