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

The systemic viral disease caused by the SARS-CoV-2 called coronavirus disease 2019 (COVID-19) continues to be a public health problem worldwide. 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 Mex...

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Published inFrontiers in medicine Vol. 9; p. 1000147
Main Authors 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
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 21.10.2022
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Summary:The systemic viral disease caused by the SARS-CoV-2 called coronavirus disease 2019 (COVID-19) continues to be a public health problem worldwide. 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. 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 /FiO 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 the Kaplan-Meier method. 26% of the studied subjects showed COVID-19 severe (PaO /FiO 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, < 0.001), NHL (OR = 1.67, = 0.004) and NLR (OR = 1.56, = 0.012) were mainly associated with severe COVID-19. NHL (OR = 3.07, < 0.001), AISI (OR = 2.64, < 0.001) and SIRI (OR = 2.51, < 0.001) were associated with IMV support, while for non-survival the main indices associated were NHL (OR = 2.65, < 0.001), NLR (OR = 2.26, < 0.001), dNLR (OR = 1.92, < 0.001), SIRI (OR = 1.67, = 0.002) and SII (OR = 1.50, = 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. 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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Reviewed by: Feng-Liang Liu, Kunming Institute of Zoology (CAS), China; Birsen Ocaklı, Health Sciences University Süreyyapaşa Chest Diseases and Thoracic Surgery Training and Research Hospital, Turkey
These authors have contributed equally to this work
Edited by: Zuhal Karakurt, Health Sciences University Süreyyapaşa Chest Diseases and Thoracic Surgery Training and Research Hospital, Turkey
This article was submitted to Pulmonary Medicine, a section of the journal Frontiers in Medicine
ISSN:2296-858X
2296-858X
DOI:10.3389/fmed.2022.1000147