The Nonlinear Relationship Between Temperature and Prognosis in Sepsis-induced Coagulopathy Patients: A Retrospective Cohort Study from MIMIC-IV Database

医学 凝血病 内科学 回顾性队列研究 败血症 多元分析 子群分析 胃肠病学 数据库 置信区间 计算机科学
作者
Guojun Chen,Tianen Zhou,Jingtao Xu,Qiaohua Hu,Jun Jiang,Weigan Xu
出处
期刊:Western Journal of Emergency Medicine [Western Journal of Emergency Medicine]
卷期号:25 (5)
标识
DOI:10.5811/westjem.18589
摘要

Background: The prognostic value of body temperature in sepsis-induced coagulopathy (SIC) remains unclear. In this study we aimed to investigate the association between temperature and mortality among SIC patients. Methods: We analyzed data for 9,860 SIC patients from an intensive care database. Patients were categorized by maximum temperature in the first 24 hours into the following: ≤36.0°C; 36.0–37.0°C; 37.0–38.0°C; 38.0–39.0°C; and ≥39.0°C. The primary outcome was 28-day mortality. We used multivariate regression to analyze the temperature-mortality association. Results: The 37.0–38.0°C, 38.0–39.0°C and ≥39.0°C groups correlated with lower 28-day mortality (adjusted HR 0.70, 0.76 and 0.72, respectively), while the <36.0°C group correlated with higher mortality compared to the 36.0–37.0°C group (adjusted HR 2.60). A nonlinear relationship was observed between temperature and mortality. Subgroup analysis found no effect modification except in cerebrovascular disease. Conclusion: A body temperature in the range of 37.0–38.0°C was associated with a significantly lower mortality compared to the normal temperature (36.0–37.0°C) group. Additionally, a gradual but statistically insignificant increase in mortality risk was observed when body temperature exceeded 38.0°C. Further research should validate these findings and elucidate involved mechanisms, especially in cerebrovascular disease subgroups.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
Kk发布了新的文献求助10
1秒前
1秒前
3秒前
青荷完成签到,获得积分10
3秒前
5秒前
小武哥完成签到 ,获得积分10
6秒前
ding应助Kk采纳,获得10
8秒前
an完成签到,获得积分10
8秒前
啦啦啦发布了新的文献求助10
9秒前
威武怀蕊发布了新的文献求助10
9秒前
10秒前
12秒前
隐形曼青应助黙宇循光采纳,获得10
13秒前
14秒前
一粒米发布了新的文献求助40
15秒前
彭于晏应助zz采纳,获得10
15秒前
15秒前
16秒前
慕青应助迅速谷冬采纳,获得10
18秒前
19秒前
19秒前
20秒前
20秒前
Colin关注了科研通微信公众号
21秒前
21秒前
T012发布了新的文献求助10
23秒前
黙宇循光发布了新的文献求助10
24秒前
彭于晏应助叶95采纳,获得10
26秒前
26秒前
xzDoctor发布了新的文献求助10
26秒前
29秒前
秀丽的正豪完成签到 ,获得积分10
29秒前
zhangxinan完成签到,获得积分10
29秒前
30秒前
T012完成签到,获得积分10
31秒前
搜集达人应助飞不动采纳,获得10
31秒前
蜂蜜柚子完成签到 ,获得积分10
34秒前
迅速谷冬发布了新的文献求助10
35秒前
云阳完成签到 ,获得积分10
35秒前
bkagyin应助啦啦啦采纳,获得10
36秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3136744
求助须知:如何正确求助?哪些是违规求助? 2787779
关于积分的说明 7783154
捐赠科研通 2443843
什么是DOI,文献DOI怎么找? 1299466
科研通“疑难数据库(出版商)”最低求助积分说明 625457
版权声明 600954