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A Simple-to-Use Web-Based Calculator for Survival Prediction in Acute Respiratory Distress Syndrome
Background: The aim of this study was to construct and validate a simple-to-use model to predict the survival of patients with acute respiratory distress syndrome. Methods: A total of 197 patients with acute respiratory distress syndrome were selected from the Dryad Digital Repository. All eligible...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921740/ https://www.ncbi.nlm.nih.gov/pubmed/33665197 http://dx.doi.org/10.3389/fmed.2021.604694 |
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author | Liu, Yong Liu, Jian Huang, Liang |
author_facet | Liu, Yong Liu, Jian Huang, Liang |
author_sort | Liu, Yong |
collection | PubMed |
description | Background: The aim of this study was to construct and validate a simple-to-use model to predict the survival of patients with acute respiratory distress syndrome. Methods: A total of 197 patients with acute respiratory distress syndrome were selected from the Dryad Digital Repository. All eligible individuals were randomly stratified into the training set (n=133) and the validation set (n=64) as 2: 1 ratio. LASSO regression analysis was used to select the optimal predictors, and receiver operating characteristic and calibration curves were used to evaluate accuracy and discrimination of the model. Clinical usefulness of the model was also assessed using decision curve analysis and Kaplan-Meier analysis. Results: Age, albumin, platelet count, PaO(2)/FiO(2), lactate dehydrogenase, high-resolution computed tomography score, and etiology were identified as independent prognostic factors based on LASSO regression analysis; these factors were integrated for the construction of the nomogram. Results of calibration plots, decision curve analysis, and receiver operating characteristic analysis showed that this model has good predictive ability of patient survival in acute respiratory distress syndrome. Moreover, a significant difference in the 28-day survival was shown between the patients stratified into different risk groups (P < 0.001). For convenient application, we also established a web-based calculator (https://huangl.shinyapps.io/ARDSprognosis/). Conclusions: We satisfactorily constructed a simple-to-use model based on seven relevant factors to predict survival and prognosis of patients with acute respiratory distress syndrome. This model can aid personalized treatment and clinical decision-making. |
format | Online Article Text |
id | pubmed-7921740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79217402021-03-03 A Simple-to-Use Web-Based Calculator for Survival Prediction in Acute Respiratory Distress Syndrome Liu, Yong Liu, Jian Huang, Liang Front Med (Lausanne) Medicine Background: The aim of this study was to construct and validate a simple-to-use model to predict the survival of patients with acute respiratory distress syndrome. Methods: A total of 197 patients with acute respiratory distress syndrome were selected from the Dryad Digital Repository. All eligible individuals were randomly stratified into the training set (n=133) and the validation set (n=64) as 2: 1 ratio. LASSO regression analysis was used to select the optimal predictors, and receiver operating characteristic and calibration curves were used to evaluate accuracy and discrimination of the model. Clinical usefulness of the model was also assessed using decision curve analysis and Kaplan-Meier analysis. Results: Age, albumin, platelet count, PaO(2)/FiO(2), lactate dehydrogenase, high-resolution computed tomography score, and etiology were identified as independent prognostic factors based on LASSO regression analysis; these factors were integrated for the construction of the nomogram. Results of calibration plots, decision curve analysis, and receiver operating characteristic analysis showed that this model has good predictive ability of patient survival in acute respiratory distress syndrome. Moreover, a significant difference in the 28-day survival was shown between the patients stratified into different risk groups (P < 0.001). For convenient application, we also established a web-based calculator (https://huangl.shinyapps.io/ARDSprognosis/). Conclusions: We satisfactorily constructed a simple-to-use model based on seven relevant factors to predict survival and prognosis of patients with acute respiratory distress syndrome. This model can aid personalized treatment and clinical decision-making. Frontiers Media S.A. 2021-02-16 /pmc/articles/PMC7921740/ /pubmed/33665197 http://dx.doi.org/10.3389/fmed.2021.604694 Text en Copyright © 2021 Liu, Liu and Huang. 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 Liu, Yong Liu, Jian Huang, Liang A Simple-to-Use Web-Based Calculator for Survival Prediction in Acute Respiratory Distress Syndrome |
title | A Simple-to-Use Web-Based Calculator for Survival Prediction in Acute Respiratory Distress Syndrome |
title_full | A Simple-to-Use Web-Based Calculator for Survival Prediction in Acute Respiratory Distress Syndrome |
title_fullStr | A Simple-to-Use Web-Based Calculator for Survival Prediction in Acute Respiratory Distress Syndrome |
title_full_unstemmed | A Simple-to-Use Web-Based Calculator for Survival Prediction in Acute Respiratory Distress Syndrome |
title_short | A Simple-to-Use Web-Based Calculator for Survival Prediction in Acute Respiratory Distress Syndrome |
title_sort | simple-to-use web-based calculator for survival prediction in acute respiratory distress syndrome |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921740/ https://www.ncbi.nlm.nih.gov/pubmed/33665197 http://dx.doi.org/10.3389/fmed.2021.604694 |
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