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Cytokine Levels and Severity of Illness Scoring Systems to Predict Mortality in COVID-19 Infection

Various scoring systems and cytokines have been cited as predicting disease severity in COVID-19 infection. This study analyzed the link between mortality rate, levels of cytokines, and scoring systems such as the Glasgow Coma Scale (GCS), Acute Physiologic Assessment and Chronic Health Evaluation I...

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Autores principales: Onuk, Sevda, Sipahioğlu, Hilal, Karahan, Samet, Yeşiltepe, Ali, Kuzugüden, Sibel, Karabulut, Aycan, Beştepe Dursun, Zehra, Akın, Aynur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914724/
https://www.ncbi.nlm.nih.gov/pubmed/36766961
http://dx.doi.org/10.3390/healthcare11030387
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author Onuk, Sevda
Sipahioğlu, Hilal
Karahan, Samet
Yeşiltepe, Ali
Kuzugüden, Sibel
Karabulut, Aycan
Beştepe Dursun, Zehra
Akın, Aynur
author_facet Onuk, Sevda
Sipahioğlu, Hilal
Karahan, Samet
Yeşiltepe, Ali
Kuzugüden, Sibel
Karabulut, Aycan
Beştepe Dursun, Zehra
Akın, Aynur
author_sort Onuk, Sevda
collection PubMed
description Various scoring systems and cytokines have been cited as predicting disease severity in COVID-19 infection. This study analyzed the link between mortality rate, levels of cytokines, and scoring systems such as the Glasgow Coma Scale (GCS), Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II), Sequential Organ Failure Assessment (SOFA), and Charlson Comorbidity Index in patients infected with COVID-19. Adult patients infected with COVID-19 were followed up in the intensive care unit (ICU) and analyzed prospectively. We measured serum cytokine levels (Interleukin-10 (IL-10), Interleukin-8 (IL-8), Interleukin-6 (IL-6), Interleukin-1β (IL-1β), tumor necrosis factor-alpha (TNF-α) and High mobility group box 1 (HMGB-1)) and recorded GCS, APACHE II, SOFA, and Charlson comorbidity index scores on admission to the ICU. Receiver operating curve (ROC) analysis was performed to predict mortality from IL-1β, IL-6 IL-10, IL-8, TNF-α, and HMGB-1 values. Study participants were grouped as follows: Group A, survivors, and Group B, deceased, during the 28-day follow-up. The mean age was 65.69 (±13.56) in Group A (n = 36) and 70.85 (±10.06) in Group B (n = 27). The female/male ratio was 23/40. Age, sex, body mass index (BMI), comorbid illnesses, GCS, APACHE II, SOFA, and Charlson scores, duration of hospitalization or ICU admission, therapeutic choices, and lymphocyte, PMNL, NLR, platelet, D-dimer, fibrinogen, GGT, CRP, procalcitonin, and lactate levels were similar between the groups. The frequency of acute kidney injury (AKI) was higher in Group B (p = 0.005). Serum IL-10, IL-8, IL-6, IL-1β, TNF-α, HMGB-1, ferritin, and LDH values were higher, and PaO(2)/FiO(2) was lower in Group B than in Group A. ROC analysis showed that there was an association between serum IL-1β (>1015.7), serum IL-6 (>116.7), serum IL-8 (>258.4), serum IL-10 (>247.5), serum TNF-α (>280.7), and serum HMGB-1 (>23.5) and mortality. AKI gave rise to a greater risk of mortality (odds ratio: 7.081, p = 0.014). Mortality was associated with serum IL-10, IL-8, IL-6, IL-1β, TNF-α, and HMGB-1 but not with GCS, APACHE II, SOFA, or Charlson comorbidity index scores. AKI increased the risk of mortality by seven times. Our findings suggest that cytokine levels (serum IL-10, IL-8, IL-6, IL-1β, TNF-α, and HMGB-1) were predictors of mortality in COVID-19 infection. In addition, our results might give an opinion about the course of COVID-19 infection.
