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Performance of Two Risk-Stratification Models in Hospitalized Patients With Coronavirus Disease
Background: Despite an increase in the familiarity of the medical community with the epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19), there is presently a lack of rapid and effective risk stratification indicators to predict the poor clinical outcomes of COVID-19...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7457082/ https://www.ncbi.nlm.nih.gov/pubmed/32923449 http://dx.doi.org/10.3389/fmed.2020.00518 |
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author | Xu, Rong Hou, Keke Zhang, Kun Xu, Huayan Zhang, Na Fu, Hang Xie, Linjun Sun, Ran Wen, Lingyi Liu, Hui Yang, Zhigang Yang, Ming Guo, Yingkun |
author_facet | Xu, Rong Hou, Keke Zhang, Kun Xu, Huayan Zhang, Na Fu, Hang Xie, Linjun Sun, Ran Wen, Lingyi Liu, Hui Yang, Zhigang Yang, Ming Guo, Yingkun |
author_sort | Xu, Rong |
collection | PubMed |
description | Background: Despite an increase in the familiarity of the medical community with the epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19), there is presently a lack of rapid and effective risk stratification indicators to predict the poor clinical outcomes of COVID-19 especially in severe patients. Methods: In this retrospective single-center study, we included 117 cases confirmed with COVID-19. The clinical, laboratory, and imaging features were collected and analyzed during admission. The Multi-lobular infiltration, hypo-Lymphocytosis, Bacterial coinfection, Smoking history, hyper-Tension and Age (MuLBSTA) Score and Confusion, Urea, Respiratory rate, Blood pressure, Age 65 (CURB65) score were used to assess the death and intensive care unit (ICU) risks in all patients. Results: Among of all 117 hospitalized patients, 21 (17.9%) patients were admitted to the ICU care, and 5 (4.3%) patients were died. The median hospital stay was 12 (10–15) days. There were 18 patients with MuLBSTA score ≥ 12 points and were all of severe type. In severe type, ICU care and death patients, the proportion with MuLBSTA ≥ 12 points were greater than that of CURB65 score ≥ 3 points (severe type patients, 50 vs. 27.8%; ICU care, 61.9 vs. 19.0%; death, 100 vs. 40%). For the MuLBSTA score, the ROC curve showed good efficiency of diagnosis death (area under the curve [AUC], 0.956; cutoff value, 12; specificity, 89.5%; sensitivity, 100%) and ICU care (AUC, 0.875; cutoff value, 11; specificity, 91.7%; sensitivity, 71.4%). The K–M survival analysis showed that patients with MuLBSTA score ≥ 12 had higher risk of ICU (log-rank, P = 0.001) and high risk of death (log-rank, P = 0.000). Conclusions: The MuLBSTA score is valuable for risk stratification and could effectively screen high-risk patients at admission. The higher score at admission have higher risk of ICU care and death in patients infected with COVID. |
format | Online Article Text |
id | pubmed-7457082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74570822020-09-11 Performance of Two Risk-Stratification Models in Hospitalized Patients With Coronavirus Disease Xu, Rong Hou, Keke Zhang, Kun Xu, Huayan Zhang, Na Fu, Hang Xie, Linjun Sun, Ran Wen, Lingyi Liu, Hui Yang, Zhigang Yang, Ming Guo, Yingkun Front Med (Lausanne) Medicine Background: Despite an increase in the familiarity of the medical community with the epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19), there is presently a lack of rapid and effective risk stratification indicators to predict the poor clinical outcomes of COVID-19 especially in severe patients. Methods: In this retrospective single-center study, we included 117 cases confirmed with COVID-19. The clinical, laboratory, and imaging features were collected and analyzed during admission. The Multi-lobular infiltration, hypo-Lymphocytosis, Bacterial coinfection, Smoking history, hyper-Tension and Age (MuLBSTA) Score and Confusion, Urea, Respiratory rate, Blood pressure, Age 65 (CURB65) score were used to assess the death and intensive care unit (ICU) risks in all patients. Results: Among of all 117 hospitalized patients, 21 (17.9%) patients were admitted to the ICU care, and 5 (4.3%) patients were died. The median hospital stay was 12 (10–15) days. There were 18 patients with MuLBSTA score ≥ 12 points and were all of severe type. In severe type, ICU care and death patients, the proportion with MuLBSTA ≥ 12 points were greater than that of CURB65 score ≥ 3 points (severe type patients, 50 vs. 27.8%; ICU care, 61.9 vs. 19.0%; death, 100 vs. 40%). For the MuLBSTA score, the ROC curve showed good efficiency of diagnosis death (area under the curve [AUC], 0.956; cutoff value, 12; specificity, 89.5%; sensitivity, 100%) and ICU care (AUC, 0.875; cutoff value, 11; specificity, 91.7%; sensitivity, 71.4%). The K–M survival analysis showed that patients with MuLBSTA score ≥ 12 had higher risk of ICU (log-rank, P = 0.001) and high risk of death (log-rank, P = 0.000). Conclusions: The MuLBSTA score is valuable for risk stratification and could effectively screen high-risk patients at admission. The higher score at admission have higher risk of ICU care and death in patients infected with COVID. Frontiers Media S.A. 2020-08-14 /pmc/articles/PMC7457082/ /pubmed/32923449 http://dx.doi.org/10.3389/fmed.2020.00518 Text en Copyright © 2020 Xu, Hou, Zhang, Xu, Zhang, Fu, Xie, Sun, Wen, Liu, Yang, Yang and Guo. http://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 Xu, Rong Hou, Keke Zhang, Kun Xu, Huayan Zhang, Na Fu, Hang Xie, Linjun Sun, Ran Wen, Lingyi Liu, Hui Yang, Zhigang Yang, Ming Guo, Yingkun Performance of Two Risk-Stratification Models in Hospitalized Patients With Coronavirus Disease |
title | Performance of Two Risk-Stratification Models in Hospitalized Patients With Coronavirus Disease |
title_full | Performance of Two Risk-Stratification Models in Hospitalized Patients With Coronavirus Disease |
title_fullStr | Performance of Two Risk-Stratification Models in Hospitalized Patients With Coronavirus Disease |
title_full_unstemmed | Performance of Two Risk-Stratification Models in Hospitalized Patients With Coronavirus Disease |
title_short | Performance of Two Risk-Stratification Models in Hospitalized Patients With Coronavirus Disease |
title_sort | performance of two risk-stratification models in hospitalized patients with coronavirus disease |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7457082/ https://www.ncbi.nlm.nih.gov/pubmed/32923449 http://dx.doi.org/10.3389/fmed.2020.00518 |
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