Association between serum magnesium trajectory and in-hospital mortality in hospitalized patients with sepsis: an analysis of the MIMIC-IV database

败血症 危险系数 置信区间 重症监护室 比例危险模型 回顾性队列研究 医学 内科学 急诊医学 冶金 材料科学
作者
Xuan Xia,Huan Guo,Hongyu Sun
出处
期刊:Magnesium Research [John Libbey Eurotext]
卷期号:36 (3): 37-48 被引量:1
标识
DOI:10.1684/mrh.2023.0520
摘要

This study aimed to investigate the association between serum magnesium trajectory and risk of in-hospital mortality in intensive care unit (ICU) patients with sepsis. Adult sepsis patients who had complete data on serum magnesium at ICU admission (at 0, 12, 24, 36 and 48 hours after ICU admission) based the 2012-2019 Medical Information Mart for Intensive Care IV (MIMIC-IV) database were included in this retrospective cohort study. Serum magnesium trajectories were identified using K-means cluster analysis. The multivariable Cox proportional-hazards model was used to evaluate the association between magnesium level at different time points or magnesium trajectory and in-hospital mortality. A total of 2,270 patients with sepsis were enrolled, and in-hospital mortality occurred in 716 (31.54%). Three trajectories were identified: a high-level declining trajectory, normal-level stable trajectory, and low-level rising trajectory. Among the magnesium levels at different time points, a higher serum magnesium level only at ICU admission (0h) (hazard ratio [HR] = 1.13, 95% confidence interval [CI]: 1.03-1.23) was associated with an increased risk of in-hospital mortality. Compared with the normal-level stable trajectory group, patients in the low-level rising trajectory group (HR = 0.82, 95%CI: 0.70-0.97) had a reduced risk of in-hospital mortality, but no association with in-hospital mortality was found in patients in the high-level declining trajectory group (p=0.812). Conclusion: Sepsis patients with a low-level, rising magnesium trajectory may have a reduced risk of in-hospital mortality.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
刚刚
斯文败类应助wys采纳,获得10
刚刚
科目三应助大气早晨采纳,获得10
4秒前
5秒前
王明初完成签到,获得积分10
6秒前
翧礼完成签到,获得积分10
8秒前
8秒前
8秒前
like1994发布了新的文献求助10
10秒前
vanthuongbka发布了新的文献求助10
12秒前
12秒前
struggle完成签到 ,获得积分10
12秒前
13秒前
wys发布了新的文献求助10
13秒前
15秒前
16秒前
蓝天发布了新的文献求助10
16秒前
黄飚完成签到,获得积分10
16秒前
16秒前
阿龙完成签到,获得积分10
17秒前
17秒前
bkagyin应助科研通管家采纳,获得200
18秒前
英俊的铭应助科研通管家采纳,获得10
18秒前
lizishu应助科研通管家采纳,获得30
18秒前
李健应助科研通管家采纳,获得10
18秒前
CipherSage应助科研通管家采纳,获得30
18秒前
充电宝应助科研通管家采纳,获得10
18秒前
18秒前
华仔应助科研通管家采纳,获得10
18秒前
18秒前
18秒前
19秒前
丘比特应助科研通管家采纳,获得10
19秒前
wanci应助科研通管家采纳,获得10
19秒前
河南萌神应助科研通管家采纳,获得10
19秒前
烟花应助科研通管家采纳,获得10
19秒前
是俊生啊完成签到,获得积分10
19秒前
充电宝应助科研通管家采纳,获得10
19秒前
情怀应助科研通管家采纳,获得10
19秒前
烟花应助阿龙采纳,获得10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
AnnualResearch andConsultation Report of Panorama survey and Investment strategy onChinaIndustry 1000
Continuing Syntax 1000
Signals, Systems, and Signal Processing 610
简明药物化学习题答案 500
Quasi-Interpolation 400
脑电大模型与情感脑机接口研究--郑伟龙 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6275591
求助须知:如何正确求助?哪些是违规求助? 8095447
关于积分的说明 16922908
捐赠科研通 5345369
什么是DOI,文献DOI怎么找? 2841992
邀请新用户注册赠送积分活动 1819232
关于科研通互助平台的介绍 1676509