亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Model for End‐Stage Liver Disease‐Lactate and Prediction of Inpatient Mortality in Patients With Chronic Liver Disease

慢性肝病 肝病 医学 阶段(地层学) 终末期肝病模型 疾病 内科学 胃肠病学 肝硬化 肝移植 生物 古生物学 移植
作者
Naveed Sarmast,Gerald Ogola,Maria Kouznetsova,Michael D. Leise,Ranjeeta Bahirwani,Rakhi Maiwall,Elliot B. Tapper,James F. Trotter,Jasmohan S. Bajaj,Leroy R. Thacker,Puneeta Tandon,Florence Wong,K. Rajender Reddy,Jacqueline G. O’Leary,Andrew L. Masica,Ariel Modrykamien,Patrick S. Kamath,Sumeet K. Asrani
出处
期刊:Hepatology [Lippincott Williams & Wilkins]
卷期号:72 (5): 1747-1757 被引量:78
标识
DOI:10.1002/hep.31199
摘要

Background and Aims Compared to other chronic diseases, patients with chronic liver disease (CLD) have significantly higher inpatient mortality; accurate models to predict inpatient mortality are lacking. Serum lactate (LA) may be elevated in patients with CLD due to both tissue hypoperfusion as well as decreased LA clearance. We hypothesized that a parsimonious model consisting of Model for End‐Stage Liver Disease (MELD) and LA at admission may predict inpatient mortality in patients with CLD. Approach and Results We examined all patients with CLD in two large and diverse health care systems in Texas (North Texas [NTX] and Central Texas [CTX]) between 2010 and 2015. We developed (n = 3,588) and validated (n = 1,804) a model containing MELD and LA measured at the time of hospitalization. We further validated the model in a second cohort of 14 tertiary care hepatology centers that prospectively enrolled nonelective hospitalized patients with cirrhosis (n = 726). MELD‐LA was an excellent predictor of inpatient mortality in development (concordance statistic [C‐statistic] = 0.81, 95% confidence interval [CI] 0.79‐0.82) and both validation cohorts (CTX cohort, C‐statistic = 0.85, 95% CI 0.78‐0.87; multicenter cohort C‐statistic = 0.82, 95% CI 0.74‐0.88). MELD‐LA performed especially well in patients with specific cirrhosis diagnoses (C‐statistic = 0.84, 95% CI 0.81‐0.86) or sepsis (C‐statistic = 0.80, 95% CI 0.78‐0.82). For MELD score 25, inpatient mortality rates were 11.2% (LA = 1 mmol/L), 19.4% (LA = 3 mmol/L), 34.3% (LA = 5 mmol/L), and >50% (LA > 8 mmol/L). A linear increase ( P < 0.01) was seen in MELD‐LA and increasing number of organ failures. Overall, use of MELD‐LA improved the risk prediction in 23.5% of patients compared to MELD alone. Conclusions MELD‐LA (bswh.md/meldla) is an early and objective predictor of inpatient mortality and may serve as a model for risk assessment and guide therapeutic options.
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
星辰大海应助一牧牧采纳,获得10
1秒前
冯冯完成签到 ,获得积分10
1秒前
科研狗完成签到 ,获得积分10
8秒前
14秒前
wumumu完成签到,获得积分10
14秒前
碗碗完成签到,获得积分10
29秒前
YYL完成签到 ,获得积分10
29秒前
34秒前
天天快乐应助lllll采纳,获得10
36秒前
Snmmer完成签到,获得积分10
36秒前
38秒前
Snmmer发布了新的文献求助10
40秒前
42秒前
奶味蓝发布了新的文献求助10
44秒前
wanci应助ranqiang采纳,获得10
56秒前
ranqiang完成签到,获得积分20
1分钟前
ai zs完成签到,获得积分10
1分钟前
烂漫靖柏完成签到 ,获得积分10
1分钟前
1分钟前
楊子完成签到,获得积分10
1分钟前
turtle完成签到 ,获得积分10
1分钟前
lllll发布了新的文献求助10
1分钟前
荔枝多酚完成签到,获得积分10
1分钟前
shuang完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
关我屁事完成签到 ,获得积分10
1分钟前
1分钟前
海洋完成签到 ,获得积分10
1分钟前
1分钟前
夏先生完成签到 ,获得积分20
1分钟前
1分钟前
Owen应助丁真人采纳,获得10
1分钟前
styxx发布了新的文献求助10
1分钟前
XHMM完成签到,获得积分10
1分钟前
YU发布了新的文献求助10
1分钟前
嘻嘻哈哈应助可乐wutang采纳,获得10
1分钟前
高分求助中
Clinical Epidemiology: The Essentials, 6e 10000
(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 Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
久松真一著作集〈第5巻〉禅と芸術 500
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 6549316
求助须知:如何正确求助?哪些是违规求助? 8336333
关于积分的说明 17863035
捐赠科研通 5661791
什么是DOI,文献DOI怎么找? 2938594
邀请新用户注册赠送积分活动 1914641
关于科研通互助平台的介绍 1780363