Cargando…
Prognostic Accuracy of Early Warning Scores for Clinical Deterioration in Patients With COVID-19
Background: Early Warning Scores (EWS), including the National Early Warning Score 2 (NEWS2) and Modified NEWS (NEWS-C), have been recommended for triage decision in patients with COVID-19. However, the effectiveness of these EWS in COVID-19 has not been fully validated. The study aimed to investiga...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882600/ https://www.ncbi.nlm.nih.gov/pubmed/33598468 http://dx.doi.org/10.3389/fmed.2020.624255 |
_version_ | 1783651083450580992 |
---|---|
author | Su, Ying Ju, Min-jie Xie, Rong-cheng Yu, Shen-ji Zheng, Ji-li Ma, Guo-guang Liu, Kai Ma, Jie-fei Yu, Kai-huan Tu, Guo-wei Luo, Zhe |
author_facet | Su, Ying Ju, Min-jie Xie, Rong-cheng Yu, Shen-ji Zheng, Ji-li Ma, Guo-guang Liu, Kai Ma, Jie-fei Yu, Kai-huan Tu, Guo-wei Luo, Zhe |
author_sort | Su, Ying |
collection | PubMed |
description | Background: Early Warning Scores (EWS), including the National Early Warning Score 2 (NEWS2) and Modified NEWS (NEWS-C), have been recommended for triage decision in patients with COVID-19. However, the effectiveness of these EWS in COVID-19 has not been fully validated. The study aimed to investigate the predictive value of EWS to detect clinical deterioration in patients with COVID-19. Methods: Between February 7, 2020 and February 17, 2020, patients confirmed with COVID-19 were screened for this study. The outcomes were early deterioration of respiratory function (EDRF) and need for intensive respiratory support (IRS) during the treatment process. The EDRF was defined as changes in the respiratory component of the sequential organ failure assessment (SOFA) score at day 3 (ΔSOFA(resp) = SOFA (resp) at day 3–SOFA(resp) on admission), in which the positive value reflects clinical deterioration. The IRS was defined as the use of high flow nasal cannula oxygen therapy, noninvasive or invasive mechanical ventilation. The performances of EWS including NEWS, NEWS 2, NEWS-C, Modified Early Warning Scores (MEWS), Hamilton Early Warning Scores (HEWS), and quick sepsis-related organ failure assessment (qSOFA) for predicting EDRF and IRS were compared using the area under the receiver operating characteristic curve (AUROC). Results: A total of 116 patients were included in this study. Of them, 27 patients (23.3%) developed EDRF and 24 patients (20.7%) required IRS. Among these EWS, NEWS-C was the most accurate scoring system for predicting EDRF [AUROC 0.79 (95% CI, 0.69–0.89)] and IRS [AUROC 0.89 (95% CI, 0.82–0.96)], while NEWS 2 had the lowest accuracy in predicting EDRF [AUROC 0.59 (95% CI, 0.46–0.720)] and IRS [AUROC 0.69 (95% CI, 0.57–0.81)]. A NEWS-C ≥ 9 had a sensitivity of 59.3% and a specificity of 85.4% for predicting EDRF. For predicting IRS, a NEWS-C ≥ 9 had a sensitivity of 75% and a specificity of 88%. Conclusions: The NEWS-C was the most accurate scoring system among common EWS to identify patients with COVID-19 at risk for EDRF and need for IRS. The NEWS-C could be recommended as an early triage tool for patients with COVID-19. |
format | Online Article Text |
id | pubmed-7882600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78826002021-02-16 Prognostic Accuracy of Early Warning Scores for Clinical Deterioration in Patients With COVID-19 Su, Ying Ju, Min-jie Xie, Rong-cheng Yu, Shen-ji Zheng, Ji-li Ma, Guo-guang Liu, Kai Ma, Jie-fei Yu, Kai-huan Tu, Guo-wei Luo, Zhe Front Med (Lausanne) Medicine Background: Early Warning Scores (EWS), including the National Early Warning Score 2 (NEWS2) and Modified NEWS (NEWS-C), have been recommended for triage decision in patients with COVID-19. However, the effectiveness of these EWS in COVID-19 has not been fully validated. The study aimed to investigate the predictive value of EWS to detect clinical deterioration in patients with COVID-19. Methods: Between February 7, 2020 and February 17, 2020, patients confirmed with COVID-19 were screened for this study. The outcomes