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Chest CT Severity Score and Systemic Inflammatory Biomarkers as Predictors of the Need for Invasive Mechanical Ventilation and of COVID-19 Patients’ Mortality

Background: Numerous tools, including inflammatory biomarkers and lung injury severity scores, have been evaluated as predictors of disease progression and the requirement for intensive therapy in COVID-19 patients. This study aims to verify the predictive role of inflammatory biomarkers [monocyte t...

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Autores principales: Halmaciu, Ioana, Arbănași, Emil Marian, Kaller, Réka, Mureșan, Adrian Vasile, Arbănași, Eliza Mihaela, Bacalbasa, Nicolae, Suciu, Bogdan Andrei, Cojocaru, Ioana Iulia, Runcan, Andreea Ioana, Grosu, Florin, Vunvulea, Vlad, Russu, Eliza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497509/
https://www.ncbi.nlm.nih.gov/pubmed/36140490
http://dx.doi.org/10.3390/diagnostics12092089
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author Halmaciu, Ioana
Arbănași, Emil Marian
Kaller, Réka
Mureșan, Adrian Vasile
Arbănași, Eliza Mihaela
Bacalbasa, Nicolae
Suciu, Bogdan Andrei
Cojocaru, Ioana Iulia
Runcan, Andreea Ioana
Grosu, Florin
Vunvulea, Vlad
Russu, Eliza
author_facet Halmaciu, Ioana
Arbănași, Emil Marian
Kaller, Réka
Mureșan, Adrian Vasile
Arbănași, Eliza Mihaela
Bacalbasa, Nicolae
Suciu, Bogdan Andrei
Cojocaru, Ioana Iulia
Runcan, Andreea Ioana
Grosu, Florin
Vunvulea, Vlad
Russu, Eliza
author_sort Halmaciu, Ioana
collection PubMed
description Background: Numerous tools, including inflammatory biomarkers and lung injury severity scores, have been evaluated as predictors of disease progression and the requirement for intensive therapy in COVID-19 patients. This study aims to verify the predictive role of inflammatory biomarkers [monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte ratio (NLR), systemic inflammatory index (SII), Systemic Inflammation Response Index (SIRI), Aggregate Index of Systemic Inflammation (AISI), and interleukin-6 (IL-6)] and the total system score (TSS) in the need for invasive mechanical ventilation (IMV) and mortality in COVID-19 patients. Methods: The present study was designed as an observational, analytical, retrospective cohort study and included all patients over 18 years of age with a diagnosis of COVID-19 pneumonia, confirmed through real time-polymerase chain reaction (RT-PCR) and radiological chest CT findings admitted to County Emergency Clinical Hospital of Targu-Mureș, Romania, and Modular Intensive Care Unit of UMFST “George Emil Palade” of Targu Mures, Romania between January 2021 and December 2021. Results: Non-Survivors patients were associated with higher age (p = 0.01), higher incidence of cardiac disease [atrial fibrillation (AF) p = 0.0008; chronic heart failure (CHF) p = 0.01], chronic kidney disease (CKD; p = 0.02), unvaccinated status (p = 0.001), and higher pulmonary parenchyma involvement (p < 0.0001). Multivariate analysis showed a high baseline value for MLR, NLR, SII, SIRI, AISI, IL-6, and TSS independent predictor of adverse outcomes for all recruited patients. Moreover, the presence of AF, CHF, CKD, and dyslipidemia were independent predictors of mortality. Furthermore, AF and dyslipidemia were independent predictors of IMV need. Conclusions: According to our findings, higher MLR, NLR, SII, SIRI, AISI, IL-6, and TSS values at admission strongly predict IMV requirement and mortality. Moreover, patients above 70 with AF, dyslipidemia, and unvaccinated status highly predicted IMV need and fatality. Likewise, CHF and CKD were independent predictors of increased mortality.
