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 BV]
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
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
动听的琴完成签到,获得积分10
刚刚
1秒前
JamesPei应助111111采纳,获得10
1秒前
d甩甩发布了新的文献求助10
1秒前
1秒前
浅香小米发布了新的文献求助50
1秒前
2秒前
万能图书馆应助wangyunhang采纳,获得10
2秒前
2秒前
3秒前
3秒前
lililililiy关注了科研通微信公众号
6秒前
漂亮白云发布了新的文献求助10
6秒前
粒粒发布了新的文献求助10
7秒前
ly发布了新的文献求助10
7秒前
joruruo完成签到,获得积分10
8秒前
Misa完成签到,获得积分10
9秒前
慕青应助飞飞鱼采纳,获得10
9秒前
10秒前
10秒前
11秒前
丘比特应助yihengjiayou123采纳,获得30
11秒前
12秒前
牧青发布了新的文献求助10
13秒前
13秒前
rtx00完成签到,获得积分10
14秒前
14秒前
清爽的雨竹完成签到,获得积分10
15秒前
wwj1122发布了新的文献求助10
15秒前
Orange应助优秀的方盒采纳,获得10
16秒前
wangyunhang发布了新的文献求助10
17秒前
抹茶完成签到 ,获得积分10
17秒前
动听凝安发布了新的文献求助10
17秒前
17秒前
18秒前
18秒前
元力发布了新的文献求助10
19秒前
shenlaizhibi发布了新的文献求助10
19秒前
上上签发布了新的文献求助10
20秒前
武玉坤完成签到,获得积分10
20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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 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 6361439
求助须知:如何正确求助?哪些是违规求助? 8175188
关于积分的说明 17221423
捐赠科研通 5416250
什么是DOI,文献DOI怎么找? 2866218
邀请新用户注册赠送积分活动 1843512
关于科研通互助平台的介绍 1691443