were early deterioration of respiratory function (EDRF) and need for intensive respiratory support (IRS) during the treatment process. The EDRF was defined as changes in the respiratory component of the sequential organ failure assessment (SOFA) score at day 3 (ΔSOFA(resp) = SOFA (resp) at day 3–SOFA(resp) on admission), in which the positive value reflects clinical deterioration. The IRS was defined as the use of high flow nasal cannula oxygen therapy, noninvasive or invasive mechanical ventilation. The performances of EWS including NEWS, NEWS 2, NEWS-C, Modified Early Warning Scores (MEWS), Hamilton Early Warning Scores (HEWS), and quick sepsis-related organ failure assessment (qSOFA) for predicting EDRF and IRS were compared using the area under the receiver operating characteristic curve (AUROC). Results: A total of 116 patients were included in this study. Of them, 27 patients (23.3%) developed EDRF and 24 patients (20.7%) required IRS. Among these EWS, NEWS-C was the most accurate scoring system for predicting EDRF [AUROC 0.79 (95% CI, 0.69–0.89)] and IRS [AUROC 0.89 (95% CI, 0.82–0.96)], while NEWS 2 had the lowest accuracy in predicting EDRF [AUROC 0.59 (95% CI, 0.46–0.720)] and IRS [AUROC 0.69 (95% CI, 0.57–0.81)]. A NEWS-C ≥ 9 had a sensitivity of 59.3% and a specificity of 85.4% for predicting EDRF. For predicting IRS, a NEWS-C ≥ 9 had a sensitivity of 75% and a specificity of 88%. Conclusions: The NEWS-C was the most accurate scoring system among common EWS to identify patients with COVID-19 at risk for EDRF and need for IRS. The NEWS-C could be recommended as an early triage tool for patients with COVID-19. Frontiers Media S.A. 2021-02-01 /pmc/articles/PMC7882600/ /pubmed/33598468 http://dx.doi.org/10.3389/fmed.2020.624255 Text en Copyright © 2021 Su, Ju, Xie, Yu, Zheng, Ma, Liu, Ma, Yu, Tu and Luo. 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 Su, Ying Ju, Min-jie Xie, Rong-cheng Yu, Shen-ji Zheng, Ji-li Ma, Guo-guang Liu, Kai Ma, Jie-fei Yu, Kai-huan Tu, Guo-wei Luo, Zhe Prognostic Accuracy of Early Warning Scores for Clinical Deterioration in Patients With COVID-19 |
title | Prognostic Accuracy of Early Warning Scores for Clinical Deterioration in Patients With COVID-19 |
title_full | Prognostic Accuracy of Early Warning Scores for Clinical Deterioration in Patients With COVID-19 |
title_fullStr | Prognostic Accuracy of Early Warning Scores for Clinical Deterioration in Patients With COVID-19 |
title_full_unstemmed | Prognostic Accuracy of Early Warning Scores for Clinical Deterioration in Patients With COVID-19 |
title_short | Prognostic Accuracy of Early Warning Scores for Clinical Deterioration in Patients With COVID-19 |
title_sort | prognostic accuracy of early warning scores for clinical deterioration in patients with covid-19 |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882600/ https://www.ncbi.nlm.nih.gov/pubmed/33598468 http://dx.doi.org/10.3389/fmed.2020.624255 |
work_keys_str_mv | AT suying prognosticaccuracyofearlywarningscoresforclinicaldeteriorationinpatientswithcovid19 AT juminjie prognosticaccuracyofearlywarningscoresforclinicaldeteriorationinpatientswithcovid19 AT xierongcheng prognosticaccuracyofearlywarningscoresforclinicaldeteriorationinpatientswithcovid19 AT yushenji prognosticaccuracyofearlywarningscoresforclinicaldeteriorationinpatientswithcovid19 AT zhengjili prognosticaccuracyofearlywarningscoresforclinicaldeteriorationinpatientswithcovid19 AT maguoguang prognosticaccuracyofearlywarningscoresforclinicaldeteriorationinpatientswithcovid19 AT liukai prognosticaccuracyofearlywarningscoresforclinicaldeteriorationinpatientswithcovid19 AT majiefei prognosticaccuracyofearlywarningscoresforclinicaldeteriorationinpatientswithcovid19 AT yukaihuan prognosticaccuracyofearlywarningscoresforclinicaldeteriorationinpatientswithcovid19 AT tuguowei prognosticaccuracyofearlywarningscoresforclinicaldeteriorationinpatientswithcovid19 AT luozhe prognosticaccuracyofearlywarningscoresforclinicaldeteriorationinpatientswithcovid19 |