Drivers of mortality in COVID ARDS depend on patient sub-type

急性呼吸窘迫综合征 医学 队列 回顾性队列研究 急性呼吸窘迫 重症监护医学 2019年冠状病毒病(COVID-19) 队列研究 急诊医学 内科学 疾病 传染病(医学专业)
作者
Helen Cheyne,Amir Gandomi,Shahrzad Hosseini Vajargah,Victoria M. Catterson,Travis Mackoy,Lauren McCullagh,Gabriel Musso,Negin Hajizadeh
出处
期刊:Computers in Biology and Medicine [Elsevier BV]
卷期号:166: 107483-107483 被引量:1
标识
DOI:10.1016/j.compbiomed.2023.107483
摘要

The most common cause of death in people with COVID-19 is Acute Respiratory Distress Syndrome (ARDS). Prior studies have demonstrated that ARDS is a heterogeneous syndrome and have identified ARDS sub-types (phenoclusters). However, non-COVID-19 ARDS phenoclusters do not clearly apply to COVID-19 ARDS patients. In this retrospective cohort study, we implemented an iterative approach, combining supervised and unsupervised machine learning methodologies, to identify clinically relevant COVID-19 ARDS phenoclusters, as well as characteristics that are predictive of the outcome for each phenocluster. To this end, we applied a supervised model to identify risk factors for hospital mortality for each phenocluster and compared these between phenoclusters and the entire cohort. We trained the models using a comprehensive, preprocessed dataset of 2,864 hospitalized COVID-19 ARDS patients. Our research demonstrates that the risk factors predicting mortality in the overall cohort of COVID-19 ARDS may not necessarily apply to specific phenoclusters. Additionally, some risk factors increase the risk of hospital mortality in some phenoclusters but decrease mortality in others. These phenocluster-specific risk factors would not have been observed with a single predictive model. Heterogeneity in phenoclusters of COVID-19 ARDS as well as the drivers of mortality may partially explain challenges in finding effective treatments for all patients with ARDS.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
慕容冷之发布了新的文献求助10
3秒前
3秒前
可cabd完成签到,获得积分10
3秒前
小马的可爱老婆完成签到,获得积分10
4秒前
海白完成签到,获得积分10
4秒前
认真的飞扬完成签到,获得积分10
4秒前
墨染樱飞完成签到 ,获得积分10
7秒前
ont-tnt发布了新的文献求助10
7秒前
谦让小蚂蚁完成签到,获得积分10
7秒前
7秒前
7秒前
Michelle完成签到,获得积分10
8秒前
海白发布了新的文献求助10
8秒前
8秒前
tesla完成签到,获得积分10
10秒前
SciGPT应助体贴凌柏采纳,获得10
10秒前
慎二完成签到 ,获得积分10
10秒前
12秒前
慕容冷之完成签到,获得积分10
12秒前
12秒前
leo发布了新的文献求助10
13秒前
ont-tnt完成签到,获得积分10
13秒前
sxd完成签到,获得积分10
14秒前
Daisy完成签到 ,获得积分10
14秒前
嘉1612完成签到,获得积分10
15秒前
15秒前
科研通AI2S应助angrymax采纳,获得10
15秒前
落尘发布了新的文献求助10
16秒前
学不懂数学应助小王采纳,获得10
16秒前
量子星尘发布了新的文献求助10
16秒前
ROOKIE完成签到,获得积分10
17秒前
17秒前
阿胡发布了新的文献求助10
18秒前
18秒前
SYLH应助wodetaiyangLLL采纳,获得10
19秒前
loey完成签到,获得积分10
19秒前
等待的音响完成签到,获得积分10
19秒前
19秒前
孙非完成签到,获得积分10
19秒前
江小鱼在查文献完成签到,获得积分10
20秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038388
求助须知:如何正确求助?哪些是违规求助? 3576106
关于积分的说明 11374447
捐赠科研通 3305798
什么是DOI,文献DOI怎么找? 1819322
邀请新用户注册赠送积分活动 892672
科研通“疑难数据库(出版商)”最低求助积分说明 815029