Geriatric Nutritional Risk Index and Risk of Mortality in Critically Ill Patients With Acute Kidney Injury: A Multicenter Cohort Study

医学 四分位间距 危险系数 置信区间 内科学 重症监护室 比例危险模型 急性肾损伤 多元分析 死亡风险 队列研究 重症监护医学
作者
Jiachuan Xiong,Zhikai Yu,Yinghui Huang,Ting He,Ke Yang,Jinghong Zhao
出处
期刊:Journal of Renal Nutrition [Elsevier]
卷期号:33 (5): 639-648 被引量:11
标识
DOI:10.1053/j.jrn.2023.06.004
摘要

Malnutrition is associated with adverse outcomes in acute or chronic diseases. However, the prediction value of the Geriatric Nutritional Risk Index (GNRI) in critically ill patients with acute kidney injury (AKI) has not been well studied.Data was extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) and the electronic intensive care unit database. We used two nutritional indicators, the GNRI and the modified Nutrition Risk in Critically ill (NUTRIC) score, to evaluate the relationship between the nutritional status of patients with AKI and prognosis. The outcome is in-hospital mortality and 90-day mortality. The prediction accuracy of GNRI was compared with the NUTRIC score.A total of 4,575 participants with AKI were enrolled in this study. The median age of 68 (interquartile range, 56-79) years, and 1,142 (25.0%) patients experienced in-hospital mortality, and 1,238 (27.1%) patients experienced 90-day mortality. Kaplan-Meier survival analysis indicated that lower GNRI levels and high NUTRIC score are associated with lower in-hospital and 90-day survival of patients with AKI (P < .001 by log-rank test). After multivariate adjustment, Cox regression analysis demonstrated a 2-fold increased risk of in-hospital (hazard ratio = 2.019, 95% confidence interval: 1.699-2.400, P < .001) and 90-day (hazard ratio = 2.023, 95% confidence interval: 1.715-2.387, P < .001) mortality in the low GNRI group. Moreover, the multivariate-adjusted Cox model containing GNRI had higher prediction accuracy for the prognosis of patients with AKI than that with NUTRIC score (AUCGNRI model vs. AUCNUTRIC model for in-hospital mortality = 0.738 vs. 0.726, AUCGNRI model vs. AUCNUTRIC model for 90-day mortality = 0.748 vs. 0.726). In addition, the prediction value of GNRI was validated by the electronic intensive care unit database (7,881 patients with AKI) with satisfying performance (AUCGNRI model = 0.680).Our results demonstrated that GNRI is strongly associated with survival in patients in the intensive care unit coexisting with AKI, and the GNRI has a superior predictive value than the NUTRIC score.
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
yjl完成签到,获得积分10
刚刚
1秒前
abc123完成签到,获得积分10
1秒前
2秒前
天草诺完成签到,获得积分10
2秒前
BR发布了新的文献求助30
2秒前
ZZZ完成签到,获得积分20
2秒前
赘婿应助stella采纳,获得20
3秒前
大模型应助蜡笔小天采纳,获得10
3秒前
大个应助菠萝采纳,获得10
3秒前
嘻嘻嘻发布了新的文献求助10
4秒前
Jocelyn完成签到,获得积分10
4秒前
所所应助RR采纳,获得10
4秒前
请假了发布了新的文献求助10
4秒前
汎影完成签到,获得积分10
4秒前
西西完成签到,获得积分10
5秒前
weifang_liang完成签到,获得积分10
5秒前
萨尔莫斯完成签到,获得积分10
5秒前
lucky完成签到 ,获得积分10
6秒前
7秒前
五岳三鸟完成签到,获得积分10
7秒前
7秒前
西门如豹完成签到,获得积分10
7秒前
火花发布了新的文献求助10
7秒前
8秒前
善学以致用应助陆柒子采纳,获得10
8秒前
ghost202完成签到,获得积分10
8秒前
SBQHY完成签到,获得积分10
8秒前
米饭儿完成签到 ,获得积分10
8秒前
不知完成签到 ,获得积分10
9秒前
9秒前
YWR完成签到,获得积分10
9秒前
9秒前
菲菲完成签到 ,获得积分10
10秒前
树杪完成签到 ,获得积分10
10秒前
倒霉兔子完成签到,获得积分0
11秒前
hhddr完成签到,获得积分10
11秒前
zhanghaha发布了新的文献求助50
12秒前
weifang_liang发布了新的文献求助10
12秒前
琉光完成签到,获得积分10
12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
The Complete Pro-Guide to the All-New Affinity Studio: The A-to-Z Master Manual: Master Vector, Pixel, & Layout Design: Advanced Techniques for Photo, Designer, and Publisher in the Unified Suite 1000
The International Law of the Sea (fourth edition) 800
Teacher Wellbeing: A Real Conversation for Teachers and Leaders 600
Synthesis and properties of compounds of the type A (III) B2 (VI) X4 (VI), A (III) B4 (V) X7 (VI), and A3 (III) B4 (V) X9 (VI) 500
Microbially Influenced Corrosion of Materials 500
Die Fliegen der Palaearktischen Region. Familie 64 g: Larvaevorinae (Tachininae). 1975 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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5402234
求助须知:如何正确求助?哪些是违规求助? 4520826
关于积分的说明 14082112
捐赠科研通 4434847
什么是DOI,文献DOI怎么找? 2434434
邀请新用户注册赠送积分活动 1426649
关于科研通互助平台的介绍 1405392