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 

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

JOURNAL=Frontiers in Medicine

VOLUME=9

YEAR=2022

URL=https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2022.1000147

DOI=10.3389/fmed.2022.1000147

ISSN=2296-858X

ABSTRACT=<sec><title>Introduction</title><p>The systemic viral disease caused by the SARS-CoV-2 called coronavirus disease 2019 (COVID-19) continues to be a public health problem worldwide.</p></sec><sec><title>Objective</title><p>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.</p></sec><sec><title>Materials and Methods</title><p>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<sub>2</sub>/FiO<sub>2</sub> 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 <italic>via</italic> the Kaplan-Meier method.</p></sec><sec><title>Results</title><p>26% of the studied subjects showed COVID-19 severe (PaO<sub>2</sub>/FiO<sub>2</sub> 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, <italic>p</italic> &lt; 0.001), NHL (OR = 1.67, <italic>p</italic> = 0.004) and NLR (OR = 1.56, <italic>p</italic> = 0.012) were mainly associated with severe COVID-19. NHL (OR = 3.07, <italic>p</italic> &lt; 0.001), AISI (OR = 2.64, <italic>p</italic> &lt; 0.001) and SIRI (OR = 2.51, <italic>p</italic> &lt; 0.001) were associated with IMV support, while for non-survival the main indices associated were NHL (OR = 2.65, <italic>p</italic> &lt; 0.001), NLR (OR = 2.26, <italic>p</italic> &lt; 0.001), dNLR (OR = 1.92, <italic>p</italic> &lt; 0.001), SIRI (OR = 1.67, <italic>p</italic> = 0.002) and SII (OR = 1.50, <italic>p</italic> = 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.</p></sec><sec><title>Conclusion</title><p>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.</p></sec>