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Total severity score and age predict long-term hospitalization in COVID-19 pneumonia
BACKGROUND: Severe COVID-19 pneumonia implies increased oxygen demands and length of hospitalization (LOS). We aimed to assess a possible correlation between LOS and COVID-19 patients' clinical laboratory data of admission, including the total severity score (TSS) from chest computed tomography...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157639/ https://www.ncbi.nlm.nih.gov/pubmed/37153106 http://dx.doi.org/10.3389/fmed.2023.1103701 |
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author | Nasoufidou, Athina Kavelidou, Marianthi Griva, Theodora Melikidou, Eleni Maskalidis, Charalampos Machaira, Konstantina Nikolaidou, Barbara |
author_facet | Nasoufidou, Athina Kavelidou, Marianthi Griva, Theodora Melikidou, Eleni Maskalidis, Charalampos Machaira, Konstantina Nikolaidou, Barbara |
author_sort | Nasoufidou, Athina |
collection | PubMed |
description | BACKGROUND: Severe COVID-19 pneumonia implies increased oxygen demands and length of hospitalization (LOS). We aimed to assess a possible correlation between LOS and COVID-19 patients' clinical laboratory data of admission, including the total severity score (TSS) from chest computed tomography (CT). METHODS: Data were assessed retrospectively at the General Hospital “Agios Pavlos” in Greece. Clinical laboratory data, TSS, and LOS were recorded. RESULTS: A total of 317 patients, 136 women and 181 men, with a mean age of 66.58 ± 16.02 years were studied. Significant comorbidities were hypertension (56.5%), dyslipidemia (33.8%), type 2 diabetes mellitus (22.7%), coronary heart disease (12.9%), underlying pulmonary disease (10.1%), and malignancy (4.4%). Inpatient time was related to age (p < 0.001), TSS (p < 0.001), time from symptom onset to hospitalization (p = 0.006), inhaled oxygen fraction (p < 0.001), fibrinogen (p = 0.024), d-dimers (p < 0.001), and C-reactive protein (p = 0.025), as well as a history of hypertension (p < 0.001) and type 2 diabetes mellitus (p < 0.008). The multivariate analysis showed a significant association of the LOS with age (p < 0.001) and TSS (p < 0.001) independent of the above-mentioned factors. CONCLUSION: Early identification of disease severity using the TSS and patients' age could be useful for inpatient resource allocation and for maintaining vigilance for those requiring long-term hospitalizations. |
format | Online Article Text |
id | pubmed-10157639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101576392023-05-05 Total severity score and age predict long-term hospitalization in COVID-19 pneumonia Nasoufidou, Athina Kavelidou, Marianthi Griva, Theodora Melikidou, Eleni Maskalidis, Charalampos Machaira, Konstantina Nikolaidou, Barbara Front Med (Lausanne) Medicine BACKGROUND: Severe COVID-19 pneumonia implies increased oxygen demands and length of hospitalization (LOS). We aimed to assess a possible correlation between LOS and COVID-19 patients' clinical laboratory data of admission, including the total severity score (TSS) from chest computed tomography (CT). METHODS: Data were assessed retrospectively at the General Hospital “Agios Pavlos” in Greece. Clinical laboratory data, TSS, and LOS were recorded. RESULTS: A total of 317 patients, 136 women and 181 men, with a mean age of 66.58 ± 16.02 years were studied. Significant comorbidities were hypertension (56.5%), dyslipidemia (33.8%), type 2 diabetes mellitus (22.7%), coronary heart disease (12.9%), underlying pulmonary disease (10.1%), and malignancy (4.4%). Inpatient time was related to age (p < 0.001), TSS (p < 0.001), time from symptom onset to hospitalization (p = 0.006), inhaled oxygen fraction (p < 0.001), fibrinogen (p = 0.024), d-dimers (p < 0.001), and C-reactive protein (p = 0.025), as well as a history of hypertension (p < 0.001) and type 2 diabetes mellitus (p < 0.008). The multivariate analysis showed a significant association of the LOS with age (p < 0.001) and TSS (p < 0.001) independent of the above-mentioned factors. CONCLUSION: Early identification of disease severity using the TSS and patients' age could be useful for inpatient resource allocation and for maintaining vigilance for those requiring long-term hospitalizations. Frontiers Media S.A. 2023-04-12 /pmc/articles/PMC10157639/ /pubmed/37153106 http://dx.doi.org/10.3389/fmed.2023.1103701 Text en Copyright © 2023 Nasoufidou, Kavelidou, Griva, Melikidou, Maskalidis, Machaira and Nikolaidou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Nasoufidou, Athina Kavelidou, Marianthi Griva, Theodora Melikidou, Eleni Maskalidis, Charalampos Machaira, Konstantina Nikolaidou, Barbara Total severity score and age predict long-term hospitalization in COVID-19 pneumonia |
title | Total severity score and age predict long-term hospitalization in COVID-19 pneumonia |
title_full | Total severity score and age predict long-term hospitalization in COVID-19 pneumonia |
title_fullStr | Total severity score and age predict long-term hospitalization in COVID-19 pneumonia |
title_full_unstemmed | Total severity score and age predict long-term hospitalization in COVID-19 pneumonia |
title_short | Total severity score and age predict long-term hospitalization in COVID-19 pneumonia |
title_sort | total severity score and age predict long-term hospitalization in covid-19 pneumonia |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157639/ https://www.ncbi.nlm.nih.gov/pubmed/37153106 http://dx.doi.org/10.3389/fmed.2023.1103701 |
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