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Three subtypes of postoperative ARDS that showing different outcomes and responses to mechanical ventilation and fluid management: A machine learning and latent profile analysis

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收录情况： ◇ SCIE

作者：

单位： [1]Department of Emergency Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China [2]Department of Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China [3]Intensive Care Unit, People’s Hospital of Daye City, Daye, Hubei 435110, China

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关键词： ARDS Postoperative Latent profile analysis Subtypes Machine learning

摘要：

ARDS is a heterogeneous clinical syndrome, and operation and trauma are common indirect etiologies. The identification of postoperative ARDS subtypes may optimize individualized clinical management.To identify the subtypes of postoperative ARDS and explore the impact of therapy on outcomes.This retrospective study used data obtained from a database. Patients diagnosed with ARDS who underwent surgical procedures within 7 days were included in the study. Laboratory and clinical variables were used for latent profile analysis (LPA). XGBoost and multivariable logistic regression models were used to explore the association between therapy and outcomes.A total of 1065 patients were included. The LPA identified three subtypes of postoperative ARDS: Patients in profile 1 were mainly accepted neurosurgery, while those in profile 2 and 3 were treated with orthopedic and vascular or thoracic surgery, respectively. The XGBoost model effectively predicted mortality with an AUC of 0.935, which was higher than SOFA (0.622), APACHE 2 (0.629), SLIP (0.579), and SLIP-2 (0.550).This study identified three subtypes of postoperative ARDS with different clinical characteristics, mechanical support, and fluid resuscitation responses.Copyright © 2023. Published by Elsevier Inc.

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出版当年[2022]版：

大类 | 4 区医学

小类 | 3 区护理 4 区心脏和心血管系统 4 区呼吸系统

最新[2025]版：

大类 | 4 区医学

小类 | 3 区护理 4 区心脏和心血管系统 4 区呼吸系统

JCR分区：

出版当年[2021]版：

Q1 NURSING Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Q3 RESPIRATORY SYSTEM

最新[2023]版：

Q1 NURSING Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Q2 RESPIRATORY SYSTEM

影响因子： 2.4 最新[2023版] 2.4 最新五年平均 3.149 出版当年[2021版] 2.858 出版当年五年平均 2.21 出版前一年[2020版] 2.8 出版后一年[2022版]

第一作者：

第一作者单位： [1]Department of Emergency Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China [2]Department of Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

共同第一作者：

通讯作者：

通讯机构： [1]Department of Emergency Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China [2]Department of Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China [*1]Department of Emergency Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.

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