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A prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study

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Main Authors: Chi, Xu, Lei, Zheng, Yicheng, Jiang
Format: Book
Language:English
Published: Springer 2023
Subjects:
acute respiratory distress syndrome
Online Access:https://link.springer.com/article/10.1186/s12890-023-02365-z
https://dlib.phenikaa-uni.edu.vn/handle/PNK/6958
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spelling oai:localhost:PNK-69582023-03-16T09:06:04Z A prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study Chi, Xu Lei, Zheng Yicheng, Jiang acute respiratory distress syndrome acute respiratory distress syndrome CC BY The risk of death in sepsis patients with acute respiratory distress syndrome (ARDS) was as high as 20–50%. Few studies focused on the risk identification of ARDS among sepsis patients. This study aimed to develop and validate a nomogram to predict the ARDS risk in sepsis patients based on the Medical Information Mart for Intensive Care IV database. 2023-03-16T09:06:04Z 2023-03-16T09:06:04Z 2023 Book https://link.springer.com/article/10.1186/s12890-023-02365-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/6958 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic acute respiratory distress syndrome
acute respiratory distress syndrome
spellingShingle acute respiratory distress syndrome
acute respiratory distress syndrome
Chi, Xu
Lei, Zheng
Yicheng, Jiang
A prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study
description CC BY
format Book
author Chi, Xu
Lei, Zheng
Yicheng, Jiang
author_facet Chi, Xu
Lei, Zheng
Yicheng, Jiang
author_sort Chi, Xu
title A prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study
title_short A prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study
title_full A prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study
title_fullStr A prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study
title_full_unstemmed A prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study
title_sort prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1186/s12890-023-02365-z
https://dlib.phenikaa-uni.edu.vn/handle/PNK/6958
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score 8.881002

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