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spelling pubmed-99147242023-02-11 Cytokine Levels and Severity of Illness Scoring Systems to Predict Mortality in COVID-19 Infection Onuk, Sevda Sipahioğlu, Hilal Karahan, Samet Yeşiltepe, Ali Kuzugüden, Sibel Karabulut, Aycan Beştepe Dursun, Zehra Akın, Aynur Healthcare (Basel) Article Various scoring systems and cytokines have been cited as predicting disease severity in COVID-19 infection. This study analyzed the link between mortality rate, levels of cytokines, and scoring systems such as the Glasgow Coma Scale (GCS), Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II), Sequential Organ Failure Assessment (SOFA), and Charlson Comorbidity Index in patients infected with COVID-19. Adult patients infected with COVID-19 were followed up in the intensive care unit (ICU) and analyzed prospectively. We measured serum cytokine levels (Interleukin-10 (IL-10), Interleukin-8 (IL-8), Interleukin-6 (IL-6), Interleukin-1β (IL-1β), tumor necrosis factor-alpha (TNF-α) and High mobility group box 1 (HMGB-1)) and recorded GCS, APACHE II, SOFA, and Charlson comorbidity index scores on admission to the ICU. Receiver operating curve (ROC) analysis was performed to predict mortality from IL-1β, IL-6 IL-10, IL-8, TNF-α, and HMGB-1 values. Study participants were grouped as follows: Group A, survivors, and Group B, deceased, during the 28-day follow-up. The mean age was 65.69 (±13.56) in Group A (n = 36) and 70.85 (±10.06) in Group B (n = 27). The female/male ratio was 23/40. Age, sex, body mass index (BMI), comorbid illnesses, GCS, APACHE II, SOFA, and Charlson scores, duration of hospitalization or ICU admission, therapeutic choices, and lymphocyte, PMNL, NLR, platelet, D-dimer, fibrinogen, GGT, CRP, procalcitonin, and lactate levels were similar between the groups. The frequency of acute kidney injury (AKI) was higher in Group B (p = 0.005). Serum IL-10, IL-8, IL-6, IL-1β, TNF-α, HMGB-1, ferritin, and LDH values were higher, and PaO(2)/FiO(2) was lower in Group B than in Group A. ROC analysis showed that there was an association between serum IL-1β (>1015.7), serum IL-6 (>116.7), serum IL-8 (>258.4), serum IL-10 (>247.5), serum TNF-α (>280.7), and serum HMGB-1 (>23.5) and mortality. AKI gave rise to a greater risk of mortality (odds ratio: 7.081, p = 0.014). Mortality was associated with serum IL-10, IL-8, IL-6, IL-1β, TNF-α, and HMGB-1 but not with GCS, APACHE II, SOFA, or Charlson comorbidity index scores. AKI increased the risk of mortality by seven times. Our findings suggest that cytokine levels (serum IL-10, IL-8, IL-6, IL-1β, TNF-α, and HMGB-1) were predictors of mortality in COVID-19 infection. In addition, our results might give an opinion about the course of COVID-19 infection. MDPI 2023-01-29 /pmc/articles/PMC9914724/ /pubmed/36766961 http://dx.doi.org/10.3390/healthcare11030387 Text en © 2023 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
Onuk, Sevda
Sipahioğlu, Hilal
Karahan, Samet
Yeşiltepe, Ali
Kuzugüden, Sibel
Karabulut, Aycan
Beştepe Dursun, Zehra
Akın, Aynur
Cytokine Levels and Severity of Illness Scoring Systems to Predict Mortality in COVID-19 Infection
title Cytokine Levels and Severity of Illness Scoring Systems to Predict Mortality in COVID-19 Infection
title_full Cytokine Levels and Severity of Illness Scoring Systems to Predict Mortality in COVID-19 Infection
title_fullStr Cytokine Levels and Severity of Illness Scoring Systems to Predict Mortality in COVID-19 Infection
title_full_unstemmed Cytokine Levels and Severity of Illness Scoring Systems to Predict Mortality in COVID-19 Infection
title_short Cytokine Levels and Severity of Illness Scoring Systems to Predict Mortality in COVID-19 Infection
title_sort cytokine levels and severity of illness scoring systems to predict mortality in covid-19 infection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914724/
https://www.ncbi.nlm.nih.gov/pubmed/36766961
http://dx.doi.org/10.3390/healthcare11030387
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