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Applicability of MuLBSTA scoring system as diagnostic and prognostic role in early warning of severe COVID-19
To explore the applicability of MuLBSTA Score in COVID-19 patients, a retrospective analysis was performed on 330 cases of COVID-19 patients in Southeast Hospital of Xiaogan City, Hubei Province. The clinical characteristics of COVID-19 patients were described and multilobe infiltrate in CT, bacteri...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758722/ https://www.ncbi.nlm.nih.gov/pubmed/33347962 http://dx.doi.org/10.1016/j.micpath.2020.104706 |
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author | Ma, Bei Gong, Jun Yang, Yu Yao, Xuan Deng, Xiaoqin Chen, Xi |
author_facet | Ma, Bei Gong, Jun Yang, Yu Yao, Xuan Deng, Xiaoqin Chen, Xi |
author_sort | Ma, Bei |
collection | PubMed |
description | To explore the applicability of MuLBSTA Score in COVID-19 patients, a retrospective analysis was performed on 330 cases of COVID-19 patients in Southeast Hospital of Xiaogan City, Hubei Province. The clinical characteristics of COVID-19 patients were described and multilobe infiltrate in CT, bacterial infection, lymphocyte count, smoke in history, history of hypertension, and age distribution in the population of mild and severe patients were analyzed. All included patients were scored according to the MuLBSTA early warning scoring system and its efficacy in early warning of severe symptoms was analyzed. CT feature of infiltration changes on multiple lobes, the absolute value of lymphocyte count of less than 0.8 × 10(9), accompanied by bacterial infection, history of smoking, history of hypertension, and an age of greater than 60 years old were all statistically significant factors in patients with severe COVID-19. ROC curve analysis indicated that the sensitivity, specificity and accuracy of the early warning system were 0.651, 0.954 and 0.93, respectively. The MuLBSTA Score has a good early warning effect on severe COVID-19 patients. |
format | Online Article Text |
id | pubmed-7758722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77587222020-12-28 Applicability of MuLBSTA scoring system as diagnostic and prognostic role in early warning of severe COVID-19 Ma, Bei Gong, Jun Yang, Yu Yao, Xuan Deng, Xiaoqin Chen, Xi Microb Pathog Article To explore the applicability of MuLBSTA Score in COVID-19 patients, a retrospective analysis was performed on 330 cases of COVID-19 patients in Southeast Hospital of Xiaogan City, Hubei Province. The clinical characteristics of COVID-19 patients were described and multilobe infiltrate in CT, bacterial infection, lymphocyte count, smoke in history, history of hypertension, and age distribution in the population of mild and severe patients were analyzed. All included patients were scored according to the MuLBSTA early warning scoring system and its efficacy in early warning of severe symptoms was analyzed. CT feature of infiltration changes on multiple lobes, the absolute value of lymphocyte count of less than 0.8 × 10(9), accompanied by bacterial infection, history of smoking, history of hypertension, and an age of greater than 60 years old were all statistically significant factors in patients with severe COVID-19. ROC curve analysis indicated that the sensitivity, specificity and accuracy of the early warning system were 0.651, 0.954 and 0.93, respectively. The MuLBSTA Score has a good early warning effect on severe COVID-19 patients. Elsevier Ltd. 2021-01 2020-12-24 /pmc/articles/PMC7758722/ /pubmed/33347962 http://dx.doi.org/10.1016/j.micpath.2020.104706 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ma, Bei Gong, Jun Yang, Yu Yao, Xuan Deng, Xiaoqin Chen, Xi Applicability of MuLBSTA scoring system as diagnostic and prognostic role in early warning of severe COVID-19 |
title | Applicability of MuLBSTA scoring system as diagnostic and prognostic role in early warning of severe COVID-19 |
title_full | Applicability of MuLBSTA scoring system as diagnostic and prognostic role in early warning of severe COVID-19 |
title_fullStr | Applicability of MuLBSTA scoring system as diagnostic and prognostic role in early warning of severe COVID-19 |
title_full_unstemmed | Applicability of MuLBSTA scoring system as diagnostic and prognostic role in early warning of severe COVID-19 |
title_short | Applicability of MuLBSTA scoring system as diagnostic and prognostic role in early warning of severe COVID-19 |
title_sort | applicability of mulbsta scoring system as diagnostic and prognostic role in early warning of severe covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758722/ https://www.ncbi.nlm.nih.gov/pubmed/33347962 http://dx.doi.org/10.1016/j.micpath.2020.104706 |
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