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Trường DC Giá trịNgôn ngữ
dc.contributor.authorChi, Xu-
dc.contributor.authorLei, Zheng-
dc.contributor.authorYicheng, Jiang-
dc.date.accessioned2023-03-16T09:06:04Z-
dc.date.available2023-03-16T09:06:04Z-
dc.date.issued2023-
dc.identifier.urihttps://link.springer.com/article/10.1186/s12890-023-02365-z-
dc.identifier.urihttps://dlib.phenikaa-uni.edu.vn/handle/PNK/6958-
dc.descriptionCC BYvi
dc.description.abstractThe 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.isoenvi
dc.publisherSpringervi
dc.subjectacute respiratory distress syndromevi
dc.subjectacute respiratory distress syndromevi
dc.titleA prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort studyvi
dc.typeBookvi
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