Association between a four-parameter inflammatory index and all-cause mortality in critical ill patients with non-traumatic subarachnoid hemorrhage: a retrospective analysis of the MIMIC-IV database (2012-2019)

医学 重症监护室 倾向得分匹配 蛛网膜下腔出血 比例危险模型 内科学 回顾性队列研究 人口 危险系数 混淆 创伤性脑损伤 冲程(发动机) 生存分析 机械工程 环境卫生 精神科 工程类 置信区间
作者
Yongwei Huang,Ye Zhang,Zongping Li,Xiao-Shuang Yin
出处
期刊:Frontiers in Immunology [Frontiers Media]
卷期号:14 被引量:5
标识
DOI:10.3389/fimmu.2023.1235266
摘要

Non-traumatic subarachnoid hemorrhage (SAH), primarily due to the rupture of intracranial aneurysms, contributes significantly to the global stroke population. A novel biomarker, pan-immune-inflammation value (PIV) or called the aggregate index of systemic inflammation (AISI), linked to progression-free survival and overall survival in non-small-cell lung cancer and mortality in Coronavirus Disease 2019 (COVID-19) patients, has surfaced recently. Its role in non-traumatic SAH patients, however, remains under-researched. This study aims to determine the relationship between PIV and all-cause mortality in non-traumatic SAH patients.A retrospective analysis was conducted using data from the Medical Information Mart for Intensive Care (MIMIC-IV) database to examine the association between PIV and all-cause mortality in critically ill patients with non-traumatic SAH. PIV measurements were collected at Intensive Care Unit (ICU) admission, and several mortality measures were examined. To control for potential confounding effects, a 1:1 propensity score matching (PSM) method was applied. The optimal PIV cutoff value was identified as 1362.45 using X-tile software that is often used to calculate the optimal cut-off values in survival analysis and continuous data of medical or epidemiological research. The relationship between PIV and short- and long-term all-cause mortality was analyzed using a multivariate Cox proportional hazard regression model and Kaplan-Meier (K-M) survival curve analysis. Interaction and subgroup analyses were also carried out.The study included 774 non-traumatic SAH patients. After PSM, 241 pairs of score-matched patients were generated. The Cox proportional hazard model, adjusted for potential confounders, found a high PIV (≥ 1362.45) independently associated with 90-day all-cause mortality both pre- (hazard ratio [HR]: 1.67; 95% confidence intervals (CI): 1.05-2.65; P = 0.030) and post-PSM (HR: 1.58; 95% CI: 1.14-2.67; P = 0.042). K-M survival curves revealed lower 90-day survival rates in patients with PIV ≥ 1362.45 before (31.1% vs. 16.1%%, P < 0.001) and after PSM (68.9% vs. 80.9%, P < 0.001). Similarly, elevated PIV were associated with increased risk of ICU (pre-PSM: HR: 2.10; 95% CI: 1.12-3.95; P = 0.02; post-PSM: HR: 2.33; 95% CI: 1.11-4.91; P = 0.016), in-hospital (pre-PSM: HR: 1.91; 95% CI: 1.12-3.26; P = 0.018; post-PSM: 2.06; 95% CI: 1.10-3.84; P = 0.034), 30-day (pre-PSM: HR: 1.69; 95% CI: 1.01-2.82; P = 0.045; post-PSM: 1.66; 95% CI: 1.11-2.97; P = 0.047), and 1-year (pre-PSM: HR: 1.58; 95% CI: 1.04-2.40; P = 0.032; post-PSM: 1.56; 95% CI: 1.10-2.53; P = 0.044) all-cause mortality. The K-M survival curves confirmed lower survival rates in patients with higher PIV both pre- and post PSM for ICU (pre-PSM: 18.3% vs. 8.4%, P < 0.001; post-PSM:81.7 vs. 91.3%, P < 0.001), in-hospital (pre-PSM: 25.3% vs. 12.8%, P < 0.001; post-PSM: 75.1 vs. 88.0%, P < 0.001), 30-day (pre-PSM: 24.9% vs. 11.4%, P < 0.001; post-PSM:74.7 vs. 86.3%, P < 0.001), and 1-year (pre-PSM: 36.9% vs. 20.8%, P < 0.001; P = 0.02; post-PSM: 63.1 vs. 75.1%, P < 0.001) all-cause mortality. Stratified analyses indicated that the relationship between PIV and all-cause mortality varied across different subgroups.In critically ill patients suffering from non-traumatic SAH, an elevated PIV upon admission correlated with a rise in all-cause mortality at various stages, including ICU, in-hospital, the 30-day, 90-day, and 1-year mortality, solidifying its position as an independent mortality risk determinant. This study represents an attempt to bridge the current knowledge gap and to provide a more nuanced understanding of the role of inflammation-based biomarkers in non-traumatic SAH. Nevertheless, to endorse the predictive value of PIV for prognosticating outcomes in non-traumatic SAH patients, additional prospective case-control studies are deemed necessary.
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
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
善学以致用应助大喵采纳,获得10
1秒前
1秒前
jinjinshan发布了新的文献求助10
2秒前
科研通AI2S应助mutongchen采纳,获得10
2秒前
月牙儿完成签到,获得积分10
3秒前
loong发布了新的文献求助10
4秒前
贰鸟应助shuaishuyi采纳,获得10
7秒前
8秒前
酷波er应助loong采纳,获得10
9秒前
搜集达人应助肖珂采纳,获得10
10秒前
jinjinshan完成签到,获得积分10
11秒前
典雅的觅儿完成签到,获得积分10
11秒前
大喵发布了新的文献求助10
12秒前
12秒前
莉莉娅完成签到 ,获得积分10
14秒前
一丁雨完成签到,获得积分10
15秒前
15秒前
ll完成签到,获得积分10
16秒前
自由的梦露完成签到,获得积分10
16秒前
绿泡泡发布了新的文献求助10
17秒前
莉莉娅关注了科研通微信公众号
17秒前
17秒前
18秒前
J.关闭了J.文献求助
18秒前
TT木木发布了新的文献求助10
21秒前
孤独的大灰狼完成签到 ,获得积分10
22秒前
酷波er应助乂贰ZERO叁采纳,获得10
22秒前
24秒前
26秒前
TTTaT完成签到,获得积分10
26秒前
在水一方应助泥嚎采纳,获得10
26秒前
悟空应助开心岩采纳,获得50
27秒前
小龙完成签到,获得积分10
27秒前
mutongchen完成签到,获得积分10
27秒前
然大宝发布了新的文献求助10
28秒前
28秒前
麦子发布了新的文献求助10
29秒前
29秒前
29秒前
yufei完成签到,获得积分20
30秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
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 3989797
求助须知:如何正确求助?哪些是违规求助? 3531910
关于积分的说明 11255394
捐赠科研通 3270563
什么是DOI,文献DOI怎么找? 1805008
邀请新用户注册赠送积分活动 882157
科研通“疑难数据库(出版商)”最低求助积分说明 809190