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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chi, Xu | - |
dc.contributor.author | Lei, Zheng | - |
dc.contributor.author | Yicheng, Jiang | - |
dc.date.accessioned | 2023-03-16T09:06:04Z | - |
dc.date.available | 2023-03-16T09:06:04Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://link.springer.com/article/10.1186/s12890-023-02365-z | - |
dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/6958 | - |
dc.description | CC BY | vi |
dc.description.abstract | 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. | vi |
dc.language.iso | en | vi |
dc.publisher | Springer | vi |
dc.subject | acute respiratory distress syndrome | vi |
dc.subject | acute respiratory distress syndrome | vi |
dc.title | A prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study | vi |
dc.type | Book | vi |
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