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spelling pubmed-94975092022-09-23 Chest CT Severity Score and Systemic Inflammatory Biomarkers as Predictors of the Need for Invasive Mechanical Ventilation and of COVID-19 Patients’ Mortality Halmaciu, Ioana Arbănași, Emil Marian Kaller, Réka Mureșan, Adrian Vasile Arbănași, Eliza Mihaela Bacalbasa, Nicolae Suciu, Bogdan Andrei Cojocaru, Ioana Iulia Runcan, Andreea Ioana Grosu, Florin Vunvulea, Vlad Russu, Eliza Diagnostics (Basel) Article Background: Numerous tools, including inflammatory biomarkers and lung injury severity scores, have been evaluated as predictors of disease progression and the requirement for intensive therapy in COVID-19 patients. This study aims to verify the predictive role of inflammatory biomarkers [monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte ratio (NLR), systemic inflammatory index (SII), Systemic Inflammation Response Index (SIRI), Aggregate Index of Systemic Inflammation (AISI), and interleukin-6 (IL-6)] and the total system score (TSS) in the need for invasive mechanical ventilation (IMV) and mortality in COVID-19 patients. Methods: The present study was designed as an observational, analytical, retrospective cohort study and included all patients over 18 years of age with a diagnosis of COVID-19 pneumonia, confirmed through real time-polymerase chain reaction (RT-PCR) and radiological chest CT findings admitted to County Emergency Clinical Hospital of Targu-Mureș, Romania, and Modular Intensive Care Unit of UMFST “George Emil Palade” of Targu Mures, Romania between January 2021 and December 2021. Results: Non-Survivors patients were associated with higher age (p = 0.01), higher incidence of cardiac disease [atrial fibrillation (AF) p = 0.0008; chronic heart failure (CHF) p = 0.01], chronic kidney disease (CKD; p = 0.02), unvaccinated status (p = 0.001), and higher pulmonary parenchyma involvement (p < 0.0001). Multivariate analysis showed a high baseline value for MLR, NLR, SII, SIRI, AISI, IL-6, and TSS independent predictor of adverse outcomes for all recruited patients. Moreover, the presence of AF, CHF, CKD, and dyslipidemia were independent predictors of mortality. Furthermore, AF and dyslipidemia were independent predictors of IMV need. Conclusions: According to our findings, higher MLR, NLR, SII, SIRI, AISI, IL-6, and TSS values at admission strongly predict IMV requirement and mortality. Moreover, patients above 70 with AF, dyslipidemia, and unvaccinated status highly predicted IMV need and fatality. Likewise, CHF and CKD were independent predictors of increased mortality. MDPI 2022-08-29 /pmc/articles/PMC9497509/ /pubmed/36140490 http://dx.doi.org/10.3390/diagnostics12092089 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
Halmaciu, Ioana
Arbănași, Emil Marian
Kaller, Réka
Mureșan, Adrian Vasile
Arbănași, Eliza Mihaela
Bacalbasa, Nicolae
Suciu, Bogdan Andrei
Cojocaru, Ioana Iulia
Runcan, Andreea Ioana
Grosu, Florin
Vunvulea, Vlad
Russu, Eliza
Chest CT Severity Score and Systemic Inflammatory Biomarkers as Predictors of the Need for Invasive Mechanical Ventilation and of COVID-19 Patients’ Mortality
title Chest CT Severity Score and Systemic Inflammatory Biomarkers as Predictors of the Need for Invasive Mechanical Ventilation and of COVID-19 Patients’ Mortality
title_full Chest CT Severity Score and Systemic Inflammatory Biomarkers as Predictors of the Need for Invasive Mechanical Ventilation and of COVID-19 Patients’ Mortality
title_fullStr Chest CT Severity Score and Systemic Inflammatory Biomarkers as Predictors of the Need for Invasive Mechanical Ventilation and of COVID-19 Patients’ Mortality
title_full_unstemmed Chest CT Severity Score and Systemic Inflammatory Biomarkers as Predictors of the Need for Invasive Mechanical Ventilation and of COVID-19 Patients’ Mortality
title_short Chest CT Severity Score and Systemic Inflammatory Biomarkers as Predictors of the Need for Invasive Mechanical Ventilation and of COVID-19 Patients’ Mortality
title_sort chest ct severity score and systemic inflammatory biomarkers as predictors of the need for invasive mechanical ventilation and of covid-19 patients’ mortality
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497509/
https://www.ncbi.nlm.nih.gov/pubmed/36140490
http://dx.doi.org/10.3390/diagnostics12092089
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