Prediction of acute lung injury assessed by chest computed tomography, oxygen saturation/fraction of inspired oxygen ratio, and serum lactate dehydrogenase in patients with COVID-19
Copyright © 2023 Japanese Society of Chemotherapy, Japanese Association for Infectious Diseases, and Japanese Society for Infection Prevention and Control. Published by Elsevier Ltd. All rights reserved..
INTRODUCTION: In treating acute hypoxemic respiratory failure (AHRF) caused by coronavirus disease 2019 (COVID-19), clinicians choose respiratory therapies such as low-flow nasal cannula oxygenation, high-flow nasal cannula oxygenation, or mechanical ventilation after assessment of the patient's condition. Chest computed tomography (CT) imaging contributes significantly to diagnosing COVID-19 pneumonia. However, the costs and potential harm to patients from radiation exposure need to be considered. This study was performed to predict the quantitative extent of COVID-19 acute lung injury using clinical indicators such as an oxygenation index and blood test results.
METHODS: We analyzed data from 192 patients with COVID-19 AHRF. Multiple logistic regression was used to determine correlations between the lung infiltration volume (LIV) and other pathophysiological or biochemical laboratory parameters.
RESULTS: Among 13 clinical parameters, we identified the oxygen saturation/fraction of inspired oxygen ratio (SF ratio) and serum lactate dehydrogenase (LD) concentration as factors associated with the LIV. In the binary classification of an LIV of ≥20 % or not and with the borderline LD = 2.2 × [SF ratio]-182.4, the accuracy, precision, diagnostic odds ratio, and area under the summary receiver operating characteristic curve were 0.828, 0.818, 23.400, and 0.870, respectively.
CONCLUSIONS: These data suggest that acute lung injury due to COVID-19 pneumonia can be estimated using the SF ratio and LD concentration without a CT scan. These findings may provide significant clinical benefit by allowing clinicians to predict acute lung injury levels using simple, minimally invasive assessment of oxygenation capacity and biochemical blood tests.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:30 |
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| Enthalten in: |
Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy - 30(2024), 5 vom: 21. März, Seite 406-416 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Matsubara, Shin [VerfasserIn] |
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| Links: |
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| Themen: |
Acute lung injury |
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| Anmerkungen: |
Date Completed 25.03.2024 Date Revised 25.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.jiac.2023.11.013 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM364759356 |
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| 100 | 1 | |a Matsubara, Shin |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Prediction of acute lung injury assessed by chest computed tomography, oxygen saturation/fraction of inspired oxygen ratio, and serum lactate dehydrogenase in patients with COVID-19 |
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| 520 | |a Copyright © 2023 Japanese Society of Chemotherapy, Japanese Association for Infectious Diseases, and Japanese Society for Infection Prevention and Control. Published by Elsevier Ltd. All rights reserved. | ||
| 520 | |a INTRODUCTION: In treating acute hypoxemic respiratory failure (AHRF) caused by coronavirus disease 2019 (COVID-19), clinicians choose respiratory therapies such as low-flow nasal cannula oxygenation, high-flow nasal cannula oxygenation, or mechanical ventilation after assessment of the patient's condition. Chest computed tomography (CT) imaging contributes significantly to diagnosing COVID-19 pneumonia. However, the costs and potential harm to patients from radiation exposure need to be considered. This study was performed to predict the quantitative extent of COVID-19 acute lung injury using clinical indicators such as an oxygenation index and blood test results | ||
| 520 | |a METHODS: We analyzed data from 192 patients with COVID-19 AHRF. Multiple logistic regression was used to determine correlations between the lung infiltration volume (LIV) and other pathophysiological or biochemical laboratory parameters | ||
| 520 | |a RESULTS: Among 13 clinical parameters, we identified the oxygen saturation/fraction of inspired oxygen ratio (SF ratio) and serum lactate dehydrogenase (LD) concentration as factors associated with the LIV. In the binary classification of an LIV of ≥20 % or not and with the borderline LD = 2.2 × [SF ratio]-182.4, the accuracy, precision, diagnostic odds ratio, and area under the summary receiver operating characteristic curve were 0.828, 0.818, 23.400, and 0.870, respectively | ||
| 520 | |a CONCLUSIONS: These data suggest that acute lung injury due to COVID-19 pneumonia can be estimated using the SF ratio and LD concentration without a CT scan. These findings may provide significant clinical benefit by allowing clinicians to predict acute lung injury levels using simple, minimally invasive assessment of oxygenation capacity and biochemical blood tests | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Acute lung injury | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Chest CT scan | |
| 650 | 4 | |a Lactate dehydrogenase | |
| 650 | 4 | |a Lung infiltration volume | |
| 650 | 4 | |a SpO(2)/F(I)O(2) ratio | |
| 650 | 7 | |a Oxygen |2 NLM | |
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| 650 | 7 | |a Lactate Dehydrogenases |2 NLM | |
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| 700 | 1 | |a Sudo, Kazuki |e verfasserin |4 aut | |
| 700 | 1 | |a Kushimoto, Kohsuke |e verfasserin |4 aut | |
| 700 | 1 | |a Yoshii, Ryogo |e verfasserin |4 aut | |
| 700 | 1 | |a Inoue, Keita |e verfasserin |4 aut | |
| 700 | 1 | |a Kinoshita, Mao |e verfasserin |4 aut | |
| 700 | 1 | |a Kooguchi, Kunihiko |e verfasserin |4 aut | |
| 700 | 1 | |a Shikata, Satoru |e verfasserin |4 aut | |
| 700 | 1 | |a Inaba, Tohru |e verfasserin |4 aut | |
| 700 | 1 | |a Sawa, Teiji |e verfasserin |4 aut | |
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